A call for standardised age-disaggregated health data.

The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.

Changes in attitudes and behaviors supportive of maternal and newborn health in Ethiopia: an evaluative case study.

BACKGROUND: Ethiopia's high neonatal mortality rate led to the government's 2013 introduction of Community-Based Newborn Care (CBNC) to bring critical prevention and treatment interventions closer to communities in need. However, complex behaviors that are deeply embedded in social and cultural norms continue to prevent women and newborns from getting the care they need. A demand creation strategy was designed to create an enabling environment to support appropriate maternal, newborn, and child health (MNCH) behaviors and CBNC. We explored the extent to which attitudes and behaviors during the prenatal and perinatal periods varied by the implementation strength of the Demand Creation Strategy for MNCH-CBNC. METHODS: Using an embedded, multiple case study design, we purposively selected four kebeles (villages) from two districts with different levels of implementation strength of demand creation activities. We collected information from a total of 150 key stakeholders across kebeles using multiple qualitative methods including in-depth interviews, focus group discussions, and illness narratives; sessions were transcribed into English and coded using NVivo 10.0. We developed case reports for each kebele and a final cross-case report to compare results from high and low implementation strength kebeles. RESULTS: We found that five MNCH attitudes and behaviors varied by implementation strength. In high implementation strength kebeles women felt more comfortable disclosing their pregnancy early, women sought antenatal care (ANC) in the first trimester, families did not have fatalistic ideas about newborn survival, mothers sought care for sick newborns in a timely manner, and newborns received care at the health facility in less than an hour. We also found changes across all kebeles that did not vary by implementation strength, including male engagement during pregnancy and a preference for giving birth at a health facility. CONCLUSIONS: Findings suggest that a demand creation approach-combining participatory approaches with community empowering strategies-can promote shifts in behaviors and attitudes to support the health of mothers and newborns, including use of MNCH services. Future studies need to consider the most efficient level of intervention intensity to make the greatest impact on MNCH attitudes and behaviors.

Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.

BACKGROUND: Policymakers need regular high-quality coverage data on care around the time of birth to accelerate progress for ending preventable maternal and newborn deaths and stillbirths. With increasing facility births, routine Health Management Information System (HMIS) data have potential to track coverage. Identifying barriers and enablers faced by frontline health workers recording HMIS source data in registers is important to improve data for use. METHODS: The EN-BIRTH study was a mixed-methods observational study in five hospitals in Bangladesh, Nepal and Tanzania to assess measurement validity for selected Every Newborn coverage indicators. We described data elements required in labour ward registers to track these indicators. To evaluate barriers and enablers for correct recording of data in registers, we designed three interview tools: a) semi-structured in-depth interview (IDI) guide b) semi-structured focus group discussion (FGD) guide, and c) checklist assessing care-to-documentation. We interviewed two groups of respondents (January 2018-March 2019): hospital nurse-midwives and doctors who fill ward registers after birth (n = 40 IDI and n = 5 FGD); and data collectors (n = 65). Qualitative data were analysed thematically by categorising pre-identified codes. Common emerging themes of barriers or enablers across all five hospitals were identified relating to three conceptual framework categories. RESULTS: Similar themes emerged as both barriers and enablers. First, register design was recognised as crucial, yet perceived as complex, and not always standardised for necessary data elements. Second, register filling was performed by over-stretched nurse-midwives with variable training, limited supervision, and availability of logistical resources. Documentation complexity across parallel documents was time-consuming and delayed because of low staff numbers. Complete data were valued more than correct data. Third, use of register data included clinical handover and monthly reporting, but little feedback was given from data users. CONCLUSION: Health workers invest major time recording register data for maternal and newborn core health indicators. Improving data quality requires standardised register designs streamlined to capture only necessary data elements. Consistent implementation processes are also needed. Two-way feedback between HMIS levels is critical to improve performance and accurately track progress towards agreed health goals.

Operationalising health systems thinking: a pathway to high effective coverage.

