Incentive preferences for community health volunteers in Kenya: findings from a discrete choice experiment.

BACKGROUND: Community health volunteers (CHVs) play crucial roles in enabling access to healthcare at the community levels. Although CHVs are considered volunteers, programmes provide financial and non-financial incentives. However, there is limited evidence on which bundle of financial and non-financial incentives are most effective for their improved performance. METHODS: We used a discrete choice experiment (DCE) to understand incentive preferences of CHVs with the aim to improve their motivation, performance and retention. Relevant incentive attributes were identified through qualitative interviews with CHVs and with their supervisors. We then deployed a nominal group technique to generate and rank preferred attributes among CHVs. We developed a DCE based on the five attributes and administered it to 211 CHVs in Kilifi and Bungoma counties in Kenya. We used mixed multinomial logit models to estimate the utility of each incentive attribute and calculated the trade-offs the CHWs were willing to make for a change in stipend. RESULTS: Transport was considered the incentive attribute with most relative importance followed by tools of trade then monthly stipend. CHVs preferred job incentives that offered higher monthly stipends even though it was not the most important. They had negative preference for job incentives that provided award mechanisms for the best performing CHVs as compared with jobs that provided recognition at the community level and preferred job incentives that provided more tools of trade compared with those that provided limited tools. CONCLUSION: A bundled incentive of both financial and non-financial packages is necessary to provide a conducive working environment for CHVs. The menu of options relevant for CHVs in Kenya include transport, tools of trade and monthly stipend. Policy decisions should be contextualised to include these attributes to facilitate CHW satisfaction and performance.

"It's like these CHCs don't exist, are they featured anywhere?": Social network analysis of community health committees in a rural and urban setting in Kenya.

BACKGROUND: In Kenya, Community Health Committees (CHC) were established to enhance community participation in health services. Their role is to provide leadership, oversight in delivery of community health services, promote social accountability and mobilize resources for community health. CHCs form social networks with other actors, with whom they exchange health information for decision-making and accountability. This case study aimed to explore the structure of a rural and an urban CHC network and to analyze how health-related information flowed in these networks. Understanding the pathways of information in community settings may provide recommendations for strategies to improve the role and functioning of CHCs. METHODS: In 2017, we conducted 4 focus group discussions with 27 community discussants and 10 semi-structured interviews with health professionals in a rural area and an urban slum. Using social network analysis, we determined the structure of their social networks and how health related information flowed in these networks. RESULTS: Both CHCs were composed of respected persons nominated by their communities. Each social network had 12 actors that represented both community and government institutions. CHCs were not central actors in the exchange of health-related information. Health workers, community health volunteers and local Chiefs in the urban slum often passed information between the different groups of actors, while CHCs hardly did this. Therefore, CHCs had little control over the flow of health-related information. Although CHC members were respected persons who served in multiple roles within their communities, this did not enhance their centrality. It emerged that CHCs were often left out in the flow of health-related information and decision-making, which led to demotivation. Community health volunteers were more involved by other actors such as health managers and non-governmental organizations as a conduit for health-related information. CONCLUSION: Social network analysis demonstrated how CHCs played a peripheral role in the flow of health-related information. Their perception of being left out of the information flow led to demotivation, which hampered their ability to facilitate community participation in community health services; hence challenging effective participation through CHCs.