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Increasing the Take-up of Public Health Services: An Experiment on Nudges and Digital Tools in Uruguay

Author

Listed:
  • Sánchez, Mario
  • Roseth, Benjamin
  • Cuesta, Ana María
  • Gallegos, Sebastián
  • Delgado, Lucia

Abstract

En este trabajo se pone a prueba si el despliegue de herramientas digitales logra aumentar la utilización de un importante servicio preventivo de salud pública: el tamizaje para la detección del cáncer de cuello uterino. En un experimento de campo a escala en Uruguay, aleatoriamente se alienta a las mujeres a agendar citas médicas con una aplicación digital o recordándoles que lo hagan como de costumbre en su clínica local. El análisis de los registros administrativos muestra que la aplicación digital aumentó la asistencia a las citas de tamizaje con respecto a los recordatorios 1,5 veces, y triplicó la tasa de asistencia en comparación con un grupo de control puro (3,6 puntos porcentuales de aumento sobre una base de 1,9%). Los datos de la encuesta sugieren que los efectos de la intervención estuvieron influidos principalmente por una reducción de los costos de transacción de solicitar una cita. Los resultados obtenidos ponen de manifiesto el potencial de la inversión en sistemas digitales del gobierno para mejorar el uso de los servicios públicos.

Suggested Citation

  • Sánchez, Mario & Roseth, Benjamin & Cuesta, Ana María & Gallegos, Sebastián & Delgado, Lucia, 2021. "Increasing the Take-up of Public Health Services: An Experiment on Nudges and Digital Tools in Uruguay," IDB Publications (Working Papers) 11391, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:11391
    DOI: http://dx.doi.org/10.18235/0003397
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    Cited by:

    1. Seema Kacker & Mario Macis & Prateek Gajwani & David S. Friedman, 2022. "Providing vouchers and value information for already free eye exams increases uptake among a low‐income minority population: A randomized trial," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 541-551, March.

    More about this item

    Keywords

    women; public services; behavioral economics; Information; transaction costs; Field experiment; text messages; Health Outcomes; digitalgovernment; cancer screening;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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