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Abstract
Background
Maternal and Perinatal Death Surveillance and Response (MPDSR) systems provide an opportunity for health systems to understand the determinants of maternal and perinatal deaths in order to improve quality of care and prevent future deaths from occurring. While there has been broad uptake and learning from low- and middle-income countries, little is known on how to effectively implement MPDSR within humanitarian contexts – where disruptions in health service delivery are common, infrastructural damage and insecurity impact the accessibility of care, and severe financial and human resource shortages limit the quality and capacity to provide services to the most vulnerable. This study aimed to understand how contextual factors influence facility-based MPDSR interventions within five humanitarian contexts.

Methods
Descriptive case studies were conducted on the implementation of MPDSR in Cox's Bazar refugee camps in Bangladesh, refugee settlements in Uganda, South Sudan, Palestine, and Yemen. Desk reviews of case-specific MPDSR documentation and in-depth key informant interviews with 76 stakeholders supporting or directly implementing mortality surveillance interventions were conducted between December 2021 and July 2022. Interviews were recorded, transcribed, and analyzed using Dedoose software. Thematic content analysis was employed to understand the adoption, penetration, sustainability, and fidelity of MPDSR interventions and to facilitate cross-case synthesis of implementation complexities.

Results
Implementation of MPDSR interventions in the five humanitarian settings varied in scope, scale, and approach. Adoption of the interventions and fidelity to established protocols were influenced by availability of financial and human resources, the implementation climate (leadership engagement, health administration and provider buy-in, and community involvement), and complex humanitarian-health system dynamics. Blame culture was pervasive in all contexts, with health providers often facing punishment or criminalization for negligence, threats, and violence. Across contexts, successful implementation was driven by integrating MPDSR within quality improvement efforts, improving community involvement, and adapting programming fit-for-context.

Conclusions
The unique contextual considerations of humanitarian settings call for a customized approach to implementing MPDSR that best serves the immediate needs of the crisis, aligns with stakeholder priorities, and supports health workers and humanitarian responders in providing care to the most vulnerable populations.

This study examines the levels and correlates of contraceptive failure and discontinuation in Romania, together with the consequences of contraceptive method failure in terms of induced abortion. Of special interest are women who rely on the traditional method of withdrawal and the proportion of withdrawal failures resulting in abortion. Our analysis is based on multiyear calendar data concerning women's contraceptive use and monthly reproductive behaviors collected in the 1999 Romanian Reproductive Health Survey. Weibull regression models are estimated to analyze the determinants of discontinuation and failure for all methods combined and for withdrawal. Overall, 19 and 28 percent of women became pregnant within the first year of using any contraceptive method and of practicing withdrawal, respectively. About 57 and 59 percent of failures from use of all methods and from withdrawal ended in abortion, accounting for 30 percent and 22 percent, respectively, of all abortions reported between 1994 and 1999. These findings suggest that high rates of contraceptive discontinuation and failure contributed significantly to the widespread reliance on induced abortion among Romanian women during this period.

INTRODUCTION: In 2011, through a multipartner Integrated Family Health Initiative (IFHI), CARE started supporting maternal and neonatal health (MNH) improvement goals in 8 of 38 districts in Bihar, India. The programme included a frontline health worker (FHW) component offering health advice through household visits and benefited from CARE's direct engagement during IFHI, which then evolved into statewide Technical Support Unit (TSU) to the Government of Bihar in 2014. METHODS: Using eight rounds of state-representative household surveys with mothers of infants aged 0–2 months (N=73 093) linked with two facility assessments conducted during 2012–2017, we assessed changes in FHW visit coverage, intensity and quality between IFHI and TSU phases. Using logistic regression models, we ascertained associations between FHW outputs and three MNH core practices: ≥3 antenatal care check-ups (ANC3+), institutional delivery and early breastfeeding initiation. RESULTS: Women's receipt of 1+ FHW visits declined from 60.2% (IFHI phase) to 46.3% (TSU phase) in the eight IFHI districts, being below 40% statewide during the TSU phase. Despite a parallel decline in FHW visit quality measured as the number of health advice received, all three outcomes improved during the TSU versus IFHI phase in IFHI districts. We found significant positive associations between all three outcomes and receipt of 1+ FHW visits and programme phase (TSU vs IFHI) in the eight IFHI districts. During the TSU phase, receipt of 2+ FHW visits in the third trimester increased the odds of women receiving ANC3+ (adjusted OR (aOR)=1.21; 95% CI: 1.13 to 1.31), delivering in a facility (aOR=1.64; 95% CI: 1.51 to 1.77) and initiating breast feeding early (aOR=1.18; 95% CI: 1.05 to 1.18). Independent of the number and timing of FHW visits, we also found positive associations between women reporting higher than lower quality of FHW interactions and receiving outcome-specific advice and all three MNH outcomes. CONCLUSION: Implementation of large community-based ...

