The Network for Improving Quality of Care for Maternal, Newborn and Child Health (QCN) is intended to facilitate learning, action, leadership and accountability for improving quality of care in member countries. This requires legitimacy—a network’s right to exert power within national contexts. This is reflected, for example, in a government’s buy-in and perceived ownership of the work of the network. During 2019–2022 we conducted iterative rounds of stakeholder interviews, observations of meetings, document review, and hospital observations in Bangladesh, Ethiopia, Malawi, Uganda and at the global level. We developed a framework drawing on three models: Tallberg and Zurn which conceptualizes legitimacy of international organisations dependent on their features, the legitimation process and beliefs of audiences; Nasiritousi and Faber, which looks at legitimacy in terms of problem, purpose, procedure, and performance of institutions; Sanderink and Nasiritousi, to characterize networks in terms of political, normative and cognitive interactions. We used thematic analysis to characterize, compare and contrast institutional interactions in a cross-case synthesis to determine salient features. Political and normative interactions were favourable within and between countries and at global level since collective decisions, collaborative efforts, and commitment to QCN goals were observed at all levels. Sharing resources and common principles were not common between network countries, indicating limits of the network. Cognitive interactions—those related to information sharing and transfer of ideas—were more challenging, with the bi-directional transfer, synthesis and harmonization of concepts and methods, being largely absent among and within countries. These may be required for increasing government ownership of QCN work, the embeddedness of the network, and its legitimacy. While we find evidence supporting the legitimacy of QCN from the perspective of country governments, further work and time are required for governments to own and embed the work of QCN in routine care.

Better policies, investments, and programs are needed to improve the integration and quality of maternal, newborn, and child health services. Previously, partnerships and collaborations that involved multiple countries with a unified aim have been observed to yield positive results. Since 2017, the WHO and partners have hosted the Quality of Care Network [QCN], a multi-country implementation network focused on improving maternal, neonatal, and child health care. In this paper, we examine the functionality of QCN in different contexts. We focus on implementation circumstances and contexts in four network countries: Bangladesh, Ethiopia, Malawi, and Uganda. In each country, the study was conducted over several consecutive rounds between 2019–2022, employing 227 key informant interviews with major stakeholders and members of the network countries, and 42 facility observations. The collected data were coded using Nvivo-12 software and categorized thematically. The study showed that individual, organizational and system-level circumstances all played an important role in shaping implementation success in network countries, but that these levels were inter-linked. Systems that enabled leadership, motivated and trained staff, and created a positive culture of data use were critical for policy-making including addressing financing issues—to the day-to-day practice improvement at the front line. Some characteristics of QCN actively supported this, for example, shared learning forums for continuous learning, a focus on data and tracking progress, and emphasising the importance of coordinated efforts towards a common goal. However, inadequate system financing and capacity also hampered network functioning, especially in the face of external shocks.

In low and middle‐income countries, addressing maternal and child nutrition needs is crucial. Prenatal multiple micronutrient supplementation (MMS) holds promise in reducing low birthweight and preterm births. Ethiopia is considering a transition from the provision of iron‐folate supplementation to the provision of MMS in antenatal care, guided by WHO guidelines. This paper explores stakeholders' early perceptions and experiences in piloting that transition in five Ethiopian regions, informing decision making about future policy and scale‐up. We used a qualitative study involving interviews and document reviews to assess the MMS pilot, analyzing themes with Nvivo 12 software. Key informant interviews revealed challenges such as supply chain issues and funding constraints, along with proposed improvement strategies such as closer coordination within existing structures. The importance of engaging with communities to create demand was emphasized, as was the need for capacity‐building efforts utilizing existing staff in the health system with a clear plan for ongoing refresher training. Finally, enhancing the monitoring and evaluation framework, including a dedicated regional team for supportive supervision, was vital for accountability. In conclusion, prioritizing supply chain strengthening, community engagement through demand creation, coordination, and continuous capacity building for healthcare workers were thought to be crucial for the MMS program's success.Trial Registration: ClinicalTrials.gov Identifier: NCT05708183 Registered 01 February 2023—Retrospectively registered, https://classic.clinicaltrials.gov/ct2/show/NCT05708183.

