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Background: The global nutrition community has called for a multisectoral approach to improve nutritional outcomes. While most essential nutrition interventions are delivered through the health system, nutrition-sensitive interventions from other sectors are critical. Objective: We modeled the potential impact that Scaling Up Nutrition (SUN) interventions delivered by the health system would have on reaching World Health Assembly (WHA) stunting targets. We also included results for targets 2, 3, and 5. Methods: Using all available countries enrolled in the SUN movement, we identified nutrition interventions that are delivered by the health system available in the Lives Saved Tool. We then scaled these interventions linearly from 2012 up to nearly universal coverage (90%) in 2025 and estimated the potential impact that this increase would have with regard to the WHA targets. Results: Our results show that only 16 countries out of 56 would reach the 40% reduction in the number of stunted children by 2025, with a combined total reduction of 32% across all countries. Similarly, only 2 countries would achieve the 50% reduction in anemia for women of reproductive age, 41 countries would reach at least 50% exclusive breastfeeding in children under 6 months of age, and 0 countries would reach the 30% reduction in low birth weight. Conclusions: While the health system has an important role to play in the delivery of health interventions, focusing investments and efforts on the health system alone will not allow countries to reach the WHA targets by 2025. Concerted efforts across multiple sectors are necessary.

Summary Background While the COVID-19 pandemic will increase mortality due to the virus, it is also likely to increase mortality indirectly. In this study, we estimate the additional maternal and under-5 child deaths resulting from the potential disruption of health systems and decreased access to food. Methods We modelled three scenarios in which the coverage of essential maternal and child health interventions is reduced by 9·8–51·9% and the prevalence of wasting is increased by 10–50%. Although our scenarios are hypothetical, we sought to reflect real-world possibilities, given emerging reports of the supply-side and demand-side effects of the pandemic. We used the Lives Saved Tool to estimate the additional maternal and under-5 child deaths under each scenario, in 118 low-income and middle-income countries. We estimated additional deaths for a single month and extrapolated for 3 months, 6 months, and 12 months. Findings Our least severe scenario (coverage reductions of 9·8–18·5% and wasting increase of 10%) over 6 months would result in 253 500 additional child deaths and 12 200 additional maternal deaths. Our most severe scenario (coverage reductions of 39·3–51·9% and wasting increase of 50%) over 6 months would result in 1 157 000 additional child deaths and 56 700 additional maternal deaths. These additional deaths would represent an increase of 9·8–44·7% in under-5 child deaths per month, and an 8·3–38·6% increase in maternal deaths per month, across the 118 countries. Across our three scenarios, the reduced coverage of four childbirth interventions (parenteral administration of uterotonics, antibiotics, and anticonvulsants, and clean birth environments) would account for approximately 60% of additional maternal deaths. The increase in wasting prevalence would account for 18–23% of additional child deaths and reduced coverage of antibiotics for pneumonia and neonatal sepsis and of oral rehydration solution for diarrhoea would together account for around 41% of additional child deaths. Interpretation Our estimates are based on tentative assumptions and represent a wide range of outcomes. Nonetheless, they show that, if routine health care is disrupted and access to food is decreased (as a result of unavoidable shocks, health system collapse, or intentional choices made in responding to the pandemic), the increase in child and maternal deaths will be devastating. We hope these numbers add context as policy makers establish guidelines and allocate resources in the days and months to come. Funding Bill & Melinda Gates Foundation, Global Affairs Canada.

