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                    <li><a class="section-jump-link contents-tab-jump-link scroll-to head-1" href="#249487580" data-tab-toggle=".tab-nav-full-text">Conclusions</a></li>
                    <li><a class="section-jump-link contents-tab-jump-link scroll-to head-1" href="#249487582" data-tab-toggle=".tab-nav-full-text">Article Information</a></li>
                    <li><a class="section-jump-link contents-tab-jump-link scroll-to head-1" href="#249487583" data-tab-toggle=".tab-nav-full-text">References</a></li>
                  </ul>
                </div>
                <div class="widget-SelfServeContent widget-instance-AMA_Contents_Tab_SelfServe">
                  <div class="self-serve">
                    <input type="hidden" class="SelfServeContentId" value="v2_article_content_tab">
                    <input type="hidden" class="SelfServeVersionId" value="0">
                    <div class="bc_right_rail_article_promo">
                      <div class="pg-container">
                        <div class="pg-text-container">
                          <div class="pg-link-container"></div>
                          <div style="width: 268px;">
                            <video-js
                              class="vjs-fluid video-js vjs-paused vjs-controls-enabled vjs-workinghover vjs-v8 vjs-user-active vjs-layout-x-small bc-player-YGTlZfnIMm_default bc-player-YGTlZfnIMm_default-index-0 vjs-mouse vjs-plugins-ready vjs-player-info vjs-contextmenu-ui vjs-viewability vjs-errors"
                              data-account="864352215001" data-application-id="" data-embed="default" data-player="YGTlZfnIMm" data-playlist-id="" data-video-id="6362812912112" height="476.44" width="268" id="vjs_video_3" tabindex="-1" lang="en"
                              translate="no" role="region" aria-label="Video Player"><video tabindex="-1" id="vjs_video_3_html5_api" data-video-id="6362812912112" data-playlist-id="" data-player="YGTlZfnIMm" data-embed="default"
                                data-application-id="" data-account="864352215001" class="vjs-tech"
                                poster="https://cf-images.us-east-1.prod.boltdns.net/v1/static/864352215001/be0a1926-64b9-4a85-abc4-16dd2fdb6081/e7b3d957-7f76-4d35-b6a0-30fc43148d62/1280x720/match/image.jpg"
                                src="blob:https://jamanetwork.com/600876a6-4a20-4cff-b04b-f530a0947068" data-blueconic-media-listener="true" width="268" height="476"></video>
                              <div class="vjs-poster" aria-disabled="false">
                                <picture class="vjs-poster" tabindex="-1"><img loading="lazy" alt=""
                                    src="https://cf-images.us-east-1.prod.boltdns.net/v1/static/864352215001/be0a1926-64b9-4a85-abc4-16dd2fdb6081/e7b3d957-7f76-4d35-b6a0-30fc43148d62/1280x720/match/image.jpg"></picture>
                              </div>
                              <div class="vjs-title-bar vjs-hidden">
                                <div class="vjs-title-bar-title" id="vjs-title-bar-title-92"></div>
                                <div class="vjs-title-bar-description" id="vjs-title-bar-description-93"></div>
                              </div>
                              <div class="vjs-text-track-display" translate="yes" aria-live="off" aria-atomic="true">
                                <div style="position: absolute; inset: 0px; margin: 1.5%;"></div>
                              </div>
                              <div class="vjs-loading-spinner" dir="ltr"><span class="vjs-control-text">Video Player is loading.</span></div><button class="vjs-big-play-button" type="button" title="Play Video" aria-disabled="false"><span
                                  class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Play Video</span></button>
                              <div class="vjs-control-bar" dir="ltr"><button class="vjs-play-control vjs-control vjs-button" type="button" title="Play" aria-disabled="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span
                                    class="vjs-control-text" aria-live="polite">Play</span></button><button class="vjs-skip-backward-undefined vjs-control vjs-button vjs-hidden" type="button" title="Skip Backward" aria-disabled="false"><span
                                    class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Skip Backward</span></button><button class="vjs-skip-forward-undefined vjs-control vjs-button vjs-hidden"
                                  type="button" title="Skip Forward" aria-disabled="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Skip Forward</span></button>
                                <div class="vjs-volume-panel vjs-control vjs-volume-panel-vertical"><button class="vjs-mute-control vjs-control vjs-button vjs-vol-3" type="button" title="Mute" aria-disabled="false"><span class="vjs-icon-placeholder"
                                      aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Mute</span></button>
                                  <div class="vjs-volume-control vjs-control vjs-volume-vertical">
                                    <div tabindex="0" class="vjs-volume-bar vjs-slider-bar vjs-slider vjs-slider-vertical" role="slider" aria-valuenow="100" aria-valuemin="0" aria-valuemax="100" aria-label="Volume Level" aria-live="polite"
                                      aria-valuetext="100%">
                                      <div class="vjs-mouse-display">
                                        <div class="vjs-volume-tooltip" aria-hidden="true"></div>
                                      </div>
                                      <div class="vjs-volume-level"><span class="vjs-control-text"></span></div>
                                    </div>
                                  </div>
                                </div>
                                <div class="vjs-current-time vjs-time-control vjs-control"><span class="vjs-control-text" role="presentation">Current Time&nbsp;</span><span class="vjs-current-time-display" role="presentation">0:00</span></div>
                                <div class="vjs-time-control vjs-time-divider" aria-hidden="true">
                                  <div><span>/</span></div>
                                </div>
                                <div class="vjs-duration vjs-time-control vjs-control"><span class="vjs-control-text" role="presentation">Duration&nbsp;</span><span class="vjs-duration-display" role="presentation">0:59</span></div>
                                <div class="vjs-progress-control vjs-control">
                                  <div tabindex="0" class="vjs-progress-holder vjs-slider vjs-slider-horizontal" role="slider" aria-valuenow="0.00" aria-valuemin="0" aria-valuemax="100" aria-label="Progress Bar" aria-valuetext="0:00 of 0:59">
                                    <div class="vjs-load-progress" style="width: 16.56%;"><span class="vjs-control-text"><span>Loaded</span>: <span class="vjs-control-text-loaded-percentage">16.56%</span></span>
                                      <div data-start="0.083416" data-end="9.919999" style="left: 0.84%; width: 99.16%;"></div>
                                    </div>
                                    <div class="vjs-mouse-display">
                                      <div class="vjs-time-tooltip" aria-hidden="true"></div>
                                    </div>
                                    <div class="vjs-play-progress vjs-slider-bar" aria-hidden="true" style="width: 0%;">
                                      <div class="vjs-time-tooltip" aria-hidden="true" style="right: 0px;">0:00</div>
                                    </div>
                                  </div>
                                </div>
                                <div class="vjs-live-control vjs-control vjs-hidden">
                                  <div class="vjs-live-display" aria-live="off"><span class="vjs-control-text">Stream Type&nbsp;</span>LIVE</div>
                                </div><button class="vjs-seek-to-live-control vjs-control" type="button" title="Seek to live, currently behind live" aria-disabled="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span
                                    class="vjs-control-text" aria-live="polite">Seek to live, currently behind live</span><span class="vjs-seek-to-live-text" aria-hidden="true">LIVE</span></button>
                                <div class="vjs-remaining-time vjs-time-control vjs-control"><span class="vjs-control-text" role="presentation">Remaining Time&nbsp;</span><span aria-hidden="true">-</span><span class="vjs-remaining-time-display"
                                    role="presentation">0:59</span></div>
                                <div class="vjs-custom-control-spacer vjs-spacer ">&nbsp;</div>
                                <div class="vjs-playback-rate vjs-menu-button vjs-menu-button-popup vjs-control vjs-button vjs-hidden">
                                  <div class="vjs-playback-rate-value" id="vjs-playback-rate-value-label-vjs_video_3_component_351">1x</div><button class="vjs-playback-rate vjs-menu-button vjs-menu-button-popup vjs-button" type="button"
                                    aria-disabled="false" title="Playback Rate" aria-haspopup="true" aria-expanded="false" aria-describedby="vjs-playback-rate-value-label-vjs_video_3_component_351"><span class="vjs-icon-placeholder"
                                      aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Playback Rate</span></button>
                                  <div class="vjs-menu">
                                    <ul class="vjs-menu-content"></ul>
                                  </div>
                                </div>
                                <div class="vjs-chapters-button vjs-menu-button vjs-menu-button-popup vjs-control vjs-button vjs-hidden"><button class="vjs-chapters-button vjs-menu-button vjs-menu-button-popup vjs-button" type="button"
                                    aria-disabled="false" title="Chapters" aria-haspopup="true" aria-expanded="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text"
                                      aria-live="polite">Chapters</span></button>
                                  <div class="vjs-menu">
                                    <ul class="vjs-menu-content">
                                      <li class="vjs-menu-title" tabindex="-1">Chapters</li>
                                    </ul>
                                  </div>
                                </div>
                                <div class="vjs-descriptions-button vjs-menu-button vjs-menu-button-popup vjs-control vjs-button vjs-hidden"><button class="vjs-descriptions-button vjs-menu-button vjs-menu-button-popup vjs-button" type="button"
                                    aria-disabled="false" title="Descriptions" aria-haspopup="true" aria-expanded="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text"
                                      aria-live="polite">Descriptions</span></button>
                                  <div class="vjs-menu">
                                    <ul class="vjs-menu-content">
                                      <li class="vjs-menu-item vjs-selected" tabindex="-1" role="menuitemradio" aria-disabled="false" aria-checked="true"><span class="vjs-menu-item-text">descriptions off</span><span class="vjs-control-text"
                                          aria-live="polite">, selected</span></li>
                                    </ul>
                                  </div>
                                </div>
                                <div class="vjs-subs-caps-button vjs-menu-button vjs-menu-button-popup vjs-control vjs-button vjs-hidden"><button class="vjs-subs-caps-button vjs-menu-button vjs-menu-button-popup vjs-button" type="button"
                                    aria-disabled="false" title="Captions" aria-haspopup="true" aria-expanded="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text"
                                      aria-live="polite">Captions</span></button>
                                  <div class="vjs-menu">
                                    <ul class="vjs-menu-content">
                                      <li class="vjs-menu-item vjs-texttrack-settings" tabindex="-1" role="menuitem" aria-disabled="false"><span class="vjs-menu-item-text">captions settings</span><span class="vjs-control-text" aria-live="polite">,
                                          opens captions settings dialog</span></li>
                                      <li class="vjs-menu-item vjs-selected" tabindex="-1" role="menuitemradio" aria-disabled="false" aria-checked="true"><span class="vjs-menu-item-text">captions off</span><span class="vjs-control-text"
                                          aria-live="polite">, selected</span></li>
                                    </ul>
                                  </div>
                                </div>
                                <div class="vjs-audio-button vjs-menu-button vjs-menu-button-popup vjs-control vjs-button vjs-hidden"><button class="vjs-audio-button vjs-menu-button vjs-menu-button-popup vjs-button" type="button"
                                    aria-disabled="false" title="Audio Track" aria-haspopup="true" aria-expanded="false"><span class="vjs-icon-placeholder" aria-hidden="true"></span><span class="vjs-control-text" aria-live="polite">Audio
                                      Track</span></button>
                                  <div class="vjs-menu">
                                    <ul class="vjs-menu-content">
                                      <li class="vjs-menu-item vjs-selected vjs-main-menu-item" tabindex="-1" role="menuitemradio" aria-disabled="false" aria-checked="true"><span class="vjs-menu-item-text">en (Main)</span><span
                                          class="vjs-control-text" aria-live="polite">, selected</span></li>
                                    </ul>
                                  </div>
                                </div>
                              </div>
                              <div class="vjs-error-display vjs-modal-dialog vjs-hidden " tabindex="-1" aria-describedby="vjs_video_3_component_543_description" aria-hidden="true" aria-label="Modal Window" role="dialog" aria-live="polite">
                                <p class="vjs-modal-dialog-description vjs-control-text" id="vjs_video_3_component_543_description">This is a modal window.</p>
                                <div class="vjs-modal-dialog-content" role="document"></div>
                              </div>
                              <div class="vjs-modal-dialog vjs-hidden  vjs-text-track-settings" tabindex="-1" aria-describedby="vjs_video_3_component_549_description" aria-hidden="true" aria-label="Caption Settings Dialog" role="dialog"
                                aria-live="polite">
                                <p class="vjs-modal-dialog-description vjs-control-text" id="vjs_video_3_component_549_description">Beginning of dialog window. Escape will cancel and close the window.</p>
                                <div class="vjs-modal-dialog-content" role="document">
                                  <div class="vjs-track-settings-colors">
                                    <fieldset class="vjs-fg vjs-track-setting">
                                      <legend id="captions-text-legend-vjs_video_3_component_549">Text</legend><span class="vjs-text-color"><label id="captions-foreground-color-vjs_video_3_component_549" class="vjs-label"
                                          for="vjs_select_576">Color</label><select id="vjs_select_576" aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549">
