Background Insufficient reductions in maternal and neonatal deaths and stillbirths in the past decade are a deterrence to achieving the Sustainable Development Goal 3. The majority of deaths occur during the intrapartum and immediate postnatal period. Overcoming the knowledge-do-gap to ensure implementation of known evidence-based interventions during this period has the potential to avert at least 2.5 million deaths in mothers and their offspring annually. This paper describes a study protocol for implementing and evaluating a multi-faceted health care system intervention to strengthen the implementation of evidence-based interventions and responsive care during this crucial period. Methods This is a cluster randomised stepped-wedge trial with a nested realist process evaluation across 16 hospitals in Benin, Malawi, Tanzania and Uganda. The ALERT intervention will include four main components: i) end-user participation through narratives of women, families and midwifery providers to ensure co-design of the intervention; ii) competency-based training; iii) quality improvement supported by data from a clinical perinatal e-registry and iv) empowerment and leadership mentoring of maternity unit leaders complemented by district based bi-annual coordination and accountability meetings. The trial’s primary outcome is in-facility perinatal (stillbirths and early neonatal) mortality, in which we expect a 25% reduction. A perinatal e-registry will be implemented to monitor the trial. Our nested realist process evaluation will help to understand what works, for whom, and under which conditions. We will apply a gender lens to explore constraints to the provision of evidence-based care by health workers providing maternity services. An economic evaluation will assess the scalability and cost-effectiveness of ALERT intervention. Discussion There is evidence that each of the ALERT intervention components improves health providers’ practices and has modest to moderate effects. We aim to test if the innovative packaging, including addressing specific health systems constraints in these settings, will have a synergistic effect and produce more considerable perinatal mortality reductions. Trial registration Pan African Clinical Trial Registry (www.pactr.org): PACTR202006793783148. Registered on 17th June 2020.

IntroductionHealth information management system data is collected for national planning and evaluation but is rarely used for healthcare improvements at subnational or facility-level in low-and-middle-income countries. Research suggests that perceived data quality and lack of feedback are contributing factors. We aimed to understand maternity care providers’ perceptions of data and how they use it, with a view to co-design interventions to improve data quality and use.MethodsWe based our research on constructivist grounded theory. We conducted 14 in-depth interviews, two focus group discussions with maternity care providers and 48 hours of observations in maternity wards to understand maternity providers’ interaction with data in two rural hospitals in Southern Tanzania. Constant comparative data analysis was applied to develop initial and focused codes, subcategories and categories were continuously validated through peer and member checks.ResultsMaternity care providers found routine health information data of little use to reconcile demands from managers, the community and their challenging working environment within their daily work. They thus added informal narrative documentation sources. They created alternative narratives through data of a maternity care where mothers and babies were safeguarded. The resulting documentation system, however, led to duplication and increased systemic complexity.ConclusionsCurrent health information systems may not meet all data demands of maternity care providers, or other healthcare workers. Policy makers and health information system specialists need to acknowledge different ways of data use beyond health service planning, with an emphasis on healthcare providers’ data needs for clinical documentation.

Introduction Health information management system data is collected for national planning and evaluation but rarely used for health care improvements at the sub-national or facility-level in low-and-middle-income countries. Research suggests that perceived data quality and lack of feedback are contributing factors. We aimed to understand maternity care providers′ perceptions of data and how they use them, with a view to co-design interventions to improve data quality and use. Methods We based our research on constructivist grounded theory. We conducted 14 in-depth interviews, two focus group discussions with maternity care providers and 48 hours of observations in maternity wards of two rural hospitals in Southern Tanzania. Constant comparative data analysis was applied to develop initial and focused codes, sub-categories and categories continuously validated through peer and member checks. Results Maternity care providers appropriated numeric data on service provision to reconcile their professional values and demands from managers and the community with effects of a challenging working environment. They felt controlled by their managers′ data requirements and alienated from service provision data. Providers added informal documentation ways for their own narrative data needs to reflect on and improve service quality. These also assisted them to recreate social relationships with managers, clients and the community. The resulting documentation system led to duplication and increased systemic complexity. Conclusions Data from health information systems does not represent an independent and neutral entity but is embedded into the social realities of different users. Appropriation and use of data reflect these realities and users′ working environment. Interventions to improve data quality and use may need to incorporate the multitude of clinical and administrative documentation and data needs to avoid duplication and inefficiencies.

Background Evidence shows that delivery of prompt and appropriate in-patient newborn care (IPNC) through health facility (HF)-based neonatal care and stabilization units (NCU/NSUs) reduce preventable newborn mortalities (NMs). This study investigated the HFs for availability and performance of NCU/NSUs in providing quality IPNC, and explored factors influencing the observed performance outcomes in Mtwara region, Tanzania. Methods A cross-sectional study was conducted using a follow-up explanatory mixed-methods approach. HF-based records and characteristics allowing for delivery of quality IPNC were reviewed first to establish the overall HF performance. The review findings were clarified by healthcare staff and managers through in-depth interviews (IDIs) and focus group discussions (FGDs). Results About 70.6% (12/17) of surveyed HFs had at least one NCU/NSU room dedicated for delivery of IPNC but none had a fully established NCUs/NSU, and 74.7% (3,600/4,819) of needy newborns were admitted/transferred in for management. Essential medicines such as tetracycline eye ointment were unavailable in 75% (3/4) of the district hospitals (DHs). A disparity existed between the availability and functioning of equipment including infant radiant warmers (92% vs 73%). Governance, support from implementing patterns (IPs), and access to healthcare commodities were identified from qualitative inquiries as factors influencing the establishment and running of NCUs/NSUs at the HFs in Mtwara region, Tanzania. Conclusion Despite the positive progress, the establishment and performance of NCUs/NSUs in providing quality IPNC in HFs in Mtwara region is lagging behind the Tanzania neonatal care guideline requirements, particularly after the IPs of newborn health interventions completed their terms in 2016. This study suggests additional improvement plans for Mtwara region and other comparable settings to optimize the provision of quality IPNC and lower avoidable NMs.