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The effects of screening for gestational diabetes

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  • Krista Riukula

    (Etla Economic Research)

Abstract

I estimate the effects of screening “low-risk” women for gestational diabetes using a regression discontinuity design and exploiting exogenous variation in testing at the overweight threshold of the body mass index in Finland. I find that screening low-risk mothers just above the overweight threshold increases the number of mothers diagnosed with gestational diabetes. There is a 1.5 percentage point, or 27%, increase in the probability of being diagnosed with gestational diabetes at the threshold, which translates into a 10.7 percentage point local average treatment effect given the 14.0 percentage point jump in the screening rates. The estimates on the effect on insulin treatment are, however, small and imprecise, suggesting that screening low-risk mothers did not result in diagnoses needing insulin treatment. The cost estimates in the existing literature suggest that the policy is cost-effective. The results also suggest that universal screening could decrease health disparities between mothers with low and high levels of education, given that gestational diabetes is treated if diagnosed. The effect on the probability of having an abnormal test result is over twice as great for the less educated mothers compared to the more educated mothers. Large effects of around 10–20% on adverse birth outcomes (low birth weight, macrosomia, metabolic testing, and C-section) can be ruled out.

Suggested Citation

  • Krista Riukula, 2023. "The effects of screening for gestational diabetes," Empirical Economics, Springer, vol. 65(4), pages 1931-1964, October.
  • Handle: RePEc:spr:empeco:v:65:y:2023:i:4:d:10.1007_s00181-023-02397-8
    DOI: 10.1007/s00181-023-02397-8
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    References listed on IDEAS

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    1. Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    2. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    3. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 591-634.
    4. 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.
    5. Titus J Galama & Hans van Kippersluis, 2019. "A Theory of Socio-economic Disparities in Health over the Life Cycle," The Economic Journal, Royal Economic Society, vol. 129(617), pages 338-374.
    6. 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.
    7. 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.
    8. Cygan-Rehm, Kamila & Karbownik, Krzysztof, 2022. "The effects of incentivizing early prenatal care on infant health," Journal of Health Economics, Elsevier, vol. 83(C).
    9. Ji Yan, 2017. "The Effects of Prenatal Care Utilization on Maternal Health and Health Behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 1001-1018, August.
    10. Janet Currie & Mark Stabile, 2003. "Socioeconomic Status and Child Health: Why Is the Relationship Stronger for Older Children?," American Economic Review, American Economic Association, vol. 93(5), pages 1813-1823, December.
    11. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    12. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    13. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    14. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    15. Mattan Alalouf & Sarah Miller & Laura R. Wherry, 2019. "What Difference Does a Diagnosis Make? Evidence from Marginal Patients," NBER Working Papers 26363, National Bureau of Economic Research, Inc.
    16. Evans, William N. & Lien, Diana S., 2005. "The benefits of prenatal care: evidence from the PAT bus strike," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 207-239.
    17. David Song & James C Hurley & Maryanne Lia, 2020. "Estimated Treatment Effects of Tight Glycaemic Targets in Mild Gestational Diabetes Mellitus: A Multiple Cut-Off Regression Discontinuity Study Design," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
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    More about this item

    Keywords

    Gestational diabetes; Preventative care; Body mass index; Regression discontinuity; Health; Birth outcomes;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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