ArticleArchives of disease in childhood2016
Enhancing emergency care in low-income countries using mobile technology-based training tools.
Article in Archives of disease in childhood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emergency Medicine Training Programs in Low- and Middle-Income Countries: A Systematic Review.Annals of global health · 2020Pooled it
- Evaluation of Adaptive Feedback in a Smartphone-Based Game on Health Care Providers' Learning Gain: Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- Continuous vital sign monitoring of acute Lassa fever using wearable biosensor devices in West Africa.Communications medicine · 2025Article
- Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.Sensors (Basel, Switzerland) · 2022Article
- A scoping review of the use of e-learning and e-consultation for healthcare workers in low- and middle-income countries and their potential complementarity.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Multi-lingual "Asthma APP" improves health knowledge of asthma among Australian First Nations carers of children with asthma.Frontiers in pediatrics · 2022Article
- The Development of an Electronic Clinical Decision and Support System to Improve the Quality of Antenatal Care in Rural Tanzania: Lessons Learned Using Intervention Mapping.Frontiers in public health · 2021Article
- White Paper on Early Critical Care Services in Low Resource Settings.Annals of global health · 2021Article
- Impact of Using a 3D Visual Metaphor Serious Game to Teach History-Taking Content to Medical Students: Longitudinal Mixed Methods Pilot Study.JMIR serious games · 2019Article
- Evaluation of Adaptive Feedback in a Smartphone-Based Serious Game on Health Care Providers' Knowledge Gain in Neonatal Emergency Care: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2019Article
- The NeoTree application: developing an integrated mHealth solution to improve quality of newborn care and survival in a district hospital in Malawi.BMJ global health · 2019Article
- Agile Development of a Smartphone App for Perinatal Monitoring in a Resource-Constrained Setting.Journal of health informatics in developing countries · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In this paper, we discuss the role of mobile technology in developing training tools for health workers, with particular reference to low-income countries (LICs). The global and technological context is outlined, followed by a summary of approaches to using and evaluating mobile technology for learning in healthcare. Finally, recommendations are made for those developing and using such tools, based on current literature and the authors' involvement in the field.
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.