BACKGROUND: The global health community has recognised the importance of defining and measuring the effective coverage of health interventions and their implementation strength to monitor progress towards global mortality and morbidity targets. Existing health system models and frameworks guide thinking around these measurement areas; however, they fall short of adequately capturing the dynamic and multi-level relationships between different components of the health system. These relationships must be articulated for measurement and managed to effectively deliver health interventions of sufficient quality to achieve health impacts. Save the Children's Saving Newborn Lives programme and EnCompass LLC, its evaluation partner, developed and applied the Pathway to High Effective Coverage as a health systems thinking framework (hereafter referred to as the Pathway) in its strategic planning, monitoring and evaluation. METHODS: We used an iterative approach to develop, test and refine thinking around the Pathway. The initial framework was developed based on existing literature, then shared and vetted during consultations with global health thought leaders in maternal and newborn health. RESULTS: The Pathway is a robust health systems thinking framework that unpacks system, policy and point of intervention delivery factors, thus encouraging specific actions to address gaps in implementation and facilitate the achievement of high effective coverage. The Pathway includes six main components - (1) national readiness; (2) system structures; (3) management capacity; (4) implementation strength; (5) effective coverage; and (6) impact. Each component is comprised of specific elements reflecting the range of facility-, community- and home-based interventions. We describe applications of the Pathway and results for in-country strategic planning, monitoring of progress and implementation strength, and evaluation. CONCLUSIONS: The Pathway provides a cohesive health systems thinking framework that facilitates assessment and coordinated action to achieve high coverage and impact. Experiences of its application show its utility in guiding strategic planning and in more comprehensive and effective monitoring and evaluation as well as its potential adaptability for use in other health areas and sectors.

Managing possible serious bacterial infection of young infants where referral is not possible: Lessons from the early implementation experience in Kushtia District learning laboratory, Bangladesh.

BACKGROUND: Serious infections account for 25% of global newborn deaths annually, most in low-resource settings where hospital-based treatment is not accessible or feasible. In Bangladesh, one-third of neonatal deaths are attributable to serious infection; in 2014, the government adopted new policy for outpatient management of danger signs indicating possible serious bacterial infections (PSBI) when referral was not possible. We conducted implementation research to understand what it takes for a district health team to implement quality outpatient PSBI management per national guidelines. METHODS: PSBI management was introduced as part of the Comprehensive Newborn Care Package in 2015. The study piloted this package through government health systems with limited partner support to inform scale-up efforts. Data collection included facility register reviews for cases seen at primary level facilities; facility readiness and provider knowledge and skills assessments; household surveys capturing caregiver knowledge of newborn danger signs and care-seeking for newborn illness; and follow-up case tracking, capturing treatment adherence and outcomes. Analysis consisted of descriptive statistics. RESULTS: Over the 15-month implementation period, 1432 young infants received care, of which 649 (45%) were classified as PSBI. Estimated coverage of care-seeking increased from 22% to 42% during the implementation period. Although facility readiness and providers' skills increased, providers' adherence to guidelines was not optimal. Among locally managed PSBI cases, 75% completed the oral antibiotic course and 15% received the fourth day follow-up. Care-seeking remained high among private providers (95%), predominantly village health doctors (over 80%). CONCLUSIONS: Facility readiness, including health care provider knowledge and skills were strengthened; future efforts should focus on improving provider adherence to guidelines. Social and behavior change strategies targeting families and communities should explore shifting care-seeking from private, possibly less-qualified providers. Strategies to improve private sector management of PSBI cases and improved linkages between private and public sector providers could be explored.

What is meant by validity in maternal and newborn health measurement? A conceptual framework for understanding indicator validation.

