Literature DB >> 31697696

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

Suzanne O Bell1, Funmilola OlaOlorun2, Mridula Shankar1, Danish Ahmad3, Georges Guiella4, Elizabeth Omoluabi5, Anoop Khanna3, Andoh Kouakou Hyacinthe6, Caroline Moreau1,7.   

Abstract

This study aimed to measure abortion safety in Nigeria, Cote d'Ivoire, and Rajasthan, India using population-based abortion data from representative samples of reproductive age women. Interviewers asked women separately about their experience with "pregnancy removal" and "period regulation at a time when you were worried you were pregnant", and collected details on method(s) and source(s) of abortion. We operationalized safety along two dimensions: 1) whether the method(s) used were non-recommended and put the woman at potentially high risk of abortion related morbidity and mortality (i.e. methods other than surgery and medication abortion drugs); and 2) whether the source(s) used involved a non-clinical (or no) provider(s). We combined source and method information to categorize a woman's abortion into one of four safety categories. In Nigeria (n = 1,800), 29.1% of abortions involved a recommended method and clinical provider, 5.4% involved a recommended method and non-clinical provider, 2.1% involved a non-recommended method and clinical provider, and 63.4% involved a non-recommended method and non-clinical provider. The corresponding estimates were 32.7%, 3.0%, 1.9%, and 62.4% in Cote d'Ivoire (n = 645) and 39.7%, 25.5%, 3.4%, and 31.4% in Rajasthan (n = 454). Results demonstrate that abortion safety, as measured by abortion related process data, is generally low but varies significantly by legal context. The policy and programmatic strategies employed to improve abortion safety and quality of care are likely to differ for women in different abortion safety categories.

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Year:  2019        PMID: 31697696      PMCID: PMC6837422          DOI: 10.1371/journal.pone.0223146

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Abortion is among the safest medical procedures when performed according to recommended guidelines [1, 2]. In high-resource countries like the United States, abortion related mortality is less than 1 death per 100,000 procedures, which is 14 times lower than the mortality rate associated with childbirth [3, 4]. Serious complications are similarly rare [5]. Despite the clinical safety of abortions performed under appropriate conditions, unsafe abortion is a leading cause of maternal death in many settings where it is legally restrictive or where provision of abortion services is inadequate [2]. Recent estimates indicate that between 8% and 15% of maternal deaths worldwide are due to unsafe abortion, resulting in tens of thousands of preventable deaths every year [6, 7]. These deaths predominantly occur in the global south in countries where women can only obtain legal, safe abortion under a narrow set of criteria, if any. Although abortion mortality is still high in many low-resource settings, morbidity and case fatality have fallen in these contexts in recent decades, especially in Latin American countries, due to increased availability of misoprostol [8-10]. Researchers estimate that the unsafe abortion-related case fatality rate has fallen globally from 340 to 220 deaths per 100,000 procedures between 1990 and 2008 [11]. Pharmacies have been instrumental in facilitating women’s access to and use of misoprostol during this period [12]. Formal harm reduction models such as hotlines, internet based telemedicine, and in-person accompaniment models that support women self-sourcing medication abortion are also becoming more common [13-16]. The diffusion of medication abortion outside the formal health system challenges the traditional binary framing of abortion safety. The previous paradigm distinguished safe and unsafe procedures based largely on the legality of abortion in a given setting, in conjunction with a qualitative assessment of the country context [17]. Recent developments favor a more nuanced conceptualization of abortion safety that is in alignment with the World Health Organization (WHO) abortion service delivery recommendations, accounting for procedure type, source, and social context [18]. Investigators operationalized this framework in a recent study providing global and regional estimates of abortion safety, according to three categories: safe if the abortion involved recommended methods and providers with recommended levels of training; less safe if only one of the two conditions were met; and least safe when neither of the two conditions were met [19]. While this study is critical in acknowledging the growing proportion of low risk medication abortions performed outside of the healthcare system, the sources of information, based on facility-based data and proxies for safe abortion access, are limited in their ability to directly capture the experiences of women who seek abortion care outside of the formal healthcare system. The paucity of data on such experiences is in large part due to limitations in collecting accurate and unbiased data on women’s abortion experiences. However, our recent success in collecting population-based data on women’s abortions enable us to complement current knowledge of abortion safety. We aimed to measure abortion safety in Nigeria and Cote d’Ivoire, where abortion is only legal to save a woman’s life, and Rajasthan, India, where women can legally access abortion under a broad range of circumstances. More specifically, we sought to assess the safety of women’s abortions in these contexts using self-reported abortion data from representative samples of reproductive age women. Having more granular data on the details of women’s abortions inside and outside health facilities allowed us to operationalize and further differentiate aspects of the WHO safety categories.

