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Encouraging Preventative Care to Manage Chronic Disease at Scale

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Listed:
  • Claire E. Boone
  • Pablo A. Celhay
  • Paul Gertler
  • Tadeja Gracner

Abstract

We study how reminding high-risk patients with chronic disease of their upcoming primary care appointments impacts their health care and behaviors. We leverage a natural experiment in Chile’s public healthcare system that sent reminders before preventative care appointments to over 300,000 patients with type 2 diabetes and hypertension across 315 public primary care clinics between 2013 and 2018. Employing both a difference-in-differences and instrumental variables approach on national administrative patient-level data, we show that reminders increased preventative care visits, which led to more health screenings and improved medication adherence. In this at-scale program, we find substantial variation in implementation fidelity across clinics, which, once accounted for increases our estimates by over a third. Reminders also increased hospitalizations and reduced in-hospital mortality, suggesting an improvement in timely care-seeking behavior among high-risk patients. Our findings inform healthcare settings where patients must first visit their primary care provider for approval before undergoing tests, receiving medication prescriptions, or getting referrals to other specialists. Through intervening at the first step in the cascade of care, we find that a simple intervention like reminders can have large and meaningful downstream effects.

Suggested Citation

  • Claire E. Boone & Pablo A. Celhay & Paul Gertler & Tadeja Gracner, 2023. "Encouraging Preventative Care to Manage Chronic Disease at Scale," NBER Working Papers 31643, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31643
    Note: AG DEV EH PE
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    References listed on IDEAS

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    1. Damgaard, Mette Trier & Gravert, Christina, 2018. "The hidden costs of nudging: Experimental evidence from reminders in fundraising," Journal of Public Economics, Elsevier, vol. 157(C), pages 15-26.
    2. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    3. Emily Oster, 2018. "Diabetes and Diet: Purchasing Behavior Change in Response to Health Information," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 308-348, October.
    4. Sarah Miller & Norman Johnson & Laura R Wherry, 2021. "Medicaid and Mortality: New Evidence From Linked Survey and Administrative Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1783-1829.
    5. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    6. Jay Pan & Xiaoyan Lei & Gordon G. Liu, 2016. "Health Insurance and Health Status: Exploring the Causal Effect from a Policy Intervention," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1389-1402, November.
    7. 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.
    8. Brantly Callaway & Andrew Goodman-Bacon & Pedro H. C. Sant'Anna, 2021. "Difference-in-Differences with a Continuous Treatment," Papers 2107.02637, arXiv.org, revised Jan 2024.
    9. James Heckman & Seong Hyeok Moon & Rodrigo Pinto & Peter Savelyev & Adam Yavitz, 2010. "Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program," Quantitative Economics, Econometric Society, vol. 1(1), pages 1-46, July.
    10. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    11. Aviva Aron-Dine & Liran Einav & Amy Finkelstein, 2013. "The RAND Health Insurance Experiment, Three Decades Later," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 197-222, Winter.
    12. 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.
    13. Stefano DellaVigna & Ulrike Malmendier, 2006. "Paying Not to Go to the Gym," American Economic Review, American Economic Association, vol. 96(3), pages 694-719, June.
    14. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    15. Heidi Allen & Katherine Baicker, 2021. "The Effect of Medicaid on Care and Outcomes for Chronic Conditions: Evidence from the Oregon Health Insurance Experiment," NBER Working Papers 29373, National Bureau of Economic Research, Inc.
    16. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    17. Mette T. Damgaard, 2020. "A decade of nudging: What have we learned?," Economics Working Papers 2020-07, Department of Economics and Business Economics, Aarhus University.
    18. Jacob Goldin & Ithai Z Lurie & Janet McCubbin, 2021. "Health Insurance and Mortality: Experimental Evidence from Taxpayer Outreach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 1-49.
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    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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