Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence.

Journal: BMJ global health

Volume: 4

Issue: 4

Year of Publication: 

Affiliated Institutions:  Department of Education, University of Oxford, Oxford, UK. Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa. George Institute for Global Health India, New Delhi, India. Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia. Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK.

Abstract summary 

This paper maps the evidence published between 2000 and 2018 on the use of mobile technologies to train community health workers (CHWs) in low- and middle-income countries (LMICs) across nine areas of global healthcare, including the neglected areas of disability and mental health.We used an evidence mapping methodology, based on systematic review guidelines, to systematically and transparently assess the available evidence-base. We searched eight scientific databases and 54 grey literature sources, developed explicit inclusion criteria, and coded all included studies at full text for key variables. The included evidence-base was visualised and made accessible through heat mapping and the development of an online interactive evidence interface.The systematic search for evidence identified a total of 2530 citations of which 88 met the full inclusion criteria. Results illustrate overall gaps and clusters of evidence. While the evidence map shows a positive shift away from information dissemination towards approaches that use more interactive learner-centred pedagogies, including supervision and peer learning, this was not seen across all areas of global health. Areas of neglect remain; no studies of trauma, disability, nutrition or mental health that use information dissemination, peer learning or supervision for training CHWs in LMICs were found.The evidence map shows significant gaps in the use of mobile technologies for training, particularly in the currently neglected areas of global health. Significant work will be needed to improve the evidence-base, including assessing the quality of mobile-based training programmes.

Authors & Co-authors:  Winters Niall N Langer Laurenz L Nduku Promise P Robson James J O'Donovan James J Maulik Pallab P Paton Chris C Geniets Anne A Peiris David D Nagraj Shobhana S

Study Outcome 

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Statistics
Citations :  WHO guideline on health policy and system support to optimize community health worker programmes . 2018, Geneva: World Health Organization
Authors :  10
Identifiers
Doi : e001421
SSN : 2059-7908
Study Population
Male,Female
Mesh Terms
Other Terms
health education and promotion;public health;systematic review
Study Design
Cross Sectional Study
Study Approach
Systemic Review
Country of Study
Publication Country
England