Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users
Nudging individuals without obvious symptoms of non-communicable diseases (NCDs) to undergo a health screening remains a challenge, especially in middle-income countries, where NCD awareness is low but the incidence is high. We assess whether an awareness campaign implemented on Facebook can encourage individuals in Indonesia to undergo an online diabetes self-screening. We use Facebook's advertisement function to randomly distribute graphical ads related to the risk and consequences of diabetes. Depending on their risk score, participants receive a recommendation to undergo a professional screening. We were able to reach almost 300,000 individuals in only three weeks. More than 1400 individuals completed the screening, inducing costs of about US$0.75 per person. The two ads labeled "diabetes consequences" and "shock" outperform all other ads. A follow-up survey shows that many high-risk respondents have scheduled a professional screening. A cost-effectiveness analysis suggests that our campaign can diagnose an additional person with diabetes for about US$9.
Authors
- Elad Yom‐Tov (ORCID: https://orcid.org/0000-0002-2380-4584)
- Michael Grimm (ORCID: https://orcid.org/0000-0001-9426-3917)
- Manuela Fritz (ORCID: https://orcid.org/0000-0002-6507-644X)
- Ingmar Weber (ORCID: https://orcid.org/0000-0003-4169-2579)
- Benedictus Praditya
Institutions
- RWI – Leibniz Institute for Economic Research (DE)
- Bar-Ilan University (IL)
- University of Passau (DE)
- IZA - Institute of Labor Economics (DE)
- Hochschule für Technik und Wirtschaft des Saarlandes (DE)
- Indonesian Orthopaedic Association (ID)
- Technical University of Munich (DE)
- Saarland University (DE)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1038/s41746-024-01246-x
- Citations
- 6
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.10
Funders
- Microsoft Research
- Universität Passau
- Hamad Bin Khalifa University
- Rijksuniversiteit Groningen
- Technion-Israel Institute of Technology