Methods

We conducted population-based surveys of reproductive age women (15 to 49 years old) in Nigeria, Cote d’Ivoire, and Rajasthan, India as part of a larger multi-country study on family planning and reproductive health. These surveys employed a multi-stage cluster sampling design with probability proportional to size selection of geographical (enumeration) areas; additional details on the sampling strategy are described elsewhere [20]. Resident interviewers conducted face-to-face interviews with respondents using smart phones; English and local language translations of the questionnaires are provided in the supplementary materials (S1–S9 Docs). The Johns Hopkins Bloomberg School of Public Health provided ethical approval, as did the National Health Research Ethics Committee of Nigeria, the Indian Institute of Health Management Research (IIHMR) Institutional Review Board for Protection of Human Subjects in Rajasthan, and the Comite National D' Etique de la Recherche (CNER) in Cote d'Ivoire. In accordance with local IRB requirements, respondents in Nigeria and Cote d’Ivoire provided verbal consent to participate due to concerns about low literacy while respondents in Rajasthan provided written consent. For oral consent, interviewers checked a box on the smart phone to indicate receipt of respondent consent. Given we were using population-based rather than facility-based data or other data sources that investigators used to produce the recent WHO estimates, we had to adapt the definitions and categories of abortion safety. Additionally, the data one can collect at an individual level is limited by what women can accurately and reliably report. Using these respondent-reported abortion data, we explored how different types of information affected our safety categorization of a given abortion along two dimensions; whether the method(s) used was recommended and whether the source(s) involved a clinical provider. To date, categorization of abortion safety using women’s report of their abortion experiences from a representative, non-clinical sample has not been done. Interviewers asked women separately about whether they had ever done something to “remove a pregnancy when you were pregnant or worried you were pregnant” or “regulate your period when you were worried you were pregnant”. Interviewers did not probe to determine the lifetime number of terminations; subsequent questions were in relation to the most recent occurrence. We provide further information on this approach in another study [21]. We collected information on the method and source used if a woman reported doing only one thing to terminate the pregnancy. In instances where women reported doing more than one thing, we collected information about the first and last method and source. In analyses for this study, we identified women as having a history of abortion if they indicated they had had a pregnancy removal or underwent period regulation. We first described the characteristics of the sample of women who reported a history of abortion in each site. We then conducted descriptive analyses of women’s abortion experiences, including number of methods used to terminate the pregnancy, type and source of only or last method used, as well as type and source of first method used when women reported doing multiple things to terminate the pregnancy. We grouped methods into four categories: 1) surgery; 2) medication abortion (MA) drugs; 3) other pills or pills without sufficient information to categorize in the previous category; and 4) traditional or other methods (like herbal drinks, injections, alcohol, or other traditional remedies). We deemed an abortion as involving a non-recommended method if the woman at any point in the termination used a method other than surgery or MA drugs. This does not assume adherence to method specific clinical guidelines. Women were often unable to provide pill names or sufficient detail for the interviewer to categorize the pill type among available options; 9.6% of abortions in Nigeria, 11.4% of abortions in Cote d’Ivoire, and 8.2% of abortions in Rajasthan involved an unknown or “other” pill type (i.e. excluding MA, anti-malarial, antibiotic, or emergency contraception pills). We categorized these abortions as non-recommended, along with traditional or other methods. We similarly grouped sources into four categories: 1) public facilities; 2) private facilities (including non-governmental organizations and private doctors); 3) pharmacies or chemist shops; and 4) traditional or other sources (including shops, markets, friends or relativizes, or home). We deemed the termination as involving non-clinical provider(s) if the woman sought any method from a source other than public or private facilities. We did not ask about source for women who reported methods other than surgery or pills, assuming these would have come from informal sources or providers. Similar to the method dimension, we did not make assumptions about abortion-specific provider training in categorizing the source as clinical or not. Women who did multiple things may have used a non-recommended method or non-clinical source first or last, thus we collected information on both first and last method and source to most accurately categorize each abortion. To explore how abortion pathways (use of one method or multiple methods) altered the safety categorization related to method and source, and the impact of our decision to use information on first and last method and source, we separately measured the proportion of abortions categorized as involving a non-recommended method using: 1) information on the last method used, and; 2) information on first and last method used. We conducted the same analyses with regard to source. We combined source and method information to categorize a woman’s abortion into one of the following four safety categories: 1) recommended method(s) involving clinical source(s); 2) recommended method(s) involving at least one non-clinical source(s); 3) at least one non-recommend method(s) involving clinical source(s); and 4) at least one non-recommended method(s) involving at least one non-clinical source(s). We present the distribution of abortion safety overall and for those that took place in the last five years. To assess whether the abortion safety distribution was statistically significantly different in the two time periods, we used chi-squared tests. We relied on previously calculated abortion rates from this study [21] for the three settings and the distribution of safety to estimate the rate of abortions involving a non-recommended method and non-clinical source, which represent the most unsafe abortions. As a final sensitivity analysis, we re-categorized all reported surgeries performed by untrained providers as potentially in the most unsafe category. We accounted for the complex sampling design and clustering using the Taylor linearization method with survey weights to adjust for the probability of selection. All analyses were conducted using Stata version 15.1.

