Abstract
Given the high Neo-natal mortality in the state of Uttar Pradesh, India, an emphasis has been given to community health workers (CHW). CHW provides behavior push to pregnant women for utilizing health services, through the strategies of household contact and messaging. However, the disparity in health outcomes and interaction of CHW is profoundly affected by socio-economic determinants; still, the evidence is limited. This study aims to explore socio-economic inequities in quantity and quality of contacts by the CHW and its differential effect on health service utilization.
Multistage sampling design identified live births in the last 12 months across the 25 highest-risk districts of Uttar Pradesh(n = 3703). Regression models described the relation between household demographics and CHW contact & specific messaging and interactions of demographics and CHW contact & messaging in predicting health service utilization ( > = 4 antenatal care (ANC) visits, Institutional delivery and 100 iron folic acid (IFA) consumption).
No differential likelihood in contact of CHW and specific messaging is found. Further, association of CHW contacts and specific messaging with health outcomes were significantly affected by socio-economic determinants.2 or more contacts along with specific messaging increased the odds of 4+ ANC to a higher degree among illiterate women compared to literate women(AOR:3.39, 95% CI:2.28-5.04 vs AOR:1.44, 95% CI:1.09-1.92). Similarly, the odds of facility delivery increased to a higher degree among lower wealth women compared to higher wealth women (AOR:3.41, 95% CI:2.47-4.71 vs. AOR:1.53, 95% CI: 1.09-2.15).
Specific messaging, along with CHW contacts, have a higher magnitude of effects on the marginalized population. This study provides evidence for adjusting implementation strategies based on socio-economic determinants to achieve equitable health service utilization. However, further research on training of CHW on heterogeneous interaction is recommended
Key messages
There exists differential effects of quantity and quality of contact by community health workers on health service utilization across the different socio-economic strata. Implementation agencies in the LMIC can reduce health inequity by shifting from coverage-oriented target approach towards more prioritized and focused interaction across socio-economic groups.
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