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2016 年至 2021 年印度剖宫产率的变化——泰米尔纳德邦和恰蒂斯加尔邦的分析。

Variations in the prevalence of caesarean section deliveries in India between 2016 and 2021 - an analysis of Tamil Nadu and Chhattisgarh.

机构信息

Department of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India.

出版信息

BMC Pregnancy Childbirth. 2023 Aug 30;23(1):622. doi: 10.1186/s12884-023-05928-4.


DOI:10.1186/s12884-023-05928-4
PMID:37649006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10466745/
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.

摘要

背景:印度的剖宫产率从 2006 年的 17.2%上升到 2021 年的 21.5%。本研究考察了泰米尔纳德邦(TN)和恰蒂斯加尔邦(CG)剖宫产率的变化及其相关因素。

方法:以剖宫产为结局变量,将几个人口统计学、社会经济和临床变量作为解释变量,从国家家庭健康调查(NFHS-4;2015-16 年和 NFHS-5;2019-21 年)的单位水平数据中得出推论。采用描述性统计、双变量百分比分布、皮尔逊卡方检验和多变量二项逻辑回归模型。使用斜率指数不平等(SII)和集中指数(CIX)来分析公共和私营部门机构中剖宫产率在财富五分位数之间的绝对和相对不平等。

结果:尽管研究参与者的妊娠并发症有所减少,但印度、TN 和 CG 的剖宫产率仍有所上升。超重妇女剖宫产的几率是体重不足妇女的两倍(OR=2.11;95%CI 1.95-2.29;NFHS-5)。35-49 岁的妇女也有两倍(OR=2.10;95%CI 1.92-2.29;NFHS-5)的几率进行剖宫产,而 15-24 岁的妇女则是两倍。在印度,在私立卫生机构分娩的妇女进行剖宫产的几率高出近四倍(OR=3.90;95%CI 3.74-4.06;NFHS-5);在 CG,几率几乎增加了十倍(OR=9.57;95%CI:7.51,12.20;NFHS-5);在 TN,几率增加了近三倍(OR=2.65;95%CI-2.27-3.10;NFHS-5)与在公立机构分娩的妇女相比。在公立机构中,印度和 CG 的剖宫产率在财富五分位数之间的绝对不平等在 2021 年的五年内有所增加,表明富人越来越多地通过剖宫产分娩。在私立机构中,印度的贫富(最低两个五分位数)之间的剖宫产率差距缩小。在 TN,2021 年的情况发生了逆转,令人震惊的是,73%的贫困人口通过剖宫产分娩,而只有 64%的非贫困人口是这样。

结论:卫生机构的类型(公立或私立)对分娩方式是否为剖宫产有最大影响。在印度和 CG,无论在私立还是公立部门,富人都更有可能进行剖宫产。在 TN,这个整体健康指标良好的邦,令人惊讶的是,在私立部门,贫困人口更有可能进行剖宫产。虽然这种逆转的原因尚不清楚,但这种情况令人担忧,并对公共卫生政策构成挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/46581d621b81/12884_2023_5928_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/82828e80ac3d/12884_2023_5928_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/2e6c4265ac55/12884_2023_5928_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/b7780080f7b4/12884_2023_5928_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/46581d621b81/12884_2023_5928_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/82828e80ac3d/12884_2023_5928_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/2e6c4265ac55/12884_2023_5928_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/b7780080f7b4/12884_2023_5928_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d2/10466745/46581d621b81/12884_2023_5928_Fig5_HTML.jpg

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本文引用的文献

[1]
Spatial distribution of caesarean deliveries and their determinants in Bangladesh: evidence from linked data of population and health facility survey.

Lancet Reg Health Southeast Asia. 2023-1-31

[2]
Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016-2017 Haitian Demographic and Health Survey.

Trop Med Health. 2023-4-17

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Is there an increased risk of cesarean section in obese women after induction of labor? A retrospective cohort study.

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Geographical variability and factors associated with caesarean section delivery in India: a comparative assessment of Bihar and Tamil Nadu.

BMC Public Health. 2021-9-21

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Assessment of Variation in Cesarean Delivery Rates Between Public and Private Health Facilities in India From 2005 to 2016.

JAMA Netw Open. 2020-8-3

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'No to unnecessary caesarean sections': Evaluation of a mass-media campaign on women's knowledge, attitude and intention for mode of delivery.

PLoS One. 2020-8-11

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