BACKGROUND: Rigorous monitoring supports progress in achieving maternal and newborn mortality and morbidity reductions. Recent work to strengthen measurement for maternal and newborn health highlights the existence of a large number of indicators being used for this purpose. The definitions and data sources used to produce indicator estimates vary and challenges exist with completeness, accuracy, transparency, and timeliness of data. The objective of this study is to create a conceptual overview of how indicator validity is defined and understood by those who develop and use maternal and newborn health indicators. METHODS: A conceptual framework of validity was developed using mixed methods. We were guided by principles for conceptual frameworks and by a review of the literature and key maternal and newborn health indicator guidance documents. We also conducted qualitative semi-structured interviews with 32 key informants chosen through purposive sampling. RESULTS: We categorised indicator validity into three main types: criterion, convergent, and construct. Criterion or diagnostic validity, comparing a measure with a gold standard, has predominantly been used to assess indicators of care coverage and content. Studies assessing convergent validity quantify the extent to which two or more indicator measurement approaches, none of which is a gold-standard, relate. Key informants considered construct validity, or the accuracy of the operationalisation of a concept or phenomenon, a critical part of the overall assessment of indicator validity. CONCLUSION: Given concerns about the large number of maternal and newborn health indicators currently in use, a more consistent understanding of validity can help guide prioritization of key indicators and inform development of new indicators. All three types of validity are relevant for evaluating the performance of maternal and newborn health indicators. We highlight the need to establish a common language and understanding of indicator validity among the various global and local stakeholders working within maternal and newborn health.

Timing and number of antenatal care contacts in low and middle-income countries: Analysis in the Countdown to 2030 priority countries.

BACKGROUND: The 2016 World Health Organization (WHO) guidelines for antenatal care (ANC) shift the recommended minimum number of ANC contacts from four to eight, specifying the first contact to occur within the first trimester of pregnancy. We quantify the likelihood of meeting this recommendation in 54 Countdown to 2030 priority countries and identify the characteristics of women being left behind. METHODS: Using 54 Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) since 2012, we reported the proportion of women with timely ANC initiation and those who received 8-10 contacts by coverage levels of ANC4+ and by Sustainable Development Goal (SDG) regions. We identified demographic, socio-economic and health systems characteristics of timely ANC initiation and achievement of ANC8+. We ran four multiple regression models to quantify the associations between timing of first ANC and the number and content of ANC received. RESULTS: Overall, 49.9% of women with ANC1+ and 44.3% of all women had timely ANC initiation; 11.3% achieved ANC8+ and 11.2% received no ANC. Women with timely ANC initiation had 5.2 (95% confidence interval (CI) = 5.0-5.5) and 4.7 (95% CI = 4.4-5.0) times higher odds of receiving four and eight ANC contacts, respectively (P < 0.001), and were more likely to receive a higher content of ANC than women with delayed ANC initiation. Regionally, women in Central and Southern Asia had the best performance of timely ANC initiation; Latin America and Caribbean had the highest proportion of women achieving ANC8+. Women who did not initiate ANC in the first trimester or did not achieve 8 contacts were generally poor, single women, with low education, living in rural areas, larger households, having short birth intervals, higher parity, and not giving birth in a health facility nor with a skilled attendant. CONCLUSIONS: Timely ANC initiation is likely to be a major driving force towards meeting the 2016 WHO guidelines for a positive pregnancy experience.

Discordance in postnatal care between mothers and newborns: Measurement artifact or missed opportunity?

BACKGROUND: Postnatal care (PNC) for mothers and newborns is essential to monitor risks of morbidity and adverse conditions following delivery. Current estimates of the coverage of PNC show substantial discordance between mothers and newborns. We investigate the sources of this discordance in Demographic and Health Surveys (DHS). METHODS: We used DHS data from 48 countries collected since 2011, spanning phases 6 and 7 of the survey program with 32 and 16 surveys, respectively, analyzed. We assessed the distribution of the reported timing of PNC and conducted a sensitivity analysis that excludes/includes PNC reported within 0-1 hour or PNC in the day 2. Agreement in PNC reporting considered four groups: (1) Concordance, neither mother nor newborn received PNC; (2) Concordance, mother and newborn pair received PNC; (3) Discordance, mother received PNC and newborn did not; of (4) Discordance, mother did not receive PNC but the newborn did. We carried out logistic regressions to understand correlates of PNC discordance. All analyses distinguished phase 6 surveys from phase 7. RESULTS: We found substantial differences in the PNC coverage estimated between phase 6 and phase 7 surveys. The phase 7 PNC questions for newborns were improved to increase the understanding of the questions by respondent which probably led to reducing the large PNC gap between mothers and newborns observed in phase 6 surveys. With phase 6 surveys, PNC coverage for mother was estimated on average at 62% compared to only 31% for newborns. No such gap was observed for phase 7 surveys, where for both mothers and newborns, the PNC coverage estimate was similar, at 56%. For both phases, over half of the reported PNC for mothers and newborns occurred during 0-1 hour following delivery, leading to substantial overestimation of PNC coverage, due to confusion between intrapartum care and PNC. There were 37% discordant cases between mother and newborn, largely in favor of the mother in phase 6 surveys, compared to 16% in phase 7 surveys. In phase 6 surveys, discordant PNC cases were observed largely among facility deliveries vs non-facility deliveries (44% compared to 19%). CONCLUSIONS: Current estimates of coverage of PNC from DHS phase 6 surveys appears to include substantial level of measurement noises that could explain substantial part of the mother-newborn discordance in PNC. The PNC estimates appear to capture a substantial number of intrapartum care. Current measurement approaches warrant further validation to ensure accurate monitoring of the PNC programs.

