{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T00:14:32Z","timestamp":1793664872771,"version":"4.5.1"},"reference-count":23,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","license":[{"start":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T00:00:00Z","timestamp":1513728000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Med Qual"],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p> Hospital-acquired pressure injuries (HAPI) are a societal burden and considered potentially preventable. Data on risk factors and HAPI burden are important for effective prevention initiatives. This study of the 2009-2014 US Premier Healthcare Database identified HAPI risk factors and compared outcomes after matching HAPI to non-HAPI patients. The cumulative incidence of HAPI was 0.28% (47\u2009365 HAPI among 16\u2009967\u2009687 total adult inpatients). Among the matched sample of 110\u2009808 patients (27\u2009702 HAPI), the strongest risk factors for HAPI were prior PI (odds ratio [OR] = 12.52, 95% confidence interval [CI] = 11.93-13.15), prior diabetic foot ulcer (OR = 3.43, 95% CI = 3.20-3.68), and malnutrition (OR = 3.11, 95% CI = 3.02-3.20). HAPI patients had longer adjusted length of stay (3.7 days, P &lt; .0001), higher total hospitalization cost ($8014, P &lt; .0001), and greater odds of readmissions through 180 days (OR = 1.60, 95% CI = 1.55-1.65). This study demonstrates how big data may help quantify HAPI burden and improve internal hospital processes by identifying high-risk patients and informing best practices for prevention. <\/jats:p>","DOI":"10.1177\/1062860617746741","type":"journal-article","created":{"date-parts":[[2017,12,23]],"date-time":"2017-12-23T19:44:16Z","timestamp":1514058256000},"page":"348-358","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":62,"title":["Assessment of Risk Factors Associated With Hospital-Acquired Pressure Injuries and Impact on Health Care Utilization and Cost Outcomes in US Hospitals"],"prefix":"10.1097","volume":"33","author":[{"given":"Jill","family":"Dreyfus","sequence":"first","affiliation":[{"name":"Premier Applied Sciences, Premier, Inc, Charlotte, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie","family":"Gayle","sequence":"additional","affiliation":[{"name":"Premier Applied Sciences, 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