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Patient and peer: Guideline design and expert response

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  • Greve, Jane
  • Kristensen, Søren Rud
  • Lydiksen, Nis

Abstract

We examine how patients’ medical expertise influences adherence to clinical guidelines for a treatment that is common, costly, and rationed by the clinical guidelines. Using administrative data on prenatal diagnostic testing (PDT), we compare the testing rates of medically trained patients (experts) and non-medically trained patients (non-experts) on the margin of eligibility thresholds in clinical guidelines. We find that experts are 9 percentage points more likely to receive PDT than non-experts when they are not eligible for testing and that more than 80% of the difference can be attributed to medical expertise. Our results suggest that the design of clinical guidelines is important for adherence and that having medical expertise as a patient affects treatment, when there is room for a deviation from the guideline.

Suggested Citation

  • Greve, Jane & Kristensen, Søren Rud & Lydiksen, Nis, 2023. "Patient and peer: Guideline design and expert response," Journal of Health Economics, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:jhecon:v:92:y:2023:i:c:s0167629623000838
    DOI: 10.1016/j.jhealeco.2023.102806
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    References listed on IDEAS

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    1. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    2. Erin M. Johnson & M. Marit Rehavi, 2016. "Physicians Treating Physicians: Information and Incentives in Childbirth," American Economic Journal: Economic Policy, American Economic Association, vol. 8(1), pages 115-141, February.
    3. Anni Ankjær-Jensen & Pernille Rosling & Lone Bilde, 2006. "Variable prospective financing in the Danish hospital sector and the development of a Danish case-mix system," Health Care Management Science, Springer, vol. 9(3), pages 259-268, August.
    4. Veronica Grembi & Tommaso Nannicini & Ugo Troiano, 2016. "Do Fiscal Rules Matter?," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 1-30, July.
    5. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    6. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    7. Amy Finkelstein & Petra Persson & Maria Polyakova & Jesse M. Shapiro, 2022. "A Taste of Their Own Medicine: Guideline Adherence and Access to Expertise," American Economic Review: Insights, American Economic Association, vol. 4(4), pages 507-526, December.
    8. Charles E. Phelps & Alvin I. Mushlin, 1988. "Focusing Technology Assessment Using Medical Decision Theory," Medical Decision Making, , vol. 8(4), pages 279-289, December.
    9. Charles F. Manski, 2018. "Response to commentaries on “Reasonable patient care under uncertainty”," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1431-1434, October.
    10. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2117-2123.
    11. Frakes, Michael & Gruber, Jonathan & Jena, Anupam, 2021. "Is great information good enough? Evidence from physicians as patients," Journal of Health Economics, Elsevier, vol. 75(C).
    12. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    13. Grytten, Jostein & Skau, Irene & Sørensen, Rune, 2011. "Do expert patients get better treatment than others? Agency discrimination and statistical discrimination in obstetrics," Journal of Health Economics, Elsevier, vol. 30(1), pages 163-180, January.
    14. Khoshnood, B. & De Vigan, C. & Vodovar, V. & Bréart, G. & Goffinet, F. & Blondel, B., 2006. "Advances in medical technology and creation of disparities: The case of Down syndrome," American Journal of Public Health, American Public Health Association, vol. 96(12), pages 2139-2144.
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    More about this item

    Keywords

    Patient information; Clinical guidelines; Expert patients;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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