Background The need for evidence-based decision-making in the health sector is well understood in the global health community. Yet, gaps persist between the availability of evidence and the use of that evidence. Most research on evidence-based decision-making has been carried out in higher-income countries, and most studies look at policy-making rather than decision-making more broadly. We conducted this study to address these gaps and to identify challenges and facilitators to evidence-based decision-making in Maternal, Newborn and Child Health and Nutrition (MNCH&N) at the municipality, district, and national levels in Mozambique. Methods We used a case study design to capture the experiences of decision-makers and analysts (n = 24) who participated in evidence-based decision-making processes related to health policies and interventions to improve MNCH&N in diverse decision-making contexts (district, municipality, and national levels) in 2014–2017, in Mozambique. We examined six case studies, at the national level, in Maputo City and in two districts of Sofala Province and two of Zambézia Province, using individual in-depth interviews with key informants and a document review, for three weeks, in July 2018. Results Our analysis highlighted various challenges for evidence-based decision-making for MNCH&N, at national, district, and municipality levels in Mozambique, including limited demand for evidence, limited capacity to use evidence, and lack of trust in the available evidence. By contrast, access to evidence, and availability of evidence were viewed positively and seen as potential facilitators. Organizational capacity for the demand and use of evidence appears to be the greatest challenge; while individual capacity is also a barrier. Conclusion Evidence-based decision-making requires that actors have access to evidence and are empowered to act on that evidence. This, in turn, requires alignment between those who collect data, those who analyze and interpret data, and those who make and implement decisions. Investments in individual, organizational, and systems capacity to use evidence are needed to foster practices of evidence-based decision-making for improved maternal and child health in Mozambique.

Introduction: Mozambique’s Community Health Worker (CHW) or Agentes Polivalentes Elementares in Portuguese (APE) in Mozambique was reinitiated in 2010 after an unsuccessful first attempt decades prior. Years after this reinitialization, the Ministry of Health of Mozambique (MoH) and other interested parties sought to understand how the implementation of APEs interventions is progressing. Given its low coverage of many health intervention, the province of Zambézia was of specific interest.Methodology: We carried out a cross-sectional study in six districts of the Province of Zambézia, namely: Ile, Inhassunge, Milange, Mocubela, Mulevala and Pebane. We designed a questionnaire based on government plans, APE training material, and best practices for the implementation of CHW programs found in the literature. We conducted descriptive analysis to summarize the different components of the APEs program according to responses.Results: A total of 144 APEs were interviewed, of which 67% were male, 63% aged between 18 to 39 years, 60% had a first cycle of education and 46% had worked as APEs for 5 or more years. While 91% reported having received training after their initial training, only 19% had received training in the past 3 months. Only 48% of APEs replenished their kits every month, and stock-outs of medications ranged from 19% to 92%, with expired medication being found for 5-13% of the medications. Although the quality of supervision appears high with APEs reporting service delivery observation (88%), discussion of work performance (81%) and work-related problems (91%), checking of supplies (90%), review of records (93%), and praise (92%) during their last supervision, only 59% of our sample reported having had their last meeting with their supervisor less than 1 month ago.Conclusions: While there have been some successes in this renewed implementation, challenges persist around ensuring the proper implementation of the program as it is designed. Additionally, a review of the program to match the current realities of field (e.g., increased population per APE, increase of the stipends) is becoming increasingly necessary.

Introduction: We need to understand the continued concerns and acceptability of COVID-19 vaccines within marginalized communities in the United States. Our study explores the concerns and acceptability of COVID-19 vaccines, by language group, at a Federally Qualified Health Center (FQHC) in Rhode Island. Methods: We conducted an exploratory, mixed data collection telephone survey in languages spoken in the community (Spanish, Cape Verdean (CV) Creole/Portuguese, and English). Participants were asked about their COVID-19 vaccination status, as well as vaccine concerns and acceptability via 9 closed-ended and 2 open-ended questions. Chi squared and multivariate analysis was used to compare concerns and acceptability across languages. Coding and immersion/crystallization techniques were used to identify qualitative data themes. Results: The overall response rate was 58%. Side effects were cited as the most frequent (66%) concern among all language groups. Concern about the speed of vaccine development, vaccine ingredients, and being in a research trial varied significantly by language. Qualitative findings included concerns about chronic medical conditions and generalized fear of vaccine safety. English speakers were the most likely to report concerns and CV Creole/Portuguese speakers were the least likely to report concerns about the vaccine. Spanish and CV Creole/Portuguese participants who were not yet vaccinated reported higher acceptability to receive the vaccine compared to English speakers, with odds ratios of 2.00 (95% CI: 1.00-4.00) and 1.27 (95% CI: 0.62-2.60), respectively. Conclusion: To mitigate the effects of the COVID-19 pandemic and prepare for future pandemics, strategies must be based on understanding the beliefs and perceptions of marginalized communities.

