Mitigating the impact of COVID-19 on primary healthcare interventions for the reduction of under-5 mortality in Bangladesh: Lessons learned through implementation research.

The COVID-19 pandemic posed unprecedented challenges and threats to health systems, particularly affecting delivery of evidence-based interventions (EBIs) to reduce under-5 mortality (U5M) in resource-limited settings such as Bangladesh. We explored the level of disruption of these EBIs, strategies and contextual factors associated with preventing or mitigating service disruptions, and how previous efforts supported the work to maintain EBIs during the pandemic. We utilized a mixed methods implementation science approach, with data from: 1) desk review of available literature; 2) existing District Health Information System 2 (DHIS2) in Bangladesh; and 3) key informant interviews (KIIs), exploring evidence on changes in coverage, implementation strategies, and contextual factors influencing primary healthcare EBI coverage during March-December 2020. We used interrupted time series analysis (timeframe January 2019 to December 2020) using a Poisson regression model to estimate the impact of COVID-19 on DHIS2 indicators. We audio recorded, transcribed, and translated the qualitative data from KIIs. We used thematic analysis of coded interviews to identify emerging patterns and themes using the implementation research framework. Bangladesh had an initial drop in U5M-oriented EBIs during the early phase of the pandemic, which began recovering in June 2020. Barriers such as lockdown and movement restrictions, difficulties accessing medical care, and redirection of the health system's focus to the COVID-19 pandemic, resulted in reduced health-seeking behavior and service utilization. Strategies to prevent and respond to disruptions included data use for decision-making, use of digital platforms, and leveraging community-based healthcare delivery. Transferable lessons included collaboration and coordination of activities and community and civil society engagement, and investing in health system quality. Countries working to increase EBI implementation can learn from the barriers, strategies, and transferable lessons identified in this work in an effort to reduce and respond to health system disruptions in anticipation of future health system shocks.

Cross-country analysis of contextual factors and implementation strategies in under-5 mortality reduction in six low- and middle-income countries 2000-2015.

BACKGROUND: The Exemplars in Under-5 Mortality (U5M) was a multiple cases study of how six low- and middle-income countries (LMICs), Bangladesh, Ethiopia, Nepal, Peru, Rwanda, and Senegal, implemented health system-delivered evidence-based interventions (EBIs) to reduce U5M between 2000 and 2015 more effectively than others in their regions or with similar economic growth. Using implementation research, we conducted a cross-country analysis to compare decision-making pathways for how these countries chose, implemented, and adapted strategies for health system-delivered EBIs that mitigated or leveraged contextual factors to improve implementation outcomes in reducing amenable U5M. METHODS: The cross-country analysis was based on the hybrid mixed methods implementation research framework used to inform the country case studies. The framework included a common pathway of Exploration, Preparation, Implementation, Adaptation, and Sustainment (EPIAS). From the existing case studies, we extracted contextual factors which were barriers, facilitators, or determinants of strategic decisions; strategies to implement EBIs; and implementation outcomes including acceptability and coverage. We identified common factors and strategies shared by countries, and individual approaches used by countries reflecting differences in contextual factors and goals. RESULTS: We found the six countries implemented many of the same EBIs, often using similar strategies with adaptations to local context and disease burden. Common implementation strategies included use of data by decision-makers to identify problems and prioritize EBIs, determine implementation strategies and their adaptation, and measure outcomes; leveraging existing primary healthcare systems; and community and stakeholder engagement. We also found common facilitators included culture of donor and partner coordination and culture and capacity of data use, while common barriers included geography and culture and beliefs. We found evidence for achieving implementation outcomes in many countries and EBIs including acceptability, coverage, equity, and sustainability. DISCUSSION: We found all six countries used a common pathway to implementation with a number of strategies common across EBIs and countries which contributed to progress, either despite contextual barriers or by leveraging facilitators. The transferable knowledge from this cross-country study can be used by other countries to more effectively implement EBIs known to reduce amenable U5M and contribute to strengthening health system delivery now and in the future.

Integrated Management of Childhood Illness implementation in Nepal: understanding strategies, context, and outcomes.

