Introduction Despite the growing global application of mobile health (mHealth) technology in maternal and child health, the contextual factors and mechanisms by which interventional outcomes are generated have not been subjected to extensive review. In this study, we sought to identify context, mechanisms and outcome elements from implementation and evaluation studies of mHealth interventions to formulate theories or models explicating how mHealth interventions work (or not) both for health care providers and for pregnant women and new mothers. Method An electronic search of six online databases (Medline, Pubmed, Google Scholar, Scopus, Academic Search Premier and Health Systems Evidence) was performed. Using appropriate MeSH terms and selection procedure, 32 articles were considered for analysis. A theory-driven approach, narrative synthesis, was applied to synthesise the data. Thematic content analysis was used to delineate the elements of the intervention, including its context, actors, mechanism and outcomes. Retroduction was applied to link these elements using a realist evaluation heuristic to form generative theories. Results Mechanisms that promote the implementation of mHealth by community health workers/health care providers include motivation, perceived skill and knowledge improvement, improved self-e cacy, improved con dence, improved relationship between community health workers and clients, perceived support of community health workers, perceived ease of use and usefulness of mHealth, For pregnant women and new mothers, mechanisms that trigger the uptake of mHealth and use of maternal and child health services included: perceived service satisfaction, perceived knowledge acquisition, support and con dence, improved self-e cacy, encouragement, empowerment and motivation. Information overload was identi ed as a potential negative mechanism for the uptake of maternal and child health services. Conclusion The models developed in this study provide a detailed understanding of the implementation and uptake of mHealth interventions and how they improve maternal and child health services in low and middle income countries. These models provide a foundation for the 'white box' or theory-driven evaluation of mHealth intervention and can improve the rollout and implementation where required.

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Realist evaluation submits that theories and models of how, why, for whom and under what circumstances programs work could be formulated by conceptualizing the relational links between the context within which programs are implemented, the generative mechanisms the programs trigger, and the outcomes of interest. Qualitative and quantitative data collection and analysis allow for the description of the relevant context, the generative mechanisms, and the emergent outcomes of programs and provide explanatory power to link these elements. The ‘realist interviewing technique’, whereby interviewees comment on a suggested ‘program theory’ to provide refinement, is proposed as a distinctive approach for conducting interviews in a realist-informed inquiry. However, the application of this interviewing strategy within the realist evaluation studies is underutilized. In this study, we demonstrate how the realist interview technique reinforces and maintains theoretical awareness and contributes to trustworthiness through three theory-building phases: theory gleaning, theory refining, and theory consolidation.

This paper questions the view that performance-based financing (PBF) in the health sector is an effective, efficient and equitable approach to improving the performance of health systems in low-income and middle-income countries (LMICs). PBF was conceived as an open approach adapted to specific country needs, having the potential to foster system-wide reforms. However, as with many strategies and tools, there is a gap between what was planned and what is actually implemented. This paper argues that PBF as it is currently implemented in many contexts does not satisfy the promises. First, since the start of PBF implementation in LMICs, concerns have been raised on the basis of empirical evidence from different settings and disciplines that indicated the risks, cost and perverse effects. However, PBF implementation was rushed despite insufficient evidence of its effectiveness. Second, there is a lack of domestic ownership of PBF. Considering the amounts of time and money it now absorbs, and the lack of evidence of effectiveness and efficiency, PBF can be characterised as a donor fad. Third, by presenting itself as a comprehensive approach that makes it possible to address all aspects of the health system in any context, PBF monopolises attention and focuses policy dialogue on the short-term results of PBF programmes while diverting attention and resources from broader processes of change and necessary reforms. Too little care is given to system-wide and long-term effects, so that PBF can actually damage health services and systems. This paper ends by proposing entry points for alternative approaches.

