Pharmacoepidemiol Risk Manage.  2023 Mar;15(1):23-31. 10.56142/perm.23.0006.

Predictive Factors for Unplanned Readmission: An Umbrella Review

Affiliations
  • 1College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Korea
  • 2Department of Pharmacy, Seoul National University Hospital, Seoul, Korea
  • 3Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam, Korea

Abstract

Unplanned hospital readmission could have negative consequences, including financial burdens. Identifying factors that affect readmission risk can help predict those at high risk. This review aimed to identify risk factors for hospital readmission after discharge in adult general population. A systematic search of PubMed, EMBASE and Cochrane Review databases was conducted for review articles on predictive models or risk factors for unplanned readmission up to January 18 2023. Of 965 articles identified, 11 review articles met inclusion criteria. The identified risk factors associated with readmission included demographic and social-determinants of health, healthcare utilization prior to index admission, overall health and function score, illness severity, index admission and discharge diagnosis, co-morbid disease, comorbidity index, medications, and polypharmacy. The identified risk factors for unplanned readmission are useful for developing prediction models or targeting hospitalized patients for preventive interventions to reduce unplanned readmission. (PeRM 2023;15:23-31)

Keyword

Unplanned readmission; Risk factor; Predictive model; Review
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