Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d'Ivoire, and Rajasthan, India.
Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d'Ivoire, and Rajasthan, India.
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DOI：
10.1186/s12963-020-00235-y
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发表时间：
2020-10-19
影响因子：
3.3
通讯作者：
Moreau C
中科院分区：
文献类型：
--
作者：
Bell SO;Shankar M;Omoluabi E;Khanna A;Andoh HK;OlaOlorun F;Ahmad D;Guiella G;Ahmed S;Moreau C
监测堕胎率与人口和公共卫生因素高度相关，但由于缺乏完整的国家卫生设施服务统计数据和自我报告的调查数据存在偏差，其可靠估计充满不确定性。在这项研究中，我们的目标是测试的confidante方法估计堕胎发生率在尼日利亚，科特迪瓦，和拉贾斯坦邦，印度，并制定方法来调整违反假设。在每种情况下进行的基于人口的调查中，育龄女性答卷人除了报告自己的经历外，还分别报告了她们两个最亲密的知己的堕胎经历。我们使用描述性分析和基于设计的F检验来检验是否违反了方法假设。使用事后分析技术，我们纠正了红颜知己样本中的偏差，以提高从这些数据中得出的流产发生率估计值的有效性和精确度。结果表明，不完全的红颜知己堕胎知识的传播，一个有偏见的红颜知己样本，但减少社会期望偏差时，报告红颜知己的堕胎发生率一旦调整的假设违反。在这三种情况下，假设得到满足的程度各不相同。在尼日利亚，每1000名育龄妇女的1年妊娠切除率为18.7（95%置信区间（CI）14.9-22.5），科特迪瓦为18.8（95% CI 11.8-25.8），印度为7.0（95% CI 4.6-9.5）。在尼日利亚、科特迪瓦和印度的拉贾斯坦邦，第一次红颜知己的1年调整后流产发生率分别为35.1（95% CI 31.1-39.1）、31.5（95% CI 24.8-38.1）和15.2（95% CI 6.1-24.4）。两个知己的发病率更接近知己一个比受访者的发病率。在所有三个国家，调整后的红颜知己第一和第二发病率估计值均显着高于受访者的发病率。研究结果表明，知己的方法可能会提供一个机会，以解决一些堕胎相关的数据缺陷，但需要建模方法，以纠正由于违反基于社交网络的方法假设的偏见。这些方法的效果因地理和社会背景而异，表明在堕胎受到法律和社会限制的环境中效果可能更好。
Monitoring abortion rates is highly relevant for demographic and public health considerations, yet its reliable estimation is fraught with uncertainty due to lack of complete national health facility service statistics and bias in self-reported survey data. In this study, we aim to test the confidante methodology for estimating abortion incidence rates in Nigeria, Cote d’Ivoire, and Rajasthan, India, and develop methods to adjust for violations of assumptions. In population-based surveys in each setting, female respondents of reproductive age reported separately on their two closest confidantes’ experience with abortion, in addition to reporting about their own experiences. We used descriptive analyses and design-based F tests to test for violations of method assumptions. Using post hoc analytical techniques, we corrected for biases in the confidante sample to improve the validity and precision of the abortion incidence estimates produced from these data. Results indicate incomplete transmission of confidante abortion knowledge, a biased confidante sample, but reduced social desirability bias when reporting on confidantes' abortion incidences once adjust for assumption violations. The extent to which the assumptions were met differed across the three contexts. The respondent 1-year pregnancy removal rate was 18.7 (95% confidence interval (CI) 14.9–22.5) abortions per 1000 women of reproductive age in Nigeria, 18.8 (95% CI 11.8–25.8) in Cote d’Ivoire, and 7.0 (95% CI 4.6–9.5) in India. The 1-year adjusted abortion incidence rates for the first confidantes were 35.1 (95% CI 31.1–39.1) in Nigeria, 31.5 (95% CI 24.8–38.1) in Cote d’Ivoire, and 15.2 (95% CI 6.1–24.4) in Rajasthan, India. Confidante two’s rates were closer to confidante one incidences than respondent incidences. The adjusted confidante one and two incidence estimates were significantly higher than respondent incidences in all three countries. Findings suggest that the confidante approach may present an opportunity to address some abortion-related data deficiencies but require modeling approaches to correct for biases due to violations of social network-based method assumptions. The performance of these methodologies varied based on geographical and social context, indicating that performance may be better in settings where abortion is legally and socially restricted.
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DOI：
10.1177/0081175016665425
发表时间：
2016-01-01
期刊：
SOCIOLOGICAL METHODOLOGY, VOL 46
影响因子：
--
作者：
Feehan, Dennis M.;Salganiky, Matthew J.
通讯作者：
Salganiky, Matthew J.
影响因子：
5.4
作者：
Rossier, C;Guiella, G;Thiéba, B
通讯作者：
Thiéba, B
影响因子：
6.3
作者：
Lensvelt-Mulders, GJLM;Hox, JJ;Maas, CJM
通讯作者：
Maas, CJM
影响因子：
2.1
作者：
Jones, Rachel K.;Kost, Kathryn
通讯作者：
Kost, Kathryn
影响因子：
2.1
作者：
Rossier, C
通讯作者：
Rossier, C