Closing the inequality gaps in reproductive, maternal, newborn and child health coverage: slow and fast progressors.

Introduction: Universal Health Coverage (UHC) is a critical goal under the Sustainable Development Goals (SDGs) for health. Achieving this goal for reproductive, maternal, newborn and child health (RMNCH) service coverage will require an understanding of national progress and how socioeconomic and demographic subgroups of women and children are being reached by health interventions. Methods: We accessed coverage databases produced by the International Centre for Equity in Health, which were based on reanalysis of Demographic and Health Surveys, Multiple Indicator Cluster Surveys and Reproductive and Health Surveys. We limited the data to 58 countries with at least two surveys since 2008. We fitted multilevel linear regressions of coverage of RMNCH, divided into four main components-reproductive health, maternal health, child immunisation and child illness treatment-to estimate the average annual percentage point change (AAPPC) in coverage for the period 2008-2017 across these countries and for subgroups defined by maternal age, education, place of residence and wealth quintiles. We also assessed change in the pace of coverage progress between the periods 2000-2008 and 2008-2017. Results: Progress in RMNCH coverage has been modest over the past decade, with statistically significant AAPPC observed only for maternal health (1.25, 95% CI 0.90 to 1.61) and reproductive health (0.83, 95% CI 0.47 to 1.19). AAPPC was not statistically significant for child immunisation and illness treatment. Progress, however, varied largely across countries, with fast or slow progressors spread throughout the low-income and middle-income groups. For reproductive and maternal health, low-income and lower middle-income countries appear to have progressed faster than upper middle-income countries. For these two components, faster progress was also observed in older women and in traditionally less well-off groups such as non-educated women, those living in rural areas or belonging to the poorest or middle wealth quintiles than among groups that are well off. The latter groups however continue to maintain substantially higher coverage levels over the former. No acceleration in RMNCH coverage was observed when the periods 2000-2008 and 2008-2017 were compared. Conclusion: At the dawn of the SDGs, progress in coverage in RMNCH remains insufficient at the national level and across equity dimensions to accelerate towards UHC by 2030. Greater attention must be paid to child immunisation to sustain the past gains and to child illness treatment to substantially raise its coverage across all groups.

Advances in the measurement of coverage for RMNCH and nutrition: from contact to effective coverage.

Current methods for measuring intervention coverage for reproductive, maternal, newborn, and child health and nutrition (RMNCH+N) do not adequately capture the quality of services delivered. Without information on the quality of care, it is difficult to assess whether services provided will result in expected health improvements. We propose a six-step coverage framework, starting from a target population to (1) service contact, (2) likelihood of services, (3) crude coverage, (4) quality-adjusted coverage, (5) user-adherence-adjusted coverage and (6) outcome-adjusted coverage. We support our framework with a comprehensive review of published literature on effective coverage for RMNCH+N interventions since 2000. We screened 8103 articles and selected 36 from which we summarised current methods for measuring effective coverage and computed the gaps between 'crude' coverage measures and quality-adjusted measures. Our review showed considerable variability in data sources, indicator definitions and analytical approaches for effective coverage measurement. Large gaps between crude coverage and quality-adjusted coverage levels were evident, ranging from an average of 10 to 38 percentage points across the RMNCH+N interventions assessed. We define effective coverage as the proportion of individuals experiencing health gains from a service among those who need the service, and distinguish this from other indicators along a coverage cascade that make quality adjustments. We propose a systematic approach for analysis along six steps in the cascade. Research to date shows substantial drops in effective delivery of care across these steps, but variation in methods limits comparability of the results. Advancement in coverage measurement will require standardisation of effective coverage terminology and improvements in data collection and methodological approaches.

