Editorials2 December 2014
    Author, Article and Disclosure Information

    Our team at the Center for Outcomes Research and Evaluation at Yale-New Haven Hospital developed readmission measures for the Centers for Medicare & Medicaid Services with the goal of illuminating hospital performance and stimulating efforts to improve patient care. We believed that such efforts could improve patient recovery and reduce the occurrence of adverse health events after discharge. We developed these measures using data from administrative claims and validated them against measures using medical records data (1). National readmission rates within 30 days of hospital discharge were exceedingly high for common diagnoses, such as acute myocardial infarction, heart failure, and ...

    References

    • 1. Keenan PS Normand SL Lin Z Drye EE Bhat KR Ross JS et alAn administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure. Circ Cardiovasc Qual Outcomes2008;1:29-37. [PMID: 20031785] doi:10.1161/CIRCOUTCOMES.108.802686 CrossrefMedlineGoogle Scholar
    • 2. Daughtridge GW Archibald T Conway PH Quality improvement of care transitions and the trend of composite hospital care. JAMA2014;311:1013-4. [PMID: 24618959] doi:10.1001/jama.2014.509 CrossrefMedlineGoogle Scholar
    • 3. Lipstein SH Dunagan WC The risks of not adjusting performance measures for sociodemographic factors. Ann Intern Med2014;161:594-6. [PMID: 25048401] doi:10.7326/M14-1601 LinkGoogle Scholar
    • 4. National Quality Forum. Risk Adjustment for Socioeconomic Status or Other Sociodemographic Factors. Technical Report. 2014. Accessed at www.qualityforum.org/Publications/2014/08/Risk_Adjustment_for_Socioeconomic_Status_or_Other_Sociodemographic_Factors.aspx on 23 October 2014. Google Scholar
    • 5. Kind AJ Jencks S Brock J Yu M Bartels C Ehlenbach W et alNeighborhood socioeconomic disadvantage and 30-day rehospitalization. A restrospective cohort study. Ann Intern Med2014;161:765-74. doi:10.7326/M13-2946 LinkGoogle Scholar
    • 6. Bikdeli B Wayda B Bao H Ross JS Xu X Chaudhry SI et alPlace of residence and outcomes of patients with heart failure: analysis from the telemonitoring to improve heart failure outcomes trial. Circ Cardiovasc Qual Outcomes2014;7:749-56. [PMID: 25074375] doi:10.1161/CIRCOUTCOMES.113.000911 CrossrefMedlineGoogle Scholar
    • 7. Keyhani S Myers LJ Cheng E Hebert P Williams LS Bravata DM Effect of clinical and social risk factors on hospital profiling for stroke readmission.A cohort study. Ann Intern Med2014;161:775-84. doi:10.7326/M14-0361 LinkGoogle Scholar
    • 8. Smedley BD Stith AY Nelson AR Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health CareUnequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: National Academies Pr; 2003. Google Scholar
    • 9. Ross JS Bernheim SM Lin Z Drye EE Chen J Normand SL et alBased on key measures, care quality for Medicare enrollees at safety-net and non-safety-net hospitals was almost equal. Health Aff (Millwood)2012;31:1739-48. [PMID: 22869652] doi:10.1377/hlthaff.2011.1028 CrossrefMedlineGoogle Scholar
    • 10. Medicare Payment Advisory Commission. Report to the Congress: Medicare and the Health Care Delivery System. 2013. Accessed at www.medpac.gov/documents/reports/jun13_entirereport.pdf on 23 October 2014. Google Scholar