BACKGROUND: Health system-delivered evidence-based interventions (EBIs) are important to reducing amenable under-5 mortality (U5M). Implementation research (IR) can reduce knowledge gaps and decrease lags between new knowledge and its implementation in real world settings. IR can also help understand contextual factors and strategies useful to adapting EBIs and their implementation to local settings. Nepal has been a leader in dropping U5M including through adopting EBIs such as integrated management of childhood illness (IMCI). We use IR to identify strategies used in Nepal's adaptation and implementation of IMCI. METHODS: We conducted a mixed methods case study using an implementation research framework developed to understand how Nepal outperformed its peers between 2000-2015 in implementing health system-delivered EBIs known to reduce amenable U5M. We combined review of existing literature and data supplemented by 21 key informant interviews with policymakers and implementers, to understand implementation strategies and contextual factors that affected implementation outcomes. We extracted relevant results from the case study and used explanatory mixed methods to understand how and why Nepal had successes and challenges in adapting and implementing one EBI, IMCI. RESULTS: Strategies chosen and adapted to meet Nepal's specific context included leveraging local research to inform national decision-makers, pilot testing, partner engagement, and building on and integrating with the existing community health system. These cross-cutting strategies benefited from facilitating factors included community health system and structure, culture of data use, and local research capacity. Geography was a critical barrier and while substantial drops in U5M were seen in both the highest and lowest wealth quintiles, with the wealth equity gap decreasing from 73 to 39 per 1,000 live births from 2001 to 2016, substantial geographic inequities remained. CONCLUSIONS: Nepal's story shows that implementation strategies that are available across contexts were key to adopting and adapting IMCI and achieving outcomes including acceptability, effectiveness, and reach. The value of choosing strategies that leverage facilitating factors such as investments in community-based and facility-based approaches as well as addressing barriers such as geography are useful lessons for countries working to accelerate adaptation and implementation of strategies to implement EBIs to continue achieving child health targets.

Inequity in the face of success: understanding geographic and wealth-based equity in success of facility-based delivery for under-5 mortality reduction in six countries.

BACKGROUND: Between 2000-2015, many low- and middle-income countries (LMICs) implemented evidence-based interventions (EBIs) known to reduce under-5 mortality (U5M). Even among LMICs successful in reducing U5M, this drop was unequal subnationally, with varying success in EBI implementation. Building on mixed methods multi-case studies of six LMICs (Bangladesh, Ethiopia, Nepal, Peru, Rwanda, and Senegal) leading in U5M reduction, we describe geographic and wealth-based equity in facility-based delivery (FBD), a critical EBI to reduce neonatal mortality which requires a trusted and functional health system, and compare the implementation strategies and contextual factors which influenced success or challenges within and across the countries. METHODS: To obtain equity gaps in FBD coverage and changes in absolute geographic and wealth-based equity between 2000-2015, we calculated the difference between the highest and lowest FBD coverage across subnational regions and in the FBD coverage between the richest and poorest wealth quintiles. We extracted and compared contextual factors and implementation strategies associated with reduced or remaining inequities from the country case studies. RESULTS: The absolute geographic and wealth-based equity gaps decreased in three countries, with greatest drops in Rwanda - decreasing from 50 to 5% across subnational regions and from 43 to 13% across wealth quintiles. The largest increases were seen in Bangladesh - from 10 to 32% across geography - and in Ethiopia - from 22 to 58% across wealth quintiles. Facilitators to reducing equity gaps across the six countries included leadership commitment and culture of data use; in some countries, community or maternal and child health insurance was also an important factor (Rwanda and Peru). Barriers across all the countries included geography, while country-specific barriers included low female empowerment subnationally (Bangladesh) and cultural beliefs (Ethiopia). Successful strategies included building on community health worker (CHW) programs, with country-specific adaptation of pre-existing CHW programs (Rwanda, Ethiopia, and Senegal) and cultural adaptation of delivery protocols (Peru). Reducing delivery costs was successful in Senegal, and partially successful in Nepal and Ethiopia. CONCLUSION: Variable success in reducing inequity in FBD coverage among countries successful in reducing U5M underscores the importance of measuring not just coverage but also equity. Learning from FBD interventions shows the need to prioritize equity in access and uptake of EBIs for the poor and in remote areas by adapting the strategies to local context.

Lessons from Peru to reduce under-5 mortality: understanding program implementation and context.