Measuring postnatal care contacts for mothers and newborns: An analysis of data from the MICS and DHS surveys.

BACKGROUND: The postnatal period represents a vulnerable phase for mothers and newborns where both face increased risk of morbidity and death. WHO recommends postnatal care (PNC) for mothers and newborns to include a first contact within 24 hours following the birth of the child. However, measuring coverage of PNC in household surveys has been variable over time. The two largest household survey programs in low and middle-income countries, the UNICEF-supported Multiple Indicator Cluster Surveys (MICS) and USAID-funded Demographic and Health Surveys (DHS), now include modules that capture these measures. However, the measurement approach is slightly different between the two programs. We attempt to assess the possible measurement differences that might affect comparability of coverage measures. METHODS: We first review the standard questionnaires of the two survey programs to compare approaches to collecting data on postnatal contacts for mothers and newborns. We then illustrate how the approaches used can affect PNC coverage estimates by analysing data from four countries; Bangladesh, Ghana, Kygyz Republic, and Nepal, with both MICS and DHS between 2010-2015. RESULTS: We found that tools implemented todate by MICS and DHS (up to MICS round 5 and up to DHS phase 6) have collected PNC information in different ways. While MICS dedicated a full module to PNC and distinguishes immediate vs later PNC, DHS implemented a more blended module of pregnancy and postnatal and did not systematically distinguish those phases. The two survey programs differred in the way questions on postnatal care for mothers and newbors were framed. Subsequently, MICS and DHS surveys followed different methodological approach to compute the global indicator of postnatal contacts for mothers and newborns within two days following delivery. Regardless of the place of delivery, MICS estimates for postnatal contacts for mothers and newbors appeared consistently higher than those reported in DHS. The difference was however, far more pronounced in case of newborns. CONCLUSIONS: Difference in questionnaires and the methodology adopted to measure PNC have created comparability issues in the coverage levels. Harmonization of survey instruments on postnatal contacts will allow comparable and better assessment of coverage levels and trends.

Evidence from household surveys for measuring coverage of newborn care practices.

BACKGROUND: Aside from breastfeeding, there are little data on use of essential newborn care practices, such as thermal protection and hygienic cord care, in high mortality countries. These practices have not typically been measured in national household surveys, often the main source for coverage data in these settings. The Every Newborn Action Plan proposed early breastfeeding as a tracer for essential newborn care due to data availability and evidence for the benefits of breastfeeding. In the past decade, a few national surveys have added questions on other practices, presenting an opportunity to assess the performance of early breastfeeding initiation as a tracer indicator. METHODS: We identified twelve national surveys between 2005-2014 that included at least one indicator for immediate newborn care in addition to breastfeeding. Because question wording and reference populations varied, we standardized data to the extent possible to estimate coverage of newborn care practices, accounting for strata and multistage survey design. We assessed early breastfeeding as a tracer by: 1) examining associations with other indicators using Pearson correlations; and 2) stratifying by early breastfeeding to determine differences in coverage of other practices for initiators vs non-initiators in each survey, then pooling across surveys for a meta-analysis, using the inverse standard error as the weight for each observation. FINDINGS: Associations between pairs of coverage indicators are generally weak, including those with breastfeeding. The exception is drying and wrapping, which have the strongest association of any two interventions in all five surveys where measured; estimated correlations for this range from 0.47 in Bangladesh's 2007 DHS to 0.83 in Nepal's 2006 DHS. The contrast in coverage for other practices by early breastfeeding is generally small; the greatest absolute difference was 6.7%, between coverage of immediate drying for newborns breastfed early compared to those who were not. CONCLUSIONS: Early initiation of breastfeeding is not a high performing tracer indicator for essential newborn care practices measured in previous national surveys. To have informative data on whether newborns are getting life-saving services, standardized questions about specific practices, in addition to breastfeeding initiation, need to be added to surveys.

