Observational studyEpilepsia open2021
Demonstrating the feasibility of digital health to support pediatric patients in South Africa.
Observational study in Epilepsia open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Barriers associated with the implementation, adoption, scale-up and sustainability of mHealth in Sub-Saharan Africa: a systematic review guided by the NASSS Framework.BMJ health & care informatics · 2026Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Dravet syndrome: A systematic literature review of the illness burden.Epilepsia open · 2023Pooled it
- Implementation of child-centred outcome measures in routine paediatric healthcare practice: a systematic review.Health and quality of life outcomes · 2023Pooled it
- The burden of illness in Lennox-Gastaut syndrome: a systematic literature review.Orphanet journal of rare diseases · 2023Pooled it
- Screen exposure and circadian disruption in paediatric epilepsy: risks and technology-based approaches - a literature review.Postepy psychiatrii neurologii · 2026Review
- Personalized care of paediatric drug-resistant epilepsy in Africa: A single-centre pilot study utilizing mobile health and genetic testing.Developmental medicine and child neurology · 2026Observational
- Awareness, Perceptions, Willingness, and Feasibility of mHealth Apps Among People Living With Epilepsy: Cross-Sectional Questionnaire Study.JMIR formative research · 2025Article
- Integration of Artificial Intelligence and Wearable Devices in Pediatric Clinical Care: A Review.Bioengineering (Basel, Switzerland) · 2025Review
- Telemedicine Adoption and Prospects in Sub-Sahara Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria.Healthcare (Basel, Switzerland) · 2025Review
- Article
- Smartphone applications for the management of epilepsy in children and adolescents.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2024Review
- Wearables for Measuring Health Effects of Climate Change-Induced Weather Extremes: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Healthcare providers' readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase.BMC health services research · 2022Article
- Using wearable devices to generate real-world, individual-level data in rural, low-resource contexts in Burkina Faso, Africa: A case study.Frontiers in public health · 2022Article
- Demonstrating the feasibility of digital health to support pediatric patients in South Africa.Epilepsia open · 2021Observational
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveResources for management of epilepsy in Africa are extremely limited reinforcing the need to develop innovative strategies for optimizing care. Studies have shown that the prevalence of epilepsy in low- and middle-income countries is substantially greater than in more resourced countries. The objective of this report was to demonstrate that mobile Health (mHealth) technologies have the potential to improve the management of epilepsy in Africa.
methodsThe feasibility of technology-based home monitoring was investigated in an observational study of 40 children with refractory epilepsy or epilepsy associated with intellectual disability and/or behavior difficulties in South Africa. Technology-based home monitoring was implemented for six months. Physical activity, sleep, and heart rate were continuously monitored with a wearable device. Caregivers completed regular mobile Patient Reported Outcomes (mPROs) and reported seizures and ad hoc events using a dedicated app. Feasibility was assessed and descriptively measured for recruitment, retention, and engagement of the participants.
resultsThe mHealth technology was able to capture important information that gives an impression of the overall experience of the children and their caregivers. Thirty-seven participants (94.9%) reported at least one clinical event. Seventy-nine percent of caregivers reported seizure events in their children, which were the primary event anticipated. Median engagement with the wearable device and monthly mPROs was 30.8% and 57.1%, respectively. However, most participants (87%) had to be given smartphones for them to have Bluetooth capabilities and access to the study app. Tolerability to the device was impacted by the difficult living circumstances of caregivers that induced fear of loss or theft. SIGNIFICANCE: The study showed how the use of remote patient monitoring in the form of mHealth can benefit epilepsy patients, despite highly variable engagement with the technology. The combination of mPROs and wearable devices generated informative datasets that will allow clinicians but also the children and their caregivers to better understand and manage the disease.
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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.