Hospital readmissions
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Overview
Epidemiology
Among Medicare patients in the United States receiving care in a fee-for-service setting during 2003-2004, 19.6% were rehospitalized within 30 days.[1]
Causes
In a study of Medicare patients in the United States, most of the variation in rates of readmission are due to characteristics of patients.[2] A much smaller degree of variation is due to characteristics of hospitals or health care providers.[2]
Costs
Prediction
A number of methods have been developed to predict which patients will be readmitted.[3]
Two or more hospitalizations within a year is simple predictor of readmission.[4] A study of adult patients in the University of Pennsylvania Health System found that ≥ 2 inpatient admissions in the past 12 months had a sensitivity and specificity of 39% and 84%, respectively, for predicting readmission. In populations similar to those in this study which had a prevalence of hospital readmission of 15%, the probabilities of hospital readmission among patients with and without ≥ 2 inpatient admissions in the past 12 months were 30.0% and 11.0%, respectively.[4] Click here to estimate predictive values in populations with different rates of readmission.
Prevention
References
- ↑ Jencks SF, Williams MV, Coleman EA (2009). "Rehospitalizations among patients in the Medicare fee-for-service program". N Engl J Med. 360 (14): 1418–28. doi:10.1056/NEJMsa0803563. PMID 19339721.
- ↑ 2.0 2.1 Singh S, Lin YL, Kuo YF, Nattinger AB, Goodwin JS (2014). "Variation in the risk of readmission among hospitals: the relative contribution of patient, hospital and inpatient provider characteristics". J Gen Intern Med. 29 (4): 572–8. doi:10.1007/s11606-013-2723-7. PMC 3965757. PMID 24307260.
- ↑ Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M; et al. (2011). "Risk prediction models for hospital readmission: a systematic review". JAMA. 306 (15): 1688–98. doi:10.1001/jama.2011.1515. PMC 3603349. PMID 22009101.
- ↑ 4.0 4.1 Baillie CA, VanZandbergen C, Tait G, Hanish A, Leas B, French B; et al. (2013). "The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission". J Hosp Med. 8 (12): 689–95. doi:10.1002/jhm.2106. PMID 24227707.