Malnutrition—both undernutrition and overnutrition—is a public health concern worldwide and particularly in low‐ and middle‐income countries (LMICs). The education sector has high potential to improve immediate nutrition outcomes by providing food in schools and to have more long‐term impact through education. We developed a conceptual framework to show how the education sector can be leveraged for nutrition. We reviewed the literature to identify existing frameworks outlining how nutrition programs can be delivered by and through the education sector and used these to build a comprehensive framework. We first organized nutrition programs in the education sector into (1) school food, meals, and food environment; (2) nutrition and health education; (3) physical activity and education; (4) school health services; and (5) water, sanitation, and hygiene (WASH) sector. We then discuss how each one can be successfully implemented. We found high potential in improving nutrition standards and quality of school foods, meals and food environment, especially through collaboration with the agriculture sector. There is a need for well‐integrated, culturally appropriate nutrition and health education into the existing school curriculum. This must be supported by a skilled workforce—including nutrition and public health professionals and school staff. Parental and community engagement is cornerstone for program sustainability and success. Current monitoring and evaluation of nutrition programming in schools is weak, and effectiveness, including cost‐effectiveness, of interventions is not yet adequately quantified. Finally, we note that opportunities for leveraging the education sector in the fight against rising overweight and obesity rates are under‐researched and likely underutilized in LMICs.

Background: The COVID-19 pandemic has had wide-reaching direct and indirect impacts on population health. We describe one of the most critical of these secondary consequences, the decrease in the utilization of health services and the resulting consequences for mortality. In low- and middle-income countries, these disruptions can halt progress towards reducing maternal and child mortality. Methods: Data on service utilization from January 2018 to June 2021 is extracted from health management information systems of 18 low- and lower-middle-income countries. Interrupted time series design is used to estimate percent change in the volumes of essential health services delivered during the pandemic compared to projected volumes based on pre-pandemic trends. The Lives Saved Tool mathematical model is used to estimate the impact of the service utilization disruptions on child and maternal mortality. In addition, the estimated monthly disruptions are also correlated to the COVID-19 burden, time since the start of the pandemic, and relative severity of mobility restrictions. Findings: We estimate that decreases in essential health service utilization between March 2020 and June 2021 led to 113,873 additional deaths in the 18 countries, representing 3.8% and 1.4% increases in child and maternal mortality, respectively. This corresponds to an average of 2.6 indirect deaths per COVID-19 death officially reported in the same period. This excess mortality results from the decline in utilization of the RMNCH services included in the analysis, but the utilization shortfalls vary substantially between countries, health services, and over time. The largest disruptions, resulting in 27.5% of the excess death, occurred during the second quarter of 2020, regardless of whether countries experienced the highest rate of COVID-19-related deaths during the same months. There is a significant relationship between the magnitude of service disruptions and the stringency of mobility restrictions. Interpretation: Large declines in health care utilization during the COVID-19 pandemic amplify the pandemic's harmful impacts on health outcomes. As efforts and resource allocation towards prevention and treatment of COVID-19 continue, essential health services must be maintained, particularly in low and middle-income countries. Funding: The Global Financing Facility for Women, Children, and Adolescents. Declaration of Interests: We declare no competing interests.

Addressing malnutrition requires strategies that are comprehensive and multi‐sectoral. Within a multi‐sectoral approach, the health system is essential to deliver 10 nutrition‐specific interventions, which, if scaled up, could substantially reduce under‐5 deaths in high‐burden countries through improving maternal and child undernutrition. This study identifies the health system components required for the effective delivery of these interventions, highlighting opportunities and challenges for nutrition programmes and policies. We reviewed implementation guidance for each nutrition‐specific intervention, mapping the delivery process for each intervention and determining the health system components required for their delivery. We integrated the components into a single health systems framework for nutrition, illustrating the pathways by which health system components influence household‐level determinants of nutrition and individual‐level health outcomes. Nutrition‐specific interventions are typically delivered in one of four ways: (i) when nutrition interventions are intentionally sought out, (ii) when care is sought for other, unrelated interventions, (iii) at a health facility after active community case finding and referral, and (iv) in the community after active community case finding. A health system enables these processes by providing health services and facilitating care seeking for services, which together require a skilled and motivated health workforce, an effective supply chain, demand for services and access to services. The nutrition community should consider the processes by which nutrition‐specific interventions are delivered and the health system components required for their success. Programmes should encourage the delivery of nutrition interventions at every client–provider interaction and should actively generate demand for services—in general, and for nutrition services specifically.

