Stillman Melissa, Leong Ellie, Utomo Budi, Dadun Dadun, Aryanty Riznawaty Imma, Sedgh Gilda, Giorgio Margaret M
Senior research associate, Guttmacher Institute, New York,
Senior research assistant, Guttmacher Institute, New York.
Int Perspect Sex Reprod Health. 2020 Sep 29;46:199-210. doi: 10.1363/46e0120.
Induced abortion is legally restricted and highly stigmatized in Indonesia, and is thus extremely difficult to measure. Indirect methods leveraging women's social networks, such as the Confidante Method, have shown promise in estimating hidden behaviors, including abortion, in similar settings.
A community-based survey was conducted among 8,696 women aged 15-49 in Java, Indonesia, in November 2018-January 2019. Data were collected via in-person interviews with respondents about their own abortions and those of up to three of their closest confidantes. One-year induced abortion incidence rates per 1,000 women were estimated using a direct-report approach and the Confidante Method.
The direct-report abortion rate was 3.4 per 1,000 women in 2018, compared with the Confidante Method rate of 11.3 per 1,000. Among the confidantes of women who reported an abortion in the past five years, the abortion rate was 42.0 per 1,000. Half of the women reported that they had no confidantes with whom they shared private information. Among women reporting an abortion and at least one confidante, 58% had disclosed their abortion to their confidante, indicating that substantial transmission bias was present.
The Confidante Method relies on several assumptions that did not hold in this study. Although the method performed better than the direct-report approach, it underestimated the incidence of abortion in Java. More research is needed to understand how abortion-related information is shared within social networks and to assess the appropriateness of applying the Confidante Method to estimate abortion in a given context.
在印度尼西亚,人工流产受到法律限制且备受污名化,因此极难进行衡量。在类似环境中,利用女性社交网络的间接方法,如密友法,在估计包括人工流产在内的隐藏行为方面已显示出前景。
2018年11月至2019年1月,在印度尼西亚爪哇对8696名15至49岁的女性进行了一项基于社区的调查。通过对受访者进行面对面访谈收集数据,内容涉及她们自己的人工流产情况以及最多三名最亲密密友的人工流产情况。采用直接报告法和密友法估计每1000名女性的年度人工流产发生率。
2018年,直接报告的人工流产率为每1000名女性3.4例,而密友法得出的比率为每1000名女性11.3例。在过去五年中报告有人工流产的女性的密友中,人工流产率为每1000名42.0例。一半的女性报告称她们没有可以分享私密信息的密友。在报告有人工流产且至少有一名密友的女性中,58%向密友透露了自己的人工流产情况,这表明存在大量的传播偏差。
密友法依赖于几个在本研究中不成立的假设。尽管该方法比直接报告法表现更好,但它低估了爪哇的人工流产发生率。需要更多研究来了解人工流产相关信息在社交网络中的分享方式,并评估在特定背景下应用密友法估计人工流产情况的适用性。