ArticlemHealth2020
Can mHealth and eHealth improve management of diabetes and hypertension in a hard-to-reach population? -lessons learned from a process evaluation of digital health to support a peer educator model in Cambodia using the RE-AIM framework.
Article in mHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Reporting Gaps in mHealth Intervention Studies for Adults With Diabetes: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Factors Influencing the Uptake of Digital Health Interventions for Cardiovascular Disease Prevention Among Healthcare Providers: A Systematic Review.Global heart · 2026Pooled it
- eHealth tools to assess the neurological function for research, in absence of the neurologist - a systematic review, part I (software).Journal of neurology · 2024Pooled it
- Clinical and patient-centered implementation outcomes of mHealth interventions for type 2 diabetes in low-and-middle income countries: a systematic review.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Tailored video-based lifestyle intervention for overweight or obese adults in Phnom Penh, Cambodia: a pilot cluster randomized controlled trial.Health policy and planning · 2026Trial
- WhatsApp-Based Intervention for Diabetes Prevention and Care in Argentina: Implementation and Process Evaluation.JMIR formative research · 2025Article
- Conundrum and chances of diabetes management in the Western Pacific Region: A narrative review.Journal of diabetes investigation · 2025Review
- [Barriers and facilitators of two pilot projects of telemonitoring aimed at patients with diabetesRevista de salud publica (Bogota, Colombia) · 2025Article
- Dietary assessment using a novel image-voice-based system indicates nutrient inadequacies in Cambodian women's dietary intake.Journal of nutritional science · 2025Observational
- Advancing mHealth Research in Low-Resource Settings: Young Women's Insights and Implementation Challenges with Wearable Smartwatch Devices in Uganda.Sensors (Basel, Switzerland) · 2024Article
- How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities.PLOS digital health · 2024Review
- A RE-AIM Analysis of a Mental Health App for Undergraduate and Medical Students during the COVID-19 Pandemic: A Retrospective Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Evaluation of Diabetes Care Performance in Cambodia Through the Cascade-of-Care Framework: Cross-Sectional Study.JMIR public health and surveillance · 2023Article
- The promise of digital health technologies for integrated care for maternal and child health and non-communicable diseases.BMJ (Clinical research ed.) · 2023Article
- Implementation Science Perspectives on Implementing Telemedicine Interventions for Hypertension or Diabetes Management: Scoping Review.Journal of medical Internet research · 2023Article
- Digital Health Technologies Applied by the Pharmaceutical Industry to Improve Access to Noncommunicable Disease Care in Low- and Middle-Income Countries.Global health, science and practice · 2022Article
- Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study.JMIR diabetes · 2022Article
- World Heart Federation Roadmap for Digital Health in Cardiology.Global heart · 2022Article
- Article
- The facilitators and barriers of mHealth adoption and use among people with a low socio-economic position: A scoping review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe burden of non-communicable diseases (NCDs) is increasing in low- and middle-income countries (LMICs) where NCDs cause 4:5 deaths, disproportionately affect poorer populations, and carry a large economic burden. Digital interventions can improve NCD management for these hard-to-reach populations with inadequate health systems and high cell-phone coverage; however, there is limited research on whether digital health is reaching this potential. We conducted a process evaluation to understand challenges and successes from a digital health intervention trial to support Cambodians living with NCDs in a peer educator (PE) program.
methodsMoPoTsyo, a Cambodian non-governmental organization (NGO), trains people living with diabetes and/or hypertension as PEs to provide self-management education, support, and healthcare linkages for better care management among underserved populations. We partnered with MoPoTsyo and InSTEDD in 2016-2018 to test tailored and targeted mHealth mobile voice messages and eHealth tablets to facilitate NCD management and clinical-community linkages. This cluster randomized controlled trial (RCT) engaged 3,948 people and 75 PEs across rural and urban areas. Our mixed methods process evaluation was guided by RE-AIM to understand impact and real-world implications of digital health. Data included patient (20) and PE interviews (6), meeting notes, and administrative datasets. We triangulated and analyzed data using thematic analysis, and descriptive and complier average causal effects statistics (CACE).
resultsReach: intervention participants were more urban (66%
conclusionsEvidence for digital health to improve NCD outcomes in LMICs are limited. This study suggests digital health alone is insufficient in countries with low resource health systems and that high cell phone coverage did not translate to access. Adding digital health to an NCD peer network may not significantly benefit an already effective program; mHealth may be better for hard-to-reach populations not connected to other supports. As long as mHealth remains an individual-level intervention, it will not address social determinants of health that drive outcomes. Future digital health research and practice to improve NCD management in LMICs requires engaging government, NGOs, and technology providers to work together to address barriers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.