Background: While the coronavirus pandemic will increase mortality due to COVID-19, the indirect effects of the pandemic will likely increase mortality from oth

Background Modeling tools have potential to aid decision making for program planning and evaluation at all levels, but are still largely the domain of technical experts, consultants, and global-level staff. One model that can improve decision making for maternal and child health is the Lives Saved Tool (LiST). We examined respondents’ perceptions of LiST’s strengths and weaknesses, to identify ways in which LiST – and similar modeling tools – can adapt to be more accessible and helpful to policy makers. Methods We interviewed 21 purposefully sampled LiST users. First, we identified the characteristics that respondents explicitly stated, or implicitly implied, were important in a modeling tool, and then used these results to create a framework for reviewing a modeling tool. Second, we used this framework to categorize the strengths and weaknesses of LiST that respondents articulated. Results Two overarching qualities were important to respondents: usability and accuracy. For some users, LiST already meets these criteria: it allows for customized input parameters to increase specificity; the interface is intuitive; the assumptions and calculations are scientifically sound; and the standard metric of “additional lives saved” is understood and comparable across settings. Other respondents had different views, although their complaints were typically not that the tool is unusable or inaccurate, but that aspects of the tool could be better explained or easier to understand. Conclusion Government and agency staff at all levels should be empowered to use the data available to them, including the use of models to make full use of these data. For this, we need tools that meet a threshold of both accuracy, so results clarify rather than mislead, and usability, so tools can be used readily and widely, not just by select experts. With these ideals in mind, there are ways in which LiST might continue to be improved or adapted to further advance its uptake and impact. Electronic supplementary material The online version of this article (10.1186/s12889-017-4751-4) contains supplementary material, which is available to authorized users.

Background Despite substantial investment in women’s health over the past two decades, and enthusiastic government support for MDG 5 and SDG 3, health indicators for women in Mozambique remain among the lowest in the world. Maternal mortality stayed constant from 2003 to 2011, with an MMR of 408; the estimated HIV prevalence for women of 15–24 years is over twice that for men; and only 12.1% of women are estimated to be using modern contraception. This study explores the perspectives of policy makers in the Mozambican health system and affiliates on the challenges that are preventing Mozambique from achieving greater gains in women’s health. Methods We conducted in-depth interviews with 39 senior- and mid-level policy makers in the Ministry of Health and affiliated institutions (32 women, 7 men). Participants were sampled using a combination of systematic random sampling and snowball sampling. Participants were asked about their experiences formulating and implementing health policies and programs, what is needed to improve women’s health in Mozambique, and the barriers and opportunities to achieving such improvement. Results Participants unanimously argued that women’s health is already sufficiently prioritized in national health policies and strategies in Mozambique; the problem, rather, is the implementation and execution of existing women’s health policies and programs. Participants raised challenges related to the policy making process itself, including an ever-changing, fragmented decision-making process, lack of long-term perspective, weak evaluation, and misalignment of programs across sectors. The disproportionate influence of donors was also mentioned, with lack of ownership, rapid transitions, and vertical programming limiting the scope for meaningful change. Finally, participants reported a disconnect between policy makers at the national level and realities on the ground, with poor dissemination of strategies, limited district resources, and poor consideration of local cultural contexts. Conclusions To achieve meaningful gains in women’s health in Mozambique, more focus must be placed on resolving the bottleneck that is the implementation of existing policies. Barriers to implementation exist across multiple health systems components, therefore, solutions to address them must also reach across these multiple components. A holistic approach to strengthening the health system across multiple sectors and at multiple levels is needed.

