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S R, Neethi Mohan V, Vaidyanathan G, Dash U, Muraleedharan VR. Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand. BMC Public Health 2024; 24:1605. [PMID: 38886705 PMCID: PMC11181544 DOI: 10.1186/s12889-024-18857-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 05/15/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND The utilisation of Reproductive, Maternal, Newborn and Child Health (RMNCH) services remains lower among the Scheduled Tribes (ST) in India than among the rest of the country's population. The tribal population's poorest and least-educated households are further denied access to RMNCH care due to the intersection of their social status, wealth, and education levels. The study analyses the wealth- and education-related inequalities in the utilisation of RMNCH services within the ST population in Odisha and Jharkhand. METHODOLOGY We have constructed two summary measures, namely, the Co-coverage indicator and a modified Composite Coverage Index (CC), to determine wealth- and education-related inequalities in the utilisation of RMNCH indicators within the ST population in Odisha and Jharkhand. The absolute and relative inequalities with respect to wealth and education within the ST population are estimated by employing the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS The results of the study highlight that access to RMNCH services is easier for women who are better educated and belong to wealthier households. The SII and RII values in the co-coverage indicator and modified CCI exhibit an increase in wealth-related inequalities in Odisha between NFHS-4 (2015-16) and NFHS-5 (2019-21) whereas in Jharkhand, the wealth- and education-related absolute and relative inequalities present a reduction between 2016 and 2021. Among the indicators, utilisation of vaccination was high, while the uptake of Antenatal Care Centre Visits and Vitamin A supplementation should be improved. INTERPRETATION The study results underscore the urgent need of targeted policies and interventions to address the inequalities in accessing RMNCH services among ST communities. A multi-dimensional approach that considers the socioeconomic, cultural and geographical factors affecting healthcare should be adopted while formulating health policies to reduce inequalities in access to healthcare.
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Affiliation(s)
- Rekha S
- Department of Humanities and Social Sciences (DoHSS), Indian Institute of Technology (IIT), Madras, India.
| | - Varshini Neethi Mohan
- Department of Humanities and Social Sciences (DoHSS), Indian Institute of Technology (IIT), Madras, India
| | - Girija Vaidyanathan
- Department of Humanities and Social Sciences (DoHSS), Indian Institute of Technology (IIT), Madras, India
| | - Umakant Dash
- Department of Humanities and Social Sciences (DoHSS), Indian Institute of Technology (IIT), Madras, India
- Institute of Rural Management Anand, Anand, Gujarat, India
| | - V R Muraleedharan
- Department of Humanities and Social Sciences (DoHSS), Indian Institute of Technology (IIT), Madras, India
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Hone T, Gonçalves J, Seferidi P, Moreno-Serra R, Rocha R, Gupta I, Bhardwaj V, Hidayat T, Cai C, Suhrcke M, Millett C. Progress towards universal health coverage and inequalities in infant mortality: an analysis of 4·1 million births from 60 low-income and middle-income countries between 2000 and 2019. Lancet Glob Health 2024; 12:e744-e755. [PMID: 38614628 DOI: 10.1016/s2214-109x(24)00040-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/14/2024] [Accepted: 01/19/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Expanding universal health coverage (UHC) might not be inherently beneficial to poorer populations without the explicit targeting and prioritising of low-income populations. This study examines whether the expansion of UHC between 2000 and 2019 is associated with reduced socioeconomic inequalities in infant mortality in low-income and middle-income countries (LMICs). METHODS We did a retrospective analysis of birth data compiled from Demographic and Health Surveys (DHSs). We analysed all births between 2000 and 2019 from all DHSs available for this period. The primary outcome was infant mortality, defined as death within 1 year of birth. Logistic regression models with country and year fixed effects assessed associations between country-level progress to UHC (using WHO's UHC service coverage index) and infant mortality (overall and by wealth quintile), adjusting for infant-level, mother-level, and country-level variables. FINDINGS A total of 4 065 868 births to 1 833 011 mothers were analysed from 177 DHSs covering 60 LMICs between 2000 and 2019. A one unit increase in the UHC index was associated with a 1·2% reduction in the risk of infant death (AOR 0·988, 95% CI 0·981-0·995; absolute measure of association, 0·57 deaths per 1000 livebirths). An estimated 15·5 million infant deaths were averted between 2000 and 2019 because of increases in UHC. However, richer wealth quintiles had larger associated reductions in infant mortality from UHC (quintile 5 AOR 0·983, 95% CI 0·973-0·993) than poorer quintiles (quintile 1 0·991, 0·985-0·998). In the early stages of UHC, UHC expansion was generally beneficial to poorer populations (ie, larger reductions in infant mortality for poorer households [infant deaths per 1000 per one unit increase in UHC coverage: quintile 1 0·84 vs quintile 5 0·59]), but became less so as overall coverage increased (quintile 1 0·64 vs quintile 5 0·57). INTERPRETATION Since UHC expansion in LMICs appears to become less beneficial to poorer populations as coverage increases, UHC policies should be explicitly designed to ensure lower income groups continue to benefit as coverage expands. FUNDING UK National Institute for Health and Care Research.