                                          <option id="captions-foreground-color-vjs_video_3_component_549-White" value="#FFF"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-White">White</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Black" value="#000"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Black">Black</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Red" value="#F00"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Red">Red</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Green" value="#0F0"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Green">Green</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Blue" value="#00F"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Blue">Blue</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Yellow" value="#FF0"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Yellow">Yellow</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Magenta" value="#F0F"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Magenta">Magenta</option>
                                          <option id="captions-foreground-color-vjs_video_3_component_549-Cyan" value="#0FF"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549 captions-foreground-color-vjs_video_3_component_549-Cyan">Cyan</option>
                                        </select></span><span class="vjs-text-opacity vjs-opacity"><label id="captions-foreground-opacity-vjs_video_3_component_549" class="vjs-label" for="vjs_select_581">Opacity</label><select id="vjs_select_581"
                                          aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-opacity-vjs_video_3_component_549">
                                          <option id="captions-foreground-opacity-vjs_video_3_component_549-Opaque" value="1"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-opacity-vjs_video_3_component_549 captions-foreground-opacity-vjs_video_3_component_549-Opaque">Opaque</option>
                                          <option id="captions-foreground-opacity-vjs_video_3_component_549-SemiTransparent" value="0.5"
                                            aria-labelledby="captions-text-legend-vjs_video_3_component_549 captions-foreground-opacity-vjs_video_3_component_549 captions-foreground-opacity-vjs_video_3_component_549-SemiTransparent">Semi-Transparent
                                          </option>
                                        </select></span>
                                    </fieldset>
                                    <fieldset class="vjs-bg vjs-track-setting">
                                      <legend id="captions-background-vjs_video_3_component_549">Text Background</legend><span class="vjs-bg-color"><label id="captions-background-color-vjs_video_3_component_549" class="vjs-label"
                                          for="vjs_select_591">Color</label><select id="vjs_select_591" aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549">
                                          <option id="captions-background-color-vjs_video_3_component_549-Black" value="#000"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Black">Black</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-White" value="#FFF"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-White">White</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Red" value="#F00"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Red">Red</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Green" value="#0F0"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Green">Green</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Blue" value="#00F"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Blue">Blue</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Yellow" value="#FF0"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Yellow">Yellow</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Magenta" value="#F0F"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Magenta">Magenta</option>
                                          <option id="captions-background-color-vjs_video_3_component_549-Cyan" value="#0FF"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549 captions-background-color-vjs_video_3_component_549-Cyan">Cyan</option>
                                        </select></span><span class="vjs-bg-opacity vjs-opacity"><label id="captions-background-opacity-vjs_video_3_component_549" class="vjs-label" for="vjs_select_596">Opacity</label><select id="vjs_select_596"
                                          aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549">
                                          <option id="captions-background-opacity-vjs_video_3_component_549-Opaque" value="1"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549-Opaque">Opaque</option>
                                          <option id="captions-background-opacity-vjs_video_3_component_549-SemiTransparent" value="0.5"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549-SemiTransparent">Semi-Transparent
                                          </option>
                                          <option id="captions-background-opacity-vjs_video_3_component_549-Transparent" value="0"
                                            aria-labelledby="captions-background-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549 captions-background-opacity-vjs_video_3_component_549-Transparent">Transparent</option>
                                        </select></span>
                                    </fieldset>
                                    <fieldset class="vjs-window vjs-track-setting">
                                      <legend id="captions-window-vjs_video_3_component_549">Caption Area Background</legend><span class="vjs-window-color"><label id="captions-window-color-vjs_video_3_component_549" class="vjs-label"
                                          for="vjs_select_606">Color</label><select id="vjs_select_606" aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549">
                                          <option id="captions-window-color-vjs_video_3_component_549-Black" value="#000"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Black">Black</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-White" value="#FFF"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-White">White</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Red" value="#F00"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Red">Red</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Green" value="#0F0"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Green">Green</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Blue" value="#00F"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Blue">Blue</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Yellow" value="#FF0"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Yellow">Yellow</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Magenta" value="#F0F"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Magenta">Magenta</option>
                                          <option id="captions-window-color-vjs_video_3_component_549-Cyan" value="#0FF"
                                            aria-labelledby="captions-window-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549 captions-window-color-vjs_video_3_component_549-Cyan">Cyan</option>
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                  <div class="figure-label">Figure. &nbsp;Adjusted Medicare Advantage (MA) Coverage, Postacute Care Use, and Patient Outcomes, 2015-2016</div><a id="aoi230101f1" class="figure-table-anchor"> </a>
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                    <p class="para">When MA coverage (A) was more than 99% but less than 100%, we plotted 99% to ensure sample sizes greater than 12.</p>
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                  <div class="table-label">Table 1. &nbsp;Comparison of Characteristics of Hospitalized Retirees With Public Insurance, by Study Group, 2015 vs 2016</div><a class="figure-table-anchor" id="aoi230101t1"> </a>
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                  <div class="table-label">Table 2. &nbsp;Difference-in-Difference Estimates for Medicare Advantage (MA) Coverage and Postacute Care Use</div><a class="figure-table-anchor" id="aoi230101t2"> </a>
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                <div class="supplement-title"><span class="title-label">Supplement 1.</span><p class="para">eAppendix</p><p class="para">eResults.</p></div>
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                <div class="supplement-title"><span class="title-label">Supplement 2.</span><p class="para">Data Sharing Statement</p></div>
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                            <div class="c6FQwAMaaL1"><span class="cbuVErIqnTf">Fred Charatan</span>, <span class="">The BMJ</span>, <span class="cGs9GoDtR8p">2005</span></div>
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                            <div class="c6FQwAMaaL1"><span class="cbuVErIqnTf">Michael McCarthy</span>, <span class="">The BMJ</span>, <span class="cGs9GoDtR8p">2014</span></div>
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                            <div class="c6FQwAMaaL1"><span class="cbuVErIqnTf">Deepon Bhaumik</span>, <span class="">The BMJ</span>, <span class="cGs9GoDtR8p">2023</span></div>
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                    <div class="comment-item--date-submitted">February 27, 2024</div>
                    <div class="comment-item--title thm-col fw-b sb-pc">Medicare Advantage restricts patient care, while costing us more</div>
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                      <span class="author-name fw-b">Linda Burke, Ph.D.</span> | Elmhurst University
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                      <span class="comment-item--text-limited ellipsis">The authors appropriately refrain from claiming equal outcomes for MA and TM patients in postacute care, based only 30 days of follow-up post-hospitalization. They appropriately
                        note that other studies have found better outcomes following the inpatient rehabilitation facility (IRF) that is more available to TM patients, versus its near-inaccessibility to patients in MA. <br>
                        <br> However, the article is based on an implied premise that is just not true: that by withholding more care from more patients, MA is saving taxpayer dollars. In fact, MA is 6 percent more expensive per patient than TM. This
                        is because MA is not</span>
                      <span class="comment-item--text-remaining"> Medicare, but a private, for-profit insurance plan. Profits are made by restricting care, limited networks, and overcoding. Other reasons for the higher cost of MA, versus TM, are the
                        payment upfront to the insurance company for each new MA enrollee; and also the twice-as-high commission paid to insurance brokers for selling a MA plan, versus a TM plan. (1)<br>
                        <br> Any discussion of outcomes under TM versus MA is incomplete without acknowledging that MA is costing us more than TM, while seriously restricting patients' access to care.<br>
                        <br> (1) J. Jacobson and D. Blumenthal. The Predominance of Medicare Advantage. N Engl J Med 2023; 389:2291-2298 (December 14, 2023)</span>
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                      <strong>CONFLICT OF INTEREST:</strong>
                      <span>None Reported</span>
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                    <p class="get-citation-citation">Huckfeldt PJ<span class="al-author-delim">, </span>Shier V<span class="al-author-delim">, </span>Escarce JJ, et al. Postacute Care for Medicare Advantage Enrollees Who Switched to Traditional
                      Medicare Compared With Those Who Remained in Medicare Advantage. <em>JAMA Health Forum.</em> 2024;5(2):e235325. doi:10.1001/jamahealthforum.2023.5325</p>
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                <div class="meta-article-type thm-col">Original Investigation </div>
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              <div class="meta-date"><span class="epub"><span class="month">February&nbsp;</span><span class="day">16, </span><span class="year">2024</span></span></div>
              <div class="meta-article-title-wrap">
                <h1 class="meta-article-title ">Postacute Care for Medicare Advantage Enrollees Who Switched to Traditional Medicare Compared With Those Who Remained in Medicare Advantage</h1>
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              <div class="meta-authors">
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                    class="wi-fullname brand-fg"><a href="/searchresults?author=Peter+J.+Huckfeldt&amp;q=Peter+J.+Huckfeldt" rel="nofollow" target="_blank">Peter J.&nbsp;Huckfeldt,&nbsp;PhD<sup>1</sup></a></span><span class="al-author-delim">;
                  </span><span class="wi-fullname brand-fg"><a href="/searchresults?author=Victoria+Shier&amp;q=Victoria+Shier" rel="nofollow" target="_blank">Victoria&nbsp;Shier,&nbsp;PhD<sup>2,7</sup></a></span><span class="al-author-delim">;
                  </span><span class="wi-fullname brand-fg"><a href="/searchresults?author=Jos%c3%a9+J.+Escarce&amp;q=Jos%c3%a9+J.+Escarce" rel="nofollow" target="_blank">José J.&nbsp;Escarce,&nbsp;MD, PhD<sup>3,4</sup></a></span>;
                  <a class="meta-authors--etal td-u stats-meta-authors--etal">et al</a></span>
                <span class="meta-authors--remaining"><span
                    class="wi-fullname brand-fg"><a href="/searchresults?author=Brendan+Rabideau&amp;q=Brendan+Rabideau" rel="nofollow" target="_blank">Brendan&nbsp;Rabideau,&nbsp;PhD<sup>5,6</sup></a></span><span class="al-author-delim">;
                  </span><span class="wi-fullname brand-fg"><a href="/searchresults?author=Tyler+Boese&amp;q=Tyler+Boese" rel="nofollow" target="_blank">Tyler&nbsp;Boese,&nbsp;MS<sup>1</sup></a></span><span class="al-author-delim">; </span><span
                    class="wi-fullname brand-fg"><a href="/searchresults?author=Helen+M.+Parsons&amp;q=Helen+M.+Parsons" rel="nofollow" target="_blank">Helen M.&nbsp;Parsons,&nbsp;PhD<sup>1</sup></a></span><span class="al-author-delim">; </span><span
                    class="wi-fullname brand-fg"><a href="/searchresults?author=Neeraj+Sood&amp;q=Neeraj+Sood" rel="nofollow" target="_blank">Neeraj&nbsp;Sood,&nbsp;PhD<sup>2,7</sup></a></span></span>
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                      <div class="meta-author-name"><sup>1</sup>Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis</div>
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                      <div class="meta-author-name"><sup>2</sup>Leonard D. Schaeffer Center for Health Policy &amp; Economics, University of Southern California, Los Angeles</div>
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                      <div class="meta-author-name"><sup>3</sup>Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles</div>
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                      <div class="meta-author-name"><sup>4</sup>Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles</div>
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                      <div class="meta-author-name"><sup>5</sup>Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland</div>
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                      <div class="meta-author-name"><sup>6</sup>Analysis Group, Inc, Los Angeles, California</div>
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                      <div class="meta-author-name"><sup>7</sup>Department of Health Policy and Management, Sol Price School of Public Policy, University of Southern California, Los Angeles</div>
