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Social capital and utilization of immunization service: A multilevel analysis in rural Uttar Pradesh, India.

ABSTRACT: The National Health Policy (2017) of India advocates Universal Health Coverage through inclusive growth, decentralization, and rebuilding a cohesive community through a participatory process. To achieve this goal, understanding social organization, and community relationships - defined as social capital - is critical. This study aimed to explore the influence of individual and community-level social capital on a critical health system performance indicator, three-doses of diphtheria-pertussis-tetanus (DPT3) immunization among 12-59 month children, in rural Uttar Pradesh (UP), India. The analysis is based on a cross-sectional survey from two districts of UP, which included 2239 children 12-59 months of age (level 1) from 1749 households (level 2) nested within 346 communities (level 3). We used multilevel confirmatory factor analysis to generate standardized factor scores of social capital constructs (Organizational Participation, Social Support, Trust and Social Cohesion) of the household heads and mothers both at individual and community level, which were then used in the multilevel logistic regressions to explore the independent and contextual effect of social capital on a child's DPT3 immunization status. The result showed only community-level Social Cohesion of the mothers was associated with a child's DPT3 immunization status (Adjusted odds ratio = 1.25, 95% confidence interval = 1.12-1.54; p = 0.04). Beyond its independent effect on utilization of immunization service, the collective Social Cohesion of the mothers significantly modified the relationship of child age, mother's knowledge of immunization, community wealth, and communities' contact with frontline workers with immunization status of the child. With a strong theoretical underpinning, the result substantially contributes to understanding the individual and contextual predictors of immunization service utilization and further advancing the literature of social capital in India. This study can serve as a starting point to catalyze social capital within the health interventions for achieving wellbeing and the collective development of society.

SUBMITTER: Hasan MZ

PROVIDER: S-EPMC7211897 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Social capital and utilization of immunization service: A multilevel analysis in rural Uttar Pradesh, India.

Hasan Md Zabir MZ Dean Lorraine T LT Kennedy Caitlin E CE Ahuja Akshay A Rao Krishna D KD Gupta Shivam S

SSM - population health 20200123

The National Health Policy (2017) of India advocates Universal Health Coverage through inclusive growth, decentralization, and rebuilding a cohesive community through a participatory process. To achieve this goal, understanding social organization, and community relationships - defined as social capital - is critical. This study aimed to explore the influence of individual and community-level social capital on a critical health system performance indicator, three-doses of diphtheria-pertussis-te ...[more]

PMID: 32405528

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Project description:In the absence of adequate social security, out-of-pocket health expenditure compels households to adopt coping strategies, such as utilizing savings, selling assets, or acquiring external financial support (EFS) by borrowing with interest. Households' probability of acquiring EFS and its amount (intensity) depends on its social capital - the nature of social relationships and resources embedded within social networks. This study examines the effect of social capital on the probability and intensity of EFS during health events in Uttar Pradesh (UP), India. The analysis used data from a cross-sectional survey of 6218 households, reporting 3066 healthcare events, from two districts of UP. Household heads (HH) reported demographic, socioeconomic, and health-related information, including EFS, for each household member. Self-reported data from Shortened and Adapted Social Capital Assessment Tool in India (SASCAT-I) was used to generate four unique social capital measures (organizational participation, social support, trust, and social cohesion) at HH and community-level, using multilevel confirmatory factor analysis. After descriptive analysis, two-part mixed-effect models were implemented to estimate the probability and intensity of EFS as a function of social capital measures, where multilevel mixed-effects probit regression was used as the first-part and multilevel mixed-effects linear model with log link and gamma distribution as the second-part. Controlling for all covariates, the probability of acquiring EFS significantly increased (p = 0.04) with higher social support of the HH and significantly decreased (p = 0.02) with higher community social cohesion. Conditional to receiving any EFS, higher social trust of the HH resulted in higher intensity of EFS (p = 0.09). Social support and trust may enable households to cope up with financial stress. However, controlling for the other dimensions of social capital, high cohesiveness with the community might restrict a household's access to external resources demonstrating the unintended effect of social capital exerted by formal or informal social control.

Project description:ObjectiveHaving the world's second-largest tobacco-consuming population, tobacco control is a priority agenda of the Indian Government. Yet, there is no evidence of how peer influence and nature of social relationships-defined as social capital-affect tobacco use. This study aimed to explore the role of social capital and peer influence on tobacco consumption among household heads in rural Uttar Pradesh (UP), India.Design and settingThis study was embedded within the baseline evaluation of Project Samuday. A cross-sectional multistage cluster survey was implemented in six census blocks of Hardoi and Sitapur districts of UP from June to August 2017. Self-reported tobacco consumption status of randomly selected 6218 household heads (≥18 years; men vs women=5312 vs 906) was assessed from 346 rural communities. Peer influence of tobacco use was measured by the non-self cluster proportion of tobacco consumption among respondents. Community engagement, social support, trust and social cohesion were separately measured as unique facets of social capital both at individual and community levels using the Shortened Adapted Social Capital Assessment Tool in India (SASCAT-I). The explanatory power of covariates was assessed using gender-stratified generalised estimating equations (GEE) with robust-variance estimator.ResultTobacco consumption patterns were starkly different for men and women (71% vs 14%). The peer influence only affected men (adjusted odds ratio (AOR)=1.10, 95% CI: 1.05 to 1.16, p<0.01), whereas women were more likely to consume tobacco if they were more engaged with community organisations (AOR=1.33, 95% CI=1.07 to 1.66, p<0.01).ConclusionGender alters the way social engagement affects tobacco use in rural India. Countering peer influence on Indian men should be prioritised as a tobacco control strategy. Moreover, as gender mainstreaming is a critical egalitarian agenda in India, further research is needed to understand how social engagement affects tobacco consumption behaviours among women.

