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估算堕胎率并了解社区领袖和医疗服务提供者的观点:土耳其伊斯坦布尔一项混合方法研究的结果

Estimating abortion prevalence and understanding perspectives of community leaders and providers: Results from a mixed-method study in Istanbul, Turkey.

作者信息

Huber-Krum Sarah, Karadon Duygu, Kurutas Sebahat, Rohr Julia, Baykal Simay Sevval, Okcuoglu Bahar Ayca, Esmer Yilmaz, Canning David, Shah Iqbal

机构信息

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Bahçeşehir University, Istanbul, Turkey.

出版信息

Womens Health (Lond). 2020 Jan-Dec;16:1745506520953353. doi: 10.1177/1745506520953353.

DOI:10.1177/1745506520953353
PMID:32853055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7457705/
Abstract

OBJECTIVES

Abortions are difficult to measure; yet, accurate estimates are critical in developing health programs. We implemented and tested the validity of a list experiment of lifetime abortion prevalence in Istanbul, Turkey. We complemented our findings by understanding community perspectives using in-depth interviews with key informants.

METHODS

We conducted a household survey between March and June 2018. In a random sample of 4040 married women aged 16-44 years, we implemented a double list experiment. We averaged difference in mean values calculations between the average counts for each list to provide an estimated lifetime abortion prevalence. We conducted in-depth interviews with 16 key informants to provide insights into possible explanations for the quantitative results.

RESULTS

The abortion prevalence estimate from the list experiment was close to that of the direct question (3.25% vs 2.97%). Key informant narratives suggest that differing definitions of abortion, inaccessibility, provider bias, lack of knowledge of abortion laws and safety, and religious norms could contribute to under-reporting. Results from the qualitative study suggest that abortion is largely inaccessible and highly stigmatized.

CONCLUSION

Measuring experiences of abortion is critical to understanding women's needs and informing harm-reduction strategies; however, in highly stigmatized settings, researchers may face unique challenges in obtaining accurate reports.

摘要

目的

堕胎情况难以衡量;然而,准确的估计对于制定卫生项目至关重要。我们实施并测试了土耳其伊斯坦布尔终生堕胎患病率列表实验的有效性。我们通过对关键信息提供者进行深入访谈以了解社区观点来补充我们的研究结果。

方法

我们在2018年3月至6月期间进行了一项家庭调查。在4040名年龄在16 - 44岁的已婚女性随机样本中,我们实施了双重列表实验。我们对每个列表的平均计数之间的均值差异计算求平均值,以提供估计的终生堕胎患病率。我们对16名关键信息提供者进行了深入访谈,以深入了解定量结果的可能解释。

结果

列表实验得出的堕胎患病率估计值与直接提问得出的结果相近(3.25%对2.97%)。关键信息提供者的叙述表明,堕胎定义不同、难以获得服务、提供者偏见、对堕胎法律和安全性缺乏了解以及宗教规范可能导致报告不足。定性研究结果表明,堕胎在很大程度上难以获得且备受污名化。

结论

衡量堕胎经历对于了解女性需求和为减少伤害策略提供信息至关重要;然而,在高度污名化的环境中,研究人员在获取准确报告时可能面临独特挑战。

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Reducing under-reporting of stigmatized health events using the List Experiment: results from a randomized, population-based study of abortion in Liberia.利用列表实验减少对受污名化健康事件的漏报:利比里亚一项基于人群的堕胎随机研究结果
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Contraception. 2017 Feb;95(2):154-160. doi: 10.1016/j.contraception.2016.07.190. Epub 2016 Jul 29.
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本文引用的文献

1
Estimating the incidence of abortion: using the Abortion Incidence Complications Methodology in Ghana, 2017.估算堕胎发生率:2017 年在加纳使用堕胎发生率并发症方法。
BMJ Glob Health. 2020 Apr 9;5(4):e002130. doi: 10.1136/bmjgh-2019-002130. eCollection 2020.
2
Reducing underreporting of stigmatized pregnancy outcomes: results from a mixed-methods study of self-managed abortion in Texas using the list-experiment method.减少耻辱化妊娠结局漏报:使用名单实验法对德克萨斯州自主堕胎进行混合方法研究的结果。
BMC Womens Health. 2019 Sep 3;19(1):113. doi: 10.1186/s12905-019-0812-4.
3
How Do Pronatalist Policies Impact Women's Access to Safe Abortion Services in Turkey?生育主义政策如何影响土耳其女性获得安全堕胎服务的机会?
Int J Health Serv. 2019 Oct;49(4):799-816. doi: 10.1177/0020731419855877. Epub 2019 Jul 1.
4
Can a List Experiment Improve Validity of Abortion Measurement?列表实验能否提高堕胎测量的有效性?
Stud Fam Plann. 2019 Mar;50(1):43-61. doi: 10.1111/sifp.12082. Epub 2019 Jan 23.
5
Multivariable regression analysis of list experiment data on abortion: results from a large, randomly-selected population based study in Liberia.关于堕胎的列表实验数据的多变量回归分析:来自利比里亚一项大型随机抽样人群研究的结果。
Popul Health Metr. 2017 Dec 21;15(1):40. doi: 10.1186/s12963-017-0157-x.
6
The List Experiment for Measuring Abortion: What We Know and What We Need.《测量堕胎的列表实验:我们已知和所需的》
Stud Fam Plann. 2017 Dec;48(4):397-405. doi: 10.1111/sifp.12042. Epub 2017 Nov 17.
7
Global, regional, and subregional classification of abortions by safety, 2010-14: estimates from a Bayesian hierarchical model.全球、区域和次区域不安全人工流产分类,2010-2014 年:贝叶斯层次模型估计。
Lancet. 2017 Nov 25;390(10110):2372-2381. doi: 10.1016/S0140-6736(17)31794-4. Epub 2017 Sep 27.
8
The availability of abortion at state hospitals in Turkey: A national study.土耳其国立医院的堕胎服务可及性:一项全国性研究。
Contraception. 2017 Feb;95(2):148-153. doi: 10.1016/j.contraception.2016.09.009. Epub 2016 Sep 12.
9
Alternative Estimates of Lifetime Prevalence Of Abortion from Indirect Survey Questioning Methods.通过间接调查提问方法对堕胎终身患病率的替代估计。
Perspect Sex Reprod Health. 2016 Dec;48(4):229-234. doi: 10.1363/48e11216. Epub 2016 Aug 11.
10
Reducing under-reporting of stigmatized health events using the List Experiment: results from a randomized, population-based study of abortion in Liberia.利用列表实验减少对受污名化健康事件的漏报:利比里亚一项基于人群的堕胎随机研究结果
Int J Epidemiol. 2015 Dec;44(6):1951-8. doi: 10.1093/ije/dyv174.