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Adoption and learning across hospitals: The case of a revenue-generating practice

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  • Sacarny, Adam

Abstract

Performance-raising practices tend to diffuse slowly in the health care sector. To understand how incentives drive adoption, I study a practice that generates revenue for hospitals: submitting detailed documentation about patients. After a 2008 reform, hospitals could raise their Medicare revenue over 2% by always specifying a patient's type of heart failure. Hospitals only captured around half of this revenue, indicating that large frictions impeded takeup. Exploiting the fact that many doctors practice at multiple hospitals, I find that four-fifths of the dispersion in adoption reflects differences in the ability of hospitals to extract documentation from physicians. A hospital's adoption of coding is robustly correlated with its heart attack survival rate and its use of inexpensive survival-raising care. Hospital–physician integration and electronic medical records are also associated with adoption. These findings highlight the potential for institution-level frictions, including agency conflicts, to explain variations in health care performance across providers.

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  • Sacarny, Adam, 2018. "Adoption and learning across hospitals: The case of a revenue-generating practice," Journal of Health Economics, Elsevier, vol. 60(C), pages 142-164.
  • Handle: RePEc:eee:jhecon:v:60:y:2018:i:c:p:142-164
    DOI: 10.1016/j.jhealeco.2018.06.005
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    3. Amitabh Chandra & Pragya Kakani & Adam Sacarny, 2020. "Hospital Allocation and Racial Disparities in Health Care," NBER Working Papers 28018, National Bureau of Economic Research, Inc.
    4. Goldring, Thomas & Jacob, Brian A. & Kreisman, Daniel & Ricks, Michael D., 2024. "Loopholes and the Incidence of Public Services: Evidence from Funding Career & Technical Education," IZA Discussion Papers 16943, Institute of Labor Economics (IZA).
    5. Stuart V. Craig & Keith Marzilli Ericson & Amanda Starc, 2018. "How Important Is Price Variation Between Health Insurers?," NBER Working Papers 25190, National Bureau of Economic Research, Inc.
    6. Maggie Shi, 2023. "Monitoring for Waste: Evidence from Medicare Audits," NBER Working Papers 31559, National Bureau of Economic Research, Inc.
    7. Gautam Gowrisankaran & Keith A. Joiner & Jianjing Lin, 2016. "How do Hospitals Respond to Payment Incentives?," NBER Working Papers 22873, National Bureau of Economic Research, Inc.
    8. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R4, Cowles Foundation for Research in Economics, Yale University, revised Jun 2023.
    9. Chiu, Kevin, 2021. "The impact of certificate of need laws on heart attack mortality: Evidence from county borders," Journal of Health Economics, Elsevier, vol. 79(C).
    10. Atul Gupta & Ambar La Forgia & Adam Sacarny, 2024. "Turbocharging Profits? Contract Gaming and Revenue Allocation in Healthcare," NBER Working Papers 32564, National Bureau of Economic Research, Inc.
    11. Chen, Alice J. & Munnich, Elizabeth L. & Parente, Stephen T. & Richards, Michael R., 2023. "Provider turf wars and Medicare payment rules," Journal of Public Economics, Elsevier, vol. 218(C).
    12. Craig, Stuart V. & Ericson, Keith Marzilli & Starc, Amanda, 2021. "How important is price variation between health insurers?," Journal of Health Economics, Elsevier, vol. 77(C).
    13. Matthias Bäuml, 2021. "How do hospitals respond to cross price incentives inherent in diagnosis‐related groups systems? The importance of substitution in the market for sepsis conditions," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 711-728, April.
    14. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R3, Cowles Foundation for Research in Economics, Yale University, revised Jan 2023.

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    More about this item

    Keywords

    Hospitals; Healthcare; Technology adoption; Firm performance; Upcoding;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • I1 - Health, Education, and Welfare - - Health
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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