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The closer the better: does better access to outpatient care prevent hospitalization?

Author

Listed:
  • Peter Elek

    (Department of Economics, Eörvös Loránd University (ELTE), Budapest, Hungary)

  • Tamas Molnar

    (Budapest Institute for Policy Analysis, Budapest, Hungary)

  • Balazs Varadi

    (Budapest Institute for Policy Analysis, Budapest, Hungary Department of Economics, ELTE)

Abstract

In 2010-2012 new outpatient service locations were established in poor Hungarian microregions. We exploit this quasi-experiment to estimate the extent of substitution between outpatient and inpatient care. Fixed-effects Poisson models on individual-level panel data for years 2008-2015 show that the number of outpatient visits increased by 19% and the number of inpatient stays decreased by 1.6% as a result, driven by a marked reduction of potentially avoidable hospitalization (PAH) (5%). In our dynamic specification, PAH effects occur in the year after the treatment, whereas non-PAH only decreases with a multi-year lag. The instrumental variable estimates suggest that a one euro increase in outpatient care expenditures produces a 0.6 euro decrease in inpatient care expenditures. Our results (1) strengthen the claim that bringing outpatient care closer to a previously underserved population yields considerable health benefits, and (2) suggest that there is a strong substitution element between outpatient and inpatient care.

Suggested Citation

  • Peter Elek & Tamas Molnar & Balazs Varadi, 2018. "The closer the better: does better access to outpatient care prevent hospitalization?," CERS-IE WORKING PAPERS 1808, Institute of Economics, Centre for Economic and Regional Studies.
  • Handle: RePEc:has:discpr:1808
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    References listed on IDEAS

    as
    1. Kaestner, Robert & Sasso, Anthony T. Lo, 2015. "Does seeing the doctor more often keep you out of the hospital?," Journal of Health Economics, Elsevier, vol. 39(C), pages 259-272.
    2. Kolstad, Jonathan T. & Kowalski, Amanda E., 2012. "The impact of health care reform on hospital and preventive care: Evidence from Massachusetts," Journal of Public Economics, Elsevier, vol. 96(11), pages 909-929.
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    4. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    5. Miller, Sarah, 2012. "The effect of insurance on emergency room visits: An analysis of the 2006 Massachusetts health reform," Journal of Public Economics, Elsevier, vol. 96(11), pages 893-908.
    6. Péter Elek & Balázs Váradi & Márton Varga, 2015. "Effects of Geographical Accessibility on the Use of Outpatient Care Services: Quasi‐Experimental Evidence from Panel Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1131-1146, September.
    7. Anikó Bíró & Péter Elek, 2018. "How does retirement affect healthcare expenditures? Evidence from a change in the retirement age," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 803-818, May.
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    Cited by:

    1. Bíró, Anikó & Prinz, Dániel, 2020. "Healthcare spending inequality: Evidence from Hungarian administrative data," Health Policy, Elsevier, vol. 124(3), pages 282-290.
    2. Lisa Pompeii & Elisa Benavides & Oana Pop & Yuliana Rojas & Robert Emery & George Delclos & Christine Markham & Abiodun Oluyomi & Karim Vellani & Ned Levine, 2020. "Workplace Violence in Outpatient Physician Clinics: A Systematic Review," IJERPH, MDPI, vol. 17(18), pages 1-13, September.
    3. Mingming Xu & Benjamin Bittschi, 2022. "Does the abolition of copayment increase ambulatory care utilization?: a quasi-experimental study in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1319-1328, November.

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    More about this item

    Keywords

    Administrative panel data; Inpatient care; Outpatient care; Potentially avoidable hospitalization; Quasi-experiment; Substitution effect;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I10 - Health, Education, and Welfare - - Health - - - General

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