BACKGROUND: Health policymakers aiming to reduce under-5 mortality (U5M) often lack data regarding how successful interventions in other countries were implemented. The Exemplars in U5M Study identified countries that achieved significant reductions in amenable U5M. This case study in Peru used implementation research to explore the contextual factors and strategies that contributed to the successful implementation of key evidence-based interventions (EBIs). METHODS: This research utilized a hybrid implementation research framework and a mixed-methods approach to understand the factors associated with EBI implementation and the successful reduction of U5M between 2000-2015. A desk review of existing literature on EBIs and U5M in Peru was completed, and in-depth interviews were performed with key Peruvian informants to understand the implementation strategies employed and the contextual factors that facilitated or were barriers to success. For the purposes of this analysis, three EBIs were selected and evaluated: antenatal care visits (ANC), facility-based deliveries, and infant vaccination. RESULTS: Between 2000-2015, the percent of mothers attending at least four antenatal care visits rose from 69% to 96.9%, and the percent of facility-based deliveries increased from 56 to 91%. Three doses of the tetanus/diphtheria/pertussis vaccine, widely acknowledged as a key global health indicator, reached 90% by 2015. Key informants noted that economic growth, financial reforms, strong national commitment to reduce poverty in Peru, and national prioritization of maternal and child health, were important contextual factors that contributed to the successful reduction of U5M. They noted key strategies that helped achieve success during the implementation of EBIs, including utilization of data for decision-making, adaptation driven by cultural sensitivity to address gaps in coverage, and a focus on equity and anti-poverty initiatives with the participation of government, civil society, and political parties to assure continuity of policies. CONCLUSION: Several EBIs contributed to the successful reduction of U5M in Peru between 2000-2015. Strategies such as the focus on equity throughout the study period contributed to an increase in coverage of EBIs like ANC visits, facility-based deliveries and infant vaccination which worked to reduce U5M. Understanding how Peru successfully implemented programs that reduced preventable infant and child deaths could be useful to replicating this substantial public health success in other low- and middle-income countries.

Reducing the equity gap in under-5 mortality through an innovative community health program in Ethiopia: an implementation research study.

BACKGROUND: The Ethiopian government implemented a national community health program, the Health Extension Program (HEP), to provide community-based health services to address persisting access-related barriers to care using health extension workers (HEWs). We used implementation research to understand how Ethiopia leveraged the HEP to widely implement evidence-based interventions (EBIs) known to reduce under-5 mortality (U5M) and address health inequities. METHODS: This study was part of a six-country case study series using implementation research to understand how countries implemented EBIs between 2000-2015. Our mixed-methods research was informed by a hybrid implementation science framework using desk review of published and gray literature, analysis of existing data sources, and 11 key informant interviews. We used implementation of pneumococcal conjugate vaccine (PCV-10) and integrated community case management (iCCM) to illustrate Ethiopia's ability to rapidly integrate interventions into existing systems at a national level through leveraging the HEP and other implementation strategies and contextual factors which influenced implementation outcomes. RESULTS: Ethiopia implemented numerous EBIs known to address leading causes of U5M, leveraging the HEP as a platform for delivery to successfully introduce and scale new EBIs nationally. By 2014/15, estimated coverage of three doses of PCV-10 was at 76%, with high acceptability (nearly 100%) of vaccines in the community. Between 2000 and 2015, we found evidence of improved care-seeking; coverage of oral rehydration solution for treatment of diarrhea, a service included in iCCM, doubled over this period. HEWs made health services more accessible to rural and pastoralist communities, which account for over 80% of the population, with previously low access, a contextual factor that had been a barrier to high coverage of interventions. CONCLUSIONS: Leveraging the HEP as a platform for service delivery allowed Ethiopia to successfully introduce and scale existing and new EBIs nationally, improving feasibility and reach of introduction and scale-up of interventions. Additional efforts are required to reduce the equity gap in coverage of EBIs including PCV-10 and iCCM among pastoralist and rural communities. As other countries continue to work towards reducing U5M, Ethiopia's experience provides important lessons in effectively delivering key EBIs in the presence of challenging contextual factors.

Development and application of a hybrid implementation research framework to understand success in reducing under-5 mortality in Rwanda.

Background: We describe the development and testing of a hybrid implementation research (IR) framework to understand the pathways, successes, and challenges in addressing amenable under-5 mortality (U5M) - deaths preventable through health system-delivered evidence-based interventions (EBIs) - in low- and middle-income countries (LMICs). Methods: We reviewed existing IR frameworks to develop a hybrid framework designed to better understand U5M reduction in LMICs from identification of leading causes of amenable U5M, to EBI choice, identification and testing of strategies, work to achieve sustainability at scale and key contextual factors. We then conducted a mixed-methods case study of Rwanda using the framework to explore its utility in understanding the steps the country took in EBI-related decision-making and implementation between 2000-2015, key contextual factors which hindered or facilitated success, and extract actionable knowledge for other countries working to reduce U5M. Results: While relevant frameworks were identified, none individually covered the scope needed to understand Rwanda's actions and success. Building on these frameworks, we combined and adapted relevant frameworks to capture exploration, planning, implementation, contextual factors in LMICs such as Rwanda, and outcomes beyond effectiveness and coverage. Utilizing our hybrid framework in Rwanda, we studied multiple EBIs and identified a common pathway and cross-cutting strategies and contextual factors that supported the country's success in reducing U5M through the health system EBIs. Using these findings, we identified transferable lessons for other countries working to accelerate reduction in U5M. Conclusions: We found that a hybrid framework building on and adapting existing frameworks was successful in guiding data collection and interpretation of results, emerging new insights into how and why Rwanda achieved equitable introduction and implementation of health system EBIs that contributed to the decline in U5M, and generated lessons for countries working to drop U5M.