Results

We present socioeconomic characteristics of women who reported a prior abortion for each country in Table 1. These included 1,810 women in Nigeria, 647 women in Cote d’Ivoire, and 457 women in Rajasthan (Table 1). In Nigeria and Rajasthan, a majority of respondents with a history of abortion were aged 25 to 34, while in Cote d’Ivoire they were similarly likely to be aged 25 to 39. Most women reporting an abortion in Nigeria had a secondary or higher education, while they were most likely to have primary or no education in Cote d’Ivoire and Rajasthan. In all three countries, women who reported an abortion were typically currently married or cohabiting and wealthy. Women in Nigeria and Cote d’Ivoire were more likely to reside in an urban area.
Table 1

Respondent characteristics among those who reported an abortion, by country.

NigeriaCote d'IvoireRajasthan
%N%N%N
Age
15–194.2906.3401.56
20–2412.825316.910714.374
25–2923.340120.713322.3102
30–3422.238818.512323.9109
35–3916.430219.112018.684
40–4413.623710.97415.162
45–497.51397.5504.320
Education
Never6.917333.021931.4156
Primary12.324632.322036.7156
Secondary51.190326.515815.268
Higher29.74888.15016.777
Marital status
Currently married/cohabiting68.01,26165.141696.2439
Divorced or separated/widowed6.31296.5452.412
Never married25.641828.41861.46
Religion of household (Nigeria)
Catholic16.9310nananana
Other Christian63.2982nananana
Muslim18.7485nananana
Other1.333nananana
Religion of household (Cote d'Ivoite)
Muslimnana18.2133nana
Catholicnana29.0191nana
Evangelicalnana22.7137nana
Othernana20.3125nana
No religionnana9.861nana
Religion of household (Rajasthan)
Hindunananana83.4385
Muslimnananana14.462
Othernananana2.210
Wealth
Poorest11.123814.29613.661
Second poorest16.836819.111813.969
Middle19.536014.510921.8108
Second wealthiest24.339723.014422.094
Wealthiest28.344729.118028.7125
Residence
Rural28.264036.624752.8301
Urban71.81,17063.440047.2156
Total100.01,810100.0647100.0457

1Percents are weighted, Ns are unweighted. Some Ns within a characteristic do not add to the total number of respondents due to missingness.

1Percents are weighted, Ns are unweighted. Some Ns within a characteristic do not add to the total number of respondents due to missingness. Similar percentages of women reported doing multiple things to terminate the pregnancy in Nigeria (19.0%), Cote d’Ivoire (19.0%), and Rajasthan (16.5%). We provide the distribution of last or only method used to terminate the pregnancy for all abortions in Fig 1, as well as the first method used for women who did multiple things to terminate the pregnancy in Fig 2. Based on only and last method information, we estimate that 43.0% of women in Nigeria terminated their pregnancy using recommended methods (36.5% surgery and 6.5% MA) (Fig 1). This proportion was 42.3% in Côte d’Ivoire (38.2% surgery and 4.1% MA) and 71.8% in Rajasthan (36.3% surgery and 35.5% MA) (Fig 1). When incorporating information on the first method used for those who did multiple things (Fig 2), the percentage of all women who used only recommended methods decreased by 19.7% in Nigeria, 15.6% in Cote d’Ivoire, and 9.2% in Rajasthan (Fig 3).
Fig 1

Distribution of last abortion method by country for all women who had an abortion.

Fig 2

Distribution of first abortion method by country for women who did multiple things to terminate the pregnancy.

Fig 3

Percentage of abortions categorized as involving a non-recommended method by country.

