{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T16:37:22Z","timestamp":1790786242080,"version":"4.1.0"},"reference-count":31,"publisher":"American Medical Association (AMA)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Intern Med"],"published-print":{"date-parts":[[2023,8,1]]},"abstract":"<jats:sec id=\"ab-ioi230033-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>The role of patient-level factors that are unrelated to the specific clinical condition leading to an emergency department (ED) visit, such as functional status, cognitive status, social supports, and geriatric syndromes, in admission decisions is not well understood, partly because these data are not available in administrative databases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-ioi230033-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To determine the extent to which patient-level factors are associated with rates of hospital admission from the ED.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-ioi230033-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This cohort study analyzed survey data collected from participants (or their proxies, such as family members) enrolled in the Health and Retirement Study (HRS) from January 1, 2000, to December 31, 2018. These HRS data were linked to Medicare fee-for-service claims data from January 1, 1999, to December 31, 2018. Information on functional status, cognitive status, social supports, and geriatric syndromes was obtained from the HRS data, whereas ED visits, subsequent hospital admission or ED discharge, and other claims-derived comorbidities and sociodemographic characteristics were obtained from Medicare data. Data were analyzed from September 2021 to April 2023.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-ioi230033-7\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>The primary outcome measure was hospital admission after an ED visit. A baseline logistic regression model was estimated, with a binary indicator of admission as the dependent variable of interest. For each primary variable of interest derived from the HRS data, the model was reestimated, including the HRS variable of interest as an independent variable. For each of these models, the odds ratio (OR) and average marginal effect (AME) of changing the value of the variable of interest were calculated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-ioi230033-8\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 42\u202f392 ED visits by 11\u202f783 unique patients were included. At the time of the ED visit, patients had a mean (SD) age of 77.4 (9.6) years, and visits were predominantly for female (25 719 visits [60.7%]) and White (32 148 visits [75.8%]) individuals. The overall percentage of patients admitted was 42.5%. After controlling for ED diagnosis and demographic characteristics, functional status, cognition status, and social supports all were associated with the likelihood of admission. For instance, difficulty performing 5 activities of daily living was associated with an 8.5\u2013percentage point (OR, 1.47; 95% CI, 1.29-1.66) AME increase in the likelihood of admission. Having dementia was associated with an AME increase in the likelihood of admission of 4.6 percentage points (OR, 1.23; 95% CI, 1.14-1.33). Living with a spouse was associated with an AME decrease in the likelihood of admission of 3.9 percentage points (OR, 0.84; 95% CI, 0.79-0.89), and having children living within 10 miles was associated with an AME decrease in the likelihood of admission of 5.0 percentage points (OR, 0.80; 95% CI, 0.71-0.89). Other common geriatric syndromes, including trouble falling asleep, waking early, trouble with vision, glaucoma or cataract, use of hearing aids or trouble with hearing, falls in past 2 years, incontinence, depression, and polypharmacy, were not meaningfully associated with the likelihood of admission.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-ioi230033-9\">\n                    <jats:title>Conclusion and Relevance<\/jats:title>\n                    <jats:p>Results of this cohort study suggest that the key patient-level characteristics, including social supports, cognitive status, and functional status, were associated with the decision to admit older patients to the hospital from the ED. These factors are critical to consider when devising strategies to reduce low-value admissions among older adult patients from the ED.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamainternmed.2023.2149","type":"journal-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T11:03:12Z","timestamp":1686567792000},"page":"784","source":"Crossref","is-referenced-by-count":31,"title":["Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department"],"prefix":"10.1001","volume":"183","author":[{"given":"Peter B.","family":"Smulowitz","sequence":"first","affiliation":[{"name":"University of Massachusetts Medical School, Worcester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabe","family":"Weinreb","sequence":"additional","affiliation":[{"name":"Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. Michael","family":"McWilliams","sequence":"additional","affiliation":[{"name":"Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. James","family":"O\u2019Malley","sequence":"additional","affiliation":[{"name":"Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce E.","family":"Landon","sequence":"additional","affiliation":[{"name":"Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","reference":[{"issue":"2","key":"ioi230033r1","first-page":"3","article-title":"The evolving role of emergency departments in the United States.","volume":"3","author":"Morganti","year":"2013","journal-title":"Rand Health Q"},{"issue":"11","key":"ioi230033r3","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1001\/jamainternmed.2015.4660","article-title":"Patient characteristics and differences in hospital readmission 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