Does health facility service environment matter for the receipt of essential newborn care? Linking health facility and household survey data in Malawi.

BACKGROUND: Health facility service environment is an important factor for newborns survival and well-being in general and in particular in high mortality settings such as Malawi where despite high coverage of essential interventions, neonatal mortality remains high. The aim of this study is to assess whether the quality of the health service environment at birth is associated with quality of care received by the newborn. METHODS: We used data from the Malawi Millennium Development Goals Endline household survey conducted as part of MICS survey program and Service Provision Assessment Survey carried out in 2014. The analysis is based on 6218 facility births that occurred during the past 2 years. Descriptive statistics, bivariate and multivariate random effect models are used to assess the association of health facility service readiness score for normal deliveries and newborn care with newborns receiving appropriate newborn care, defined for this analysis as receiving 5 out of 6 recommended interventions during the first 2 days after birth. RESULTS: Newborns in districts with top facility service readiness score have 1.5 higher odds of receiving appropriate newborn care (adjusted odds ratio (aOR) = 1.52, 95% confidence interval CI = 1.19-1.95, P = 0.001), as compared to newborns in districts with a lower facility score after adjusting for potential confounders. Newborns in the Northern region were two times more likely to receive 5 newborn care interventions as compared to newborns in the Southern region (aOR = 2.06, 95% CI = 1.50-2.83, P < 0.001). Living in urban or rural areas did not have an impact on receiving appropriate newborn care. CONCLUSIONS: There is need to increase the level of service readiness across all facilities, so that all newborns irrespective of the health facility, district or region of delivery are able to receive all recommended essential interventions. Investments in health systems in Malawi should concentrate on increasing training and availability of health staff in facilities that offer normal delivery and newborn care services at all levels in the country.

Patterns and determinants of antenatal care utilization: analysis of national survey data in seven countdown countries.

BACKGROUND: Antenatal care (ANC) is critical for improving maternal and newborn health. WHO recommends that pregnant women complete at least four ANC visits. Countdown and other global monitoring efforts track the proportions of women who receive one or more visits by a skilled provider (ANC1+) and four or more visits by any provider (ANC4+). This study investigates patterns of drop-off in use between ANC1+ and ANC4+, and explores inequalities in women's use of ANC services. It also identifies determinants of utilization and describes countries' ANC-related policies, and programs. METHODS: We performed secondary analyses using Demographic Health Survey (DHS) data from seven Countdown countries: Bangladesh, Cambodia, Cameroon, Nepal, Peru, Senegal and Uganda. The descriptive analysis illustrates country variations in the frequency of visits by provider type, content, and by household wealth, women's education and type of residence. We conducted a multivariable analysis using a conceptual framework to identify determinants of ANC utilization. We collected contextual information from countries through a standard questionnaire completed by country-based informants. RESULTS: Each country had a unique pattern of ANC utilization in terms of coverage, inequality and the extent to which predictors affected the frequency of visits. Nevertheless, common patterns arise. Women having four or more visits usually saw a skilled provider at least once, and received more evidence-based content interventions than women reporting fewer than four visits. A considerable proportion of women reporting four or more visits did not report receiving the essential interventions. Large disparities exist in ANC use by household wealth, women's education and residence area; and are wider for a larger number of visits. The multivariable analyses of two models in each country showed that determinants had different effects on the dependent variable in each model. Overall, strong predictors of ANC initiation and having a higher frequency (4+) of visits were woman's education and household wealth. Gestational age at first visit, birth rank and preceding birth interval were generally negatively associated with initiating visits and with having four or more visits. Information on country policies and programs were somewhat informative in understanding the utilization patterns across the countries, although timing of adoption and actual implementation make direct linkages impossible to verify. CONCLUSION: Secondary analyses provided a more detailed picture of ANC utilization patterns in the seven countries. While coverage levels differ by country and sub-groups, all countries can benefit from specific in-country assessments to properly identify the underserved women and the reasons behind low coverage and missed interventions. Overall, emphasis needs to be put on assessing the quality of care offered and identifying women's perception to the care as well as the barriers hindering utilization. Country policies and programs need to be reviewed, evaluated and/or implemented properly to ensure that women receive the recommended number of ANC visits with appropriate content, especially, poor and less educated women residing in rural areas.