Project description:This paper explores the multilevel factors associated with maternal health utilization in India's most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program.This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes.The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization.The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband's schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband's schooling (OR 1.49, 95% CI 1.26-1.76), having a bank account (OR 1.36, 95% CI 1.11-1.68), and owning a house (OR 2.28, 95% CI 1.85-2.80). Factors affecting antenatal care include the woman's literacy (OR 1.49, 95% CI 1.28-1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10-1.77), and owning a house (OR 2.83, 95% CI 2.27-3.53). Home delivery tends to be associated with woman's literacy (OR 0.62, 95% CI 0.54-0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26-1.73).Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions.

Project description:BackgroundThe coronavirus (COVID-19) pandemic may substantially affect health systems, but little primary evidence is available on disruption of health and nutrition services.ObjectivesThis study aimed to 1) determine the extent of disruption in provision and utilization of health and nutrition services induced by the pandemic in Uttar Pradesh, India; and 2) identify how adaptations were made to restore service provision in response to the pandemic.MethodsWe conducted longitudinal surveys with frontline workers (FLWs, n = 313) and mothers of children <2 y old (n = 659) in December 2019 (in-person) and July 2020 (by phone). We also interviewed block-level managers and obtained administrative data. We examined changes in service provision and utilization using Wilcoxon matched-pairs signed-rank tests.ResultsCompared with prepandemic, service provision reduced substantially during lockdown (83-98 percentage points, pp), except for home visits and take-home rations (∼30%). Most FLWs (68%-90%) restored service provision in July 2020, except for immunization and hot cooked meals (<10%). Administrative data showed similar patterns of disruption and restoration. FLW fears, increased workload, inadequate personal protective equipment (PPE), and manpower shortages challenged service provision. Key adaptations made to provide services were delivering services to beneficiary homes (∼40%-90%), social distancing (80%), and using PPE (40%-50%) and telephones for communication (∼20%). On the demand side, service utilization reduced substantially (40-80 pp) during the lockdown, but about half of mothers received home visits and food supplementation. Utilization for most services did not improve after the lockdown, bearing the challenges of limited travel (30%), nonavailability of services (26%), and fear of catching the virus when leaving the house (22%) or meeting service providers (14%).ConclusionsCOVID-19 disrupted the provision and use of health and nutrition services in Uttar Pradesh, India, despite adaptations to restore services. Strengthening logistical support, capacity enhancement, performance management, and demand creation are needed to improve service provision and utilization during and post-COVID-19.

Project description:BackgroundIn 2018, 875 000 under-five children died in India with children from poor families and rural communities disproportionately affected. Community health centres are positioned to improve access to quality child health services but capacity is often low and the systems for improvements are weak.MethodsSecondary analysis of child health program data from the Uttar Pradesh Technical Support Unit was used to delineate how program activities were temporally related to public facility readiness to provide child health services including inpatient admissions. Fifteen community health centres were mapped regarding capacity to provide child health services in July 2015. Mapped domains included human resources and training, infrastructure, equipment, drugs/supplies and child health services. Results were disseminated to district health managers. Six months following dissemination, Clinical Support Officers began regular supportive supervision and gaps were discussed monthly with health managers. Senior pediatric residents mentored medical officers over a three-month period. Improvements were assessed using a composite score of facility readiness for child health services in July 2016. Usage of outpatient and inpatient services by under-five children was also assessed.ResultsThe median essential composition score increased from 0.59 to 0.78 between July 2015 and July 2016 (maximum score of 1) and the median desirable composite increased from 0.44 to 0.58. The components contributing most to the change were equipment, drugs and supplies and service provision. Scores for trained human resources and infrastructure did not change between assessments. The number of facilities providing some admission services for sick children increased from 1 in July 2015 to 9 in October 2016.ConclusionsFacility readiness for the provision of child health services in Uttar Pradesh was improved with relatively low inputs and targeted assessment. However, these improvements were only translated into admissions for sick children when clinical mentoring was included in the support provided to facilities.

Dataset Information

Social capital and utilization of immunization service: A multilevel analysis in rural Uttar Pradesh, India.

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Social capital and utilization of immunization service: A multilevel analysis in rural Uttar Pradesh, India.

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