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                <span class="meta-citation-journal-name">JAMA Health Forum. </span><span class="meta-citation"> 2024;5(2):e235325. doi:10.1001/jamahealthforum.2023.5325</span>
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                <span class="heading-text thm-col h3 cb section-type-keyPoints decorated-hed sb-sc ">Key Points</span>
                <p><strong>Question</strong>&nbsp; <span>What is the association of Medicare Advantage (MA) enrollment with postacute care use and patient outcomes among retired state employees?</span></p>
                <p><strong>Findings</strong>&nbsp; <span>This cohort study using Medicare data including 4613 hospitalizations of retired Ohio state employees found that after a mandatory MA plan was discontinued, enrollees who switched to
                    traditional Medicare received more intensive postacute care. No changes in 30-day hospital readmissions or mortality were observed.</span></p>
                <p><strong>Meaning</strong>&nbsp; <span>This finding suggests that MA plans provided less intensive postacute care than traditional Medicare, with no significant difference in measured short-term outcomes; measures of postacute
                    functional status over a longer follow-up period are needed.</span></p> <a class="article-section-id-anchor" id="249487531"></a>
                <div class="h3 cb section-type-abstract decorated-hed ">
                  <div class="heading-text thm-col sb-sc"> Abstract </div>
                </div>
                <p><strong>Importance</strong>&nbsp; <span>Medicare Advantage (MA) plans receive capitated per enrollee payments that create financial incentives to provide care more efficiently than traditional Medicare (TM); however, incentives
                    could be associated with MA plans reducing use of beneficial services. Postacute care can improve functional status, but it is costly, and thus may be provided differently to Medicare beneficiaries by MA plans compared with
                    TM.</span></p>
                <p><strong>Objective</strong>&nbsp; <span>To estimate the association of MA compared with TM enrollment with postacute care use and postdischarge outcomes.</span></p>
                <p><strong>Design, Setting, and Participants</strong>&nbsp; <span>This was a cohort study using Medicare data on 4613 hospitalizations among retired Ohio state employees and 2 comparison groups in 2015 and 2016. The study investigated
                    the association of a policy change with use of postacute care and outcomes. The policy changed state retiree health benefits in Ohio from a mandatory MA plan to subsidies for either supplemental TM coverage or an MA plan. After
                    policy implementation, approximately 75% of retired Ohio state employees switched to TM. Hospitalizations for 3 high-volume conditions that usually require postacute rehabilitation were assessed. Data from the Medicare Provider
                    Analysis and Review files were used to identify all hospitalizations in short-term acute care hospitals. Difference-in-difference regressions were used to estimate changes for retired Ohio state employees compared with other 2015
                    MA enrollees in Ohio and with Kentucky public retirees who were continuously offered a mandatory MA plan. Data analyses were performed from September 1, 2019, to November 30, 2023.</span></p>
                <p><strong>Exposures</strong>&nbsp; <span>Enrollment in Ohio state retiree health benefits in 2015, after which most members shifted to TM.</span></p>
                <p><strong>Main Outcomes and Measures</strong>&nbsp; <span>Received care in an inpatient rehabilitation facility, skilled nursing facility, or home health, or any postacute care; the occurrence of any hospital readmission; the number
                    of days in the community during the 30 days after hospital discharge; and mortality.</span></p>
                <p><strong>Results</strong>&nbsp; <span>The study sample included 2373 hospitalizations for Ohio public retirees, 1651 hospitalizations for other Humana MA enrollees in Ohio, and 589 hospitalizations for public retirees in Kentucky.
                    After the 2016 policy implementation, the percentage of hospitalizations covered by MA decreased by 70.1 (95% CI, −74.2 to −65.9) percentage points (pp), inpatient rehabilitation facility admissions increased by 9.7 (95% CI, 4.7
                    to 14.7) pp, use of only home health or skilled nursing facility care fell by 8.6 (95% CI, −14.6 to −2.6) pp, and days in the community fell by 1.6 (95% CI, −2.9 to −0.3) days for Ohio public retirees compared with other Humana MA
                    enrollees in Ohio. There was no change in 30-day mortality or hospital readmissions; similar results were found by comparisons using Kentucky public retirees as a control group.</span></p>
                <p><strong>Conclusions and Relevance</strong>&nbsp; <span>The findings of this cohort study indicate that after a change in retiree health benefits, most Ohio public retirees shifted from MA to TM and received more intensive postacute
                    care with no significant change in measured short-term postdischarge outcomes. Future work should consider additional measures of postacute functional status over a longer follow-up period.</span></p>
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                  <div class="heading-text thm-col sb-sc"> Introduction </div>
                </div>
                <a class="article-section-id-anchor" id="249487537"></a>
                <p class="para">The share of Medicare beneficiaries enrolled in Medicare Advantage (MA) instead of traditional fee-for-service Medicare (TM) continues to grow, with the MA share increasing from 19% in 2007 to 51% in
                  2023.<sup><a href="#aoi230101r1" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">1</a></sup> The US Centers for Medicare &amp; Medicaid Services (CMS) pay MA plans a monthly capitated rate to cover nearly
                  all health care expenses for plan enrollees, and plans keep as profits the portion of the payment not used for enrollees’ health care expenses. Plans are permitted to use tools such as prior authorization and a limited provider
                  network to manage enrollees’ health care use.<sup><a href="#aoi230101r2" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">2</a></sup> Proponents argue that these financial incentives and delivery tools for MA
                  plans enable them to provide care more efficiently than TM. However, in reducing costs, MA plans may focus on maintaining short-term health outcomes while neglecting services that promote better long-term health and functioning.</p>
                <a class="article-section-id-anchor" id="249487538"></a>
                <p class="para">Postacute care (PAC) may contribute to better long-term functioning, but also imposes higher short-term costs, and thus may be provided differently by MA plans compared with TM. After a hospital stay, patients can
                  receive rehabilitation services and skilled nursing care in an inpatient rehabilitation facility (IRF), a skilled nursing facility (SNF), or in their home from a home health agency (HH). Although there have not been large randomized
                  clinical trials evaluating alternative settings for postacute rehabilitation services, observational research has found that patients admitted to IRFs after a hospitalization for stroke had better mobility and ability to perform
                  self-care compared with patients admitted to SNFs.<sup><a href="#aoi230101r3" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">3</a></sup> Other research found that patients admitted to IRFs had lower
                  mortality (after stroke hospitalizations) and increased longer-term community residence (after hip fracture and stroke hospitalizations) compared with patients discharged to
                  SNFs.<sup><a href="#aoi230101r4" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">4</a></sup> Similarly, patients admitted to SNFs had lower readmissions than patients receiving HH, although with no
                  difference in mortality or functional outcomes.<sup><a href="#aoi230101r5" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">5</a></sup> However, IRF stays are substantially more expensive than SNF stays,
                  which in turn are more expensive than HH
                  episodes.<sup><a href="#aoi230101r5" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">5</a></sup><sup>,<a href="#aoi230101r6" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">6</a></sup>
                </p> <a class="article-section-id-anchor" id="249487539"></a>
                <p class="para">A 2022 report from the US Department of Health and Human Services Office of the Inspector General found that MA plans had denied requests for IRF care that were deemed to meet criteria for medical
                  necessity.<sup><a href="#aoi230101r6" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">6</a></sup> Consistent with the report, prior cross-sectional research has found that MA enrollees were more likely than
                  TM enrollees to be discharged to home without institutional postacute or HH after hospitalizations for joint replacement, stroke, and heart
                  failure,<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup> and were less likely than TM enrollees to be admitted to IRFs across
                  conditions.<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup><sup>,<a href="#aoi230101r8" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">8</a></sup>
                  The prior cross-sectional studies found limited evidence of an adverse association between MA enrollment and postdischarge outcomes such as readmissions. However, MA enrollment is voluntary and MA enrollees tend to be healthier (ie,
                  have lower mortality risk) than TM enrollees conditional on age, sex, and Medicaid enrollment.<sup><a href="#aoi230101r9" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">9</a></sup> As a result, studies
                  relating observed MA enrollment with patient outcomes may overstate MA’s ability to reduce costs without harming patient health. This study builds on prior work using changes in state retiree health benefits in Ohio as a natural
                  experiment to estimate the association of MA enrollment with PAC use and postdischarge outcomes.</p> <a class="article-section-id-anchor" id="249487540"></a>
                <div class="h3 cb section-type-section  ">
                  <div class="heading-text thm-col sb-sc"> Methods </div>
                </div>
                <a class="article-section-id-anchor" id="249487541"></a>
                <p class="para">This study was reviewed and approved by the University of Minnesota Institutional Review Board. Informed consent was waived because the research involved minimal risk to participants. The study followed the
                  Strengthening the Reporting of Observational Studies in Epidemiology (<a href="http://www.equator-network.org/reporting-guidelines/strobe/">STROBE</a>) reporting guideline.</p>
                <a class="article-section-id-anchor" id="249487542"></a>
                <p class="para">We investigated changes in PAC use and postdischarge outcomes among retired Ohio state employees (hereafter, public retirees) whose retiree health benefits changed from a mandatory sponsored MA plan for public retirees
                  in 2015 to a subsidy for purchasing coverage through an MA plan or supplemental coverage for TM in 2016. In a 2015 benefits guide, the Ohio Public Employee Retirement System (OPERS) explained the change by noting that the
                  OPERS-sponsored MA plan was more costly than the more comprehensive supplemental Medigap plans on the individual market and that per-retiree costs of providing the OPERS group plan were
                  rising.<sup><a href="#aoi230101r10" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">10</a></sup> Under the new OPERS retiree health benefit, public retirees received a monthly Health Reimbursement Account
                  allowance of up to $337 that they could use to purchase Medigap, Part D, or MA coverage through a private Medicare exchange (the Medicare Connector) managed by a private contractor. In January 2015, all Medicare-eligible Ohio public
                  retirees receiving health benefits were enrolled in a mandatory group MA plan managed by Humana, Inc (hereafter, other Humana MA enrollees). In 2016, when public retirees had a choice of supplemental TM or MA plans, only 25% chose
                  to remain enrolled in MA (eResults in <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>). The OPERS benefits guide describing the comprehensive benefits of
                  supplemental TM Medigap plans may have persuaded some public retirees to switch to TM.</p> <a class="article-section-id-anchor" id="249487543"></a>
                <p class="para">We estimated intent-to-treat effects of this policy change using a difference-in-differences approach, comparing changes in outcomes for Ohio public retirees after the change in health benefits with comparison groups
                  that were unaffected by the change. We focused on 2 distinct comparison groups that were likely to provide an accurate counterfactual for what would have happened to public retirees in the absence of the changes in health benefits.
                  Comparison group 1 comprised Ohio enrollees in other Humana MA plans (ie, not the plan for Ohio public retirees) in January 2015, 98% of whom remained enrolled in MA in 2016 as well. Because public retirees may have different trends
                  in health care use than other Medicare beneficiaries, for comparison group 2 we chose public retirees in Kentucky because they received retiree health benefits through a mandatory Humana MA plan in 2015 and 2016. Given that 75% of
                  the treatment group in Ohio shifted from MA to TM, whereas no more than 2% of the comparison groups shifted from MA to TM, our intention-to-treat estimates may provide a conservative estimate of the association of MA enrollment with
                  the stated study outcomes.</p> <a class="article-section-id-anchor" id="249487544"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Study Population </div>
                </div>
                <a class="article-section-id-anchor" id="249487545"></a>
                <p class="para">Our analysis investigated hospital stays and 30-day postdischarge periods for the treatment group and the 2 comparison groups between 2015 and 2016. We focused on 3 high-volume conditions that require intensive
                  rehabilitation after hospitalization: lower extremity joint replacement after a fracture; hip and femur procedures (after a fracture; in an academic tertiary hospital, the most common procedures were intramedullary nailing, dynamic
                  hip screw, and open reduction internal fixation<sup><a href="#aoi230101r11" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">11</a></sup>); and stroke (only the first stroke observed per patient during the
                  study period). For joint replacement, we included MS-DRG codes 469 and 470, with a principal diagnosis of fracture per the <i>International Classification of Diseases, Ninth Revision (ICD-9) and 10 Revision (ICD-10)</i> that are
                  used by the CMS Comprehensive Joint Replacement program<sup><a href="#aoi230101r12" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">12</a></sup>; and for stroke, we included MS-DRG codes 64, 65, and 66.
