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Do Health Care Report Cards Cause Providers to Select Patients and Raise Quality of Care?

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  • Yijuan Chen
  • Juergen Meinecke

Abstract

We exploit a brief period of asymmetric information during the implementation of Pennsylvania’s “report card” scheme for coronary artery bypass graft surgery to test for improvements in quality of care and selection of patients by health care providers. During the ?rst three years of the 1990s, providers in Pennsylvania had an incentive to bias report cards by selecting patients strategically, with patients having no access to the report cards. This dichotomy enables us to separate providers’ selection of patients from patients’ selection of providers. Using data from the Nationwide Inpatient Sample, we estimate a non–linear difference–in– differences model and derive asymptotic standard errors. The mortality rate for bypass patients decreases by only 0.05 percentage points due to the report cards, which we interpret as evidence that quality of bypass surgery did not improve (at least in the short–term) nor did patient selection by providers occur. Our timing, estimation, and asymptotics are readily applicable to many other report card schemes.

Suggested Citation

  • Yijuan Chen & Juergen Meinecke, 2012. "Do Health Care Report Cards Cause Providers to Select Patients and Raise Quality of Care?," CEPR Discussion Papers 657, Centre for Economic Policy Research, Research School of Economics, Australian National University.
  • Handle: RePEc:auu:dpaper:657
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    File URL: https://www.cbe.anu.edu.au/researchpapers/CEPR/DP657.pdf
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    References listed on IDEAS

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    1. David Dranove & Daniel Kessler & Mark McClellan & Mark Satterthwaite, 2003. "Is More Information Better? The Effects of "Report Cards" on Health Care Providers," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 555-588, June.
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    5. Chen, Yijuan, 2011. "Why are health care report cards so bad (good)?," Journal of Health Economics, Elsevier, vol. 30(3), pages 575-590, May.
    6. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
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    11. Gravelle, Hugh & Sivey, Peter, 2010. "Imperfect information in a quality-competitive hospital market," Journal of Health Economics, Elsevier, vol. 29(4), pages 524-535, July.
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    Cited by:

    1. Chou, Shin-Yi & Deily, Mary E. & Li, Suhui & Lu, Yi, 2014. "Competition and the impact of online hospital report cards," Journal of Health Economics, Elsevier, vol. 34(C), pages 42-58.
    2. Xiaoxue Li, 2020. "Quality information disclosure and health insurance demand: evidence from VA hospital report cards," International Journal of Health Economics and Management, Springer, vol. 20(2), pages 177-199, June.
    3. Chen, Yijuan & Sivey, Peter, 2021. "Hospital report cards: Quality competition and patient selection," Journal of Health Economics, Elsevier, vol. 78(C).
    4. Yang, Ou & Chan, Marc K. & Cheng, Terence C. & Yong, Jongsay, 2020. "Cream skimming: Theory and evidence from hospital transfers and capacity utilization," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 68-87.

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    More about this item

    Keywords

    health care report cards; provider moral hazard; quality improvement; difference–in–differences estimation;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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