The Network for Improving Quality of Care for Maternal, Newborn and Child Health (QCN) is intended to facilitate learning, action, leadership and accountability for improving quality of care in member countries. This requires legitimacy—a network’s right to exert power within national contexts. This is reflected, for example, in a government’s buy-in and perceived ownership of the work of the network. During 2019– 2022 we conducted iterative rounds of stakeholder interviews, observations of meetings, document review, and hospital observations in Bangladesh, Ethiopia, Malawi, Uganda and at the global level. We developed a framework drawing on three frameworks: Tallberg and Zurn which conceptualizes legitimacy of international organisations dependent on their features, the legitimation process and beliefs of audiences; Nasiritousi and Faber, which looks at legitimacy in terms of problem, purpose, procedure, and performance of institutions; Sanderink and Nasiritousi, to characterize networks in terms of political, normative and cognitive interactions. We used thematic analysis to characterize, compare and contrast institutional interactions in a cross-case synthesis to determine salient features. Political and normative interactions were favourable within and between countries and at global level since collective decisions, collaborative efforts, and commitment to QCN goals were observed at all levels. Sharing resources and common principles were not common between network countries, indicating limits of the network. Cognitive interactions—those related to information sharing and transfer of ideas— were more challenging, with the bi-directional transfer, synthesis and harmonization of concepts and methods, being largely absent among and within countries. These may be required for increasing government ownership of QCN work, the embeddedness of the network, and its legitimacy. While we find evidence supporting the legitimacy of QCN from the perspective of country governments, further work and time are required for governments to own and embed the work of QCN in routine care.

Better policies, investments, and programs are needed to improve the integration and quality of maternal, newborn, and child health services. Previously, partnerships and collaborations that involved multiple countries with a unified aim have been observed to yield positive results. Since 2017, the WHO and partners have hosted the Quality of Care Network [QCN], a multi-country implementation network focused on improving maternal, neonatal, and child health care. In this paper we examine the functionality of QCN in different contexts. We focus on implementation capacities and contexts in four network countries: Bangladesh, Ethiopia, Malawi, and Uganda. In each country, the study was conducted over several consecutive rounds between 2019-2022, employing 227 key informant interviews with major stakeholders and members of the network countries, and 42 facility observations. The collected data were coded using Nvivo-12 software and categorized thematically. The study showed that individual, organizational and system-level capacities, and circumstances all played an important role in shaping implementation success in network countries, but that these levels were inter-linked. Across all levels, systems that enabled leadership, motivated and trained staff, and created a positive culture of data use were critical – from the policy making arena including addressing financing issues - to the day-to-day practice improvement at the front line. Some characteristics of QCN actively supported these levels, for example shared learning forums for continuous learning, a focus on data and tracking progress, and emphasising the importance of coordinated efforts towards a common goal. However, inadequate system financing and capacity also hampered network functioning, especially in the face of external shocks.

Effective coverage measurement has emerged as a tool to help understand health system performance for the provision of high-quality health care. Using a cascade approach that combines data on demand- and supply-side steps, effective coverage measures highlight where gaps in the health system exist and how improvements might be made so that more people benefit from the potential of the health services available to them. In practice, however, there are challenges in making this work. This analysis paper aimed to highlight those challenges in calculating effective coverage in Ethiopia, using antenatal care as a test case, and propose a solution. In Ethiopia, government leaders are committed to taking a data-informed approach to improving health care quality. To support this, an effective coverage technical working group was formed of individuals with experience of effective coverage analysis in Ethiopia to share knowledge and create learning for a way forward. Through methods analysis of one common indicator, the effective coverage of antenatal care, four key challenges were identified by the group: (1) features of the data sources used, (2) the number of cascade steps included in the effective coverage calculations, (3) the data elements included within cascade steps and (4) the methods applied to generate composite indicators. Multiple small differences were observed to have an influence on the usability of effective coverage measures for decision-making. The group concluded that greater transparency in reporting effective coverage measures was urgently needed and proposed and discussed the use of a reporting checklist for this purpose.