Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence
<p><strong>Introduction:</strong> 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 area...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
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BMJ Journals
2019
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| _version_ | 1826287073476214784 |
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| author | Winters, N Langer, L Nduku, P Robson, J O'Donovan, J Maulik, P Paton, C Geniets, A Peiris, D Nagraj, S |
| author_facet | Winters, N Langer, L Nduku, P Robson, J O'Donovan, J Maulik, P Paton, C Geniets, A Peiris, D Nagraj, S |
| author_sort | Winters, N |
| collection | OXFORD |
| description | <p><strong>Introduction:</strong> 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.</p> <p><strong>Methods:</strong> 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.</p> <p><strong>Results:</strong> 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.</p> <p><strong>Conclusion:</strong> 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.</p> |
| first_indexed | 2024-03-07T01:53:09Z |
| format | Journal article |
| id | oxford-uuid:9ad03958-a3e8-4748-a8c4-06f670583820 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:53:09Z |
| publishDate | 2019 |
| publisher | BMJ Journals |
| record_format | dspace |
| spelling | oxford-uuid:9ad03958-a3e8-4748-a8c4-06f6705838202022-03-27T00:24:09ZUsing mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidenceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9ad03958-a3e8-4748-a8c4-06f670583820EnglishSymplectic Elements at OxfordBMJ Journals2019Winters, NLanger, LNduku, PRobson, JO'Donovan, JMaulik, PPaton, CGeniets, APeiris, DNagraj, S<p><strong>Introduction:</strong> 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.</p> <p><strong>Methods:</strong> 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.</p> <p><strong>Results:</strong> 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.</p> <p><strong>Conclusion:</strong> 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.</p> |
| spellingShingle | Winters, N Langer, L Nduku, P Robson, J O'Donovan, J Maulik, P Paton, C Geniets, A Peiris, D Nagraj, S Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title | Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title_full | Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title_fullStr | Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title_full_unstemmed | Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title_short | Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence |
| title_sort | using mobile technologies to support the training of community health workers in low income and middle income countries mapping the evidence |
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