                  Medicare stipulates that 60% of IRF admissions must meet a set of conditions determined to require intensive rehabilitation; hip fracture and stroke are both
                  included.<sup><a href="#aoi230101r13" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">13</a></sup> Notably, these hospitalizations are unlikely to be elective and are not readily predictable as they occur
                  after an acute event such as a fracture or a stroke. Therefore, it is unlikely that MA compared with TM enrollment will substantially affect the probability of hospitalization for these conditions, although we also investigated this
                  empirically. We excluded hospital discharges occurring in December 2016 because we were not able to observe PAC use in 2017. Our analysis focused on index hospitalizations—admissions that did not occur within 30 days of another
                  hospital discharge—and excluded hospitalizations during which the patient died.</p> <a class="article-section-id-anchor" id="249487546"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Data Sources </div>
                </div>
                <a class="article-section-id-anchor" id="249487547"></a>
                <p class="para">We used the Medicare Master Beneficiary Summary File to identify retirees in Ohio with an MA plan or TM coverage, MA plan type and contract identifiers (for MA enrollees), state of residence, demographic and
                  socioeconomic status information, and mortality. We identified the contract identifiers for public retirees using information from the Ohio Public Retirees Open Enrollment Guide for retired state employees, detailed in the eAppendix
                  in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>.<sup><a href="#aoi230101r10" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">10</a></sup><sup>,<a href="#aoi230101r14" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">14</a></sup>
                </p> <a class="article-section-id-anchor" id="249487548"></a>
                <p class="para">A challenge to comparing health care use between MA and TM enrollees is finding consistent data for both types of Medicare beneficiaries. We identified index hospitalizations using the Medicare Provider Analysis and
                  Review (MedPAR) files, focusing on hospitals that received disproportionate share or medical education payments from CMS that are required to submit encounter claims for MA enrollees to receive full
                  payment<sup><a href="#aoi230101r15" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">15</a></sup><sup>,<a href="#aoi230101r16" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">16</a></sup>;
                  notably, this includes most short-term acute care hospitals.<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup> We identified hospital discharges for the included
                  conditions based on the Medicare Severity Diagnosis-Related Group (MS-DRG) on the hospital claim.<sup><a href="#aoi230101r12" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">12</a></sup></p>
                <a class="article-section-id-anchor" id="249487549"></a>
                <p class="para">We identified SNF admissions and days using SNF claims for TM enrollees and the Minimum Data Set (MDS) assessments for MA enrollees (augmented with SNF claims, in the small number of cases where they were reported in
                  MedPAR). We identified IRF stays from the Inpatient Rehabilitation Facility Patient Assessment Instrument, and HH episodes from the Home Health Outcome and Assessment Information Set (OASIS) data given that facilities must submit
                  assessments for both MA and TM enrollees.<sup><a href="#aoi230101r17" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">17</a></sup></p> <a class="article-section-id-anchor" id="249487550"></a>
                <p class="para">For our primary approach for measuring hospital readmissions, we used MedPAR and identified all hospitalizations in short-term acute care hospitals (across conditions) occurring within 30 days of the index hospital
                  discharge for which hospitals are required to submit information-only claims for MA enrollees. We created an alternative measure of readmissions, augmenting the MedPAR hospitalization data with discharge-level data from the
                  Healthcare Effectiveness Data and Information Set (HEDIS), which is further described in the eAppendix in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>.</p> <a class="article-section-id-anchor" id="249487551"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Study Measures </div>
                </div>
                <a class="article-section-id-anchor" id="249487552"></a>
                <p class="para">The outcome variables for the study analyses included measures of PAC use and patient outcomes within 30-days of hospital discharge. We focused on 3 binary categories indicating level of PAC use: patient received any
                  IRF, with or without SNF and/or HH (category 1); SNF or HH, but no IRF (category 2); and no PAC, ie, no HH, SNF, or IRF (category 3). For category 2, we separately assessed whether the patient had received SNF (with or without HH)
                  compared with receiving only HH. Patient outcome variables included whether patients were readmitted to a hospital for any condition within 30 days of discharge (constructed separately using solely MedPAR data, and using both MedPAR
                  and HEDIS data); the number of days in the community during the 30-day postdischarge period (ie, alive and not in a hospital, nursing home, or institutional PAC setting); the number of days in an SNF, IRF, or nursing home; the
                  number of days in a hospital; and whether death occurred during the 30 days postdischarge; and days deceased.</p> <a class="article-section-id-anchor" id="249487553"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Statistical Analyses </div>
                </div>
                <a class="article-section-id-anchor" id="249487554"></a>
                <p class="para">Difference-in-differences regressions were used to estimate changes in PAC use and postdischarge outcomes after hospitalizations before and after the benefits policy change compared with each of the 2 comparison
                  groups. Explanatory variables in the regression included the interaction effect of being an Ohio public retiree after the policy change in 2016 (giving the coefficient estimate of interest), an indicator variable for being an Ohio
                  public retiree, year by quarter fixed effects, hospital fixed effects, and control variables, including age, sex, RTI (Research Triangle Institute) race and ethnicity code, MS-DRG code (ie, reason for a hospital admission), Medicaid
                  eligibility, and fixed effects for the discharging hospital. We did not control for other comorbidities because of concerns about more intensive diagnosis coding in
                  MA.<sup><a href="#aoi230101r18" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">18</a></sup> We estimated separate models for each of the 2 comparison groups. Linear regressions were used for continuous
                  variables and linear probability models were used for binary outcomes. Clustered standard errors were calculated at the treatment status by health service area
                  level.<sup><a href="#aoi230101r19" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">19</a></sup> Further details on the statistical analysis are available in the eAppendix in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>.</p> <a class="article-section-id-anchor" id="249487555"></a>
                <p class="para">In preliminary analyses, we estimated difference-in-differences regressions at the person-quarter level to assess whether the policy shifting Ohio public retirees to TM changed the probability of having hospital
                  admissions for the 3 conditions in our defined cohort. We performed this initial analysis because inclusion in our main analyses required having a hospitalization for a set of conditions, which could introduce selection bias if MA
                  enrollment affects the probability of hospital admission for these conditions.</p> <a class="article-section-id-anchor" id="249487556"></a>
                <p class="para">The eAppendix in <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a> describes event study regressions that allowed for testing for differences
                  in time trends in outcomes by treatment status before the policy implementation and assess dynamic estimated effects on outcomes postpolicy intervention. Intent-to-treat estimates included Ohio public retirees who shifted to TM but
                  also a minority number of individuals who continued to be enrolled in MA. To understand the broader generalizability of these estimates, we compared the characteristics of the 2 groups of Ohio public retirees (those who in 2016
                  switched from mandatory MA plan to other MA plans vs those who switched to TM instead). As a placebo test, we estimated separate difference-in-difference regressions for Ohio public retirees who continued with the MA plan (vs those
                  who switched to TM). In addition, we explored the presence of heterogeneous effects, estimating separate effects for patients with stroke or fracture, and for patients residing in metropolitan or nonmetropolitan
                  counties.<sup><a href="#aoi230101r20" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">20</a></sup></p> <a class="article-section-id-anchor" id="249487557"></a>
                <p class="para">Statistical tests were 2-tailed and <i>P</i> &lt; .05 were considered statistically significant. Data analyses were performed from September 1, 2019, to November 30, 2023, and final estimates were generated using
                  Stata, version 18.0 MP-parallel edition (StataCorp).</p> <a class="article-section-id-anchor" id="249487558"></a>
                <div class="h3 cb section-type-section  ">
                  <div class="heading-text thm-col sb-sc"> Results </div>
                </div>
                <a class="article-section-id-anchor" id="249487559"></a>
                <p class="para">From January 1 to December 31, 2015, and from January 1 to November 1, 2016, there were 1217 and 1156 hospital discharges, respectively, for the 3 conditions (lower extremity joint replacement after a fracture, hip and
                  femur procedures, and stroke) among Ohio public retirees compared with 840 and 811 for other Ohio Humana MA enrollees, and 285 and 304 for Kentucky public retirees
                  (<a href="#aoi230101t1" class="table-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Table 1</a>). The demographic characteristics of the Ohio public retirees in 2015 were similar to those of the comparison groups;
                  eg, both Ohio and Kentucky, public retirees were more likely to be female. However, in Kentucky, a higher percentage of public retirees were White. The composition of hospitalized individuals did not change substantially among
                  groups across the 2 years. Notably, we found no relative change in the probability of hospitalization for the conditions in the study sample for Ohio public retirees and either of the comparison groups (other Ohio Humana MA
                  enrollees or Kentucky retirees), alleviating concerns about selection bias coming from conditioning the main analysis on having a hospitalization (eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>).</p> <a class="article-section-id-anchor" id="249487561"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Descriptive Findings </div>
                </div>
                <a class="article-section-id-anchor" id="249487562"></a>
                <p class="para">The adjusted rate of MA coverage for hospital stays (adjusting for the control variables) decreased for Ohio public retirees hospitalized for the 3 conditions, from nearly 100% in early 2015 to approximately 25% in
                  2016, whereas enrollees in other Ohio Humana MA plans in 2015 (comparison group 1) mostly continued their enrollment in MA in 2016
                  (<a href="#aoi230101f1" class="figure-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Figure</a>, A). When Ohio public retirees’ health benefits were provided through a mandatory Humana MA plan in 2015, inpatient
                  rehabilitation use was similar to other Ohio Humana MA plans (&lt;8% of discharges), but when most Ohio public retirees switched to TM in 2016, inpatient rehabilitation admissions increased to approximately 16% of hospital
                  discharges, whereas other Ohio Humana MA plans’ IRF admission rates remained lower (<a href="#aoi230101f1" class="figure-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Figure</a>, B).</p>
                <a class="article-section-id-anchor" id="249487564"></a>
                <p class="para">The percentage of Ohio public retirees and other Ohio Humana MA enrollees receiving only HH or SNF was greater than 75% in 2015, but fell for Ohio public retirees in 2016
                  (<a href="#aoi230101f1" class="figure-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Figure</a>, C); the overall high rate of SNF admissions reflects that approximately half of the sample was comprised of patients
                  with hip fracture , a condition that has a high rate of discharge to SNFs after hospitalization.<sup><a href="#aoi230101r21" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">21</a></sup></p>
                <a class="article-section-id-anchor" id="249487565"></a>
                <p class="para">Hospital readmissions were similar for Ohio public retirees and other Humana MA enrollees in both 2015 and 2016, suggesting that switching from MA to TM did not affect hospital readmissions
                  (<a href="#aoi230101f1" class="figure-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Figure</a>, D). However, there was a decrease in the number of days Ohio public retirees spent in the community after hospital
                  discharge after the switch from TM to MA compared with other Ohio MA enrollees (<a href="#aoi230101f1" class="figure-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Figure</a>, E). Event study results show that
                  trends in each outcome were generally parallel between Ohio public retirees and other Ohio Humana MA enrollees before the policy change (supporting the use of other Ohio Humana MA enrollees as a comparison group; eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>). By the fourth quarter of 2016, inpatient rehabilitation facility admissions had increased by 11.5
                  percentage points (pp) (95% CI, 5.5 to 17.8; <i>P</i> &lt; .001) and receiving only HH or SNF fell by 9.8 pp (95% CI, −1.2 to −1.4; <i>P</i> = .02).</p> <a class="article-section-id-anchor" id="249487566"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Difference-in-Differences Results </div>
                </div>
                <a class="article-section-id-anchor" id="249487567"></a>
                <p class="para"><a href="#aoi230101t2" class="table-link section-jump-link" data-tab-toggle=".tab-nav-figure-table">Table 2</a> displays difference-in-differences estimates for PAC and postdischarge patient outcomes. The first column
                  displays the 2015 mean for Ohio public retirees, followed by separate difference-in-differences estimates for Ohio public retirees compared with other Ohio Humana MA enrollees (comparison group 1) and Ohio public retirees compared
