BackgroundWhile evidence supports community health worker (CHW) capacity to improve maternal and newborn health in less-resourced countries, key implementation gaps remain. Tools for assessing CHW performance and evidence on what programmatic components affect performance are lacking. This study developed and tested a qualitative evaluative framework and tool to assess CHW team performance in a district program in rural Uganda.MethodsA new assessment framework was developed to collect and analyze qualitative evidence based on CHW perspectives on seven program components associated with effectiveness (selection; training; community embeddedness; peer support; supportive supervision; relationship with other healthcare workers; retention and incentive structures). Focus groups were conducted with four high/medium-performing CHW teams and four low-performing CHW teams selected through random, stratified sampling. Content analysis involved organizing focus group transcripts according to the seven program effectiveness components, and assigning scores to each component per focus group.ResultsFour components, ‘supportive supervision’, ‘good relationships with other healthcare workers’, ‘peer support’, and ‘retention and incentive structures’ received the lowest overall scores. Variances in scores between ‘high’/‘medium’- and ‘low’-performing CHW teams were largest for ‘supportive supervision’ and ‘good relationships with other healthcare workers.’ Our analysis suggests that in the Bushenyi intervention context, CHW team performance is highly correlated with the quality of supervision and relationships with other healthcare workers. CHWs identified key performance-related issues of absentee supervisors, referral system challenges, and lack of engagement/respect by health workers. Other less-correlated program components warrant further study and may have been impacted by relatively consistent program implementation within our limited study area.ConclusionsApplying process-oriented measurement tools are needed to better understand CHW performance-related factors and build a supportive environment for CHW program effectiveness and sustainability. Findings from a qualitative, multi-component tool developed and applied in this study suggest that factors related to (1) supportive supervision and (2) relationships with other healthcare workers may be strongly associated with variances in performance outcomes within a program. Careful consideration of supervisory structure and health worker orientation during program implementation are among strategies proposed to increase CHW performance.

Globally, health worker shortages continue to plague developing countries. Community health workers are increasingly being promoted to extend primary health care to underserved populations. Since 2004, Healthy Child Uganda (HCU) has trained volunteer community health workers in child health promotion in rural southwest Uganda. This study analyses the retention and motivation of volunteer community health workers trained by HCU. It presents retention rates over a 5-year period and provides insight into volunteer motivation. The findings are based on a 2010 retrospective review of the community health worker registry and the results of a survey on selection and motivation. The survey was comprised of qualitative and quantitative questions and verbally administered to a convenience sample of project participants. Between February 2004 and July 2009, HCU trained 404 community health workers (69% female) in 175 villages. Volunteers had an average age of 36.7 years, 4.9 children and some primary school education. Ninety-six per cent of volunteer community health workers were retained after 1 year (389/404), 91% after 2 years (386/404) and 86% after 5 years (101/117). Of the 54 ‘dropouts’, main reasons cited for discontinuation included ‘too busy’ (12), moved (11), business/employment (8), death (6) and separation/divorce (6). Of 58 questionnaire respondents, most (87%) reported having been selected at an inclusive community meeting. Pair-wise ranking was used to assess the importance of seven ‘motivational factors’ among respondents. Those highest ranked were ‘improved child health’, ‘education/training’ and ‘being asked for advice/assistance by peers’, while the modest ‘transport allowance’ ranked lowest. Our findings suggest that in our rural, African setting, volunteer community health workers can be retained over the medium term. Community health worker programmes should invest in community involvement in selection, quality training, supportive supervision and incentives, which may promote improved retention.

PurposeAs a discipline, health organisation and management is focused on health-specific, collective behaviours and activities, whose empirical and theoretical scholarship remains under-utilised in the field of implementation science. This under-engagement between fields potentially constrains the understanding of mechanisms influencing the implementation of evidence-based innovations in health care. The aim of this viewpoint article is to examine how a selection of theories, models and frameworks (theoretical approaches) have been applied to better understand phenomena at the micro, meso and macro systems levels for the implementation of health care innovations. The purpose of which is to illustrate the potential applicability and complementarity of embedding health organisation and management scholarship within the study of implementation science.Design/methodology/approachThe authors begin by introducing the two fields, before exploring how exemplary theories, models and frameworks have been applied to study the implementation of innovations in the health organisation and management literature. In this viewpoint article, the authors briefly reviewed a targeted collection of articles published in the Journal of Health Organization and Management (as a proxy for the broader literature) and identified the theories, models and frameworks they applied in implementation studies. The authors then present a more detailed exploration of three interdisciplinary theories and how they were applied across three different levels of health systems: normalization process theory (NPT) at the micro individual and interpersonal level; institutional logics at the meso organisational level; and complexity theory at the macro policy level. These examples are used to illustrate practical considerations when implementing change in health care organisations that can and have been used across various levels of the health system beyond these presented examples.FindingsWithin the Journal of Health Organization and Management, the authors identified 31 implementation articles, utilising 34 theories, models or frameworks published in the last five years. As an example of how theories, models and frameworks can be applied at the micro individual and interpersonal levels, behavioural theories originating from psychology and sociology (e.g. NPT) were used to guide the selection of appropriate implementation strategies or explain implementation outcomes based on identified barriers and enablers to implementing innovations of interest. Projects aiming to implement change at the meso organisational level can learn from the application of theories such as institutional logics, which help elucidate how relationships at the macro and micro-level have a powerful influence on successful or unsuccessful organisational action. At the macro policy level, complexity theory represented a promising direction for implementation science by considering health care organisations as complex adaptive systems.Originality/valueThis paper illustrates the utility of a range of theories, models and frameworks for implementation science, from a health organisation and management standpoint. The authors’ viewpoint article suggests that increased crossovers could contribute to strengthening both disciplines and our understanding of how to support the implementation of evidence-based innovations in health care.