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Behaviour within a Clinical Trial and Implications for Mammography Guidelines

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  • Amanda E Kowalski

Abstract

Mammography guidelines have weakened in response to evidence that mammograms diagnose breast cancers that would never eventually cause symptoms, a phenomenon called “overdiagnosis.” Given concerns about overdiagnosis, instead of recommending mammograms, US guidelines encourage women aged 40–49 to get them as they see fit. To assess whether these guidelines target women effectively, I propose an approach that examines mammography behaviour within an influential clinical trial that followed participants long enough to find overdiagnosis. I find that women who are more likely to receive mammograms are healthier and have higher socioeconomic status. More importantly, I find that the 20-year level of overdiagnosis is at least 3.5 times higher among women who are most likely to receive mammograms. At least 36 of their cancers are overdiagnosed. These findings imply that US guidelines encourage mammograms among healthier women who are more likely to be overdiagnosed by them. Guidelines in other countries do not.

Suggested Citation

  • Amanda E Kowalski, 2023. "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 432-462.
  • Handle: RePEc:oup:restud:v:90:y:2023:i:1:p:432-462.
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    File URL: http://hdl.handle.net/10.1093/restud/rdac022
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    Cited by:

    1. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    2. Philippe de Donder & David Bardey & Marie-Louise Leroux, 2024. "Incentivizing Physicians' Diagnostic Effort and Test with Moral Hazard and Adverse Selection," Working Papers hal-04803393, HAL.
    3. Joshua Angrist & Bruno Ferman & Carol Gao & Peter Hull & Otavio L. Tecchio & Robert W. Yeh, 2024. "Instrumental Variables with Time-Varying Exposure: New Estimates of Revascularization Effects on Quality of Life," NBER Working Papers 33296, National Bureau of Economic Research, Inc.
    4. Marianne Bitler & Christopher Carpenter, 2019. "Effects of Direct Care Provision to the Uninsured: Evidence from Federal Breast and Cervical Cancer Programs," NBER Working Papers 26140, National Bureau of Economic Research, Inc.
    5. Emily Oster, 2020. "Health Recommendations and Selection in Health Behaviors," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 143-160, June.
    6. Opper, Isaac M., 2024. "From LATE to ATE: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 246(1).
    7. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    8. Jisoo Hwang & Seung‐sik Hwang & Hyuncheol Bryant Kim & Jungmin Lee & Junseok Lee, 2024. "Risk compensation after COVID‐19 vaccination: Evidence from vaccine rollout by exact birth date in South Korea," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1811-1830, August.

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    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • I1 - Health, Education, and Welfare - - Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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