There is limited understanding of why routine immunization (RI) coverage improves in some settings in Africa and not in others. Using a grounded theory approach, we conducted in-depth case studies to understand pathways to coverage improvement by comparing immunization programme experience in 12 districts in three countries (Ethiopia, Cameroon and Ghana). Drawing on positive deviance or assets model techniques we compared the experience of districts where diphtheria–tetanus–pertussis (DTP3)/pentavalent3 (Penta3) coverage improved with districts where DTP3/Penta3 coverage remained unchanged (or steady) over the same period, focusing on basic readiness to deliver immunization services and drivers of coverage improvement. The results informed a model for immunization coverage improvement that emphasizes the dynamics of immunization systems at district level. In all districts, whether improving or steady, we found that a set of basic RI system resources were in place from 2006 to 2010 and did not observe major differences in infrastructure. We found that the differences in coverage trends were due to factors other than basic RI system capacity or service readiness. We identified six common drivers of RI coverage performance improvement—four direct drivers and two enabling drivers—that were present in well-performing districts and weaker or absent in steady coverage districts, and map the pathways from driver to improved supply, demand and coverage. Findings emphasize the critical role of implementation strategies and the need for locally skilled managers that are capable of tailoring strategies to specific settings and community needs. The case studies are unique in their focus on the positive drivers of change and the identification of pathways to coverage improvement, an approach that should be considered in future studies and routine assessments of district-level immunization system performance.

mHealth-the use of mobile technologies for health-is a growing element of health system activity globally, but evaluation of those activities remains quite scant, and remains an important knowledge gap for advancing mHealth activities. In 2010, the World Health Organization and Columbia University implemented a small-scale survey to generate preliminary data on evaluation activities used by mHealth initiatives. The authors describe self-reported data from 69 projects in 29 countries. The majority (74%) reported some sort of evaluation activity, primarily nonexperimental in design (62%). The authors developed a 6-point scale of evaluation rigor comprising information on use of comparison groups, sample size calculation, data collection timing, and randomization. The mean score was low (2.4); half (47%) were conducting evaluations with a minimum threshold (4+) of rigor, indicating use of a comparison group, while less than 20% had randomized the mHealth intervention. The authors were unable to assess whether the rigor score was appropriate for the type of mHealth activity being evaluated. What was clear was that although most data came from mHealth projects pilots aimed for scale-up, few had designed evaluations that would support crucial decisions on whether to scale up and how. Whether the mHealth activity is a strategy to improve health or a tool for achieving intermediate outcomes that should lead to better health, mHealth evaluations must be improved to generate robust evidence for cost-effectiveness assessment and to allow for accurate identification of the contribution of mHealth initiatives to health systems strengthening and the impact on actual health outcomes.

This paper operationalizes household food security and links it to household food consumption patterns in rural Nepal. Food security has long been used as a macro-level indicator of agricultural stability by both agricultural and economic researchers. However, little work has been done to operationalize it at the household level. We view household food security as reflecting three different dimensions: past food supply, current food stores, and future supply of food adequate to meet the needs of all household members. A key method is the construction of scales that capture these different aspects of household food security. When operationalized in this way, household food security is associated with increased consumption of non-staple foods in this setting. Past household food security is associated with increased frequency of meat consumption and increased variety of food consumed. Current household food security predicts a higher frequency of meat and dairy intake and greater dietary variety. Future household food security is associated with increased total dietary variety and future consumption of dairy products. We feel that this conceptual approach to assessing household food security, i.e., the use of scales to measure past, current, and future components of food security, can be used as a framework in other settings.

Background: We study the role of individual and team-level motivation in explaining large-scale primary care performance improvements in El Salvador, one of the top-performing countries in the Salud Mesoamerica Initiative. Methods: Case study with outlier sampling of high-performing, community health teams in El Salvador. Design includes scoping review of literature, document review, non-participant observation, and qualitative analysis of in-depth interviews following a realist case study protocol. Results: The interplay between program interventions and organizational, community and policy contexts trigger multi-level motivational mechanisms that operate in complex, dynamic fashion. Interventions like performance measurement and team-based, in-kind incentives foster motivation among individual members of high-performing teams, which may be moderated by working conditions, supervision practices, and by the stress exerted by the interventions themselves. Individuals report a strong sense of public service motivation and an overarching sense of commitment to the community they serve. At the interpersonal level, the linkage between performance measurement and in-kind incentives triggers a sense of collective efficacy and increases team motivation and improvement behaviors. The convening of learning forums and performance dialogue increases the stakes for high-performing teams, helps them make sense of performance data, and leads to performance information utilization for healthcare improvements. Closeness to communities creates strong emotional linkages among team members that further increases collective efficacy and social identity. Such changes in individuals, team, and organizational behaviors can contribute to improved delivery of primary care services and explain the gains in performance demonstrated by the program. Conclusions: This case suggests that primary care systems that rely on multi-disciplinary teams for the provision of care can benefit from performance measurement and management interventions that leverage individual and team-level motivation. Realist evaluation can help prioritize policy-relevant research and enhance the design and evaluation of large-scale performance reforms in primary care systems in low- and middle-income settings.