{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T14:53:58Z","timestamp":1793717638387,"version":"4.6.1"},"reference-count":62,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T00:00:00Z","timestamp":1640649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["19CDA34760135"],"award-info":[{"award-number":["19CDA34760135"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Health\/National Heart Lung and Blood Institute","award":["K01HL146900"],"award-info":[{"award-number":["K01HL146900"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["NIGMS 2U54GM104942-02"],"award-info":[{"award-number":["NIGMS 2U54GM104942-02"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Readmissions constitute a major health care burden among peripheral artery disease (PAD) patients. This study aimed to 1) estimate the zip code tabulation area (ZCTA)-level prevalence of readmission among PAD patients and characterize the effect of covariates on readmissions; and (2) identify hotspots of PAD based on estimated prevalence of readmission. Thirty-day readmissions among PAD patients were identified from the South Carolina Revenue and Fiscal Affairs Office All Payers Database (2010\u20132018). Bayesian spatial hierarchical modeling was conducted to identify areas of high risk, while controlling for confounders. We mapped the estimated readmission rates and identified hotspots using local Getis Ord (G*) statistics. Of the 232,731 individuals admitted to a hospital or outpatient surgery facility with PAD diagnosis, 30,366 (13.1%) experienced an unplanned readmission to a hospital within 30 days. Fitted readmission rates ranged from 35.3 per 1000 patients to 370.7 per 1000 patients and the risk of having a readmission was significantly associated with the percentage of patients who are 65 and older (0.992, 95%CI: 0.985\u20130.999), have Medicare insurance (1.013, 1.005\u20131.020), and have hypertension (1.014, 1.005\u20131.023). Geographic analysis found significant variation in readmission rates across the state and identified priority areas for targeted interventions to reduce readmissions.<\/jats:p>","DOI":"10.3390\/ijerph19010285","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T06:55:03Z","timestamp":1640674503000},"page":"285","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Geographic Disparities in Readmissions for Peripheral Artery Disease in South Carolina"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3800-8695","authenticated-orcid":false,"given":"Brian","family":"Witrick","sequence":"first","affiliation":[{"name":"Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Corey A.","family":"Kalbaugh","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA"},{"name":"Department of Bioengineering, Clemson University, Clemson, SC 29631, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel","family":"Mayo","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Hendricks","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, Morgantown, WV 26505, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,28]]},"reference":[{"key":"ref_1","first-page":"727","article-title":"Health care resources and costs for treating peripheral artery disease in a managed care population: Results from analysis of administrative claims data","volume":"11","author":"Margolis","year":"2005","journal-title":"J. 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