Background Over the past 20 years, Mozambique has achieved substantial reductions in maternal, neonatal, and child mortality. However, mortality rates are still high, and to achieve the Sustainable Development Goals (SDGs) for maternal and child health, further gains are needed. One technique that can guide policy makers to more effectively allocate health resources is to model the coverage increases and lives saved that would be achieved if trends continue as they have in the past, and under differing alternative scenarios. Methods We used historical coverage data to project future coverage levels for 22 child and maternal interventions for 2015-2030 using a Bayesian regression model. We then used the Lives Saved Tool (LiST) to estimate the additional lives saved by the projected coverage increases, and the further child lives saved if Mozambique were to achieve universal coverage levels of selected individual interventions. Results If historical trends continue, coverage of all interventions will increase from 2015 to 2030. As a result, 180 080 child lives (0-59 months) and 3640 maternal lives will be saved that would not be saved if coverage instead stays constant from 2015 to 2030. Most child lives will be saved by preventing malaria deaths: 40.9% of the mortality reduction will come from increased coverage of artemisinin-based compounds for malaria treatment (ACTs) and insecticide treated bednets (ITNs). Most maternal lives will be saved from increased labor and delivery management (29.4%) and clean birth practices (17.1%). The biggest opportunity to save even more lives, beyond those expected by historical trends, is to further invest in malaria treatment. If coverage of ACTs was increased to 90% in 2030, rather than the anticipated coverage of 68.4% in 2030, an additional 3456 child lives would be saved per year. Conclusions Mozambique can expect to see continued reductions in mortality rates in the coming years, although due to population growth the absolute number of child deaths will decrease only marginally, the absolute number of maternal deaths will continue to increase, and the country will not achieve current SDG targets for either child or maternal mortality. Significant further health investments are needed to eliminate all preventable child and maternal deaths in the coming decades.

Background As one of several countries that pledged to achieve the Millennium Development Goals (MDGs), Mozambique sought to reduce child, neonatal, and maternal mortality by two thirds by 2015. This study examines the impact of Mozambique’s efforts between 1997 and 2015, highlighting the increases in intervention coverage that contributed to saving the most lives. Methods A retrospective analysis of available household survey data was conducted using the Lives Saved Tool (LiST). Baseline mortality rates, cause-of-death distributions, and coverage of child, neonatal, and maternal interventions were entered as inputs. Changes in mortality rates, causes of death, and additional lives saved were calculated as results. Due to limited coverage data for the year 2015, we reported most results for the period 1997-2011. For 2011-2015 we reported additional lives saved for a subset of interventions. All analyses were performed at national and provincial level. Results Our modelled estimates show that increases in intervention coverage from 1997 to 2011 saved an additional 422 282 child lives (0-59 months), 85 450 neonatal lives (0-1 month), and 6528 maternal lives beyond those already being saved at baseline coverage levels in 1997. Malaria remained the leading cause of child mortality from 1997 to 2011; prematurity, asphyxia, and sepsis remained the leading causes of neonatal mortality; and hemorrhage remained the leading cause of maternal mortality. Interventions to reduce acute malnutrition and promote artemisinin-based combination therapy (ACT) for malaria were responsible for the largest number of additional child lives saved in the 1997-2011 period. Increases in coverage of delivery management were responsible for most additional newborn and maternal lives saved in both periods in Mozambique. Conclusion Mozambique has made impressive gains in reducing child mortality since 1997. Additional effort is needed to further reduce maternal and neonatal mortality in all provinces. More lives can be saved by continuing to increase coverage of existing health interventions and exploring new ways to reach underserved populations.

Most countries in sub-Saharan Africa have now adopted integrated community case management (iCCM) of common childhood illnesses as a strategy to improve child health. In March 2014, the iCCM Task Force published an Indicator Guide for Monitoring and Evaluating iCCM: a 'menu' of recommended indicators with globally agreed definitions and methodology, to guide countries in developing robust iCCM monitoring systems. The Indicator Guide was conceived as an evolving document that would incorporate collective experience and learning as iCCM programmes themselves evolve. This article presents findings from two studies that examined the feasibility of collecting the Indicator Guide's 18 routine monitoring indicators with the iCCM monitoring systems that countries currently have in place. We reviewed iCCM monitoring tools, protocols and reports from a purposive sample of 10 countries in sub-Saharan Africa. We developed a scorecard system to assess which of the Indicator Guide's 18 routine monitoring indicators could be calculated with the given monitoring tools, and at which level of the health system the relevant information would be available. We found that the data needed to calculate many of the Indicator Guide's routine monitoring indicators are already being collected through existing monitoring systems, although much of these data are only available at health facility level and not aggregated to district or national levels. Our results highlight challenge of using supervision checklists as a data source, and the need for countries to maintain accurate deployment data for CHWs and CHW supervisors. We suggest that some of the recommended indicators need revising. Routine monitoring will be more feasible, effective and efficient if iCCM programmes focus on a smaller set of high-value indicators that are easy to measure, reliably interpreted and useful both for global and national stakeholders and for frontline health workers themselves.