Engagement of Men in Antenatal Care Services: Increased HIV Testing and Treatment Uptake in a Community Participatory Action Program in Mozambique.

Uptake of HIV testing and antiretroviral therapy (ART) services during antenatal care (ANC) in rural Mozambique is disappointing. To nurture supportive male engagement in ANC services, we partnered with traditional birth attendants and trained a new type of male-to-male community health agent, "Male Champions", who focused on counseling male partners to create new, male-friendly community norms around engagement in spousal/partner pregnancies. We assessed ANC service uptake using a pre-post intervention design. The intervention was associated with increases in: (1) uptake of provider-initiated counseling and testing among pregnant woman (81 vs. 92 %; p < 0.001); (2) male engagement in ANC (5 vs. 34 %; p < 0.001); and (3) uptake of ART (8 vs. 19 %; p < 0.001). When men accepted HIV testing, rates of testing rose markedly among pregnant women. With the challenges in scale-up of Option B+ in sub-Saharan Africa, similar interventions may increase testing and treatment acceptability during pregnancy.

Barriers to Male Involvement in Antenatal Care in Rural Mozambique.

Low rates of antenatal care (ANC) service uptake limit the potential impact of mother-to-child HIV-prevention strategies. Zambézia province, Mozambique, has one of the lowest proportions of ANC uptake among pregnant women in the country, despite the availability of free services. We sought to identify factors influencing ANC service uptake (including HIV counseling and testing) through qualitative methods. In addition, we encouraged discussion about strategies to improve uptake of services. We conducted 14 focus groups to explore community views on these topics. Based on thematic coding of discourse, two main themes emerged: (a) gender inequality in decision making and responsibility for pregnancy and (b) community beliefs that uptake of ANC services, particularly, if supported by a male partner, reflects a woman's HIV-positive status. Interventions to promote ANC uptake must work to shift cultural norms through male partner participation. Potential strategies to promote male engagement in ANC services are discussed.

A systematic review of community-to-facility neonatal referral completion rates in Africa and Asia.

BACKGROUND: An estimated 2.8 million neonatal deaths occur annually worldwide. The vulnerability of newborns makes the timeliness of seeking and receiving care critical for neonatal survival and prevention of long-term sequelae. To better understand the role active referrals by community health workers play in neonatal careseeking, we synthesize data on referral completion rates for neonates with danger signs predictive of mortality or major morbidity in low- and middle-income countries. METHODS: A systematic review was conducted in May 2014 of the following databases: Medline-PubMed, Embase, and WHO databases. We also searched grey literature. In addition, an investigator group was established to identify unpublished data on newborn referral and completion rates. Inquiries were made to the network of research groups supported by Save the Children's Saving Newborn Lives project and other relevant research groups. RESULTS: Three Sub-Saharan African and five South Asian studies reported data on community-to-facility referral completion rates. The studies varied on factors such as referral rates, the assessed danger signs, frequency of home visits in the neonatal period, and what was done to facilitate referrals. Neonatal referral completion rates ranged from 34 to 97 %, with the median rate of 74 %. Four studies reported data on the early neonatal period; early neonatal completion rates ranged from 46 to 97 %, with a median of 70 %. The definition of referral completion differed by studies, in aspects such as where the newborns were referred to and what was considered timely completion. CONCLUSIONS: Existing literature reports a wide range of neonatal referral completion rates in Sub-Saharan Africa and South Asia following active illness surveillance. Interpreting these referral completion rates is challenging due to the great variation in study design and context. Often, what qualifies as referral and/or referral completion is poorly defined, which makes it difficult to aggregate existing data to draw appropriate conclusions that can inform programs. Further research is necessary to continue highlighting ways for programs, governments, and policymakers to best aid families in low-resource settings in protecting their newborns from major health consequences.

Count every newborn; a measurement improvement roadmap for coverage data.

