Reducing maternal and neonatal mortality through integrated and sustainability-focused programming in Zambia

Do global health networks facilitate innovation, learning and sharing? A qualitative analysis of the Quality-of-Care Network in Bangladesh, Ethiopia, Malawi, and Uganda

The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022. We also reviewed all accessible QCN documents. Drawing on knowledge sharing theory, we thematically analysed the qualitative data according to three themes: sharing, learning, and innovations. Sharing and learning were evident through virtual and in-person platforms including conferences and webinars, held on online resource libraries such as the QCN website. This provides access to strategies and approaches shared by countries and actors. Locally, there was a strengthening of learning collaborative meetings, coaching, and mentorship. Regular meetings, such as stakeholder coordination meetings and learning collaborative sessions, provided opportunity for stakeholders to strategize, share and learn maternal and child health approaches. The network also promoted coordination among stakeholders. Common sharing and learning approaches, such as learning collaborative sessions, were evident across QCN countries. However, innovation was not as apparent across countries. While there were some exceptions, such as the development and adoption of innovative software applications aimed at boosting the capacity of service providers in network countries, these were limited. Most innovation approaches were similar to pre-existing maternal health approaches, adopted from an era preceding the QCN. Nevertheless, there was evidence that QCN improved their functionality. We provide evidence of how learning, sharing, and innovation among and within countries can be fostered for improving maternal and child health; and limitations. This understanding may help country efforts to achieve targets for ending preventable maternal and neonatal deaths.

Evaluating the impact, implementation experience and political economy of primary care networks in Kenya: protocol for a mixed methods study

BACKGROUND

Primary care networks (PCNs) are increasingly being adopted in low- and middle-income countries (LMICs) to improve the delivery of primary health care (PHC). Kenya has identified PCNs as a key reform to strengthen PHC delivery and has passed a law to guide its implementation. PCNs were piloted in two counties in Kenya in 2020 and implemented nationally in October 2023. This protocol outlines methods for a study that examines the impact, implementation experience and political economy of the PCN reform in Kenya.

METHODS

We will adopt the parallel databases variant of convergent mixed methods study design to concurrently but separately collect quantitative and qualitative data. The two strands will be mixed during data collection to refine questions, with findings triangulated during analysis and interpretation to provide a comprehensive understanding of PCN implementation. The quantitative study will use a controlled before and after study design and collect data using health facility and client exit surveys. The primary outcome measure will be the service delivery readiness of PHC facilities. We will use a random sample of 228 health facilities and 2560 clients in four currently implementing PCNs, four planning to implement and four control counties at baseline and post-implementation. We shall undertake a preliminary cross-sectional analysis of the data at baseline from October to December 2023, followed by a difference-in-difference analysis at the endline from October to December 2024 to compare the outcome differences between the intervention and control counties over a 12-month period. The qualitative study will include a cross-sectional process evaluation and political economy analysis (PEA) using document reviews and approximately 80 in-depth interviews with national and sub-national stakeholders. The process evaluation will assess the emergence of PCN reforms, the implementation experience, the mechanism of impact and how the context affects implementation and outcomes. The PEA will examine the interaction of structural factors, institutions and actors/stakeholders' interests and power relations in implementing PCNs. We will also examine the gendered effects of the PCNs, including power relations and norms, and their implications on PHC from the supply and demand sides. We shall undertake a thematic analysis of the qualitative data.

DISCUSSION

This evaluation will contribute robust evidence on the impact, implementation experience, political economy and gendered implications of PCNs in a LMIC setting, as well as guide the refining of PCN implementation in Kenya and other LMICs implementing or planning to implement PCNs to enhance their effectiveness.

Risk factors associated with neonatal mortality among neonates admitted to neonatal intensive care unit of the University Teaching Hospital in Lusaka

