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Heterogeneous Effects of Blood Pressure Screening

Author

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  • Kämpfen, Fabrice

    (University College Dublin)

  • Mosca, Irene

    (National University of Ireland, Maynooth)

Abstract

This is the first study that investigates the heterogeneous effects of blood pressure (BP) screening on subsequent changes in BP in a high-income country. We use data from clinical health assessments carried out in 2010 (baseline) and 2014 (follow-up) as part of a nationally-representative longitudinal study on ageing in Ireland. We employ a Regression Discontinuity Design (RDD) by comparing outcomes at follow-up on either side of the BP cutoff that separates normal to abnormal BP at baseline. We find that the BP screening reduces BP at follow-up among those who at baseline do not report a previous hypertension diagnosis, with larger and more precisely estimated effects for males, middle-age individuals (as opposed to older individuals) and individuals without public health insurance coverage. However, we find no effects when we include in the analysis individuals who at baseline report a previous hypertension diagnosis. Overall, our analysis suggests that the effectiveness of the screening likely depends on whether the information on the outcome of the screening provided to individuals is new to them or not.

Suggested Citation

  • Kämpfen, Fabrice & Mosca, Irene, 2024. "Heterogeneous Effects of Blood Pressure Screening," IZA Discussion Papers 16767, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16767
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    References listed on IDEAS

    as
    1. Ciancio, Alberto & Kämpfen, Fabrice & Kohler, Hans-Peter & Kohler, Iliana V., 2021. "Health screening for emerging non-communicable disease burdens among the global poor: Evidence from sub-Saharan Africa," Journal of Health Economics, Elsevier, vol. 75(C).
    2. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LLC, vol. 17(2), pages 372-404, June.
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    More about this item

    Keywords

    regression discontinuity design; non-communicable diseases; undiagnosed individuals; blood pressure; hypertension; health screening; ireland; high-income country;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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