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Health layering of self-help groups: impacts on reproductive, maternal, newborn and child health and nutrition in Bihar, India

Authors :
Kala M, Mehta
Laili, Irani
Indrajit, Chaudhuri
Tanmay, Mahapatra
Janine, Schooley
Sridhar, Srikantiah
Safa, Abdalla
Victoria, Ward
Suzan L, Carmichael
Jason, Bentley
Andreea, Creanga
Jess, Wilhelm
Usha Kiran, Tarigopula
Debarshi, Bhattacharya
Yamini, Atmavilas
Priya, Nanda
Yingjie, Weng
Kevin T, Pepper
Gary L, Darmstadt
Source :
Journal of Global Health
Publication Year :
2021

Abstract

Background Self-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. Methods A 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. Results In 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. Conclusions Health 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 base for further layering of health onto the SHG platform for scale-level health change. Study registration ClinicalTrials.gov number NCT02726230

Details

ISSN :
20472986
Volume :
10
Issue :
2
Database :
OpenAIRE
Journal :
Journal of global health
Accession number :
edsair.pmid..........9833ca7fa1d80763046d265f86dc47d0