Induced Abortion Incidence and Safety in Rajasthan, India: Evidence that Expansion of Services is Needed

2020 ◽  
Vol 51 (4) ◽  
pp. 323-342
Author(s):  
Danish Ahmad ◽  
Mridula Shankar ◽  
Anoop Khanna ◽  
Caroline Moreau ◽  
Suzanne Bell
2020 ◽  
Vol 5 (4) ◽  
pp. e002130 ◽  
Author(s):  
Chelsea B Polis ◽  
Philicia W Castillo ◽  
Easmon Otupiri ◽  
Sarah C Keogh ◽  
Rubina Hussain ◽  
...  

IntroductionInduced abortion is legally permitted in Ghana under specific conditions, but access to services that meet guidelines approved by government is limited. As part of a larger project comparing five methodologies to estimate abortion incidence, we implemented an indirect estimation approach: the Abortion Incidence Complications Methodology (AICM), to understand the incidence of abortion in Ghana in 2017.MethodsWe drew a nationally representative, two-stage, stratified sample of health facilities. We used information from 539 responding facilities to estimate treated complications stemming from illegal induced abortions, and to estimate the number of legal abortions provided. We used information from 146 knowledgeable informants to generate zonal multipliers representing the inverse of the proportion of illegal induced abortions treated for complications in facilities in Ghana’s three ecological zones. We applied multipliers to estimates of treated complications from illegal abortions, and added legal abortions to obtain an annual estimate of all induced abortions.ResultsThe AICM approach suggests that approximately 200 000 abortions occurred in Ghana in 2017, corresponding to a national abortion rate of 26.8 (95% CI 21.7 to 31.9) per 1000 women 15–49. Abortion rates were lowest in the Northern zone (18.6) and highest in the Middle zone (30.4). Of all abortions, 71% were illegal.ConclusionDespite Ghana’s relatively liberal abortion law and efforts to expand access to safe abortion services, illegal induced abortion appears common. A concurrently published paper compares the AICM-derived estimates presented in this paper to those from other methodological approaches.


2020 ◽  
Vol 5 (1) ◽  
pp. e001814 ◽  
Author(s):  
Suzanne O Bell ◽  
Elizabeth Omoluabi ◽  
Funmilola OlaOlorun ◽  
Mridula Shankar ◽  
Caroline Moreau

BackgroundWe know little about the frequency, correlates and conditions under which women induce abortions in Nigeria. This study seeks to estimate the 1-year induced abortion incidence and proportion of abortions that are unsafe overall and by women’s background characteristics using direct and indirect methodologies.MethodsData for this study come from a population-based, nationally representative survey of reproductive age women (15–49) in Nigeria. Interviewers asked women to report on the abortion experiences of their closest female confidante and themselves. We adjusted for potential biases in the confidante data. Analyses include estimation of 1-year induced abortion incidence and unsafe abortion, as well as bivariate and multivariate assessment of their correlates.ResultsA total of 11 106 women of reproductive age completed the female survey; they reported on 5772 confidantes. The 1-year abortion incidence for respondents was 29.0 (95% CI 23.3 to 34.8) per 1000 women aged 15–49 while the confidante incidence was 45.8 (95% CI 41.0-50.6). The respondent and confidante abortion incidences revealed similar correlates, with women in their 20s, women with secondary or higher education and women in urban areas being the most likely to have had an abortion in the prior year. The majority of respondent and confidante abortions were the most unsafe (63.4% and 68.6%, respectively). Women aged 15–19, women who had never attended school and the poorest women were significantly more likely to have had the most unsafe abortions.ConclusionResults indicate that abortion in Nigeria is a public health concern and an issue of social inequity. Efforts to expand the legal conditions for abortion in Nigeria are critical. Simultaneously, efforts to increase awareness of the availability of medication abortion drugs to more safely self-induce can help mitigate the toll of unsafe abortion-related morbidity and mortality.


2020 ◽  
Vol 46 ◽  
pp. 199
Author(s):  
Stillman ◽  
Leong ◽  
Utomo ◽  
Dadun ◽  
Aryanty ◽  
...  

The Lancet ◽  
2012 ◽  
Vol 379 (9816) ◽  
pp. 625-632 ◽  
Author(s):  
Gilda Sedgh ◽  
Susheela Singh ◽  
Iqbal H Shah ◽  
Elisabeth Åhman ◽  
Stanley K Henshaw ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0232364
Author(s):  
Suzanne O. Bell ◽  
Grace Sheehy ◽  
Andoh Kouakou Hyacinthe ◽  
Georges Guiella ◽  
Caroline Moreau

2021 ◽  
Author(s):  
Onikepe Oluwadamilola Owolabi ◽  
Margaret Giorgio ◽  
Ellie Leong ◽  
Elizabeth Sully

Abstract Background: Obtaining representative abortion incidence estimates is challenging in restrictive contexts. While the confidante method has been increasingly used to collect this data in such settings, there are several biases commonly associated with this method. Further, there are significant variations in how researchers have implemented the method and assessed/adjusted for potential biases, limiting the comparability and interpretation of existing estimates. This study presents a standardized approach to analyzing confidante method data, generates comparable abortion incidence estimates from previously published studies and recommends standards for reporting bias assessments and adjustments for future confidante method studies.Methods: We used data from previous applications of the confidante method in Côte d’Ivoire, Ethiopia, Ghana, Java (Indonesia), Nigeria, Uganda, and Rajasthan (India). We estimated one-year induced abortion incidence rates for confidantes in each context, attempting to adjust for selection, reporting and transmission bias in a standardized manner.Findings: In each setting, majority of the foundational confidante method assumptions were violated. Adjusting for transmission bias using self-reported abortions consistently yielded the highest incidence estimates compared with other published approaches. Differences in analytic decisions and bias assessments resulted in the incidence estimates from our standardized analysis varying widely from originally published rates.Interpretation: We recommend that future studies clearly state which biases were assessed, if associated assumptions were violated, and how violations were adjusted for. This will improve the utility of confidante method estimates for national-level decision making and as inputs for global or regional model-based estimates of abortion.Funding: UK Aid from the UK Government


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