02636nas a2200265 4500000000100000008004100001653003400042653003600076653001300112653001800125100001400143700001300157700001200170700001300182700001600195700001300211700001200224700001400236700001300250700001300263245014600276856005800422490000600480520188400486 2019 d10aCommunity health worker (CHW)10aLow and middle income countries10aM-health10aTraining CHWs1 aWinters N1 aLanger L1 aNduku P1 aRobson J1 aO'Donovan J1 aMaulik P1 aPaton C1 aGeniets A1 aPeiris D1 aNagraj S00aUsing mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence uhttps://gh.bmj.com/content/bmjgh/4/4/e001421.full.pdf0 v43 a

Introduction 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.

Methods 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.

Results 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.

Conclusion 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.