Urgent readmission rates can be used to infer differences in avoidable readmission rates between hospitals

Journal of Clinical Epidemiology

Volumn 65, Issue 10, 2012, Pages 1124-1130

  Van Walraven, Carl ^a,b   Austin, Peter C ^b   Forster, Alan J ^a,b  

^a OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^b INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

Author keywords

Administrative data; Avoidable readmissions; Hospital readmissions; Monte carlo modeling; Quality of care indicators; Surrogate outcomes

Indexed keywords

ARTICLE; CANADA; EMERGENCY CARE; HEALTH CARE QUALITY; HOSPITAL CARE; HOSPITAL DISCHARGE; HOSPITAL READMISSION; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; PROBABILITY SAMPLE;

BENCHMARKING; EMERGENCIES; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; ONTARIO; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT READMISSION; QUALITY INDICATORS, HEALTH CARE;

EID: 84865221669     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2012.04.001     Document Type: Article

References (14)

1. Office of the Auditor General of Ontario 2010 Annual report - discharge of hospital patients 2010 Government of Ontario Toronto, ON Ref type: Report. 64-93
2. Centers for Medicare & Medicaid Services Hospital compare 2010 Centers for Medicare & Medicaid Services Available at: http://www. hospitalcompare.hhs.gov/ Accessed March 1, 2012
3. Canadian Institutes of Health Information & Statistics Health indicators 2011 2011 Canadian Institutes of Health Information Ottawa, Ontario, Canada
4. US Department of Health & Human Services Hospital outcome of care measures 2009 US Department of Health & Human Services Available at: https://data.medicare.gov/datset/Hospital-Outcome-Of-Care-Measures/f24z-mvb9 Accessed March 1, 2012
5. Canadian Institute for Health Information Hospital report - acute care 2007 2007 Canadian Institute for Health Information Ottawa, ON Ref type: Report. 1-66
6. Liz Kowalczyk. State to penalize hospitals that readmit too many patients. The Boston Globe. September 22, 2011.
7. C. van Walraven, C. Bennett, A. Jennings, P.C. Austin, and A.J. Forster Proportion of hospital readmissions deemed avoidable: a systematic review CMAJ 183 7 2011 E391 E402
8. C. van Walraven, A. Jennings, and A.J. Forster A meta-analysis of hospital 30-day avoidable readmission rates J Eval Clin Pract 2011 Epub ahead of print
9. C.M. Ashton, and N.P. Wray A conceptual framework for the study of early readmission as an indicator of quality of care [Review] [39 refs] Soc Sci Med 43 1996 1533 1541 (Pubitemid 26397728)
10. The Information Centre for Health and Social Care P00902 National Health Service Hospital Episode Statistics: emergency readmissions to hospital within 28 days of discharge 2011 National Health Service Available at: http://www.ic.nhs.uk/pubs/hesemergency0910 Accessed March 1, 2012
11. US Department of Health and Human Services. Hospital compare; 2012. Generic US Department of Health and Human Services. Available at: http://www.hospitalcompare.hhs.gov/. Accessed March 1, 2012.
12. Statistics Canada, Canadian Institute for Health Information Health indicators 2011 2011 Statistics Canada, Canadian Institute for Health Information Ottawa, Ontario, Canada
13. Australian Institute of Health and Welfare. Hospital performance: readmissions following surgery; 2012. Australian Institute of Health and Welfare. Available at: http://www.aihw.gov.au/hospital-performance-surgery- readmissions/. Accessed March 1, 2012.
14. D. Kansagara, H. Englander, A. Salanitro, D. Kagen, C. Theobald, and M. Freeman Risk prediction models for hospital readmission JAMA 306 2011 1688 1698