The most frequent source used to terminate a pregnancy in Nigeria (50.2%) and Cote d’Ivoire (56.8%) was a traditional provider or “other” source, which included shops and markets (Fig 4). In Rajasthan, women were equally likely to terminate their pregnancy at a private or NGO facility or doctor (25.8%), pharmacy or chemist shop (26.0%), or traditional provider or “other” source (28.0%) (Fig 4). Women who did multiple things to terminate the pregnancy were most likely to seek services for their first method at a traditional provider or “other” source in Nigeria and Cote d’Ivoire (59.7% and 79.6%, respectively) while women in Rajasthan were most likely to go to a pharmacy (38.1%) (Fig 5). Combining information on first and last source, we estimated that 68.9% of Nigerian women relied on a non-clinical provider at some point to terminate their pregnancy, compared to 65.4% in Cote d’Ivoire and 57.0% in Rajasthan (Fig 6).
Fig 4

Distribution of source for last abortion method by country for all women who reported an abortion.

Fig 5

Distribution of source for first abortion method by country for women who did multiple things to terminate the pregnancy.

Fig 6

Percentage of abortions categorized as involving a non-clinical provider by country.

In Table 2 we present the distribution of abortion safety according to the four safety categories previously described, relying on all method and source information. Abortions in Nigeria and Cote d’Ivoire were more unsafe than in Rajasthan. Nearly two-thirds of abortions in Nigeria and Cote d’Ivoire involved potentially high-risk non-recommended methods from non-clinical sources (63.4% and 62.4%, respectively); this is in contrast to less than a third in Rajasthan (31.7%). Also of note is the much larger proportion of abortions categorized as involving recommended methods but non-clinical providers in Rajasthan compared to the other two countries (26.7% versus 5.4% and 3.0%). Nearly all of the abortions in this category involved MA drugs. If we re-categorized the surgeries provided by non-clinical providers as a non-recommended method, the percentage of women in the most unsafe category would increase by 0.6 percentage points in Nigeria (from 56.3 to 56.9), 0.4 percentage points in Cote d’Ivoire (from 62.4 to 62.8), and 0.2 percentage points in Rajasthan (from 31.4 to 31.6).
Table 2

Distribution of respondent and confidante abortions by safety using all information on methods and sources, by country,.

Overall> 5 years ago< = 5 years ago
Nigeria**%N%N%N
Recommended, clinical provider29.147143.030518.1166
Recommended, non-clinical provider5.4973.7296.868
Non-recommended, clinical provider2.1372.8171.520
Non-recommended, non-clinical provider63.41,19650.542173.6774
Cote d'Ivoire**%N%N%N
Recommended, clinical provider32.719843.112723.471
Recommended, non-clinical provider3.0213.7122.49
Non-recommended, clinical provider1.9181.142.714
Non-recommended, non-clinical provider62.440852.217171.5237
Rajasthan*%N%N%N
Recommended, clinical provider38.516347.310127.362
Recommended, non-clinical provider26.713720.05935.278
Non-recommended, clinical provider3.1133.372.96
Non-recommended, non-clinical provider31.714229.47334.669

1Percents are weighted, Ns are unweighted

Statistical significance assessed using chi-squared tests

* denotes p<0.05, and

** denotes p<0.01

1Percents are weighted, Ns are unweighted Statistical significance assessed using chi-squared tests * denotes p<0.05, and ** denotes p<0.01 The distribution of abortion safety was significantly different in the last five years, compared to less recent abortions in all three contexts. The changes in Nigeria and Cote d’Ivoire reflected an 23.1 and 19.3 percentage point increase in the non-recommended method/non-clinical provider abortions over time, respectively, while in Rajasthan there was a shift from recommended method/clinical provider abortions to recommended method/non-clinical provider abortions, which increased by 75.4% (Table 2). These changes were driven by a significant increase in the percentage of abortions reported as period regulations in the last five years compared to prior years from 17.2% to 42.3% in Nigeria, 18.9% to 36.7% in Cote d’Ivoire, and 13.9% to 17.4% in Rajasthan. Using overall abortion incidence rates [21] and the safety distribution for the last five years, we estimated the annual incidence rate of the most unsafe abortions (non-recommended method/non-clinical provider) is 36.1 per 1,000 women of reproductive age in Nigeria, 31.0 per 1,000 women in Cote d’Ivoire, and 7.8 per 1,000 women in Rajasthan.

