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Understanding implementation of interventions is critical to illuminate if, how, and why the interventions achieve impact. Alive & Thrive integrated a nutrition intervention into an existing maternal, neonatal, and child health (MNCH) programme in Bangladesh, documenting improvements in women's micronutrient supplement intake and dietary diversity. Here, we examined how well the nutrition intervention was implemented and which elements of implementation explained intervention impact. Survey data were collected in 2015 and 2016 from frontline health workers (FLW) and households in areas randomized to nutrition-focused MNCH (intensified interpersonal counselling, community mobilization, distribution of free micronutrient supplements, and weight-gain monitoring) or standard MNCH (antenatal care with standard nutrition counselling). Seven intervention elements were measured: time commitment, training quality, knowledge, coverage, counselling quality, supervision, and incentives. Multiple regression was used to derive difference-in-differences (DID) estimates. Using village-level endline data, path analysis was used to determine which elements most explained intervention impacts. FLWs in both areas were highly committed and well supervised. Coverage was high (>90%) for counselling, supplement provision, and weight-gain monitoring. Improvements were significantly greater for nutrition-focused MNCH, versus standard MNCH, for training quality (DID: 2.42 points of 10), knowledge (DID: 1.20 points), delivery coverage (DID: 4.16 points), and counselling quality (DID: 1.60 points). Impact was substantially explained by coverage and delivery quality. In conclusion, integration nutrition intervention into the MNCH programme was feasible and well-implemented. Although differences in coverage and counselling quality most explained impacts, all intervention elements-particularly FLW training and performance-were likely important to achieving impact., (© 2018 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons, Ltd.)

The pathways through which behavior change interventions impact breastfeeding practices have not been well studied. This study aimed to examine: (1) the effects of exposure to mass media and interpersonal counseling on exclusive breastfeeding (EBF) and hypothesized psychosocial determinants (i.e. knowledge, intention, beliefs, social norms, and self-efficacy); and (2) the pathways through which exposure to mass media and interpersonal counseling are associated with EBF. We used survey data from mothers with children < 2 year (n = 2045) from the 2013 process evaluation of Alive & Thrive's program in Viet Nam. Multiple linear regression analyses and structural equation modeling were used to estimate effects. Exposure to mass media only, interpersonal counseling only, both or neither was 51%, 5%, 19% and 25%, respectively. Exposure to both mass media and interpersonal counseling had additive effects on EBF as well as on related psychosocial factors, compared with no exposure. For example, EBF prevalence was 26.1 percentage points (pp) higher in the group that received interpersonal counseling only, 3.9 pp higher in the mass media group and 31.8 pp higher in the group that received both interventions. As hypothesized, more than 90% of the total effect of the two interventions on EBF was explained by the psychosocial factors measured. Our findings suggest that combining different behavior change interventions leads to greater changes in psychosocial factors, which in turn positively affects breastfeeding behaviors., (© 2016 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.)

Little information is available about how to build a monitoring system to measure the output of preventive nutrition interventions, such as counselling on infant and young child feeding. This paper describes the Alive & Thrive Vietnam (A&T) project experience in nesting a large-scale project monitoring system into the existing public health information system (e.g. using the system and resources), and in using monitoring data to strengthen service delivery in 15 provinces with A&T franchises. From January 2012 to April 2014, the 780 A&T franchises provided 1,700,000 counselling contacts (~3/4 by commune franchises). In commune franchises in April 2014, 80% of mothers who were pregnant or with children under two years old had been to the counselling service at least one time, and 87% of clients had been to the service earlier. Monitoring data are used to track the progress of the project, make decisions, provide background for a costing study and advocate for the integration of nutrition counselling indicators into the health information system nationwide. With careful attention to the needs of stakeholders at multiple levels, clear data quality assurance measures and strategic feedback mechanisms, it is feasible to monitor the scale-up of nutrition programmes through the existing routine health information system.

Background: Traditionally, impact evaluations have focused primarily on answering what impact programs or interventions have, with less attention to how or why impacts are achieved, or not achieved. The Alive & Thrive initiative, a 6-year program that aims to improve infant and young child feeding (IYCF) practices and reduce stunting in Bangladesh, Ethiopia, and Vietnam, has a specific objective to generate learning on how to achieve and replicate Alive & Thrive's impact., Objective: In Alive & Thrive, theory-driven process evaluation methods are the primary mechanism through which data are generated to address this objective. This paper focuses on the different methodological approaches that are being utilized, to answer the critical "how" questions, and to generate information on the many processes and pathways to program impact., Methods: We identify four key principles in our methodological approach that guides all process evaluation activities: (1) developing detailed program impact pathway (PIP) models, (2) linking data collection to PIPs utilizing mixed methods and multiple data sources, (3) linking evaluation activities with program implementation timelines, and (4) engaging with the program implementation and management teams., Results: Beginning with the launch of the program, we outline the steps that have been taken in the design and implementation of the process evaluations of Alive & Thrive, and provide examples of how these steps have been operationalized in different country contexts., Conclusions: This theory-driven and country- and component-specific approach, centered on careful analysis of PIPs, is intended to generate information on implementation and utilization pathways of Alive & Thrive's interventions, thereby answering the questions of how impacts are achieved, or why not. This evaluation approach is not without challenges, and we highlight some of these key challenges.

The burden of undernutrition in South Asia is greater than anywhere else. Policies and programmatic efforts increasingly address health and non-health determinants of undernutrition. In Nepal, one large-scale integrated nutrition program, Suaahara, aimed to reduce undernutrition among women and children in the 1,000-day period, while simultaneously addressing inequities. In this study, we use household-level process evaluation data ( N = 480) to assess levels of exposure to program inputs and levels of knowledge and practices related to health, nutrition, and water, sanitation, and hygiene (WASH). We also assess Suaahara's effect on the differences between disadvantaged (DAG) and non-disadvantaged households in exposure, knowledge, and practice indicators. All regression models were adjusted for potential confounders at the child-, maternal-, and household levels, as well as clustering. We found a higher prevalence of almost all exposure and knowledge indicators and some practice indicators in Suaahara areas versus comparison areas. A higher proportion of DAG households in Suaahara areas reported exposure, were knowledgeable, and practiced optimal behaviors related to nearly all maternal and child health, nutrition, and WASH indicators than DAG households in non- Suaahara areas and sometimes even than non-DAG households in Suaahara areas. Moreover, differences in some of these indicators between DAG and non-DAG households were significantly smaller in Suaahara areas than in comparison areas. These results indicate that large-scale integrated interventions can influence nutrition-related knowledge and practices, while simultaneously reducing inequities. [ABSTRACT FROM AUTHOR]