Short birth intervals can have adverse consequences for maternal and infant outcomes. Optimal birth spacing is often presumed to be achieved through the practice of family planning and use of contraceptives, yet most of the available research does not address explicitly the contribution of contraceptive‐method use to birth spacing or maternal and infant survival. We conducted a systematic literature review to assess the body of evidence linking contraceptive use to birth‐interval length. Fourteen studies published in English between 1980 and 2008 met our eligibility criteria for inclusion. The findings from these studies are mixed but suggest that the use of contraceptives is protective against short birth intervals. Although results are favorable, many of the studies and methodologies employed are dated. More current research is needed to determine the impact of contraceptive‐method use on birth‐interval length in order to inform the promotion of family planning for reducing maternal and infant morbidity and mortality through birth spacing.

BackgroundThe Ananya program in Bihar implemented household and community-level interventions to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) in two phases: a first phase of intensive ancillary support to governmental implementation and innovation testing by non-government organisation (NGO) partners in eight focus districts (2012-2014), followed by a second phase of state-wide government-led implementation with techno-managerial assistance from NGOs (2014 onwards). This paper examines trends in RMNCHN indicators in the program's implementation districts from 2012-2017.MethodsEight consecutive rounds of cross-sectional Community-based Household Surveys conducted by CARE India in 2012-2017 provided comparable data on a large number of indicators of frontline worker (FLW) performance, mothers' behaviours, and facility-based care and outreach service delivery across the continuum of maternal and child care. Logistic regression, considering the complex survey design and sample weights generated by that design, was used to estimate trends using survey rounds 2-5 for the first phase in the eight focus districts and rounds 6-9 for the second phase in all 38 districts statewide, as well as the overall change from round 2-9 in focus districts. To aid in contextualising the results, indicators were also compared amongst the formerly focus and the non-focus districts at the beginning of the second phase.ResultsIn the first phase, the levels of 34 out of 52 indicators increased significantly in the focus districts, including almost all indicators of FLW performance in antenatal and postnatal care, along with mother's birth preparedness, some breastfeeding practices, and immunisations. Between the two phases, 33 of 52 indicators declined significantly. In the second phase, the formerly focus districts experienced a rise in the levels of 14 of 50 indicators and a decline in the levels of 14 other indicators. There was a rise in the levels of 22 out of 50 indicators in the non-focus districts ...

BackgroundSelf-help group (SHG) interventions have been widely studied in low and middle income countries. However, there is little data on specific impacts of health layering, or adding health education modules upon existing SHGs which were formed primarily for economic empowerment. We examined three SHG interventions from 2012-2017 in Bihar, India to test the hypothesis that health-layering of SHGs would lead to improved health-related behaviours of women in SHGs.MethodsA model for health layering of SHGs - Parivartan - was developed by the non-governmental organisation (NGO), Project Concern International, in 64 blocks of eight districts. Layering included health modules, community events and review mechanisms. The health layering model was adapted for use with government-led SHGs, called JEEViKA+HL, in 37 other blocks of Bihar. Scale-up of government-led SHGs without health layering (JEEViKA) occurred contemporaneously in 433 other blocks, providing a natural comparison group. Using Community-based Household Surveys (CHS, rounds 6-9) by CARE India, 62 reproductive, maternal, newborn and child health and nutrition (RMNCHN) and sanitation indicators were examined for SHGs with health layering (Pavivartan SHGs and JEEViKA+HL SHGs) compared to those without. We calculated mean, standard deviation and odds ratios of indicators using surveymeans and survey logistic regression.ResultsIn 2014, 64% of indicators were significantly higher in Parivartan members compared to non-members residing in the same blocks. During scale up, from 2015-17, half (50%) of indicators had significantly higher odds in health layered SHG members (Parivartan or JEEViKA+HL) in 101 blocks compared to SHG members without health layering (JEEViKA) in 433 blocks.ConclusionsHealth layering of SHGs was demonstrated by an NGO-led model (Parivartan), adapted and scaled up by a government model (JEEViKA+HL), and associated with significant improvements in health compared to non-health-layered SHGs (JEEViKA). These results strengthen the evidence ...