                  with Kentucky public retirees (comparison group 2). Compared with other Ohio Humana MA enrollees, the percentage of hospitalizations for Ohio public retirees covered by MA decreased by 70.1 (95% CI, −74.2 to −65.9) pp from 2015 to
                  2016 (<i>P</i> &lt; .001). During the same period, relative to other Ohio Humana MA enrollees, inpatient rehabilitation facility admissions among Ohio public retirees increased by 9.7 (95% CI, 4.7 to 14.7; <i>P</i> &lt; .001) pp and
                  the percentage of Ohio public retirees receiving only HH or SNF fell by 8.6 (95% CI, −14.6 to −2.6; <i>P</i> = .006) pp; this was nominally driven by reductions in SNF rather than only HH use; however, the estimates were
                  statistically insignificant. There was no change in the overall probability of using PAC. We found similar relative changes in PAC use comparing Ohio public retirees to Kentucky public retirees, although there was a nominally
                  larger, but statistically insignificant, reduction in receiving no PAC, and the reduction in use of SNF or HH without IRF was also statistically insignificant.</p> <a class="article-section-id-anchor" id="249487569"></a>
                <p class="para">We assessed 2 measures of readmissions: the first included readmissions identified in MedPAR occurring in short-term acute care hospitals that are required to submit information-only claims to Medicare for MA
                  enrollees. The second included all acute care and critical access hospital readmissions identified in MedPAR as well as hospital readmissions identified in HEDIS data (for MA enrollees). Despite the increased intensity of PAC use
                  after Ohio public retirees switched from MA to TM, we found no relative change in hospital readmissions across readmission measures and comparison groups.</p> <a class="article-section-id-anchor" id="249487570"></a>
                <p class="para">In the 30 days after hospital discharge, the Medicare beneficiaries in the sample were in 1 of 4 mutually exclusive and exhaustive states: (1) in the community, (2) readmitted to hospital, (3) in a PAC facility or
                  nursing home, or (4) deceased. We investigated the number of days-stay in each state for Ohio public retirees and the 2 comparison groups. We found statistically significant reductions in the number of days that Ohio public retirees
                  resided in the community during the first 30 days after hospital discharge (−1.6 [95% CI, −2.9 to −0.3] and −2.5 [95% CI, −4.9 to −0.1]) days for comparison groups 1 and 2, respectively. The reduction in community days was nominally
                  driven by increased days in PAC, but this was only significant when comparing Ohio public retirees with Kentucky public retirees (3.1; 95% CI, 0.9 to 5.3; <i>P</i> = .007) days. We also found no significant change in mortality after
                  Ohio public retirees switched to TM.</p> <a class="article-section-id-anchor" id="249487571"></a>
                <p class="para">Our analysis used an intent-to-treat design, and not all Ohio public retirees switched to TM in 2016 (approximately 25% of hospitalized patients in our sample remained in MA). These 2 groups were similar in terms of
                  demographic and clinical composition, implying the broader generalizability of the estimates across Ohio public retirees (eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>). Changes in PAC use were driven entirely by the Ohio public retirees switching to TM (eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>), ruling out that effects were driven by changes in plan design among public retirees electing to
                  continue coverage with MA. We found nominally larger estimated effects on PAC use for patients with stroke rather than fractures patients, but the differences in the effects were statistically insignificant (eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>). We found a similar pattern of results for metropolitan compared with nonmetropolitan counties, although
                  there was nominal (but statistically insignificant) increase in receiving no PAC for nonmetropolitan counties (eResults in
                  <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 1</a>).</p> <a class="article-section-id-anchor" id="249487572"></a>
                <div class="h3 cb section-type-section  ">
                  <div class="heading-text thm-col sb-sc"> Discussion </div>
                </div>
                <a class="article-section-id-anchor" id="249487573"></a>
                <p class="para">When Ohio shifted public retiree health benefits from a mandatory MA plan in 2015 to subsidies for either a MA plan or supplemental coverage for TM, most retirees switched to TM. This natural experiment provided a
                  unique opportunity to identify the association of MA with PAC use and outcomes for Medicare beneficiaries. We found that, under TM, Ohio public retirees were more likely to be discharged to a more intensive and expensive IRF and
                  less likely to receive only SNF or HH. However, despite receiving more intensive PAC under TM, hospital readmissions and 30-day mortality for Ohio public retirees were unchanged. Because of the direct mechanical association with
                  more days spent in PAC facilities, days in the community during the 30 days postdischarge were reduced under TM.</p> <a class="article-section-id-anchor" id="249487574"></a>
                <p class="para">The finding that Ohio public retirees were more likely to be discharged to an IRF under TM is consistent with the findings of prior cross-sectional studies comparing MA with TM, which found lower use of PAC overall in
                  MA,<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup><sup>,<a href="#aoi230101r8" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">8</a>,<a href="#aoi230101r22" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">22</a></sup>
                  shorter stays in SNFs with fewer therapy minutes,<sup><a href="#aoi230101r23" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">23</a></sup> lower use of postacute
                  HH,<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup><sup>,<a href="#aoi230101r24" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">24</a></sup>
                  lower use of
                  IRF,<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup><sup>,<a href="#aoi230101r8" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">8</a></sup>
                  and evidence of substitution of SNF for IRF care after stroke and joint replacement
                  hospitalizations.<sup><a href="#aoi230101r7" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">7</a></sup><sup>,<a href="#aoi230101r8" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">8</a></sup>
                </p> <a class="article-section-id-anchor" id="249487575"></a>
                <p class="para">A key contribution of our research is showing that MA vs TM differences in IRF use reflect different approaches to providing PAC rather than patient-level selection into MA. However, an important unanswered question
                  raised by this and previous studies is whether the reduced use of IRFs in MA results from case-by-case “active management” that tries to match each patient to the most appropriate type of PAC or from general restrictions—eg, through
                  the exclusion of IRFs from plans’ networks—that can only be overcome with extensive effort, persistence, and clinical justification. Notably, the available benefits documentation for the sponsored MA plan in our study did not
                  mention IRF services.</p> <a class="article-section-id-anchor" id="249487576"></a>
                <p class="para">Barnett et al<sup><a href="#aoi230101r25" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">25</a></sup> previously noted that TM payment reforms, such as Accountable Care Organizations and
                  bundled payment and MA plans generate savings by reducing the use of PAC, which may have adverse effects on patients and caregivers. Moreover, the concern with the lower use of IRF in MA is that beneficiaries who would benefit from
                  the more intensive rehabilitation services may not be allowed access to these services. We found that when compared with MA, TM did not affect hospital readmissions or 30-day mortality for Ohio public retirees. However, long-term
                  improvement in functioning, the main goal of rehabilitation, may occur even without changes in short-term outcomes such as hospital readmission and 30-day mortality.</p> <a class="article-section-id-anchor" id="249487577"></a>
                <p class="para">As noted earlier, prior studies of TM
                  beneficiaries<sup><a href="#aoi230101r3" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">3</a></sup><sup>,<a href="#aoi230101r4" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">4</a></sup>
                  found that patients with hip fracture or stroke were more likely to be alive and residing in the community at 120 days after hospital discharge when they received rehabilitation care in IRFs compared with SNFs, and that patients
                  admitted to IRFs had better mobility and ability to perform self-care activities than patients in SNFs. Other recent research using the US National Health and Aging Trends
                  Study<sup><a href="#aoi230101r22" class="ref-link section-jump-link" data-tab-toggle=".tab-nav-references">22</a></sup> found that MA enrollees had less functional improvement during postacute care use. More causal evidence is
                  needed on the effects of MA compared with those of TM for a broader set of functional outcomes over a longer study period.</p> <a class="article-section-id-anchor" id="249487578"></a>
                <div class="h4 cb section-type-section  ">
                  <div class="heading-text "> Limitations </div>
                </div>
                <a class="article-section-id-anchor" id="249487579"></a>
                <p class="para">This analysis had limitations. First, hospital readmissions and community residence at 30 days after discharge do not fully capture postdischarge functional status. Future work should consider the longer-term effects
                  of less-intensive PAC on beneficiaries’ functional status and on the well-being of caregivers. Second, a key unanswered question for future research is the mechanisms by which MA plans change PAC use, eg, whether this is done using
                  prior authorization, more active discharge planning, or as previously suggested, narrower facility and clinician networks that largely exclude IRFs. Third, we selected conditions for which intensive rehabilitation is less
                  discretionary after a hospitalization; the association of MA with PAC use may differ for other conditions requiring less rehabilitation.</p> <a class="article-section-id-anchor" id="249487580"></a>
                <div class="h3 cb section-type-section  ">
                  <div class="heading-text thm-col sb-sc"> Conclusions </div>
                </div>
                <a class="article-section-id-anchor" id="249487581"></a>
                <p class="para">This cohort study found that after a change in retiree health benefit policy, most Ohio public retirees shifted from MA to TM and received more intensive PAC with no significant change in the measured short-term
                  postdischarge outcomes. Future work should consider measures of postacute functional status over a longer follow-up period.</p> <a class="article-section-id-anchor" id="249487582"></a>
                <div class="h3 cb section-type-acknowledgements  has-back-to-top">
                  <a href="#top" class="section-jump-link back-to-top" data-tab-toggle=".tab-nav-full-text">Back to top</a>
                  <div class="heading-text thm-col sb-sc"> Article Information </div>
                </div>
                <p class="para"><strong>Accepted for Publication:</strong> December 13, 2023.</p>
                <p class="parapublished-online"><strong>Published:</strong> February 16, 2024. doi:10.1001/jamahealthforum.2023.5325</p>
                <p class="paraopen-access-note"><strong>Open Access:</strong> This is an open access article distributed under the terms of the <a href="https://jamanetwork.com/pages/cc-by-license-permissions">CC-BY License</a>. © 2024 Huckfeldt PJ
                  et al. <i>JAMA Health Forum</i>.</p>
                <p class="authorInfoSection"><strong>Corresponding Author:</strong> Peter J. Huckfeldt, PhD, Division of Health Policy and Management, University of Minnesota School of Public Health, 420 Delaware St SE, MMC 729, Minneapolis, MN 55455
                  (<a href="mailto:huckfeld@umn.edu" target="_blank">huckfeld@umn.edu</a>).</p>
                <p class="paraauthor-contributions"><strong>Author Contributions:</strong> Dr Huckfeldt had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.</p>
                <p class="para"><i>Concept and design:</i> Huckfeldt, Shier, Escarce, Sood.</p>
                <p class="para"><i>Acquisition, analysis, or interpretation of data:</i> Huckfeldt, Shier, Rabideau, Boese, Parsons, Sood.</p>
                <p class="para"><i>Drafting of the manuscript:</i> Huckfeldt, Escarce.</p>
                <p class="para"><i>Critical review of the manuscript for important intellectual content:</i> All authors.</p>
                <p class="para"><i>Statistical analysis:</i> Huckfeldt, Shier, Boese.</p>
                <p class="para"><i>Obtained funding:</i> Huckfeldt, Sood.</p>
                <p class="para"><i>Administrative, technical, or material support:</i> Huckfeldt, Shier, Rabideau, Boese.</p>
                <p class="para"><i>Supervision:</i> Huckfeldt, Escarce, Parsons, Sood.</p>
                <p class="parafinancial-disclosure"><strong>Conflict of Interest Disclosures:</strong> Dr Huckfeldt reported grants from the National Institute on Aging and the National Institute of Diabetes and Digestive and Kidney Diseases of the
                  US National Institutes of Health, the Agency for Healthcare Research and Quality, and the Robert Wood Johnson Foundation, and contract funding from the US Centers for Medicare &amp; Medicaid Services. Dr Boese reported funding from
                  the US Centers for Medicare &amp; Medicaid Services through NORC at the University of Chicago for evaluating the Next Generation Accountable Care Organization model and a grant from The Donaghue Foundation outside the submitted
                  work. Dr Rabideau reports receiving funding through a training grant from the US National Institute of Mental Health outside the submitted work.Dr Sood reported being a visiting scholar at Amazon.com. No other disclosures were
                  reported.</p>
                <p class="parafunding-statement"><strong>Funding/Support:</strong> This research was supported by the US National Institute on Aging (grant Nos. R01AG071731, R01AG079216, and R01AG046838).</p>
                <p class="para"><strong>Role of the Funder/Sponsor:</strong> The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the
                  manuscript; and decision to submit the manuscript for publication.</p>
                <p class="paradata-sharing-statement"><strong>Data Sharing Statement:</strong> See <a class="supplement-link section-jump-link" data-tab-toggle=".tab-nav-supplemental" href="#note-AOI230101-1">Supplement 2</a>.</p>
                <a class="article-section-id-anchor" id="249487583"></a>
                <div class="h3 cb section-type-references  ">
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Figure.  Adjusted Medicare Advantage (MA) Coverage, Postacute Care Use, and
Patient Outcomes, 2015-2016
View LargeDownload


