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Jung S, Chi H, Eom YJ, Subramanian S, Kim R. Multilevel analysis of determinants in postnatal care utilisation among mother-newborn pairs in India, 2019-21. J Glob Health 2024; 14:04085. [PMID: 38721673 PMCID: PMC11079700 DOI: 10.7189/jogh.14.04085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2024] Open
Abstract
Background Postnatal care (PNC) utilisation within 24 hours of delivery is a critical component of health care services for mothers and newborns. While substantial geographic variations in various health outcomes have been documented in India, there remains a lack of understanding regarding PNC utilisation and underlying factors accounting for these geographic variations. In this study, we aimed to partition and explain the variation in PNC utilisation across multiple geographic levels in India. Methods Using India's 5th National Family Health Survey (2019-21), we conducted four-level logistic regression analyses to partition the total geographic variation in PNC utilisation by state, district, and cluster levels, and to quantify how much of theses variations are explained by a set of 12 demographic, socioeconomic, and pregnancy-related factors. We also conducted analyses stratified by selected states/union territories. Results Among 149 622 mother-newborn pairs, 82.29% of mothers and 84.92% of newborns were reported to have received PNC within 24 hours of delivery. In the null model, more than half (56.64%) of the total geographic variation in mother's PNC utilisation was attributed to clusters, followed by 26.06% to states/union territories, and 17.30% to districts. Almost 30% of the between-state variation in mother's PNC utilisation was explained by the demographic, socioeconomic, and pregnancy-related factors (i.e. state level variance reduced from 0.486 (95% confidence interval (CI) = 0.238, 0.735) to 0.320 (95% CI = 0.152, 0.488)). We observed consistent results for newborn's PNC utilisation. State-specific analyses showed substantial geographic variation attributed to clusters across all selected states/union territories. Conclusions Our findings highlight the consistently large cluster variation in PNC utilisation that remains unexplained by compositional effects. Future studies should explore contextual drivers of cluster variation in PNC utilisation to inform and design interventions aimed to improve maternal and child health.
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Affiliation(s)
- Sohee Jung
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Hyejun Chi
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Yun-Jung Eom
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - S.V. Subramanian
- Harvard Center for Population and Development Studies, Cambridge, Massachusetts, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Rockli Kim
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
- Division of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea
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Birhane BM, Bayih WA, Mekonen DK, Chanie ES, Demis S, Shimelis H, Asferie WN, Abebe E, Addisu D, Nibret G, Endalamaw A, Munye T, Jember DA, Nebiyu S, Tiruneh YM, Belay DM. Level of Postnatal Checkup in Ethiopia - Implications for Child Health Services. Front Pediatr 2022; 10:895339. [PMID: 35774098 PMCID: PMC9237481 DOI: 10.3389/fped.2022.895339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background High neonatal mortality rates continue to be a major public health issue in Ethiopia. Despite different maternal and neonatal care interventions, neonatal mortality in Ethiopia is at a steady state. This could be due to the low utilization of neonatal checkups. Thus, nationally assessing the level and predictors of postnatal checkups could provide important information for further improving neonatal healthcare services. Materials and Methods A secondary data analysis of the 2016 Ethiopia Demographic and Health Survey (EDHS) was performed on 7,586 women who had live births in the 2 years before the survey. All variables with a p-value of ≤0.25 in the bivariable analysis were entered into the final model for multivariable analysis, and the level of statistical significance was declared at a P-value of <0.05. Results According to the national survey, only 8.3% [95% CI: 8.19, 8.41] of neonates received postnatal checkups. About two-thirds of women, 62.8% had antenatal care visits, 67.9%, gave birth at home, and 95.7% were unaware of neonatal danger signs. Distance from health care institutions [AOR = 1.42; 95% CI: 1.06, 1.89], giving birth in a healthcare facility [AOR = 1.55; 95% CI: 1.12, 2.15], antenatal care visit [AOR = 3.0; 95% CI: 1.99, 4.53], and neonatal danger signs awareness [AOR = 3.06; 95% CI: 2.09, 4.5] were all associated with postnatal care visits. Conclusion The number of neonates who had a postnatal checkup was low. Increasing antenatal care visit utilization, improving institutional delivery, raising awareness about neonatal danger signs, increasing access to health care facilities, and implementing home-based neonatal care visits by healthcare providers could all help to improve postnatal checkups.
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Affiliation(s)
| | | | | | | | - Solomon Demis
- College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Habtamu Shimelis
- College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | | | - Eskeziaw Abebe
- College of Health Sciences, Woldia University, Woldia, Ethiopia
| | - Dagne Addisu
- College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Gedefaye Nibret
- College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Aklilu Endalamaw
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- School of Health Sciences, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Tigabu Munye
- College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | | | - Samuel Nebiyu
- College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
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