In 2010, the Bill and Melinda Gates Foundation (BMGF) partnered with the Government of Bihar (GoB), India to launch the Ananya program to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) outcomes. The program sought to address supply and demand-side barriers to the adoption, coverage, quality, equity and health impact of select RMNCHN interventions. Approaches included strengthening frontline worker service delivery; social and behavior change communications; layering of health, nutrition and sanitation into women's selfhelp groups (SHGs); and quality improvement in maternal and newborn care at primary health care facilities. Ananya program interventions were piloted in approximately 28 million population in eight innovation districts from 2011–2013, and then beginning in 2014, were scaled up by the GoB across the rest of the state's population of 104 million. A Bihar Technical Support Program provided techno-managerial support to governmental Health as well as Integrated Child Development Services, and the JEEViKA Technical Support Program supported health layering and scale-up of the GoB's SHG program. The level of support at the block level during statewide scale-up in 2014 onwards was approximately one-fourth that provided in the pilot phase of Ananya in 2011–2013. This paper—the first manuscript in an 11-manuscript and 2-viewpoint collection on Learning from Ananya: Lessons for primary health care performance improvement—seeks to provide a broad description of Ananya and subsequent statewide adaptation and scaleup, and capture the background and context, key objectives, interventions, delivery approaches and evaluation methods of this expansive program. Subsequent papers in this collection focus on specific intervention delivery platforms. For the analyses in this series, Stanford University held key informant interviews and worked with the technical support and evaluation grantees of the Ananya program, as well as leadership from the India Country Office of the BMGF, to ...

In 2010, the Bill and Melinda Gates Foundation (BMGF) partnered with the Government of Bihar (GoB), India to launch the Ananya program to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) outcomes. The program sought to address supply- and demand-side barriers to the adoption, coverage, quality, equity and health impact of select RMNCHN interventions. Approaches included strengthening frontline worker service delivery; social and behavior change communications; layering of health, nutrition and sanitation into women's self-help groups (SHGs); and quality improvement in maternal and newborn care at primary health care facilities. Ananya program interventions were piloted in approximately 28 million population in eight innovation districts from 2011-2013, and then beginning in 2014, were scaled up by the GoB across the rest of the state's population of 104 million. A Bihar Technical Support Program provided techno-managerial support to governmental Health as well as Integrated Child Development Services, and the JEEViKA Technical Support Program supported health layering and scale-up of the GoB's SHG program. The level of support at the block level during statewide scale-up in 2014 onwards was approximately one-fourth that provided in the pilot phase of Ananya in 2011-2013. This paper - the first manuscript in an 11-manuscript and 2-viewpoint collection on Learning from Ananya: Lessons for primary health care performance improvement - seeks to provide a broad description of Ananya and subsequent statewide adaptation and scale-up, and capture the background and context, key objectives, interventions, delivery approaches and evaluation methods of this expansive program. Subsequent papers in this collection focus on specific intervention delivery platforms. For the analyses in this series, Stanford University held key informant interviews and worked with the technical support and evaluation grantees of the Ananya program, as well as leadership from the India Country Office of the BMGF, to analyse and synthesise data from multiple sources. Capturing lessons from the Ananya pilot program and statewide scale-up will assist program managers and policymakers to more effectively design and implement RMNCHN programs at scale through technical assistance to governments.

In 2010, the Bill and Melinda Gates Foundation (BMGF) partnered with the Government of Bihar (GoB), India to launch the Ananya program to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) outcomes. The program sought to address supply- and demand-side barriers to the adoption, coverage, quality, equity and health impact of select RMNCHN interventions. Approaches included strengthening frontline worker service delivery; social and behavior change communications; layering of health, nutrition and sanitation into women's self-help groups (SHGs); and quality improvement in maternal and newborn care at primary health care facilities. Ananya program interventions were piloted in approximately 28 million population in eight innovation districts from 2011-2013, and then beginning in 2014, were scaled up by the GoB across the rest of the state's population of 104 million. A Bihar Technical Support Program provided techno-managerial support to governmental Health as well as Integrated Child Development Services, and the JEEViKA Technical Support Program supported health layering and scale-up of the GoB's SHG program. The level of support at the block level during statewide scale-up in 2014 onwards was approximately one-fourth that provided in the pilot phase of Ananya in 2011-2013. This paper - the first manuscript in an 11-manuscript and 2-viewpoint collection on Learning from Ananya: Lessons for primary health care performance improvement - seeks to provide a broad description of Ananya and subsequent statewide adaptation and scale-up, and capture the background and context, key objectives, interventions, delivery approaches and evaluation methods of this expansive program. Subsequent papers in this collection focus on specific intervention delivery platforms. For the analyses in this series, Stanford University held key informant interviews and worked with the technical support and evaluation grantees of the Ananya program, as well as leadership from the India Country Office of the BMGF, ...