Discussion

Results demonstrate that abortion safety, as measured by abortion related process measures, is generally low but varies significantly by legal contexts. In Nigeria and Cote d’Ivoire, where abortion is only legal to save a woman’s life, we categorized the majority of abortions as involving non-recommended methods and involving non-clinical providers (63.4% and 62.4%, respectively). This proportion was lower but still substantial in Rajasthan (31.4%), where abortion is broadly legal. These findings corroborate existing literature demonstrating that legal restrictions on abortion primarily impact abortion safety while frequency is less affected [11, 19, 22]. Examining differences in the distribution of abortion safety among all abortions and those in the last five years, we did not find evidence that abortions are becoming safer. This appears to be in part a result of women’s increased reliance on self-sourced pills in an effort to bring back late menses, a non-trivial proportion of which we were unable to identify based on information the respondent provided. To the extent that some of these pills are in fact MA drugs that women were unable to report with sufficient specificity, or if these self-induced abortions are occurring earlier in pregnancy, the abortions in the more recent time period may in fact result in less morbidity and mortality. However, there is also a greater proportion of women using traditional or other methods in Nigeria and Cote d’Ivoire in recent years. Future research should seek to improve ways of ascertaining pill type and collect information on gestational age. Additionally, further work is needed to improve measurement of abortion-related complications and morbidities in order to improve estimation of abortion-related outcomes, which could include construct validation of abortion safety measures. Looking ahead, the lower levels of the most unsafe abortions and women’s greater reliance on self-sourced MA drugs in Rajasthan may be what we observe in other countries once availability and knowledge of these drugs becomes more widespread, regardless of whether the legal status changes. Comparing our results to the recent WHO safety estimates of safe, less safe, and least safe [19], we generally report higher percentages of least safe abortions (using non-recommended methods/non-clinical provider as a comparison to least safe) and lower estimates of less safe abortion (proxied by our recommended method/non-clinical provider and non-recommended method/clinical provider categories). For example, WHO West Africa and South-central Asia estimates for least safe abortions were 52.1% and 12.9%, respectively, [19] while our estimates ranged between 62.4% and 63.4% in Cote d’Ivoire and Nigeria and 31.4% in Rajasthan. Inversely, WHO West Africa and South-central Asia estimates for less safe abortions were 32.6% and 44.9% [19] while our estimates were lower ranging from 4.9% to 7.5% in Cote d’Ivoire and Nigeria to 28.9% in Rajasthan. The WHO estimates are based strictly on WHO guidelines and recommendations while we defined safety based on the likelihood of experiencing negative sequelae while simultaneously providing insight into how and where women are terminating their pregnancies. As the evidence builds regarding the safety of self-sourced or pharmacy-based MA, distinctions between MA involving clinical providers versus non-clinical providers may not be necessary. Future research could collect data on information received or sought out by women related to medication abortion protocol as we ultimately seek to categorize whether the MA involved evidence-based care. In the meantime, our data allowed us to identify this group of women and their individual characteristics. Measurement of abortion safety is principally linked to the medical risks of procedures that are non-compliant with WHO recommendations. A broader focus on quality of care, of which safety is an essential part, can help deepen and integrate our understanding of the technical and interpersonal aspects of care, both of which are essential to a client’s health and well-being [23]. However, with the expansion of medical abortion and emerging evidence on the successes of formal and informal service delivery models [13-16], current quality of care frameworks need to be adapted to apply to non-clinical providers and settings. Our framing and assessment of abortion safety using process measures derived from women’s experiences is one step towards quantifying sub-groups of women at the lower end of the risk spectrum for whom data on other measures of quality can be beneficial to improve service delivery. While these data provide rich details on the specifics of women’s abortions, they are not without limitations. Underreporting of abortion is substantial and may be differential by method and source, which may affect the distribution of our safety estimations. Because there is no external, objective measure of abortion safety in these settings, a true validation of these findings was not possible. Using the confidante methodology, which yields higher estimates of abortion based on respondent reporting of a female confidante’s experience of abortion [21], we found similar or even higher estimates of highly unsafe abortions, i.e. non-recommended method/non-clinical provider (68.6% in Nigeria, 78.4% in Cote d’Ivoire, and 38.8% in Rajasthan) (see Bell et al 2019 for further description of the confidante methodology from which we obtained these safety estimates) [21]. However, we believe the respondent reported abortions are more likely tied to the true abortion safety distribution than the confidante data since respondents would be more likely to know about a friend’s unsafe abortion experience requiring subsequent medical treatment than her experience of a safe, uncomplicated abortion. Another source of potential bias is misclassification. With regard to surgery, we determined that women could not provide details on the specific procedure conducted. As such, we categorized any surgical abortion as recommended, which would include dilation and curettage despite it being obsolete based on WHO clinical recommendations [1]. Similarly, women could not report on the training of a given provider, thus we relied on information about the source or location of the surgery/medicine and whether providers at that facility type (or non-facility) would be clinicians or not. Additionally, as previously indicated, a substantial number of women were unable to provide sufficient details to categorize the type of pills they used, and among those who reported use of MA drugs, we did not try to determine whether the correct dosage and other information was provided. These limitations would have led to misclassifications when categorizing abortion safety. However, these misclassifications are not likely to be influenced by any specific characteristic of the study population in a systematic manner, hence could be termed as non-differential misclassification. Separate from misclassification is our inability to provide more nuanced classification. There is a spectrum of safety, especially among non-recommended methods by non-recommended providers. However, we were limited in our ability to more fully capture this in the current study. Some women are doing rather benign things, like drinking hot tea or spicy beverages, while others ingest toxic substances or rely on invasive methods that cause physical injuries. Our current measurement approaches lack the specificity to distinguish between these different levels of risk. While we sought to assess the relative safety of women’s abortions based on process indicators of the quality of care, the actual risk of morbidity and mortality associated with these categories is unknown. There is a need for accurate measurement of complications and morbidity in order to link these process measures with outcomes to ensure the categorization aligns with actual risks of negative sequelae. Despite these limitations, this study has a number of strengths. The abortion data come from large, population-based studies of abortion safety across diverse settings, including legally restrictive and non-restrictive settings. Given the data come from population- as opposed to facility-based surveys, we were able to capture the substantial and growing population of women having abortions entirely outside the formal healthcare system. As such, our data are more representative of the actual range of abortion experiences in these countries. Our results also provide a more nuanced categorization of abortion safety, demonstrating the intersection between source and method.

