Evidence map›Paper›PMID 33853844›Full record

ArticleBMJ global health2021

From direct engagement to technical support: a programmatic evolution to improve large community health worker programs in Bihar, India.

Jess Wilhelm, Tanmay Mahapatra, Aritra Das, Sunil Sonthalia, Sridhar Srikantiah, Christine Galavotti, Hemant Shah, Andreea A Creanga

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Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jess WilhelmDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Tanmay MahapatraCARE India Solutions for Sustainable Development, Patna, Bihar, India.
Aritra DasCARE India Solutions for Sustainable Development, Patna, Bihar, India.ORCID 0000-0002-7033-1441
Sunil SonthaliaCARE India Solutions for Sustainable Development, Patna, Bihar, India.
Sridhar SrikantiahCARE India Solutions for Sustainable Development, Patna, Bihar, India.
Christine GalavottiCARE USA, Atlanta, Georgia, USA.
Hemant ShahCARE India Solutions for Sustainable Development, Patna, Bihar, India.
Andreea A CreangaDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA acreang3@jhu.edu.ORCID 0000-0001-5171-006X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn 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.

methodsUsing 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.

resultsWomen'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.

conclusionImplementation of large community-based interventions under the technical support model should be continuously and strategically evaluated and adapted.

Indexed as

Community Health WorkersFamily CharacteristicsCross-Sectional StudiesFemaleHumansIndiaInfantInfant, NewbornLogistic ModelsPregnancycommunity-based surveyepidemiologyhealth services researchmaternal healthpublic health

Identifiers

PMID33853844
PMCPMC8054080

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.