When MA coverage (A) was more than 99% but less than 100%, we plotted 99% to
ensure sample sizes greater than 12.

Table 1.  Comparison of Characteristics of Hospitalized Retirees With Public
Insurance, by Study Group, 2015 vs 2016
View LargeDownload


Table 2.  Difference-in-Difference Estimates for Medicare Advantage (MA)
Coverage and Postacute Care Use
View LargeDownload



Supplement 1.

eAppendix

eResults.

Supplement 2.

Data Sharing Statement

1.
Kaiser Family Foundation. Medicare Advantage in 2023: Enrollment Update and Key
Trends. Accessed December 1, 2023.
https://www.kff.org/medicare/issue-brief/medicare-advantage-in-2023-enrollment-update-and-key-trends/
2.
Neuman  P, Jacobson  GA.  Medicare Advantage checkup.   N Engl J Med.
2018;379(22):2163-2172. doi:10.1056/NEJMhpr1804089PubMedGoogle ScholarCrossref
3.
Hong  I, Goodwin  JS, Reistetter  TA,  et al.  Comparison of functional
status improvements among patients with stroke receiving postacute care in
inpatient rehabilitation vs skilled nursing facilities.   JAMA Netw Open.
2019;2(12):e1916646. doi:10.1001/jamanetworkopen.2019.16646
ArticlePubMedGoogle ScholarCrossref
4.
Buntin  MB, Colla  CH, Deb  P, Sood  N, Escarce  JJ.  Medicare spending and
outcomes after postacute care for stroke and hip fracture.   Med Care.
2010;48(9):776-784. doi:10.1097/MLR.0b013e3181e359dfPubMedGoogle ScholarCrossref
5.
Werner  RM, Coe  NB, Qi  M, Konetzka  RT.  Patient outcomes after hospital
discharge to home with home health care vs to a skilled nursing facility. 
 JAMA Intern Med. 2019;179(5):617-623. doi:10.1001/jamainternmed.2018.7998
ArticlePubMedGoogle ScholarCrossref
6.
US Department of Health and Human Services Office of Inspector General. Some
Medicare Advantage Organization Denials of Prior Authorization Requests Raise
Concerns About Beneficiary Access to Medically Necessary Care. Accessed June 8,
2023. https://oig.hhs.gov/oei/reports/OEI-09-18-00260.asp
7.
Skopec  L, Huckfeldt  PJ, Wissoker  D,  et al.  Home health and postacute
care use in Medicare Advantage and traditional Medicare.   Health Aff
(Millwood). 2020;39(5):837-842. doi:10.1377/hlthaff.2019.00844PubMedGoogle
ScholarCrossref
8.
Huckfeldt  PJ, Escarce  JJ, Rabideau  B, Karaca-Mandic  P, Sood  N.  Less
intense postacute care, better outcomes for enrollees in Medicare Advantage than
those in fee-for-service.   Health Aff (Millwood). 2017;36(1):91-100.
doi:10.1377/hlthaff.2016.1027PubMedGoogle ScholarCrossref
9.
Newhouse  JP, Price  M, McWilliams  JM, Hsu  J, Souza  J, Landon  BE.
 Adjusted mortality rates are lower for Medicare Advantage than traditional
Medicare, but the rates converge over time.   Health Aff (Millwood).
2019;38(4):554-560. doi:10.1377/hlthaff.2018.05390PubMedGoogle ScholarCrossref
10.
Ohio Public Retirees Retirement System. 2015 OPERS HealthCare Medicare Guide.
2014. https://www.opers.org/
11.
Cooper  KB, Mears  SC, Siegel  ER, Stambough  JB, Bumpass  DB, Cherney
 SM.  The hip and femur fracture bundle: preliminary findings from a tertiary
hospital.   J Arthroplasty. 2022;37(8S):S761-S765.
doi:10.1016/j.arth.2022.03.059PubMedGoogle ScholarCrossref
12.
US Health and Human Services. CMS Comprehensive Joint Replacement program.
https://www.hhs.gov/guidance/document/cjr-icd-9-and-icd-10-hip-fracture-diagnosis-codes
13.
Medicare Payment Advisory Commission. Inpatient Rehabilitation Facilities
Payment System. Published 2021. Accessed July 27, 2023.
https://www.medpac.gov/wp-content/uploads/2021/11/medpac_payment_basics_21_irf_final_sec.pdf
14.
Ohio Public Retirees Retirement System. Open Enrollment Guide 2016. Published
2015. Accessed December 1, 2023.
https://www.opers.org/pubs-archive/healthcare/open/2016/2016openenrollmentguide.pdf
15.
US Centers for Medicare & Medicaid Services. Capturing days on which Medicare
beneficiaries are entitled to Medicare Advantage (MA) in the
Medicare/Supplemental Security Income (SSI) fraction. Published 2007. Accessed
July 27, 2023.
https://www.hhs.gov/guidance/document/capturing-days-which-medicare-beneficiaries-are-entitled-medicare-advantage-ma
16.
ResDAC. Identifying Medicare Managed Care Beneficiaries from the Master
Beneficiary Summary or Denominator Files. Published 2021. Accessed July 28,
2023.
https://resdac.org/articles/identifying-medicare-managed-care-beneficiaries-master-beneficiary-summary-or-denominator
17.
US Centers for Medicare & Medicaid Services. Home Health Quality Reporting
Program. Published 2023. Accessed November 30, 2023.
https://www.cms.gov/medicare/quality/home-health
18.
Geruso  M, Layton  T.  Upcoding: evidence from Medicare on Squishy risk
adjustment.   J Polit Econ. 2020;12(3):984-1026. doi:10.1086/704756PubMedGoogle
ScholarCrossref
19.
US National Cancer Institute. Health Service Areas. Published 2008. Accessed
December 1, 2023.
https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html
20.
US Department of Agriculture Economic Research Service. Rural-Urban Continuum
Codes. Published 2023. Accessed November 30, 2023.
https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/
21.
Cupp  MA, Beaudoin  FL, Hayes  KN,  et al.  Post-acute care setting after hip
fracture hospitalization and subsequent opioid use in older adults.   J Am Med
Dir Assoc. 2023;24(7):971-977.e4. doi:10.1016/j.jamda.2023.03.012PubMedGoogle
ScholarCrossref
22.
Achola  EM, Stevenson  DG, Keohane  LM.  Postacute care services use and
outcomes among traditional Medicare and Medicare Advantage beneficiaries. 
 JAMA Health Forum. 2023;4(8):e232517. doi:10.1001/jamahealthforum.2023.2517
ArticlePubMedGoogle ScholarCrossref
23.
Kumar  A, Rahman  M, Trivedi  AN, Resnik  L, Gozalo  P, Mor  V.  Comparing
post-acute rehabilitation use, length of stay, and outcomes experienced by
Medicare fee-for-service and Medicare Advantage beneficiaries with hip fracture
in the United States: a secondary analysis of administrative data.   PLoS Med.
2018;15(6):e1002592. doi:10.1371/journal.pmed.1002592PubMedGoogle
ScholarCrossref
24.
Loomer  L, Kosar  CM, Meyers  DJ, Thomas  KS.  Comparing receipt of
prescribed post-acute home health care between Medicare Advantage and
traditional Medicare beneficiaries: an observational study.   J Gen Intern Med.
2021;36(8):2323-2331. doi:10.1007/s11606-020-06282-3PubMedGoogle ScholarCrossref
25.
Barnett  ML, Mehrotra  A, Grabowski  DC.  Postacute care: the piggy bank for
savings in alternative payment models?   N Engl J Med. 2019;381(4):302-303.
doi:10.1056/NEJMp1901896PubMedGoogle ScholarCrossref
 * CMS and Lawmakers Take Action on Medicare Advantage Prior Authorization
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   Medical News & Perspectives
   September 24, 2024
   This Medical News article discusses care denials under Medicare Advantage
   plans and efforts to streamline the prior authorization process.
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EXPAND ALL
February 27, 2024
Medicare Advantage restricts patient care, while costing us more
Linda Burke, Ph.D. | Elmhurst University
The authors appropriately refrain from claiming equal outcomes for MA and TM
patients in postacute care, based only 30 days of follow-up
post-hospitalization. They appropriately note that other studies have found
better outcomes following the inpatient rehabilitation facility (IRF) that is
more available to TM patients, versus its near-inaccessibility to patients in
MA.

However, the article is based on an implied premise that is just not true: that
by withholding more care from more patients, MA is saving taxpayer dollars. In
fact, MA is 6 percent more expensive per patient than TM. This is because MA is
not Medicare, but a private, for-profit insurance plan. Profits are made by
restricting care, limited networks, and overcoding. Other reasons for the higher
cost of MA, versus TM, are the payment upfront to the insurance company for each
new MA enrollee; and also the twice-as-high commission paid to insurance brokers
for selling a MA plan, versus a TM plan. (1)

Any discussion of outcomes under TM versus MA is incomplete without
acknowledging that MA is costing us more than TM, while seriously restricting
patients' access to care.

(1) J. Jacobson and D. Blumenthal. The Predominance of Medicare Advantage. N
Engl J Med 2023; 389:2291-2298 (December 14, 2023)

CONFLICT OF INTEREST: None Reported
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   Huckfeldt PJ, Shier V, Escarce JJ, et al. Postacute Care for Medicare
   Advantage Enrollees Who Switched to Traditional Medicare Compared With Those
   Who Remained in Medicare Advantage. JAMA Health Forum. 2024;5(2):e235325.
   doi:10.1001/jamahealthforum.2023.5325
   
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Original Investigation
February 16, 2024


POSTACUTE CARE FOR MEDICARE ADVANTAGE ENROLLEES WHO SWITCHED TO TRADITIONAL
MEDICARE COMPARED WITH THOSE WHO REMAINED IN MEDICARE ADVANTAGE

Peter J. Huckfeldt, PhD1; Victoria Shier, PhD2,7; José J. Escarce, MD, PhD3,4;
et al Brendan Rabideau, PhD5,6; Tyler Boese, MS1; Helen M. Parsons, PhD1;
Neeraj Sood, PhD2,7
Author Affiliations Article Information
 * 1Division of Health Policy and Management, University of Minnesota School of
   Public Health, Minneapolis
 * 2Leonard D. Schaeffer Center for Health Policy & Economics, University of
   Southern California, Los Angeles
 * 3Division of General Internal Medicine and Health Services Research,
   Department of Medicine, David Geffen School of Medicine, University of
   California, Los Angeles
 * 4Department of Health Policy and Management, Fielding School of Public
   Health, University of California, Los Angeles
 * 5Department of Health Policy and Management, Bloomberg School of Public
   Health, Johns Hopkins University, Baltimore, Maryland
 * 6Analysis Group, Inc, Los Angeles, California
 * 7Department of Health Policy and Management, Sol Price School of Public
   Policy, University of Southern California, Los Angeles

JAMA Health Forum. 2024;5(2):e235325. doi:10.1001/jamahealthforum.2023.5325

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 * Medical News & Perspectives
   CMS and Lawmakers Take Action on Medicare Advantage Prior Authorization
   Eli Cahan, MD, MSc
   JAMA





Key Points

Question  What is the association of Medicare Advantage (MA) enrollment with
postacute care use and patient outcomes among retired state employees?

Findings  This cohort study using Medicare data including 4613 hospitalizations
of retired Ohio state employees found that after a mandatory MA plan was
discontinued, enrollees who switched to traditional Medicare received more
intensive postacute care. No changes in 30-day hospital readmissions or
mortality were observed.

Meaning  This finding suggests that MA plans provided less intensive postacute
care than traditional Medicare, with no significant difference in measured
short-term outcomes; measures of postacute functional status over a longer
follow-up period are needed.

Abstract

Importance  Medicare Advantage (MA) plans receive capitated per enrollee
payments that create financial incentives to provide care more efficiently than
traditional Medicare (TM); however, incentives could be associated with MA plans
reducing use of beneficial services. Postacute care can improve functional
status, but it is costly, and thus may be provided differently to Medicare
beneficiaries by MA plans compared with TM.

Objective  To estimate the association of MA compared with TM enrollment with
postacute care use and postdischarge outcomes.

Design, Setting, and Participants  This was a cohort study using Medicare data
on 4613 hospitalizations among retired Ohio state employees and 2 comparison
groups in 2015 and 2016. The study investigated the association of a policy
change with use of postacute care and outcomes. The policy changed state retiree
health benefits in Ohio from a mandatory MA plan to subsidies for either
supplemental TM coverage or an MA plan. After policy implementation,
approximately 75% of retired Ohio state employees switched to TM.
Hospitalizations for 3 high-volume conditions that usually require postacute
rehabilitation were assessed. Data from the Medicare Provider Analysis and
Review files were used to identify all hospitalizations in short-term acute care
hospitals. Difference-in-difference regressions were used to estimate changes
for retired Ohio state employees compared with other 2015 MA enrollees in Ohio
and with Kentucky public retirees who were continuously offered a mandatory MA
plan. Data analyses were performed from September 1, 2019, to November 30, 2023.

Exposures  Enrollment in Ohio state retiree health benefits in 2015, after which
most members shifted to TM.

Main Outcomes and Measures  Received care in an inpatient rehabilitation
facility, skilled nursing facility, or home health, or any postacute care; the
occurrence of any hospital readmission; the number of days in the community
during the 30 days after hospital discharge; and mortality.