Conclusion

Determining the safety of abortions is critical for related service delivery and policy work. Results demonstrate that abortion safety in these countries is generally low, particularly in Nigeria and Cote d’Ivoire, where abortion is highly legally restrictive. Our results are unique in that they provide details on the specific methods and sources women are most likely to use in these contexts. The diversity of women’s abortion experiences across geographies, many of which occur outside of clinical settings, calls for an expansion of legal abortion service delivery in formal healthcare settings as well as an expansion of MA training in the informal health sector, which for many women represents the first point of contact for abortion care. For women using non-recommended/high-risk methods, regardless of the source, advocates need to disseminate information related to safe methods, like misoprostol. For women using recommended methods from clinical providers, the task of policy makers, advocates, and providers is still not complete as quality of care remains an important issue. Measuring abortion safety at the individual level provides stakeholders with the characteristics of women whose abortions align with each of these safety categories. As such, these data enable exploration of social inequities in access to and utilization of safe abortion in future analyses, which previous abortion safety estimation approaches have precluded.

NGR5-Female-Questionnaire-English-v36-aso.

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NGR5-Female-Questionnaire-Hausa-v36-aso.

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NGR5-Female-Questionnaire-Igbo-v36-aso.

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NGR5-Female-Questionnaire-Pidgin-v36-aso.

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NGR5-Female-Questionnaire-Yoruba-v36-aso.

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CIR2-Female-Questionnaire-English-v6-jkp.

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CIR2-Female-Questionnaire-French-v6.

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RJR4-Female-Questionnaire-English-v10-jkp.

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RJR4-Female-Questionnaire-Hindi-v10.

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  19 in total

1.  The comparative safety of legal induced abortion and childbirth in the United States.

Authors:  Elizabeth G Raymond; David A Grimes
Journal:  Obstet Gynecol       Date:  2012-02       Impact factor: 7.661

2.  Quality of Care in a Safe-Abortion Hotline in Indonesia: Beyond Harm Reduction.

Authors:  Caitlin Gerdts; Inna Hudaya
Journal:  Am J Public Health       Date:  2016-09-15       Impact factor: 9.308

3.  Putting abortion pills into women's hands: realizing the full potential of medical abortion.

Authors:  Kinga Jelinska; Susan Yanow
Journal:  Contraception       Date:  2017-08-03       Impact factor: 3.375

4.  Abortion incidence between 1990 and 2014: global, regional, and subregional levels and trends.

Authors:  Gilda Sedgh; Jonathan Bearak; Susheela Singh; Akinrinola Bankole; Anna Popinchalk; Bela Ganatra; Clémentine Rossier; Caitlin Gerdts; Özge Tunçalp; Brooke Ronald Johnson; Heidi Bart Johnston; Leontine Alkema
Journal:  Lancet       Date:  2016-05-11       Impact factor: 79.321

