{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T18:35:31Z","timestamp":1783794931945,"version":"3.55.0"},"reference-count":23,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"21","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,11,5]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Medicare has a voluntary episodic payment model for Medicare beneficiaries that bundles payment for the index acute myocardial infarction (\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              ) hospitalization and all post\u2010discharge services for a 90\u2010day follow\u2010up period. The purpose of this study is to report on the types and frequency of readmissions and identify demographic and clinical factors associated with readmission of Medicare beneficiaries that survived their\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              hospitalization.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              This retrospective study used the Inpatient Standard Analytical File for 2014. There were 143\u00a0286 Medicare beneficiaries with\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              who were discharged alive from 3619 hospitals. All readmissions occurring in any hospital within 90\u00a0days of the index\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              discharge date were identified. Of 143\u00a0286 Medicare beneficiaries discharged alive from their index\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              hospitalization, 28% (40\u00a0145) experienced at least 1 readmission within 90\u00a0days and 8% (11\u00a0477) had &gt;1 readmission. Readmission rates were higher among Medicare beneficiaries who did not undergo a percutaneous coronary intervention in their index\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              admission (34%) compared with those that underwent a percutaneous coronary intervention (20.2%). Using all Medicare beneficiary's index\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              , 27 comorbid conditions were significantly associated with the likelihood of a Medicare beneficiary having a readmission during the follow\u2010up period. The strongest clinical characteristics associated with readmissions were dialysis dependence, type 1 diabetes mellitus, and heart failure.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              This study provides benchmark information on the types of hospital readmissions Medicare beneficiaries experience during a 90\u2010day\n              <jats:styled-content style=\"fixed-case\">AMI<\/jats:styled-content>\n              bundle. This paper also suggests that interventions are needed to alleviate the need for readmissions in high\u2010risk populations, such as, those managed medically and those at risk of heart failure.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.119.013513","type":"journal-article","created":{"date-parts":[[2019,10,30]],"date-time":"2019-10-30T09:12:06Z","timestamp":1572426726000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["Understanding Readmissions in Medicare Beneficiaries During the 90\u2010Day Follow\u2010Up Period of an Acute Myocardial Infarction Admission"],"prefix":"10.1161","volume":"8","author":[{"given":"Steven D.","family":"Culler","sequence":"first","affiliation":[{"name":"Rollins School of Public Health Emory University Atlanta GA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron D.","family":"Kugelmass","sequence":"additional","affiliation":[{"name":"Baystate Health Springfield MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J.","family":"Cohen","sequence":"additional","affiliation":[{"name":"Saint Luke's Mid America Heart Institute Kansas City MO"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew R.","family":"Reynolds","sequence":"additional","affiliation":[{"name":"Baim Institute for Clinical Research Boston MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc R.","family":"Katz","sequence":"additional","affiliation":[{"name":"Medical University of South Carolina Charleston SC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phillip P.","family":"Brown","sequence":"additional","affiliation":[{"name":"HealthTrust Purchasing Group LLP Nashville TN"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael L.","family":"Schlosser","sequence":"additional","affiliation":[{"name":"HealthTrust Purchasing Group LLP Nashville TN"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"April W.","family":"Simon","sequence":"additional","affiliation":[{"name":"AWS Research, LLC Indianapolis IN"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","unstructured":"Center for Medicare and Medicaid Services . BPCI advanced. Updated on 09\/16\/2019. Available at: https:\/\/innovation.cms.gov\/initiatives\/bpci-advanced. 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