ArticleFrontiers in public health2022
Mobile health solutions: An opportunity for rehabilitation in low- and middle income countries?
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Are mobile health applications for traumatic dental injuries effective? A systematic review of their impact on diagnosis, prevention, management, and education.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Pooled it
- Communication Strategies to Promote Patient Engagement in Telemedicine: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Effect of technology-supported mindfulness-based interventions for maternal depression: a systematic review and meta-analysis with implementation perspectives for resource-limited settings.BMC pregnancy and childbirth · 2025Pooled it
- Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023Pooled it
- m-Health-based exercise program among children and adolescents with chronic kidney disease: a feasibility study.Pediatric nephrology (Berlin, Germany) · 2026Article
- Bridging evidence and care for knee osteoarthritis in China: a randomized feasibility trial with RE-AIM-guided process evaluation of the PEAK-CHN model of care.Implementation science communications · 2026Article
- Article
- Digital rehabilitation in a low-resource setting: lessons from building an integrated ecosystem in Burundi.Frontiers in digital health · 2026Article
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- Observational
- Supervised or Home-Based? Exploring the Best Exercise Approach for Knee Osteoarthritis Management: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Review
- Professionals' perspectives on the challenges of implementing digital solutions in rehabilitation settings in Rwanda.Frontiers in digital health · 2025Article
- Current Status of Telerehabilitation Services in Low-Middle Income Countries - A Scoping Review.International journal of telerehabilitation · 2025Article
- Investigating the accuracy of Garmin PPG sensors on differing skin types based on the Fitzpatrick scale: cross-sectional comparison study.Frontiers in digital health · 2025Article
- Unlocking the potential of serious games for rehabilitation in low and middle-income countries: addressing potential and current limitations.Frontiers in digital health · 2025Article
- Article
- Modeling the path to digital health intention: the mediating role of system expectation and health beliefs.Frontiers in public health · 2025Article
- Review
- Advancing mHealth Research in Low-Resource Settings: Young Women's Insights and Implementation Challenges with Wearable Smartwatch Devices in Uganda.Sensors (Basel, Switzerland) · 2024Article
- Views of Service Users, Their Family or Carers, and Health Care Professionals on Telerehabilitation for People With Neurological Conditions in Ghana: Qualitative Study.JMIR mHealth and uHealth · 2024Article
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 5 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile health (mHealth) development has advanced rapidly, indicating promise as an effective patient intervention. mHealth has many potential benefits that could help the treatment of patients, and the development of rehabilitation in low- and middle-income countries (LMICs). mHealth is a low-cost option that does not need rapid access to healthcare clinics or employees. It increases the feasibility and rationality of clinical treatment expectations in comparison to the conventional clinical model of management by promoting patient adherence to the treatment plan. mHealth can also serve as a basis for formulating treatment plans and partially compensate for the shortcomings of the traditional model. In addition, mHealth can help achieve universal rehabilitation service coverage by overcoming geographical barriers, thereby increasing the number of ways patients can benefit from the rehabilitation service, and by providing rehabilitation to individuals in remote areas and communities with insufficient healthcare services. However, despite these positive potential aspects, there is currently only a very limited number of studies performed in LMICs using mHealth. In this study, we first reviewed the current evidence supporting the use of mHealth in rehabilitation to identify the countries where studies have been carried out. Then, we identify the current limitations of the implementation of such mHealth solutions and propose a 10-point action plan, focusing on the macro (e.g., policymakers), meso (e.g., technology and healthcare institutions), and micro (e.g., patients and relatives) levels to ease the use, validation, and implementation in LMICs and thus participate in the development and recognition of public health and rehabilitation in these countries.
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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.