Globally, several children die shortly after birth and many more of them within the first 28 days of life. Sub-Sharan Africa accounts for almost half (43%) of the global neonatal death with slow progress in reduction. These neonatal deaths are associated with lack of quality care at or immediately after birth and in the first 28 days of life. This study aimed to determine the trends and risk factors of facility-based neonatal mortality in a major referral hospital in Lusaka, Zambia. We conducted retrospective analysis involving all neonates admitted in the University Teaching Hospital Neonatal Intensive Care Unit (UTH-NICU) in Lusaka from January 2018 to December 2019 (N = 2340). We determined the trends and assessed the factors associated with facility-based neonatal mortality using Generalized Linear Models (GLM) with a Poisson distribution and log link function. Overall, the facility-based neonatal mortality was 40.2% (95% CI 38.0-42.0) per 1000 live births for the 2-year period with a slight decline in mortality rate from 42.9% (95% CI 40.0-46.0) in 2018 to 37.3% (95% CI 35.0-40.0) in 2019. In a final multivariable model, home delivery (ARR: 1.70, 95% CI 1.46-1.96), preterm birth (ARR: 1.59, 95% CI 1.36-1.85), congenital anomalies (ARR: 1.59, 95% CI 1.34-1.88), low birthweight (ARR: 1.57, 95% CI 1.37-1.79), and health centre delivery (ARR: 1.48, 95% CI 1.25-1.75) were independently associated with increase in facility-based neonatal mortality. Conversely, hypothermia (ARR: 0.36, 95% CI 0.22-0.60), antenatal attendance (ARR: 0.76, 95% CI 0.68-0.85), and 1-day increase in neonatal age (ARR: 0.96, 95% CI 0.95-0.97) were independently associated with reduction in facility-based neonatal mortality. In this hospital-based study, neonatal mortality was high compared to the national and global targets. The improvement in neonatal survival observed in this study may be due to interventions including Kangaroo mother care already being implemented. Early identification and interventions to reduce the impact of risks factors of neonatal mortality in Zambia are important.

Identifying barriers to the production and use of routine health information in Western Province, Zambia

Recent decades of improvements to routine health information systems in low- and middle-income countries (LMICs) have increased the volume of health data collected. However, countries continue to face several challenges with quality production and use of information for decision-making at sub-national levels, limiting the value of health information for policy, planning and research. Improving the quality of data production and information use is thus a priority in many LMICs to improve decision-making and health outcomes. This qualitative study identified the challenges of producing and using routine health information in Western Province, Zambia. We analysed the interview responses from 37 health and social sector professionals at the national, provincial, district and facility levels to understand the barriers to using data from the Zambian health management information system (HMIS). Respondents raised several challenges that we categorized into four themes: governance and health system organization, geographic barriers, technical and procedural barriers, and challenges with human resource capacity and staff training. Staff at the facility and district levels were arguably the most impacted by these barriers as they are responsible for much of the labour to collect and report routine data. However, facility and district staff had the least authority and ability to mitigate the barriers to data production and information use. Expectations for information use should therefore be clearly outlined for each level of the health system. Further research is needed to understand to what extent the available HMIS data address the needs and purposes of the staff at facilities and districts.

Strengthening systems to provide long-acting reversible contraceptives (LARCs) in public sector health facilities in Uganda and Zambia: Program results and learnings

INTRODUCTION

In Uganda and Zambia, both supply- and demand-side factors hamper availability of long-acting reversible contraceptives (LARCs), including implants and intrauterine devices (IUDs), at public sector facilities. This paper discusses results of a program aimed at increasing access to and uptake of LARC services in public sector facilities through capacity building of government health workers, strengthening government supply chains, and client mobilization.

METHODS

From 2018-2021, the Ministries of Health (MOHs) in Uganda and Zambia and Clinton Health Access Initiative (CHAI) worked to increase readiness to provide LARC services within 51 focal facilities in Uganda and 85 focal facilities in Zambia. Annual facility assessments of LARC-related resources were conducted and routine service delivery data were monitored.

RESULTS

At baseline, few focal facilities had supplies and skilled staff to provide LARC services. At endline, over 90% of focal facilities in both countries had a provider trained to provide both implants and IUDs and 55% had the commodities and equipment needed for implant provision. In Uganda and Zambia, respectively, 65% and 38% of focal facilities had commodities and equipment for IUD provision at endline. Both programs observed significant increases in the number of implants provided at focal facilities; in Uganda implant volumes increased five-fold from 4,560 at baseline to 23,463 at endline, and in Zambia implant volumes increased nearly four-fold from 1,884 at baseline to 7,394 at endline. Uganda did not observe growth in IUD volumes, whereas Zambia observed significantly increased IUD service volumes from 251 at baseline to 3,866 at endline.

CONCLUSIONS

Public sector facilities can be rapidly and sustainably capacitated to provide LARCs when both catalytic and systems strengthening interventions are deployed for health worker capacity building, supply chain management, and community mobilization to ensure client flow. Investments should be intentionally sequenced and coordinated to generate a virtuous cycle that enables continued LARC service provision.