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Do Report Cards Predict Future Quality? The Case of Skilled Nursing Facilities

Author

Listed:
  • Portia Y. Cornell
  • David C. Grabowski
  • Edward C. Norton
  • Momotazur Rahman

Abstract

Report cards on provider performance are intended to improve consumer decision-making and address information gaps in the market for quality. However, inadequate risk adjustment of report-card measures often biases comparisons across providers. We test whether going to a skilled nursing facility (SNF) with a higher star rating affects outcomes for a patient. We exploit variation over time in the distance from a patient’s residential ZIP code to SNFs with different ratings to estimate the causal effect of admission to a higher-rated SNF on health care outcomes, including mortality. We found that patients who go to higher-rated SNFs experience lower mortality, fewer days in the nursing home, and fewer hospital readmissions.

Suggested Citation

  • Portia Y. Cornell & David C. Grabowski & Edward C. Norton & Momotazur Rahman, 2019. "Do Report Cards Predict Future Quality? The Case of Skilled Nursing Facilities," NBER Working Papers 25940, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25940
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    6. Edward C. Norton & Emily J. Lawton & Jun Li, 2023. "Moneyball in Medicare," American Journal of Health Economics, University of Chicago Press, vol. 9(1), pages 96-126.
    7. Gowrisankaran, Gautam & Town, Robert J., 1999. "Estimating the quality of care in hospitals using instrumental variables," Journal of Health Economics, Elsevier, vol. 18(6), pages 747-767, December.
    8. Grabowski, David C. & Feng, Zhanlian & Hirth, Richard & Rahman, Momotazur & Mor, Vincent, 2013. "Effect of nursing home ownership on the quality of post-acute care: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 32(1), pages 12-21.
    9. Werner, Rachel M. & Norton, Edward C. & Konetzka, R. Tamara & Polsky, Daniel, 2012. "Do consumers respond to publicly reported quality information? Evidence from nursing homes," Journal of Health Economics, Elsevier, vol. 31(1), pages 50-61.
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    11. Richard Hirth & David Grabowski & Zhanlian Feng & Momotazur Rahman & Vincent Mor, 2014. "Effect of nursing home ownership on hospitalization of long-stay residents: an instrumental variables approach," International Journal of Health Economics and Management, Springer, vol. 14(1), pages 1-18, March.
    12. Rahman, Momotazur & Foster, Andrew D., 2015. "Racial segregation and quality of care disparity in US nursing homes," Journal of Health Economics, Elsevier, vol. 39(C), pages 1-16.
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    Cited by:

    1. Hendrik Schmitz & Magdalena A. Stroka‐Wetsch, 2020. "Determinants of nursing home choice: Does reported quality matter?," Health Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 766-777, July.
    2. Anell, Anders & Dietrichson, Jens & Ellegård, Lina Maria & Kjellsson, Gustav, 2022. "Well-Informed Choices? Effects of Information Interventions in Primary Care on Care Quality," Working Papers 2022:2, Lund University, Department of Economics.
    3. Cronin, Christopher J. & Evans, William N., 2022. "Nursing home quality, COVID-19 deaths, and excess mortality," Journal of Health Economics, Elsevier, vol. 82(C).
    4. Bär, Marlies & Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy, 2022. "Estimating the health value added by nursing homes," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 1-23.
    5. Bar, M.; & Bakx, P.; & Wouterse, B.; & van Doorslaer, Eddy.;, 2022. "Estimating the health value added by nursing homes," Health, Econometrics and Data Group (HEDG) Working Papers 22/12, HEDG, c/o Department of Economics, University of York.
    6. Bensnes, Simon & Huitfeldt, Ingrid, 2021. "Rumor has it: How do patients respond to patient-generated physician ratings?," Journal of Health Economics, Elsevier, vol. 76(C).
    7. Liran Einav & Amy Finkelstein & Neale Mahoney, 2022. "Producing Health: Measuring Value Added of Nursing Homes," NBER Working Papers 30228, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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