IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc21/242404.html
   My bibliography  Save this paper

Did you know? The effect of SMS reminders on health screening uptake in Indonesia

Author

Listed:
  • Marcus, Maja-Emilia
  • Reuter, Anna
  • Rogge, Lisa
  • Vollmer, Sebastian

Abstract

While the burden of non-communicable diseases is rising in low- and middle-income countries, the uptake of screening for these diseases remains low. We conducted a community-based RCT in Indonesia to assess whether personalized and targeted text messages can increase the demand for existing public screening services for diabetes and hypertension in the at-risk population. Our intervention increased screening uptake by approximately 6.6 percentage points compared to the pure control group. Among those, who received and read the messages, the effect size is 17 percentage points. The intervention appears to work through a reminder rather than a knowledge effect. We conclude that text messages can be a cheap and easily scalable tool to reduce testing gaps in a middle-income country setting.

Suggested Citation

  • Marcus, Maja-Emilia & Reuter, Anna & Rogge, Lisa & Vollmer, Sebastian, 2021. "Did you know? The effect of SMS reminders on health screening uptake in Indonesia," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242404, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc21:242404
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/242404/1/vfs-2021-pid-49972.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eliana Chavarría & Farah Diba & Maja E. Marcus & Marthoenis & Anna Reuter & Lisa Rogge & Sebastian Vollmer, 2021. "Knowing Versus Doing: Protective Health Behaviour Against COVID-19 in Aceh, Indonesia," Journal of Development Studies, Taylor & Francis Journals, vol. 57(8), pages 1245-1266, August.
    2. Gabriel Picone & Frank Sloan & Donald Taylor, 2004. "Effects of Risk and Time Preference and Expected Longevity on Demand for Medical Tests," Journal of Risk and Uncertainty, Springer, vol. 28(1), pages 39-53, January.
    3. Dammert, Ana C. & Galdo, Jose C. & Galdo, Virgilio, 2014. "Preventing dengue through mobile phones: Evidence from a field experiment in Peru," Journal of Health Economics, Elsevier, vol. 35(C), pages 147-161.
    4. Eric W. Djimeu & Deo-Gracias Houndolo, 2016. "Power calculation for causal inference in social science: sample size and minimum detectable effect determination," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(4), pages 508-527, October.
    5. Abhijit Banerjee & Marcella Alsan & Emily Breza & Arun G. Chandrasekhar & Abhijit Chowdhury & Esther Duflo & Paul Goldsmith-Pinkham & Benjamin A. Olken, 2020. "Messages on COVID-19 Prevention in India Increased Symptoms Reporting and Adherence to Preventive Behaviors Among 25 Million Recipients with Similar Effects on Non-recipient Members of Their Communiti," NBER Working Papers 27496, National Bureau of Economic Research, Inc.
    6. Ted O'Donoghue & Matthew Rabin, 2015. "Present Bias: Lessons Learned and to Be Learned," American Economic Review, American Economic Association, vol. 105(5), pages 273-279, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lenel, Friederike & Priebe, Jan & Satriawan, Elan & Syamsulhakim, Ekki, 2022. "Can mHealth campaigns improve CCT outcomes? Experimental evidence from sms-nudges in Indonesia," Journal of Health Economics, Elsevier, vol. 86(C).
    2. Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    3. Ryan Edwards, 2013. "The cost of uncertain life span," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1485-1522, October.
    4. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    5. Beccuti, Juan & Möller, Marc, 2021. "Screening by mode of trade," Games and Economic Behavior, Elsevier, vol. 129(C), pages 400-420.
    6. Sophie Massin & Antoine Nebout & Bruno Ventelou, 2018. "Predicting medical practices using various risk attitude measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 843-860, July.
    7. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    8. Okeke, Edward N. & Adepiti, Clement A. & Ajenifuja, Kayode O., 2013. "What is the price of prevention? New evidence from a field experiment," Journal of Health Economics, Elsevier, vol. 32(1), pages 207-218.
    9. Spitzer, Sonja & Shaikh, Mujaheed, 2022. "Health misperception and healthcare utilisation among older Europeans," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    10. André de Palma & Gordon M. Myers & Yorgos Y. Papageorgiou, 2022. "PoolLines: Imperfect Public Choice," THEMA Working Papers 2022-25, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    11. Delphine Boutin & Laurène Petifour & Haris Megzari, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Working Papers hal-03623601, HAL.
    12. Michael Hoy & Julia Witt, 2007. "Welfare Effects of Banning Genetic Information in the Life Insurance Market: The Case of BRCA1/2 Genes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 523-546, September.
    13. Cátia Batista & Marcel Fafchamps & Pedro C Vicente, 2022. "Keep It Simple: A Field Experiment on Information Sharing among Strangers [Changing Saving and Investment Behavior: The Impact of Financial Literacy Training and Reminders on Micro-Businesses]," The World Bank Economic Review, World Bank, vol. 36(4), pages 857-888.
    14. Werthschulte, Madeline, 2023. "Present focus and billing systems: Testing ‘pay-as-you-go’ vs. ‘pay-later’," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 108-121.
    15. Marjon Pol & Deirdre Hennessy & Braden Manns, 2017. "The role of time and risk preferences in adherence to physician advice on health behavior change," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(3), pages 373-386, April.
    16. Kulati, Ellam & Myck, Michał & Pasini, Giacomo, 2023. "Temporal discounting in later life," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 87-101.
    17. Heather Brown & Marjon van der Pol, 2014. "The Role Of Time Preferences In The Intergenerational Transfer Of Smoking," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1493-1501, December.
    18. Setti Rais Ali & Paul Dourgnon & Lise Rochaix, 2018. "Social Capital or Education: What Matters Most to Cut Time to Diagnosis?," Working Papers halshs-01703170, HAL.
    19. Diether W. Beuermann & Patricia Garcia & Jose Perez Lu & Rafael Anta & Alessandro Maffioli & Maria Fernanda Rodrigo, 2020. "Information and Communication Technologies, Prenatal Care Services, and Neonatal Health," Journal of Economics, Race, and Policy, Springer, vol. 3(1), pages 41-59, March.
    20. Lowe, Matt & Nadhanael, G.V. & Roth, Benjamin N., 2021. "India’s food supply chain during the pandemic," Food Policy, Elsevier, vol. 105(C).

    More about this item

    Keywords

    Health; Noncommunicable Diseases; Information; Health Systems; Screening Uptake; mHealth; text message reminder;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:vfsc21:242404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.