Background Achieving significant female representation in government at decision-making levels has been identified as a key step towards achieving gender equality. In 2015, women held 39.6% of parliamentary seats in Mozambique, which is above the benchmark of 30% that has been suggested as the turning point for minority representation to move from token status to having a sizable impact. We undertook a study to identify gender-related barriers and facilitators to improving women-centered policies in the health sector. Methods We conducted in-depth interviews with 39 individuals (32 women, 7 men) involved at a senior level in policy making or implementation of woman-centric policies within the Mozambique Ministry of Health and affiliated institutions. We used a semi-structured interview guide that included questions on difficulties and facilitating factors encountered in the policy making process, and the perceived role of gender in this process. We used both deductive and inductive analysis approaches, starting with a set of pre-identified themes and expanding this to include themes that emerged during coding. Results Our data suggest two main findings: (1) the women who participated in our study generally do not report feeling discrimination in the workplace and (2) senior health sector perceive women to be more personally attuned to women-centric issues than men. Within our specific sample, we found little to suggest that gender discrimination is a problem professionally for female decision-makers in Mozambique. However, these findings should be contextualized using an intersectional lens with recognition of the important difference between descriptive versus substantive female representation, and whether “percentage of women” is truly the best metric for gaging commitment to gender equality at the policy making level. Conclusions Mozambique’s longstanding significant representation of women may have led to creating an environment that leads to positive experiences for female decision-makers in the government. However, while the current level of female representation should be celebrated, it does not negate the need for continued focus on female representation in decision-making positions.

Background The Lives Saved Tool (LiST) is a computer-based model that estimates the impact of scaling up key interventions to improve maternal, newborn and child health. Initially developed to inform the Lancet Child Survival Series of 2003, the functionality and scope of LiST have been expanded greatly over the past 10 years. This study sought to “take stock” of how LiST is now being used and for what purposes. Methods We conducted a quantitative survey of LiST users, qualitative interviews with a smaller sample of LiST users and members of the LiST team at Johns Hopkins University, and a literature review of studies involving LiST analyses. Results LiST is being used by donors, international organizations, governments, NGOs and academic institutions to assist program evaluation, inform strategic planning and evidenced-based decision-making, and advocate for high-impact interventions. Some organizations have integrated LiST into internal workflows and built in-house capacity for using LiST, while other organizations rely on the LiST team for support and to outsource analyses. In addition to being a popular stand-alone software, LiST is used as a calculation engine for other applications. Conclusions The Lives Saved Tool has been reported to be a useful model in maternal, newborn, and child health. With continued commitment, LiST should remain as a part of the international health toolkit used to assess maternal, newborn and child health programs. Electronic supplementary material The online version of this article (10.1186/s12889-017-4750-5) contains supplementary material, which is available to authorized users.

OBJECTIVES: The many factors underlying malnutrition highlight the need for nutrition strategies that are comprehensive and multi-sectoral. Within a multi-sectoral approach, the health system is uniquely placed to deliver ten nutrition-specific interventions, which, if scaled up, could substantially reduce under-5 deaths in high-burden countries (Bhutta et al, 2013). This study aims to clarify the role of key health system components, illuminating opportunities for increased uptake of nutrition-specific interventions and potential bottlenecks and challenges for programs and policies. METHODS: We reviewed existing nutrition frameworks to develop a comprehensive logic model illustrating the causal pathways by which health system components influence household-level determinants of nutrition and individual-level health outcomes. Concurrently, we reviewed literature on health and nutrition interventions that have a proven, quantifiable impact on morbidity and mortality in low- and middle-income countries. We mapped data from the gathered literature onto the logic model, allowing us to identify key causal pathways for the delivery of nutrition-specific interventions, and highlighting areas where evidence is lacking. RESULTS: There exists a large gap in the literature about how health system components influence the ability to delivery appropriate and high-quality nutrition care. Based on the nature of the intervention (i.e., supplement delivery, counselling, SAM/MAM management) several unique delivery pathways were identified and three common themes cut across all interventions: namely, the importance of a motivated and trained health workforce; reliable and efficient supply chains; and generating demand and increased care-seeking for nutrition interventions. Evidence from the broader health systems literature supports the importance of these three themes; however, this remains a research gap in the nutrition literature. CONCLUSIONS: Three core health system components - a health workforce, supply chain and demand generation - play a pivotal role in the delivery of nutrition interventions. A better understanding of these components in relation to nutrition, based on evidence, will help to improve the design and implementation of future nutrition programs. FUNDING SOURCES: Global Affairs Canada, under the project “Real Accountability: Data Analysis for Results”.

