{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:51:26Z","timestamp":1755219086527,"version":"3.43.0"},"reference-count":31,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"6","license":[{"start":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T00:00:00Z","timestamp":1712707200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/ http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:sec>\n            <jats:title>Objective:<\/jats:title>\n            <jats:p>Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Data Source:<\/jats:title>\n            <jats:p>Medicare Fee-for-Service Data, 2018.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Study Design:<\/jats:title>\n            <jats:p>We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical\/demographic characteristics and hospital-level characteristics.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Data Extraction Methods:<\/jats:title>\n            <jats:p>We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Principal Findings:<\/jats:title>\n            <jats:p>In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: \u22127333.73, 2674.62) and \u2212$3905.20 (95% CI: \u22127592.85, \u2212307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions:<\/jats:title>\n            <jats:p>There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1097\/mlr.0000000000002003","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T21:59:24Z","timestamp":1715378364000},"page":"423-430","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?"],"prefix":"10.1097","volume":"62","author":[{"given":"Sara D.","family":"Turbow","sequence":"first","affiliation":[{"name":"Department of Medicine, Division of General Internal Medicine, Emory University School of Medicine, Atlanta, GA"},{"name":"Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Puneet K.","family":"Chehal","sequence":"additional","affiliation":[{"name":"Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven D.","family":"Culler","sequence":"additional","affiliation":[{"name":"Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camille P.","family":"Vaughan","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Geriatrics & Gerontology, Emory University School of Medicine, Atlanta, GA"},{"name":"Department of Veterans Affairs, Birmingham\/Atlanta Geriatric Research Education and Clinical Center, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christina","family":"Offutt","sequence":"additional","affiliation":[{"name":"Department of Medicine, Emory University School of Medicine, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kimberly J.","family":"Rask","sequence":"additional","affiliation":[{"name":"Alliant Health Group, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Molly M.","family":"Perkins","sequence":"additional","affiliation":[{"name":"Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, 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