{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T02:15:13Z","timestamp":1791684913691,"version":"4.3.4"},"reference-count":38,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T00:00:00Z","timestamp":1674777600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["K23AG056638"],"award-info":[{"award-number":["K23AG056638"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["agsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Disparities in readmission risk and reasons they might exist among diverse complex patients with multimorbidity, disability, and unmet social needs have not been clearly established. These characteristics may be underestimated in claims\u2010based studies where individual\u2010level data are limited. We sought to examine the risk of readmissions and postdischarge mortality by race and ethnicity after rigorous adjustment for multimorbidity, physical functioning, and sociodemographic and lifestyle characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used Health and Retirement Study (HRS) data linked to Medicare claims. To obtain ICD\u20109\u2010CM diagnostic codes to compute the ICD\u2010coded multimorbidity\u2010weighted index (MWI\u2010ICD) we used Medicare Parts A and B (inpatient, outpatient, carrier) files between 1991\u20132015. Participants must have had at least one hospitalization between January 1, 2000 and September 30, 2015 and continuous enrollment in fee\u2010for\u2010service Medicare Part A 1\u2010year prior to hospitalization. We used multivariable logistic regression to assess the association of MWI\u2010ICD with 30\u2010day readmissions and mortality 1\u2010year postdischarge. Using HRS data, we adjusted for age, sex, BMI, smoking, physical activity, education, household net worth, and living arrangement\/marital status, and examined for effect modification by race and ethnicity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The final sample of 10,737 participants had mean\u2009\u00b1\u2009SD age 75.9\u2009\u00b1\u20098.7\u2009years. Hispanic adults had the highest mean MWI\u2010ICD (16.4\u2009\u00b1\u200910.1), followed by similar values for White (mean 14.8\u2009\u00b1\u20098.9) and Black (14.7\u2009\u00b1\u20098.9) adults. MWI\u2010ICD was associated with a higher odds of readmission, and there was no significant effect modification by race and ethnicity. For postdischarge mortality, a 1\u2010point increase MWI\u2010ICD was associated with a 3% higher odds of mortality (OR\u00a0=\u00a01.03, 95% CI: 1.03\u20131.04), which did not significantly differ by race and ethnicity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Multimorbidity was associated with a monotonic increased odds of 30\u2010day readmission and 1\u2010year postdischarge mortality across all race and ethnicity groups. There was no significant difference in readmission or mortality risk by race and ethnicity after robust adjustment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.18251","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T08:30:49Z","timestamp":1674808249000},"page":"1749-1758","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Readmissions and postdischarge mortality by race and ethnicity among Medicare beneficiaries with multimorbidity"],"prefix":"10.1111","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5093-6040","authenticated-orcid":false,"given":"Melissa Y.","family":"Wei","sequence":"first","affiliation":[{"name":"Division of General Internal Medicine and Health Services Research, Department of Internal Medicine, David Geffen School of Medicine University of California, Los Angeles  Los Angeles California USA"},{"name":"Center for the Study of Healthcare Innovation, Implementation and Policy VA Greater Los Angeles Healthcare System  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinmyoung","family":"Cho","sequence":"additional","affiliation":[{"name":"Texas A&amp;M School of Public Health  College Station Texas USA"},{"name":"Baylor Scott &amp; White Health  Temple Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2014.7756"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889\u2010021\u201011987\u2010z"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.123"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.2147\/IJGM.S150676"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000000326"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005650-199801000-00004"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9681(87)90171-8"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(92)90133-8"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygyno.2022.07.014"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.06475"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/QMH.0000000000000108"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2003.10.033"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/geronb\/gbz068"},{"key":"e_1_2_11_15_1","unstructured":"Centers for Medicare & Medicaid Services.Guide to Reducing Disparities in Readmissions;2018."},{"key":"e_1_2_11_16_1","volume-title":"SF\u201036 Health Survey: Manual and Interpretation Guide","author":"Ware JE","year":"1997"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwv456"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glx114"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.16310"},{"key":"e_1_2_11_20_1","unstructured":"Chronic Conditions Data Warehouse.Centers for Medicare & Medicaid Services. 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