5.  Global, regional, and national levels and causes of maternal mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Nicholas J Kassebaum; Amelia Bertozzi-Villa; Megan S Coggeshall; Katya A Shackelford; Caitlyn Steiner; Kyle R Heuton; Diego Gonzalez-Medina; Ryan Barber; Chantal Huynh; Daniel Dicker; Tara Templin; Timothy M Wolock; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw Ferede Abera; Ibrahim Abubakar; Tom Achoki; Ademola Adelekan; Zanfina Ademi; Arsène Kouablan Adou; José C Adsuar; Emilie E Agardh; Dickens Akena; Deena Alasfoor; Zewdie Aderaw Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mazin J Al Kahbouri; François Alla; Peter J Allen; Mohammad A AlMazroa; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzmán; Adansi A Amankwaa; Azmeraw T Amare; Hassan Amini; Walid Ammar; Carl A T Antonio; Palwasha Anwari; Johan Arnlöv; Valentina S Arsic Arsenijevic; Ali Artaman; Majed Masoud Asad; Rana J Asghar; Reza Assadi; Lydia S Atkins; Alaa Badawi; Kalpana Balakrishnan; Arindam Basu; Sanjay Basu; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Eduardo Bernabe; Tariku J Beyene; Zulfiqar Bhutta; Aref Bin Abdulhak; Jed D Blore; Berrak Bora Basara; Dipan Bose; Nicholas Breitborde; Rosario Cárdenas; Carlos A Castañeda-Orjuela; Ruben Estanislao Castro; Ferrán Catalá-López; Alanur Cavlin; Jung-Chen Chang; Xuan Che; Costas A Christophi; Sumeet S Chugh; Massimo Cirillo; Samantha M Colquhoun; Leslie Trumbull Cooper; Cyrus Cooper; Iuri da Costa Leite; Lalit Dandona; Rakhi Dandona; Adrian Davis; Anand Dayama; Louisa Degenhardt; Diego De Leo; Borja del Pozo-Cruz; Kebede Deribe; Muluken Dessalegn; Gabrielle A deVeber; Samath D Dharmaratne; Uğur Dilmen; Eric L Ding; Rob E Dorrington; Tim R Driscoll; Sergei Petrovich Ermakov; Alireza Esteghamati; Emerito Jose A Faraon; Farshad Farzadfar; Manuela Mendonca Felicio; Seyed-Mohammad Fereshtehnejad; Graça Maria Ferreira de Lima; Mohammad H Forouzanfar; Elisabeth B França; Lynne Gaffikin; Ketevan Gambashidze; Fortuné Gbètoho Gankpé; Ana C Garcia; Johanna M Geleijnse; Katherine B Gibney; Maurice Giroud; Elizabeth L Glaser; Ketevan Goginashvili; Philimon Gona; Dinorah González-Castell; Atsushi Goto; Hebe N Gouda; Harish Chander Gugnani; Rahul Gupta; Rajeev Gupta; Nima Hafezi-Nejad; Randah Ribhi Hamadeh; Mouhanad Hammami; Graeme J Hankey; Hilda L Harb; Rasmus Havmoeller; Simon I Hay; Ileana B Heredia Pi; Hans W Hoek; H Dean Hosgood; Damian G Hoy; Abdullatif Husseini; Bulat T Idrisov; Kaire Innos; Manami Inoue; Kathryn H Jacobsen; Eiman Jahangir; Sun Ha Jee; Paul N Jensen; Vivekanand Jha; Guohong Jiang; Jost B Jonas; Knud Juel; Edmond Kato Kabagambe; Haidong Kan; Nadim E Karam; André Karch; Corine Kakizi Karema; Anil Kaul; Norito Kawakami; Konstantin Kazanjan; Dhruv S Kazi; Andrew H Kemp; Andre Pascal Kengne; Maia Kereselidze; Yousef Saleh Khader; Shams Eldin Ali Hassan Khalifa; Ejaz Ahmed Khan; Young-Ho Khang; Luke Knibbs; Yoshihiro Kokubo; Soewarta Kosen; Barthelemy Kuate Defo; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Kaushalendra Kumar; Ravi B Kumar; Gene Kwan; Taavi Lai; Ratilal Lalloo; Hilton Lam; Van C Lansingh; Anders Larsson; Jong-Tae Lee; James Leigh; Mall Leinsalu; Ricky Leung; Xiaohong Li; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; Hsien-Ho Lin; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Stephanie J London; Paulo A Lotufo; Jixiang Ma; Stefan Ma; Vasco Manuel Pedro Machado; Nana Kwaku Mainoo; Marek Majdan; Christopher Chabila Mapoma; Wagner Marcenes; Melvin Barrientos Marzan; Amanda J Mason-Jones; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Ziad A Memish; Walter Mendoza; Ted R Miller; Edward J Mills; Ali H Mokdad; Glen Liddell Mola; Lorenzo Monasta; Jonathan de la Cruz Monis; Julio Cesar Montañez Hernandez; Ami R Moore; Maziar Moradi-Lakeh; Rintaro Mori; Ulrich O Mueller; Mitsuru Mukaigawara; Aliya Naheed; Kovin S Naidoo; Devina Nand; Vinay Nangia; Denis Nash; Chakib Nejjari; Robert G Nelson; Sudan Prasad Neupane; Charles R Newton; Marie Ng; Mark J Nieuwenhuijsen; Muhammad Imran Nisar; Sandra Nolte; Ole F Norheim; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Orish Ebere Orisakwe; Jeyaraj D Pandian; Christina Papachristou; Jae-Hyun Park; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris Igor Pavlin; Neil Pearce; David M Pereira; Konrad Pesudovs; Max Petzold; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Dan Pope; Farshad Pourmalek; Dima Qato; D Alex Quistberg; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad ur Rahman; Murugesan Raju; Saleem M Rana; Amany Refaat; Luca Ronfani; Nobhojit Roy; Tania Georgina Sánchez Pimienta; Mohammad Ali Sahraian; Joshua A Salomon; Uchechukwu Sampson; Itamar S Santos; Monika Sawhney; Felix Sayinzoga; Ione J C Schneider; Austin Schumacher; David C Schwebel; Soraya Seedat; Sadaf G Sepanlou; Edson E Servan-Mori; Marina Shakh-Nazarova; Sara Sheikhbahaei; Kenji Shibuya; Hwashin Hyun Shin; Ivy Shiue; Inga Dora Sigfusdottir; Donald H Silberberg; Andrea P Silva; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Sergey S Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Konstantinos Stroumpoulis; Lela Sturua; Bryan L Sykes; Karen M Tabb; Roberto Tchio Talongwa; Feng Tan; Carolina Maria Teixeira; Eric Yeboah Tenkorang; Abdullah Sulieman Terkawi; Andrew L Thorne-Lyman; David L Tirschwell; Jeffrey A Towbin; Bach X Tran; Miltiadis Tsilimbaris; Uche S Uchendu; Kingsley N Ukwaja; Eduardo A Undurraga; Selen Begüm Uzun; Andrew J Vallely; Coen H van Gool; Tommi J Vasankari; Monica S Vavilala; N Venketasubramanian; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Theo Vos; Stephen Waller; Haidong Wang; Linhong Wang; XiaoRong Wang; Yanping Wang; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Ronny Westerman; James D Wilkinson; Solomon Meseret Woldeyohannes; John Q Wong; Muluemebet Abera Wordofa; Gelin Xu; Yang C Yang; Yuichiro Yano; Gokalp Kadri Yentur; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Chuanhua Yu; Kim Yun Jin; Maysaa El Sayed Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Xiao Nong Zou; Alan D Lopez; Mohsen Naghavi; Christopher J L Murray; Rafael Lozano
Journal:  Lancet       Date:  2014-05-02       Impact factor: 79.321

