ArticleJournal of global health2020
Evaluation of a large-scale reproductive, maternal, newborn and child health and nutrition program in Bihar, India, through an equity lens.
Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02726230 (Bihar Family Health Initiative), which is not on this map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Bihar Family Health Initiative (Ananya)
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Acceptability and operational feasibility of community health worker-led home phototherapy treatment for neonatal hyperbilirubinemia in rural Bangladesh.BMC pediatrics · 2024Article
- Saying and doing are different things: a scoping review on how health equity is conceptualized when considering healthcare system performance.International journal for equity in health · 2023Article
- Improving the precision of maternal, newborn, and child health impact through geospatial analysis of the association of contextual and programmatic factors with health trends in Bihar, India.Journal of global health · 2022Article
- Implementing Professional Midwife-Led Maternity Care in India for Healthy Pregnant Women: A Community Case Study.Frontiers in public health · 2022Article
- Health layering of self-help groups: impacts on reproductive, maternal, newborn and child health and nutrition in Bihar, India.Journal of global health · 2020Article
- Learning fromJournal of global health · 2020Review
- Impact of theJournal of global health · 2020Article
- Improving primary health care delivery in Bihar, India: Learning from piloting and statewide scale-up ofJournal of global health · 2020Article
- Geospatial variations in trends of reproductive, maternal, newborn and child health and nutrition indicators at block level in Bihar, India, during scale-up ofJournal of global health · 2020Article
- Health impact of self-help groups scaled-up statewide in Bihar, India.Journal of global health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite increasing focus on health inequities in low- and middle income countries, significant disparities persist. We analysed impacts of a statewide maternal and child health program among the most compared to the least marginalised women in Bihar, India.
methodsUtilising survey-weighted logistic regression, we estimated programmatic impact using difference-in-difference estimators from Mathematica data collected at the beginning (2012, n = 10 174) and after two years of program implementation (2014, n = 9611). We also examined changes in disparities over time using eight rounds of Community-based Household Surveys (CHS) (2012-2017, n = 48 349) collected by CARE India.
resultsAt baseline for the Mathematica data, least marginalised women generally performed desired health-related behaviours more frequently than the most marginalised. After two years, most disparities persisted. Disparities increased for skilled birth attendant identification [+16.2% (most marginalised) vs +32.6% (least marginalized),
conclusionsDisparities observed at baseline generally persisted throughout program implementation. The most significant disparities were observed amongst behaviours dependent upon access to care. Changes in disparities largely were due to improvements for the least marginalised women without improvements for the most marginalised. Equity-based assessments of programmatic impacts, including those of universal health approaches, must be undertaken to monitor disparities and to ensure equitable and sustainable benefits for all. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.
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