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Affiliation(s)
- Thomas Hone
- Public Health Policy Evaluation Unit, Imperial College London, London, UK; Instituto de Estudos para Políticas de Saúde, São Paulo, Brazil.
| | - Judite Gonçalves
- Public Health Policy Evaluation Unit, Imperial College London, London, UK; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal
| | - Paraskevi Seferidi
- Public Health Policy Evaluation Unit, Imperial College London, London, UK
| | | | - Rudi Rocha
- Instituto de Estudos para Políticas de Saúde, São Paulo, Brazil; São Paulo School of Business Administration, Fundação Getulio Vargas, São Paulo, Brazil
| | - Indrani Gupta
- Institute of Economic Growth, University of Delhi, Delhi, India
| | - Vinayak Bhardwaj
- South African Medical Research Council and Wits Centre for Health Economics and Decision Science, PRICELESS South Africa, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Taufik Hidayat
- Center for Health Economics and Policy Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia; Department of Economics, University of Sussex, Brighton, UK
| | - Chang Cai
- Public Health Policy Evaluation Unit, Imperial College London, London, UK
| | - Marc Suhrcke
- Centre for Health Economics, University of York, Heslington, York, UK; Luxembourg Institute of Socio-economic Research, Esch-sur-Alzette, Luxembourg
| | - Christopher Millett
- Public Health Policy Evaluation Unit, Imperial College London, London, UK; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal
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Neethi Mohan V, Shirisha P, Vaidyanathan G, Muraleedharan VR. Variations in the prevalence of caesarean section deliveries in India between 2016 and 2021 - an analysis of Tamil Nadu and Chhattisgarh. BMC Pregnancy Childbirth 2023; 23:622. [PMID: 37649006 PMCID: PMC10466745 DOI: 10.1186/s12884-023-05928-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The prevalence of C-sections in India increased from 17.2% to 2006 to 21.5% in 2021. This study examines the variations in C-section prevalence and the factors correlating to these variations in Tamil Nadu (TN) and Chhattisgarh (CG). METHODS Delivery by C-section as the outcome variable and several demographic, socio-economic, and clinical variables were considered as explanatory variables to draw inferences from unit-level data from the National Family Health Survey (NFHS-4; 2015-16 and NFHS-5; 2019-21). Descriptive statistics, bivariate percentage distribution, Pearson's Chi-square test, and multivariate binary logistic regression models were employed. The Slope Index of Inequality (SII) and the Concentration Index (CIX) were used to analyse absolute and relative inequality in C-section rates across wealth quintiles in public- and private-sector institutions. RESULTS The prevalence of C-sections increased across India, TN and CG despite a decrease in pregnancy complications among the study participants. The odds of caesarean deliveries among overweight women were twice (OR = 2.11; 95% CI 1.95-2.29; NFHS-5) those for underweight women. Women aged 35-49 were also twice (OR = 2.10; 95% CI 1.92-2.29; NFHS-5) as likely as those aged 15-24 to have C-sections. In India, women delivering in private health facilities had nearly four times higher odds (OR = 3.90; 95% CI 3.74-4.06; NFHS-5) of having a C-section; in CG, the odds were nearly ten-fold (OR = 9.57; 95% CI:7.51,12.20; NFHS-5); and in TN, nearly three-fold (OR = 2.65; 95% CI-2.27-3.10; NFHS-5) compared to those delivering in public facilities. In public facilities, absolute inequality by wealth quintile in C-section prevalence across India and in CG increased in the five years until 2021, indicating that the rich increasingly delivered via C-sections. In private facilities, the gap in C-section prevalence between the poor (the bottom two quintiles) and the non-poor narrowed across India. In TN, the pattern was inverted in 2021, with an alarming 73% of the poor delivering via C-sections compared to 64% of those classified as non-poor. CONCLUSION The type of health facility (public or private) had the most impact on whether delivery was by C-section. In India and CG, the rich are more likely to have C-sections, both in the private and in the public sector. In TN, a state with good health indicators overall, the poor are surprisingly more likely to have C-sections in the private sector. While the reasons for this inversion are not immediately evident, the implications are worrisome and pose public health policy challenges.
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Affiliation(s)
- Varshini Neethi Mohan
- Department of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India.
| | - P Shirisha
- Department of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India
| | - Girija Vaidyanathan
- Department of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India
| | - V R Muraleedharan
- Department of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India
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The importance of disaggregated data analysis of child undernutrition and its determinants – A district level analysis in the non-high focus state of India. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2022. [DOI: 10.1016/j.cegh.2022.101147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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