Results  The study sample included 2373 hospitalizations for Ohio public
retirees, 1651 hospitalizations for other Humana MA enrollees in Ohio, and 589
hospitalizations for public retirees in Kentucky. After the 2016 policy
implementation, the percentage of hospitalizations covered by MA decreased by
70.1 (95% CI, −74.2 to −65.9) percentage points (pp), inpatient rehabilitation
facility admissions increased by 9.7 (95% CI, 4.7 to 14.7) pp, use of only home
health or skilled nursing facility care fell by 8.6 (95% CI, −14.6 to −2.6) pp,
and days in the community fell by 1.6 (95% CI, −2.9 to −0.3) days for Ohio
public retirees compared with other Humana MA enrollees in Ohio. There was no
change in 30-day mortality or hospital readmissions; similar results were found
by comparisons using Kentucky public retirees as a control group.

Conclusions and Relevance  The findings of this cohort study indicate that after
a change in retiree health benefits, most Ohio public retirees shifted from MA
to TM and received more intensive postacute care with no significant change in
measured short-term postdischarge outcomes. Future work should consider
additional measures of postacute functional status over a longer follow-up
period.


Introduction

The share of Medicare beneficiaries enrolled in Medicare Advantage (MA) instead
of traditional fee-for-service Medicare (TM) continues to grow, with the MA
share increasing from 19% in 2007 to 51% in 2023.1 The US Centers for Medicare &
Medicaid Services (CMS) pay MA plans a monthly capitated rate to cover nearly
all health care expenses for plan enrollees, and plans keep as profits the
portion of the payment not used for enrollees’ health care expenses. Plans are
permitted to use tools such as prior authorization and a limited provider
network to manage enrollees’ health care use.2 Proponents argue that these
financial incentives and delivery tools for MA plans enable them to provide care
more efficiently than TM. However, in reducing costs, MA plans may focus on
maintaining short-term health outcomes while neglecting services that promote
better long-term health and functioning.

Postacute care (PAC) may contribute to better long-term functioning, but also
imposes higher short-term costs, and thus may be provided differently by MA
plans compared with TM. After a hospital stay, patients can receive
rehabilitation services and skilled nursing care in an inpatient rehabilitation
facility (IRF), a skilled nursing facility (SNF), or in their home from a home
health agency (HH). Although there have not been large randomized clinical
trials evaluating alternative settings for postacute rehabilitation services,
observational research has found that patients admitted to IRFs after a
hospitalization for stroke had better mobility and ability to perform self-care
compared with patients admitted to SNFs.3 Other research found that patients
admitted to IRFs had lower mortality (after stroke hospitalizations) and
increased longer-term community residence (after hip fracture and stroke
hospitalizations) compared with patients discharged to SNFs.4 Similarly,
patients admitted to SNFs had lower readmissions than patients receiving HH,
although with no difference in mortality or functional outcomes.5 However, IRF
stays are substantially more expensive than SNF stays, which in turn are more
expensive than HH episodes.5,6

A 2022 report from the US Department of Health and Human Services Office of the
Inspector General found that MA plans had denied requests for IRF care that were
deemed to meet criteria for medical necessity.6 Consistent with the report,
prior cross-sectional research has found that MA enrollees were more likely than
TM enrollees to be discharged to home without institutional postacute or HH
after hospitalizations for joint replacement, stroke, and heart failure,7 and
were less likely than TM enrollees to be admitted to IRFs across conditions.7,8
The prior cross-sectional studies found limited evidence of an adverse
association between MA enrollment and postdischarge outcomes such as
readmissions. However, MA enrollment is voluntary and MA enrollees tend to be
healthier (ie, have lower mortality risk) than TM enrollees conditional on age,
sex, and Medicaid enrollment.9 As a result, studies relating observed MA
enrollment with patient outcomes may overstate MA’s ability to reduce costs
without harming patient health. This study builds on prior work using changes in
state retiree health benefits in Ohio as a natural experiment to estimate the
association of MA enrollment with PAC use and postdischarge outcomes.

Methods

This study was reviewed and approved by the University of Minnesota
Institutional Review Board. Informed consent was waived because the research
involved minimal risk to participants. The study followed the Strengthening the
Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

We investigated changes in PAC use and postdischarge outcomes among retired Ohio
state employees (hereafter, public retirees) whose retiree health benefits
changed from a mandatory sponsored MA plan for public retirees in 2015 to a
subsidy for purchasing coverage through an MA plan or supplemental coverage for
TM in 2016. In a 2015 benefits guide, the Ohio Public Employee Retirement System
(OPERS) explained the change by noting that the OPERS-sponsored MA plan was more
costly than the more comprehensive supplemental Medigap plans on the individual
market and that per-retiree costs of providing the OPERS group plan were
rising.10 Under the new OPERS retiree health benefit, public retirees received a
monthly Health Reimbursement Account allowance of up to $337 that they could use
to purchase Medigap, Part D, or MA coverage through a private Medicare exchange
(the Medicare Connector) managed by a private contractor. In January 2015, all
Medicare-eligible Ohio public retirees receiving health benefits were enrolled
in a mandatory group MA plan managed by Humana, Inc (hereafter, other Humana MA
enrollees). In 2016, when public retirees had a choice of supplemental TM or MA
plans, only 25% chose to remain enrolled in MA (eResults in Supplement 1). The
OPERS benefits guide describing the comprehensive benefits of supplemental TM
Medigap plans may have persuaded some public retirees to switch to TM.

We estimated intent-to-treat effects of this policy change using a
difference-in-differences approach, comparing changes in outcomes for Ohio
public retirees after the change in health benefits with comparison groups that
were unaffected by the change. We focused on 2 distinct comparison groups that
were likely to provide an accurate counterfactual for what would have happened
to public retirees in the absence of the changes in health benefits. Comparison
group 1 comprised Ohio enrollees in other Humana MA plans (ie, not the plan for
Ohio public retirees) in January 2015, 98% of whom remained enrolled in MA in
2016 as well. Because public retirees may have different trends in health care
use than other Medicare beneficiaries, for comparison group 2 we chose public
retirees in Kentucky because they received retiree health benefits through a
mandatory Humana MA plan in 2015 and 2016. Given that 75% of the treatment group
in Ohio shifted from MA to TM, whereas no more than 2% of the comparison groups
shifted from MA to TM, our intention-to-treat estimates may provide a
conservative estimate of the association of MA enrollment with the stated study
outcomes.

Study Population

Our analysis investigated hospital stays and 30-day postdischarge periods for
the treatment group and the 2 comparison groups between 2015 and 2016. We
focused on 3 high-volume conditions that require intensive rehabilitation after
hospitalization: lower extremity joint replacement after a fracture; hip and
femur procedures (after a fracture; in an academic tertiary hospital, the most
common procedures were intramedullary nailing, dynamic hip screw, and open
reduction internal fixation11); and stroke (only the first stroke observed per
patient during the study period). For joint replacement, we included MS-DRG
codes 469 and 470, with a principal diagnosis of fracture per the International
Classification of Diseases, Ninth Revision (ICD-9) and 10 Revision (ICD-10) that
are used by the CMS Comprehensive Joint Replacement program12; and for stroke,
we included MS-DRG codes 64, 65, and 66. Medicare stipulates that 60% of IRF
admissions must meet a set of conditions determined to require intensive
rehabilitation; hip fracture and stroke are both included.13 Notably, these
hospitalizations are unlikely to be elective and are not readily predictable as
they occur after an acute event such as a fracture or a stroke. Therefore, it is
unlikely that MA compared with TM enrollment will substantially affect the
probability of hospitalization for these conditions, although we also
investigated this empirically. We excluded hospital discharges occurring in
December 2016 because we were not able to observe PAC use in 2017. Our analysis
focused on index hospitalizations—admissions that did not occur within 30 days
of another hospital discharge—and excluded hospitalizations during which the
patient died.

Data Sources

We used the Medicare Master Beneficiary Summary File to identify retirees in
Ohio with an MA plan or TM coverage, MA plan type and contract identifiers (for
MA enrollees), state of residence, demographic and socioeconomic status
information, and mortality. We identified the contract identifiers for public
retirees using information from the Ohio Public Retirees Open Enrollment Guide
for retired state employees, detailed in the eAppendix in Supplement 1.10,14

A challenge to comparing health care use between MA and TM enrollees is finding
consistent data for both types of Medicare beneficiaries. We identified index
hospitalizations using the Medicare Provider Analysis and Review (MedPAR) files,
focusing on hospitals that received disproportionate share or medical education
payments from CMS that are required to submit encounter claims for MA enrollees
to receive full payment15,16; notably, this includes most short-term acute care
hospitals.7 We identified hospital discharges for the included conditions based
on the Medicare Severity Diagnosis-Related Group (MS-DRG) on the hospital
claim.12

We identified SNF admissions and days using SNF claims for TM enrollees and the
Minimum Data Set (MDS) assessments for MA enrollees (augmented with SNF claims,
in the small number of cases where they were reported in MedPAR). We identified
IRF stays from the Inpatient Rehabilitation Facility Patient Assessment
Instrument, and HH episodes from the Home Health Outcome and Assessment
Information Set (OASIS) data given that facilities must submit assessments for
both MA and TM enrollees.17

For our primary approach for measuring hospital readmissions, we used MedPAR and
identified all hospitalizations in short-term acute care hospitals (across
conditions) occurring within 30 days of the index hospital discharge for which
hospitals are required to submit information-only claims for MA enrollees. We
created an alternative measure of readmissions, augmenting the MedPAR
hospitalization data with discharge-level data from the Healthcare Effectiveness
Data and Information Set (HEDIS), which is further described in the eAppendix in
Supplement 1.

Study Measures

The outcome variables for the study analyses included measures of PAC use and
patient outcomes within 30-days of hospital discharge. We focused on 3 binary
categories indicating level of PAC use: patient received any IRF, with or
without SNF and/or HH (category 1); SNF or HH, but no IRF (category 2); and no
PAC, ie, no HH, SNF, or IRF (category 3). For category 2, we separately assessed
whether the patient had received SNF (with or without HH) compared with
receiving only HH. Patient outcome variables included whether patients were
readmitted to a hospital for any condition within 30 days of discharge
(constructed separately using solely MedPAR data, and using both MedPAR and
HEDIS data); the number of days in the community during the 30-day postdischarge
period (ie, alive and not in a hospital, nursing home, or institutional PAC
setting); the number of days in an SNF, IRF, or nursing home; the number of days
in a hospital; and whether death occurred during the 30 days postdischarge; and
days deceased.

Statistical Analyses

Difference-in-differences regressions were used to estimate changes in PAC use
and postdischarge outcomes after hospitalizations before and after the benefits
policy change compared with each of the 2 comparison groups. Explanatory
variables in the regression included the interaction effect of being an Ohio
public retiree after the policy change in 2016 (giving the coefficient estimate
of interest), an indicator variable for being an Ohio public retiree, year by
quarter fixed effects, hospital fixed effects, and control variables, including
age, sex, RTI (Research Triangle Institute) race and ethnicity code, MS-DRG code
(ie, reason for a hospital admission), Medicaid eligibility, and fixed effects
for the discharging hospital. We did not control for other comorbidities because
of concerns about more intensive diagnosis coding in MA.18 We estimated separate
models for each of the 2 comparison groups. Linear regressions were used for
continuous variables and linear probability models were used for binary
outcomes. Clustered standard errors were calculated at the treatment status by
health service area level.19 Further details on the statistical analysis are
available in the eAppendix in Supplement 1.

In preliminary analyses, we estimated difference-in-differences regressions at
the person-quarter level to assess whether the policy shifting Ohio public
retirees to TM changed the probability of having hospital admissions for the 3
conditions in our defined cohort. We performed this initial analysis because
inclusion in our main analyses required having a hospitalization for a set of
conditions, which could introduce selection bias if MA enrollment affects the
probability of hospital admission for these conditions.

The eAppendix in Supplement 1 describes event study regressions that allowed for
testing for differences in time trends in outcomes by treatment status before
the policy implementation and assess dynamic estimated effects on outcomes
postpolicy intervention. Intent-to-treat estimates included Ohio public retirees
who shifted to TM but also a minority number of individuals who continued to be
enrolled in MA. To understand the broader generalizability of these estimates,
we compared the characteristics of the 2 groups of Ohio public retirees (those
who in 2016 switched from mandatory MA plan to other MA plans vs those who
switched to TM instead). As a placebo test, we estimated separate
difference-in-difference regressions for Ohio public retirees who continued with
the MA plan (vs those who switched to TM). In addition, we explored the presence
of heterogeneous effects, estimating separate effects for patients with stroke
or fracture, and for patients residing in metropolitan or nonmetropolitan
counties.20

Statistical tests were 2-tailed and P < .05 were considered statistically
significant. Data analyses were performed from September 1, 2019, to November
30, 2023, and final estimates were generated using Stata, version 18.0
MP-parallel edition (StataCorp).