It takes a community: a landscape analysis of global health research consortia.

BACKGROUND: The increased recognition of the core role of effective primary healthcare has identified large gaps in the knowledge of components of high-quality primary healthcare systems and the need for resources positioned to better understand them. Research consortia are an effective approach to generate evidence needed to address knowledge and evidence gaps and accelerate change. However, the optimal design of consortia and guidance on design decisions is not well studied. We report on a landscape analysis to understand global health research consortium models and major design decisions that inform model choice. METHODS: We conducted a landscape analysis to identify health-related research consortia typologies and explore decision processes leading to their design and implementation. We identified and reviewed 195 research consortia, extracted data on organisation, characteristics and operations for 115 and conducted 14 key informant interviews representing 13 consortia. We analysed interviews using thematic content analysis using results to develop categories of major design choices and research consortia models, structures and processes. RESULTS: Across a wide range of research consortia, the structure and function were determined by nine key design decisions that were mapped to three domains: scope: including mission and area of focus; organisational structure: including role and location of the core entity, choice of leader, governance and membership eligibility and responsibility; and funding decisions: including the funding source for research consortia operations and the funding sources and process for consortium research. DISCUSSION: Research consortia showed important heterogeneity across the nine decision points studied and based on their goals, needs and resources. These decisions and the three emerging domains (scope, organisation and funding) offer a potential framework for new research consortia and inform the design of a proposed primary health care research consortium intended to accelerate research to improve primary health care in LMICs.

Causes of death and predictors of childhood mortality in Rwanda: a matched case-control study using verbal social autopsy.

BACKGROUND: Rwanda has dramatically reduced child mortality, but the causes and sociodemographic drivers for mortality are poorly understood. METHODS: We conducted a matched case-control study of all children who died before 5 years of age in eastern Rwanda between 1st March 2013 and 28th February 2014 to identify causes and risk factors for death. We identified deaths at the facility level and via a community health worker reporting system. We used verbal social autopsy to interview caregivers of deceased children and controls matched by area and age. We used InterVA4 to determine probable causes of death and cause-specific mortality fractions, and utilized conditional logistic regression to identify clinical, family, and household risk factors for death. RESULTS: We identified 618 deaths including 174 (28.2%) in neonates and 444 (71.8%) in non-neonates. The most commonly identified causes of death were pneumonia, birth asphyxia, and meningitis among neonates and malaria, acute respiratory infections, and HIV/AIDS-related death among non-neonates. Among neonates, 54 (31.0%) deaths occurred at home and for non-neonates 242 (54.5%) deaths occurred at home. Factors associated with neonatal death included home birth (aOR: 2.0; 95% CI: 1.4-2.8), multiple gestation (aOR: 2.1; 95% CI: 1.3-3.5), both parents deceased (aOR: 4.7; 95% CI: 1.5-15.3), mothers non-use of family planning (aOR: 0.8; 95% CI: 0.6-1.0), lack of accompanying person (aOR: 1.6; 95% CI: 1.1-2.1), and a caregiver who assessed the medical services they received as moderate to poor (aOR: 1.5; 95% CI: 1.2-1.9). Factors associated with non-neonatal deaths included multiple gestation (aOR: 2.8; 95% CI: 1.7-4.8), lack of adequate vaccinations (aOR: 1.7; 95% CI: 1.2-2.3), household size (aOR: 1.2; 95% CI: 1.0-1.4), maternal education levels (aOR: 1.9; 95% CI: 1.2-3.1), mothers non-use of family planning (aOR: 1.6; 95% CI: 1.4-1.8), and lack of household electricity (aOR: 1.4; 95% CI: 1.0-1.8). CONCLUSION: In the context of rapidly declining childhood mortality in Rwanda and increased access to health care, we found a large proportion of remaining deaths occur at home, with home deliveries still representing a significant risk factor for neonatal death. The major causes of death at a population level remain largely avoidable communicable diseases. Household characteristics associated with death included well-established socioeconomic and care-seeking risk factors.