We conducted a prospective evaluation of the "Rapid Scale-Up" (RSU) program in Burkina Faso, focusing on the integrated community case management (iCCM) component of the program. We used a quasi-experimental design in which nine RSU districts were compared with seven districts without the program. The evaluation included documentation of program implementation, assessments of implementation and quality of care, baseline and endline coverage surveys, and estimation of mortality changes using the Lives Saved Tool. Although the program trained large numbers of community health workers, there were implementation shortcomings related to training, supervision, and drug stockouts. The quality of care provided to sick children was poor, and utilization of community health workers was low. Changes in intervention coverage were comparable in RSU and comparison areas. Estimated under-five mortality declined by 6.2% (from 110 to 103 deaths per 1,000 live births) in the RSU area and 4.2% (from 114 to 109 per 1,000 live births) in the comparison area. The RSU did not result in coverage increases or mortality reductions in Burkina Faso, but we cannot draw conclusions about the effectiveness of the iCCM strategy, given implementation shortcomings. The evaluation results highlight the need for greater attention to implementation of iCCM programs.

Background There are currently more people displaced by conflict than at any time since World War II. The profile of displaced populations has evolved with displacement increasingly occurring in urban and middle-income settings. Consequently, an epidemiological shift away from communicable diseases that have historically characterized refugee populations has occurred. The high prevalence of non-communicable diseases (NCDs) poses a challenge to in terms of provision of appropriate secondary and tertiary services, continuity of care, access to medications, and costs. In light of the increasing burden of NCDs faced by refugees, we undertook this study to characterize the prevalence of NCDs and better understand issues related to care-seeking for NCDs among Syrian refugees in non-camp settings in Jordan. Methods A cross-sectional survey of 1550 refugees was conducted using a multi-stage cluster design with probability proportional to size sampling to obtain a nationally representative sample of Syrian refugees outside of camps. To obtain information on chronic conditions, respondents were asked a series of questions about hypertension, cardiovascular disease, diabetes, chronic respiratory disease, and arthritis. Differences by care-seeking for these conditions were examined using chi-square and t-test methods and characteristics of interest were included in the adjusted logistic regression model. Results Among adults, hypertension prevalence was the highest (9.7 %, CI: 8.8–10.6), followed by arthritis (6.8 %, CI: 5.9–7.6), diabetes (5.3 %, CI: 4.6–6.0), chronic respiratory diseases (3.1 %, CI: 2.4–3.8), and cardiovascular disease (3.7 %, CI: 3.2, 4.3). Of the 1363 NCD cases, 84.7 % (CI: 81.6–87.3) received care in Jordan; of the five NCDs assessed, arthritis cases had the lowest rates of care seeking at 65 %, (CI:0–88, p = 0.005). Individuals from households in which the head completed post-secondary and primary education, respectively, had 89 % (CI: 22–98) and 88 % (CI: 13–98) lower odds of seeking care than those with no education (p = 0.028 and p = 0.037, respectively). Refugees in North Jordan were most likely to seek care for their condition; refugees in Central Jordan had 68 % (CI: 1–90) lower odds of care-seeking than those in the North (p = 0.047). Conclusion More than half of Syrian refugee households in Jordan reported a member with a NCD. A significant minority did not receive care, citing cost as the primary barrier. As funding limitations persist, identifying the means to maintain and improve access to NCD care for Syrian refugees in Jordan is essential.