Results

From January 1 to December 31, 2015, and from January 1 to November 1, 2016,
there were 1217 and 1156 hospital discharges, respectively, for the 3 conditions
(lower extremity joint replacement after a fracture, hip and femur procedures,
and stroke) among Ohio public retirees compared with 840 and 811 for other Ohio
Humana MA enrollees, and 285 and 304 for Kentucky public retirees (Table 1). The
demographic characteristics of the Ohio public retirees in 2015 were similar to
those of the comparison groups; eg, both Ohio and Kentucky, public retirees were
more likely to be female. However, in Kentucky, a higher percentage of public
retirees were White. The composition of hospitalized individuals did not change
substantially among groups across the 2 years. Notably, we found no relative
change in the probability of hospitalization for the conditions in the study
sample for Ohio public retirees and either of the comparison groups (other Ohio
Humana MA enrollees or Kentucky retirees), alleviating concerns about selection
bias coming from conditioning the main analysis on having a hospitalization
(eResults in Supplement 1).

Descriptive Findings

The adjusted rate of MA coverage for hospital stays (adjusting for the control
variables) decreased for Ohio public retirees hospitalized for the 3 conditions,
from nearly 100% in early 2015 to approximately 25% in 2016, whereas enrollees
in other Ohio Humana MA plans in 2015 (comparison group 1) mostly continued
their enrollment in MA in 2016 (Figure, A). When Ohio public retirees’ health
benefits were provided through a mandatory Humana MA plan in 2015, inpatient
rehabilitation use was similar to other Ohio Humana MA plans (<8% of
discharges), but when most Ohio public retirees switched to TM in 2016,
inpatient rehabilitation admissions increased to approximately 16% of hospital
discharges, whereas other Ohio Humana MA plans’ IRF admission rates remained
lower (Figure, B).

The percentage of Ohio public retirees and other Ohio Humana MA enrollees
receiving only HH or SNF was greater than 75% in 2015, but fell for Ohio public
retirees in 2016 (Figure, C); the overall high rate of SNF admissions reflects
that approximately half of the sample was comprised of patients with hip
fracture , a condition that has a high rate of discharge to SNFs after
hospitalization.21

Hospital readmissions were similar for Ohio public retirees and other Humana MA
enrollees in both 2015 and 2016, suggesting that switching from MA to TM did not
affect hospital readmissions (Figure, D). However, there was a decrease in the
number of days Ohio public retirees spent in the community after hospital
discharge after the switch from TM to MA compared with other Ohio MA enrollees
(Figure, E). Event study results show that trends in each outcome were generally
parallel between Ohio public retirees and other Ohio Humana MA enrollees before
the policy change (supporting the use of other Ohio Humana MA enrollees as a
comparison group; eResults in Supplement 1). By the fourth quarter of 2016,
inpatient rehabilitation facility admissions had increased by 11.5 percentage
points (pp) (95% CI, 5.5 to 17.8; P < .001) and receiving only HH or SNF fell by
9.8 pp (95% CI, −1.2 to −1.4; P = .02).

Difference-in-Differences Results

Table 2 displays difference-in-differences estimates for PAC and postdischarge
patient outcomes. The first column displays the 2015 mean for Ohio public
retirees, followed by separate difference-in-differences estimates for Ohio
public retirees compared with other Ohio Humana MA enrollees (comparison group
1) and Ohio public retirees compared with Kentucky public retirees (comparison
group 2). Compared with other Ohio Humana MA enrollees, the percentage of
hospitalizations for Ohio public retirees covered by MA decreased by 70.1 (95%
CI, −74.2 to −65.9) pp from 2015 to 2016 (P < .001). During the same period,
relative to other Ohio Humana MA enrollees, inpatient rehabilitation facility
admissions among Ohio public retirees increased by 9.7 (95% CI, 4.7 to 14.7;
P < .001) pp and the percentage of Ohio public retirees receiving only HH or SNF
fell by 8.6 (95% CI, −14.6 to −2.6; P = .006) pp; this was nominally driven by
reductions in SNF rather than only HH use; however, the estimates were
statistically insignificant. There was no change in the overall probability of
using PAC. We found similar relative changes in PAC use comparing Ohio public
retirees to Kentucky public retirees, although there was a nominally larger, but
statistically insignificant, reduction in receiving no PAC, and the reduction in
use of SNF or HH without IRF was also statistically insignificant.

We assessed 2 measures of readmissions: the first included readmissions
identified in MedPAR occurring in short-term acute care hospitals that are
required to submit information-only claims to Medicare for MA enrollees. The
second included all acute care and critical access hospital readmissions
identified in MedPAR as well as hospital readmissions identified in HEDIS data
(for MA enrollees). Despite the increased intensity of PAC use after Ohio public
retirees switched from MA to TM, we found no relative change in hospital
readmissions across readmission measures and comparison groups.

In the 30 days after hospital discharge, the Medicare beneficiaries in the
sample were in 1 of 4 mutually exclusive and exhaustive states: (1) in the
community, (2) readmitted to hospital, (3) in a PAC facility or nursing home, or
(4) deceased. We investigated the number of days-stay in each state for Ohio
public retirees and the 2 comparison groups. We found statistically significant
reductions in the number of days that Ohio public retirees resided in the
community during the first 30 days after hospital discharge (−1.6 [95% CI, −2.9
to −0.3] and −2.5 [95% CI, −4.9 to −0.1]) days for comparison groups 1 and 2,
respectively. The reduction in community days was nominally driven by increased
days in PAC, but this was only significant when comparing Ohio public retirees
with Kentucky public retirees (3.1; 95% CI, 0.9 to 5.3; P = .007) days. We also
found no significant change in mortality after Ohio public retirees switched to
TM.

Our analysis used an intent-to-treat design, and not all Ohio public retirees
switched to TM in 2016 (approximately 25% of hospitalized patients in our sample
remained in MA). These 2 groups were similar in terms of demographic and
clinical composition, implying the broader generalizability of the estimates
across Ohio public retirees (eResults in Supplement 1). Changes in PAC use were
driven entirely by the Ohio public retirees switching to TM (eResults in
Supplement 1), ruling out that effects were driven by changes in plan design
among public retirees electing to continue coverage with MA. We found nominally
larger estimated effects on PAC use for patients with stroke rather than
fractures patients, but the differences in the effects were statistically
insignificant (eResults in Supplement 1). We found a similar pattern of results
for metropolitan compared with nonmetropolitan counties, although there was
nominal (but statistically insignificant) increase in receiving no PAC for
nonmetropolitan counties (eResults in Supplement 1).

Discussion

When Ohio shifted public retiree health benefits from a mandatory MA plan in
2015 to subsidies for either a MA plan or supplemental coverage for TM, most
retirees switched to TM. This natural experiment provided a unique opportunity
to identify the association of MA with PAC use and outcomes for Medicare
beneficiaries. We found that, under TM, Ohio public retirees were more likely to
be discharged to a more intensive and expensive IRF and less likely to receive
only SNF or HH. However, despite receiving more intensive PAC under TM, hospital
readmissions and 30-day mortality for Ohio public retirees were unchanged.
Because of the direct mechanical association with more days spent in PAC
facilities, days in the community during the 30 days postdischarge were reduced
under TM.

The finding that Ohio public retirees were more likely to be discharged to an
IRF under TM is consistent with the findings of prior cross-sectional studies
comparing MA with TM, which found lower use of PAC overall in MA,7,8,22 shorter
stays in SNFs with fewer therapy minutes,23 lower use of postacute HH,7,24 lower
use of IRF,7,8 and evidence of substitution of SNF for IRF care after stroke and
joint replacement hospitalizations.7,8

A key contribution of our research is showing that MA vs TM differences in IRF
use reflect different approaches to providing PAC rather than patient-level
selection into MA. However, an important unanswered question raised by this and
previous studies is whether the reduced use of IRFs in MA results from
case-by-case “active management” that tries to match each patient to the most
appropriate type of PAC or from general restrictions—eg, through the exclusion
of IRFs from plans’ networks—that can only be overcome with extensive effort,
persistence, and clinical justification. Notably, the available benefits
documentation for the sponsored MA plan in our study did not mention IRF
services.

Barnett et al25 previously noted that TM payment reforms, such as Accountable
Care Organizations and bundled payment and MA plans generate savings by reducing
the use of PAC, which may have adverse effects on patients and caregivers.
Moreover, the concern with the lower use of IRF in MA is that beneficiaries who
would benefit from the more intensive rehabilitation services may not be allowed
access to these services. We found that when compared with MA, TM did not affect
hospital readmissions or 30-day mortality for Ohio public retirees. However,
long-term improvement in functioning, the main goal of rehabilitation, may occur
even without changes in short-term outcomes such as hospital readmission and
30-day mortality.

As noted earlier, prior studies of TM beneficiaries3,4 found that patients with
hip fracture or stroke were more likely to be alive and residing in the
community at 120 days after hospital discharge when they received rehabilitation
care in IRFs compared with SNFs, and that patients admitted to IRFs had better
mobility and ability to perform self-care activities than patients in SNFs.
Other recent research using the US National Health and Aging Trends Study22
found that MA enrollees had less functional improvement during postacute care
use. More causal evidence is needed on the effects of MA compared with those of
TM for a broader set of functional outcomes over a longer study period.

Limitations

This analysis had limitations. First, hospital readmissions and community
residence at 30 days after discharge do not fully capture postdischarge
functional status. Future work should consider the longer-term effects of
less-intensive PAC on beneficiaries’ functional status and on the well-being of
caregivers. Second, a key unanswered question for future research is the
mechanisms by which MA plans change PAC use, eg, whether this is done using
prior authorization, more active discharge planning, or as previously suggested,
narrower facility and clinician networks that largely exclude IRFs. Third, we
selected conditions for which intensive rehabilitation is less discretionary
after a hospitalization; the association of MA with PAC use may differ for other
conditions requiring less rehabilitation.

Conclusions

This cohort study found that after a change in retiree health benefit policy,
most Ohio public retirees shifted from MA to TM and received more intensive PAC
with no significant change in the measured short-term postdischarge outcomes.
Future work should consider measures of postacute functional status over a
longer follow-up period.

Back to top
Article Information

Accepted for Publication: December 13, 2023.

Published: February 16, 2024. doi:10.1001/jamahealthforum.2023.5325

Open Access: This is an open access article distributed under the terms of the
CC-BY License. © 2024 Huckfeldt PJ et al. JAMA Health Forum.

Corresponding Author: Peter J. Huckfeldt, PhD, Division of Health Policy and
Management, University of Minnesota School of Public Health, 420 Delaware St SE,
MMC 729, Minneapolis, MN 55455 (huckfeld@umn.edu).

Author Contributions: Dr Huckfeldt had full access to all the data in the study
and takes responsibility for the integrity of the data and the accuracy of the
data analysis.

Concept and design: Huckfeldt, Shier, Escarce, Sood.

Acquisition, analysis, or interpretation of data: Huckfeldt, Shier, Rabideau,
Boese, Parsons, Sood.

Drafting of the manuscript: Huckfeldt, Escarce.

Critical review of the manuscript for important intellectual content: All
authors.

Statistical analysis: Huckfeldt, Shier, Boese.

Obtained funding: Huckfeldt, Sood.

Administrative, technical, or material support: Huckfeldt, Shier, Rabideau,
Boese.

Supervision: Huckfeldt, Escarce, Parsons, Sood.

Conflict of Interest Disclosures: Dr Huckfeldt reported grants from the National
Institute on Aging and the National Institute of Diabetes and Digestive and
Kidney Diseases of the US National Institutes of Health, the Agency for
Healthcare Research and Quality, and the Robert Wood Johnson Foundation, and
contract funding from the US Centers for Medicare & Medicaid Services. Dr Boese
reported funding from the US Centers for Medicare & Medicaid Services through
NORC at the University of Chicago for evaluating the Next Generation Accountable
Care Organization model and a grant from The Donaghue Foundation outside the
submitted work. Dr Rabideau reports receiving funding through a training grant
from the US National Institute of Mental Health outside the submitted work.Dr
Sood reported being a visiting scholar at Amazon.com. No other disclosures were
reported.

Funding/Support: This research was supported by the US National Institute on
Aging (grant Nos. R01AG071731, R01AG079216, and R01AG046838).

Role of the Funder/Sponsor: The funders had no role in the design and conduct of
the study; collection, management, analysis, and interpretation of the data;
preparation, review, or approval of the manuscript; and decision to submit the
manuscript for publication.

Data Sharing Statement: See Supplement 2.

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