BACKGROUND: The Every Newborn Action Plan (ENAP), launched in 2014, aims to end preventable newborn deaths and stillbirths, with national targets of ≤12 neonatal deaths per 1000 live births and ≤12 stillbirths per 1000 total births by 2030. This requires ambitious improvement of the data on care at birth and of small and sick newborns, particularly to track coverage, quality and equity. METHODS: In a multistage process, a matrix of 70 indicators were assessed by the Every Newborn steering group. Indicators were graded based on their availability and importance to ENAP, resulting in 10 core and 10 additional indicators. A consultation process was undertaken to assess the status of each ENAP core indicator definition, data availability and measurement feasibility. Coverage indicators for the specific ENAP treatment interventions were assigned task teams and given priority as they were identified as requiring the most technical work. Consultations were held throughout. RESULTS: ENAP published 10 core indicators plus 10 additional indicators. Three core impact indicators (neonatal mortality rate, maternal mortality ratio, stillbirth rate) are well defined, with future efforts needed to focus on improving data quantity and quality. Three core indicators on coverage of care for all mothers and newborns (intrapartum/skilled birth attendance, early postnatal care, essential newborn care) have defined contact points, but gaps exist in measuring content and quality of the interventions. Four core (antenatal corticosteroids, neonatal resuscitation, treatment of serious neonatal infections, kangaroo mother care) and one additional coverage indicator for newborns at risk or with complications (chlorhexidine cord cleansing) lack indicator definitions or data, especially for denominators (population in need). To address these gaps, feasible coverage indicator definitions are presented for validity testing. Measurable process indicators to help monitor health service readiness are also presented. A major measurement gap exists to monitor care of small and sick babies, yet signal functions could be tracked similarly to emergency obstetric care. CONCLUSIONS: The ENAP Measurement Improvement Roadmap (2015-2020) outlines tools to be developed (e.g., improved birth and death registration, audit, and minimum perinatal dataset) and actions to test, validate and institutionalise proposed coverage indicators. The roadmap presents a unique opportunity to strengthen routine health information systems, crosslinking these data with civil registration and vital statistics and population-based surveys. Real measurement change requires intentional transfer of leadership to countries with the greatest disease burden and will be achieved by working with centres of excellence and existing networks.

The Impact of Visual Aids and Enhanced Training on the Delivery of Positive Health, Dignity, and Prevention Messages to Adult Patients Living with HIV in Rural North Central Mozambique.

INTRODUCTION: Positive health, dignity, and prevention (PHDP) interventions target people living with HIV and AIDS (PLHIV) to promote well-being and prevent onward transmission. Concern that increased life expectancy and improved well-being would lead to increased risky sexual behaviour and subsequent HIV transmission motivated researchers to test novel strategies to support treatment adherence, encourage safer sex, STI treatment and partner testing, prevention of mother to child transmission, and support uptake of family planning. METHODS: We assessed the number and type of PHDP messages delivered to PLHIV before and after the implementation of an educational intervention for health providers combined with the distribution of visual job aids and monthly technical assistance. RESULTS: From April 21, 2013 to March 20, 2014, we documented 54,731 clinical encounters at three rural health centres in Zambézia province, Mozambique from 9,248 unique patients. The percentage of patients who received all seven PHDP messages during their last three visits was 1.9% pre-intervention vs. 13.6% post- intervention (p=<0.001). Younger patients (25 years vs. 35) and those with a recent HIV diagnosis (two weeks vs. two years) had higher odds of receiving any PHDP message (Odds Ratio [OR]: 1.22 and 2.79, respectively). Patients >59 days late collecting medications were not more likely to receive adherence messages than adherent patients (p=0.17). DISCUSSION: Targeting HIV prevention efforts to PLHIV is an effective HIV prevention approach to eliminate HIV transmission. Despite intensive training and support, PHDP message delivery remained unacceptably low in rural Mozambique. Patients at high risk for treatment abandonment were not more likely to be counselled about adherence and support measures, something that needs to be addressed. CONCLUSIONS: We need to develop novel strategies to motivate health care providers to deliver these messages more consistently to all patients and develop a system that assists counsellors and clinicians to quickly and effectively determine which messages should be delivered.