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Abstract Background Despite the growth in mobile technologies (mHealth) to support Community Health Worker (CHW) supervision, the nature of mHealth-facilitated supervision remains underexplored. One strategy to support supervision at scale could be artificial intelligence (AI) modalities, including machine learning. We developed an open access, machine learning web application (CHWsupervisor) to predictively code instant messages exchanged between CHWs based on supervisory interaction codes. We document the development and validation of the web app and report its predictive accuracy. Methods CHWsupervisor was developed using 2187 instant messages exchanged between CHWs and their supervisors in Uganda. The app was then validated on 1242 instant messages from a separate digital CHW supervisory network in Kenya. All messages from the training and validation data sets were manually coded by two independent human coders. The predictive performance of CHWsupervisor was determined by comparing the primary supervisory codes assigned by the web app, against those assigned by the human coders and calculating observed percentage agreement and Cohen’s kappa coefficients. Results Human inter-coder reliability for the primary supervisory category of messages across the training and validation datasets was ‘substantial’ to ‘almost perfect’, as suggested by observed percentage agreements of 88–95% and Cohen’s kappa values of 0.7–0.91. In comparison to the human coders, the predictive accuracy of the CHWsupervisor web app was ‘moderate’, suggested by observed percentage agreements of 73–78% and Cohen’s kappa values of 0.51–0.56. Conclusions Augmenting human coding is challenging because of the complexity of supervisory exchanges, which often require nuanced interpretation. A realistic understanding of the potential of machine learning approaches should be kept in mind by practitioners, as although they hold promise, supportive supervision still requires a level of human expertise. Scaling-up digital CHW supervision may therefore prove challenging. Trial registration: This was not a clinical trial and was therefore not registered as such.

Abstract Despite increasing evidence of the challenges affecting Community Health Workers (CHWs) such as those related to training, supportive supervision and remuneration, there is a need to explore concerns and challenges from the perspective of CHWs themselves. This commentary highlights some of the contested and unexplored notions of challenges affecting CHWs in low- and middle-income countries (LMICs) informed by the Silences Framework. This framework defines experiences that are under-explored, misunderstood or difficult to share because of the often invisible power relations within communities, but also in setting the research agenda. These challenges include the heavy workload imposed by several stakeholders, dealing with religious and cultural practices, and gendered barriers of care. The workload of CHWs is a major source of stress and anxiety as they have to balance both government and other stakeholders’ agendas to deliver interventions with their own need to provide for their families for those whose work is unpaid. The tensions of CHWs carrying out their work among members of the community whose religious or cultural beliefs are different from theirs also needs to be considered. Gender issues are an impediment to the work of CHWs, particularly with community members of the opposite sex around sensitive health issues. Lastly, CHWs have found themselves victims of domestic suspicion while fulfilling their duties in communities, such as when seen having conversations with spouses of other individuals in the community. Solutions to these challenges need to be co-produced with CHWs to both to strengthen their relationship with the communities they serve and shape more sustainable interventions for delivery of healthcare in LMICs.

Abstract Background Hearing loss is a prevalent but neglected disease, especially in low- or middle-income countries. The role of Community Health Workers (CHWs) to deliver primary ear and hearing care has been explored in several studies from a technical standpoint, but understanding perceptions, barriers, and enablers of such an approach from the perspective of CHWs themselves through a health equity lens has been less well documented. Methods This qualitative study used photovoice to explore the views and experiences of CHWs in the Seeta Nazigo Parish of Mukono District in the delivery of ear and hearing care in the community. CHWs were trained in ear and hearing care, and provided with digital cameras to capture photographs related to their work in the community over the following 3 months. Individual interviews regarding the photographs were held at the end of each month, in addition to one focus group discussion. A community workshop was convened at the end of the study to display the photos. Thematic analysis of photographs was conducted using Braune and Clarkes six-step framework. We also used the data to explore potential roles for key stakeholders in primary ear and hearing care, and how photovoice may facilitate their engagement. Results 13 CHWs participated in the study. Several themes were generated from analysis. CHWs perceived a high burden of ear and hearing disorders in their community and recognised the role they could play in tackling that burden. Potential barriers identified included a lack of equipment, training, and supervision of CHWs; logistical, financial, or psychological barriers to community participation; and the widespread use of traditional medicine. CHWs identified roles for the government and NGO bodies to enable and support delivery of ear and hearing care in the community. The community workshop was a useful method to engage key stakeholders in this topic. Conclusions Photovoice is a powerful method to capture issues affecting CHWs. Here it was used to identify a number of perceptions, barriers and enablers to the delivery of ear and hearing care. Our results may inform future strategy in the field of ear and hearing care, and the potential use of photovoice to enact sociocultural change.

Abstract Background Since 2012, The World Health Organization and UNICEF have advocated for community health workers (CHWs) to be trained in Integrated Community Case Management (iCCM) of common childhood illnesses, such as pneumonia. Despite the effectiveness of iCCM, CHWs face many barriers to accessing training. This pilot study compares traditional training with using locally made videos loaded onto low-cost Android tablets to train CHWs on the pneumonia component of iCCM. Methods We conducted a pilot randomised controlled trial with CHWs in the Mukono District of Uganda. The unit of randomisation was the sub-county level, and the unit of analysis was at the level of the individual CHW. Eligible CHWs had completed basic iCCM training but had not received any refresher training on the pneumonia component of iCCM in the preceding 2 years. CHWs in the control group received training in the recognition, treatment, and prevention of pneumonia as it is currently delivered, through a 1-day, in-person workshop. CHWs allocated to the intervention group received training via locally made educational videos hosted on low-cost Android tablets. The primary outcome was change in knowledge acquisition, assessed through a multiple choice questionnaire before and after training, and a post-training clinical assessment. The secondary outcome was a qualitative evaluation of CHW experiences of using the tablet platform. Results In the study, 129 CHWs were enrolled, 66 and 63 in the control and intervention groups respectively. CHWs in both groups demonstrated an improvement in multiple choice question test scores before and after training; however, there was no statistically significant difference in the improvement between groups (t = 1.15, p = 0.254). There was a statistically significant positive correlation (Pearson’s r = 0.26, p = 0.03) linking years of education to improvement in test scores in the control group, which was not present in the intervention group. The majority of CHWs expressed satisfaction with the use of tablets as a training tool; however, some reported technical issues (n = 9). Conclusion Tablet-based training is comparable to traditional training in terms of knowledge acquisition. It also proved to be feasible and a satisfactory means of delivering training to CHWs. Further research is required to understand the impacts of scaling such an intervention. Trial registration Registered on 23/11/2016 at clinicaltrials.gov (NCT02971449).