Health management information systems (HMIS) produce large amounts of data about health service provision and population health, and provide opportunities for data-based decision-making in decentralized health systems. Yet the data are little-used locally. A well-defined approach to district-level decision-making using health data would help better meet the needs of the local population. In this second of four papers on district decision-making for health in low-income settings, our aim was to explore ways in which district administrators and health managers in low- and lower-middle-income countries use health data to make decisions, to describe the decision-making tools they used and identify challenges encountered when using these tools. A systematic literature review, following PRISMA guidelines, was undertaken. Experts were consulted about key sources of information. A search strategy was developed for 14 online databases of peer reviewed and grey literature. The resources were screened independently by two reviewers using pre-defined inclusion criteria. The 14 papers included were assessed for the quality of reported evidence and a descriptive evidence synthesis of the review findings was undertaken. We found 12 examples of tools to assist district-level decision-making, all of which included two key stages—identification of priorities, and development of an action plan to address them. Of those tools with more steps, four included steps to review or monitor the action plan agreed, suggesting the use of HMIS data. In eight papers HMIS data were used for prioritization. Challenges to decision-making processes fell into three main categories: the availability and quality of health and health facility data; human dynamics and financial constraints. Our findings suggest that evidence is available about a limited range of processes that include the use of data for decision-making at district level. Standardization and pre-testing in diverse settings would increase the potential that these tools could be used more widely.

Background The planning, resourcing, implementation and monitoring of new programmes by district health managers is integral for success and sustainability. Ethiopia introduced the Community-Based Newborn Care programme in 2014 to improve newborn survival: an innovative component allowed community health workers to provide antibiotics for young infants with possible serious bacterial infection when referral was not possible. Informed by the World Health Organization health system building block framework, we aimed to study the capacity and operational challenges of introducing this new health service from the perspective of programme implementers and managers at the district level 20 months after programme initiation. Methods This qualitative study was part of a programme evaluation. From November to December of 2015, we conducted 28 semi-structured interviews with staff at district health offices, health centres and implementing Non-Governmental Organisations in 15 districts of four regions of Ethiopia. Verbatim transcripts were analysed using a priori and emerging themes. Results In line with the government's commitment to treat sick newborns close to their homes, participants reported that community health workers had been successfully trained to provide injectable antibiotics. However, the Community-Based Newborn Care programme was scaled up without allowing the health system to adapt to programme needs. There were inadequate processes and standards to ensure consistent availability of (1) trained staff for technical supervision, (2) antibiotics and (3) monitoring data specific to the programme. Furthermore, Non-Governmental Organizations played a central implementing role, which had implications for the long-term district level ownership and thus for the sustainability of the programme. Conclusion In settings where sustainable local implementation depends on district-level health teams, new programmes should assess health system preparedness to absorb the service, and plan accordingly. Our findings can inform policy makers and implementers about the pre-conditions for a health system to introduce similar services and maximize long-term success.