Quantifying geographic variation in health care outcomes in the United States before and after risk-adjustment

Barry L. Rosenberg, Joshua A. Kellar, Anna Labno, David H M Matheson, Michael Ringel, Paige Von Achen, Richard I. Lesser, Yue Li, Justin B. Dimick, Atul A. Gawande, Stefan H. Larsson, Hamilton Moses

Research output: Contribution to journalArticle

Abstract

Background Despite numerous studies of geographic variation in healthcare cost and utilization at the local, regional, and state levels across the U.S., a comprehensive characterization of geographic variation in outcomes has not been published. Our objective was to quantify variation in US health outcomes in an all-payer population before and after risk-adjustment. Methods and Findings We used information from 16 independent data sources, including 22 million all-payer inpatient admissions from the Healthcare Cost and Utilization Project (which covers regions where 50% of the U.S. population lives) to analyze 24 inpatient mortality, inpatient safety, and prevention outcomes. We compared outcome variation at state, hospital referral region, hospital service area, county, and hospital levels. Risk-adjusted outcomes were calculated after adjusting for population factors, co-morbidities, and health system factors. Even after risk-adjustment, there exists large geographical variation in outcomes. The variation in healthcare outcomes exceeds the well publicized variation in US healthcare costs. On average, we observed a 2.1-fold difference in risk-adjusted mortality outcomes between top-and bottom-decile hospitals. For example, we observed a 2.3-fold difference for risk-adjusted acute myocardial infarction inpatient mortality. On average a 10.2-fold difference in riskadjusted patient safety outcomes exists between top and bottom-decile hospitals, including an 18.3-fold difference for risk-adjusted Central Venous Catheter Bloodstream Infection rates. A 3.0-fold difference in prevention outcomes exists between top-and bottom-decile counties on average; including a 2.2-fold difference for risk-adjusted congestive heart failure Conclusion The amount of variability in health outcomes in the U.S. is large even after accounting for differences in population, co-morbidities, and health system factors. These findings suggest that: 1) additional examination of regional and local variation in risk-adjusted outcomes should be a priority; 2) assumptions of uniform hospital quality that underpin rationale for policy choices (such as narrow insurance networks or antitrust enforcement) should be challenged; and 3) there exists substantial opportunity for outcomes improvement in the US healthcare system.

Original languageEnglish (US)
Article numbere0166762
JournalPLoS One
Volume11
Issue number12
DOIs
StatePublished - Dec 1 2016

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

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    Rosenberg, B. L., Kellar, J. A., Labno, A., Matheson, D. H. M., Ringel, M., Von Achen, P., Lesser, R. I., Li, Y., Dimick, J. B., Gawande, A. A., Larsson, S. H., & Moses, H. (2016). Quantifying geographic variation in health care outcomes in the United States before and after risk-adjustment. PLoS One, 11(12), [e0166762]. https://doi.org/10.1371/journal.pone.0166762