Frameworks can clarify concepts and improve understanding of underlying mechanisms in the domain of health systems research and strengthening. Many existing frameworks have a limited capacity to analyze interactions and equilibriums within a health system overlooking values as an underlying steering mechanism. This paper introduces the health system dynamics framework and demonstrates its application as a tool for analysis and modelling. The added value of this framework is: 1) consideration of different levels of a health system and tracing how interventions or events at one level influence other elements and other levels; 2) emphasizes the importance of values; 3) a central axis linking governance, human resources, service delivery and population, and 4) taking into account the key elements of complexity in analysis and strategy development. We urge  the analysis of individual health systems and meta-analysis, for a better understanding of their functioning and strengthening.

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IntroductionSuboptimal retention in care and poor treatment adherence are key challenges to antiretroviral therapy (ART) in sub-Saharan Africa. Community-based approaches to HIV service delivery are recommended to improve patient retention in care and ART adherence. The implementation of the adherence clubs in the Western Cape province of South Africa was with variable success in terms of implementation and outcomes. The need for operational guidelines for its implementation has been identified. Therefore, understanding the contexts and mechanisms for successful implementation of the adherence clubs is crucial to inform the roll-out to the rest of South Africa. The protocol outlines an evaluation of adherence club intervention in selected primary healthcare facilities in the metropolitan area of the Western Cape Province, using the realist approach.Methods and analysisIn the first phase, an exploratory study design will be used. Document review and key informant interviews will be used to elicit the programme theory. In phase two, a multiple case study design will be used to describe the adherence clubs in five contrastive sites. Semistructured interviews will be conducted with purposively selected programme implementers and members of the clubs to assess the context and mechanisms of the adherence clubs. For the programme's primary outcomes, a longitudinal retrospective cohort analysis will be conducted using routine patient data. Data analysis will involve classifying emerging themes using the context-mechanism-outcome (CMO) configuration, and refining the primary CMO configurations to conjectured CMO configurations. Finally, we will compare the conjectured CMO configurations from the cases with the initial programme theory. The final CMOs obtained will be translated into middle range theories.Ethics and disseminationThe study will be conducted according to the principles of the declaration of Helsinki (1964). Ethics clearance was obtained from the University of the Western Cape. Dissemination will be done through publications and curation.

IntroductionImproving maternal health outcomes remains a priority in Low and Middle Income Countries. With the rapid proliferation of mobile health technologies, there is an increased interest in understanding how these technologies can effectively improve maternal health outcomes particularly maternal health seeking knowledge and behaviors. However, few studies present clear explanations of the program developers’ rationale (theory of change) and contextual factors that could influence program outcomes. This mixed-methods study assesses Mobile for Mothers, a community health workers (CHW) utilized maternal mHealth intervention. We present the program developers’ rationale and utilize it as a framework to guide our study that aimed to identify intervention-related and contextual factors, which influence the observed outcomes of a CHW, utilized mHealth intervention.Materials and methodsQuantitative methods (a questionnaire with 740 women who received the intervention and survey of 57 CHWs who utilized the intervention) and qualitative methods (12 interviews and 4 group discussions with CHWs and 20 interviews and 5 group discussions with pregnant and lactating women and 15 interviews and 2 group discussions with men) were conducted. These were used to understand how the mHealth intervention was implemented and to gain insight into contextual factors that potentially influenced the observed intervention outcomes.ResultsResults were grouped following three categories: (1) perceptions and experiences of CHWs utilizing the mHealth technology; (2) CHW-related outcomes; and (3) contextual factors that influence maternal health-seeking behavior. The overall response of CHWs and community members to the intervention was positive. However, contextual factors like the relationship between the CHWs and their respective communities, the pregnant women’s decision-making power and lack of access due to financial influenced the observed outcomes.ConclusionMobile health applications are promising interventions for improving the performance of CHWs and health-seeking behavior of pregnant women. However, the contextual factors play a crucial role in intervention outcomes and need to be explicated by program developers during intervention design and implementation.