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评估第三方报告与敏感行为的密切关系:以密友法在埃塞俄比亚和乌干达测量堕胎发生率。

An Assessment of Third-Party Reporting of Close Ties to Measure Sensitive Behaviors: The Confidante Method to Measure Abortion Incidence in Ethiopia and Uganda.

机构信息

Guttmacher Institute, New York, NY, 10038, USA.

出版信息

Stud Fam Plann. 2021 Dec;52(4):513-538. doi: 10.1111/sifp.12180. Epub 2021 Nov 11.


DOI:10.1111/sifp.12180
PMID:34762302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9298764/
Abstract

Indirect estimation techniques are important tools for measuring sensitive and stigmatized behaviors. This includes third-party reporting methods, which have become increasingly common in the field of abortion measurement, where direct survey approaches notoriously lead to underreporting. This paper provides the first in-depth assessment of one of the most widely used of these techniques in the field of abortion measurement: the confidante method. We outline six key assumptions behind the confidante method and describe how violations of these assumptions can bias resulting estimates. Using data from modules added to the performance monitoring for action surveys in Uganda and Ethiopia in 2018, we compute one-year abortion incidence estimates using the confidante method. We also perform a validation check, using the method to estimate intrauterine device /implant use. Our results revealed implementation problems in both settings. Several of the method's foundational assumptions were violated, and efforts to adjust for these violations either failed or only partially addressed the resulting bias. Our validation check also failed, resulting in a gross overestimate of intrauterine device/implant use. These results have implications more broadly for the potential biases that can be introduced in using third-party reporting of close ties to measure other sensitive or stigmatized behaviors.

摘要

间接估计技术是测量敏感和污名化行为的重要工具。这包括第三方报告方法,在堕胎测量领域,这些方法越来越常见,因为直接调查方法往往导致报告不足。本文对堕胎测量领域中使用最广泛的技术之一——知己法进行了首次深入评估。我们概述了知己法背后的六个关键假设,并描述了违反这些假设如何导致估计结果产生偏差。我们使用 2018 年在乌干达和埃塞俄比亚进行的行动监测绩效调查中添加的模块的数据,使用知己法计算了一年的堕胎发生率估计。我们还进行了验证检查,使用该方法估计宫内节育器/植入物的使用情况。我们的结果显示在这两个环境中都存在实施问题。该方法的几个基本假设都被违反了,而试图调整这些违规行为的努力要么失败,要么只是部分解决了由此产生的偏差。我们的验证检查也失败了,导致宫内节育器/植入物使用的严重高估。这些结果更广泛地表明,在使用亲密关系的第三方报告来衡量其他敏感或污名化行为时,可能会引入潜在的偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/ba7f48b93cc0/SIFP-52-513-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/1af5e7936022/SIFP-52-513-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/09f2c954fd6a/SIFP-52-513-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/e04841711e12/SIFP-52-513-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/b0f2242ec0aa/SIFP-52-513-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/ba7f48b93cc0/SIFP-52-513-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/1af5e7936022/SIFP-52-513-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/09f2c954fd6a/SIFP-52-513-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/e04841711e12/SIFP-52-513-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/b0f2242ec0aa/SIFP-52-513-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f55/9298764/ba7f48b93cc0/SIFP-52-513-g004.jpg

相似文献

[1]
An Assessment of Third-Party Reporting of Close Ties to Measure Sensitive Behaviors: The Confidante Method to Measure Abortion Incidence in Ethiopia and Uganda.

Stud Fam Plann. 2021-12

[2]
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Popul Health Metr. 2023-7-25

[3]
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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[4]
An Application of the Confidante Method to Estimate Induced Abortion Incidence in Java, Indonesia.

Int Perspect Sex Reprod Health. 2020-9-29

[5]
Novel approaches to estimating abortion incidence.

Reprod Health. 2019-4-18

[6]
Social Network-Based Induced Abortion Incidence Estimation in Burkina Faso: Examining the Impact of the Network Generating Question.

Stud Fam Plann. 2022-12

[7]
Inequities in the incidence and safety of abortion in Nigeria.

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[8]
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[9]
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[10]
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引用本文的文献

[1]
Assessing induced abortion underreporting in restrictive settings using prospective morbidity surveys from Kenya, Liberia, and Sierra Leone.

Sci Rep. 2025-8-6

[2]
Addressing Abortion Underreporting in Surveys with the List Experiment: Lifetime and Five-Year Abortion Incidence with Multivariate Estimation of Socio-demographic Associations in two U.S. States.

Popul Res Policy Rev. 2025-2

[3]
Estimating the Social Visibility of Abortions in Uganda and Ethiopia Using the Game of Contacts.

Stud Fam Plann. 2024-12

[4]
Direct and indirect estimation of adolescent sexual intercourse and contraceptive use in Rajasthan India: an application of the best friend methodology.

BMC Womens Health. 2024-6-27

[5]
Abortion incidence and safety in Niger in 2021: Findings from a nationally representative cross-sectional survey of reproductive-aged women using direct and indirect measurement approaches.

PLOS Glob Public Health. 2023-10-13

[6]
Self-reported abortion experiences in Ethiopia and Uganda, new evidence from cross-sectional community-based surveys.

PLOS Glob Public Health. 2023-9-8

[7]
Estimating induced abortion incidence and the use of non-recommended abortion methods and sources in two provinces of the Democratic Republic of the Congo (Kinshasa and Kongo Central) in 2021: results from population-based, cross-sectional surveys of reproductive-aged women.

Sex Reprod Health Matters. 2023-12

[8]
Describing the safety of abortion at the population level using network-based survey approaches.

Reprod Health. 2022-12-27

[9]
Induced abortion incidence and safety in Burkina Faso in 2020: Results from a population-based survey using direct and social network-based estimation approaches.

PLoS One. 2022

[10]
An investigation of the impact of the Global Gag Rule on women's sexual and reproductive health outcomes in Uganda: a difference-in-differences analysis.

Sex Reprod Health Matters. 2022-12

本文引用的文献

[1]
Disclosure to social network members among abortion-seeking women in low- and middle-income countries with restrictive access: a systematic review.

Reprod Health. 2021-6-7

[2]
Errors in reported ages and dates in surveys of adult mortality: A record linkage study in Niakhar (Senegal).

Popul Stud (Camb). 2021-7

[3]
Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d'Ivoire, and Rajasthan, India.

Popul Health Metr. 2020-10-19

[4]
An Application of the Confidante Method to Estimate Induced Abortion Incidence in Java, Indonesia.

Int Perspect Sex Reprod Health. 2020-9-29

[5]
Abortion Reporting in the United States: An Assessment of Three National Fertility Surveys.

Demography. 2020-6

[6]
Induced abortion incidence and safety in Côte d'Ivoire.

PLoS One. 2020-5-7

[7]
Estimating the incidence of abortion: using the Abortion Incidence Complications Methodology in Ghana, 2017.

BMJ Glob Health. 2020

[8]
Inequities in the incidence and safety of abortion in Nigeria.

BMJ Glob Health. 2020

[9]
Measurement of abortion safety using community-based surveys: Findings from three countries.

PLoS One. 2019-11-7

[10]
Evaluating Sampling Biases from Third-party Reporting as a Method for Improving Survey Measures of Sensitive Behaviors.

Soc Networks. 2019-10

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