6.  Quality of care and abortion: beyond safety.

Authors:  Blair G Darney; Bill Powell; Kathyrn Andersen; Sarah E Baum; Kelly Blanchard; Caitlin Gerdts; Dominic Montagu; Nirali M Chakraborty; Nathalie Kapp
Journal:  BMJ Sex Reprod Health       Date:  2018-05-07

7.  Second-trimester medication abortion outside the clinic setting: an analysis of electronic client records from a safe abortion hotline in Indonesia.

Authors:  Caitlin Gerdts; Ruvani T Jayaweera; Sarah E Baum; Inna Hudaya
Journal:  BMJ Sex Reprod Health       Date:  2018-07-18

Review 8.  Global causes of maternal death: a WHO systematic analysis.

Authors:  Lale Say; Doris Chou; Alison Gemmill; Özge Tunçalp; Ann-Beth Moller; Jane Daniels; A Metin Gülmezoglu; Marleen Temmerman; Leontine Alkema
Journal:  Lancet Glob Health       Date:  2014-05-05       Impact factor: 26.763

9.  Global, regional, and subregional classification of abortions by safety, 2010-14: estimates from a Bayesian hierarchical model.

Authors:  Bela Ganatra; Caitlin Gerdts; Clémentine Rossier; Brooke Ronald Johnson; Özge Tunçalp; Anisa Assifi; Gilda Sedgh; Susheela Singh; Akinrinola Bankole; Anna Popinchalk; Jonathan Bearak; Zhenning Kang; Leontine Alkema
Journal:  Lancet       Date:  2017-09-27       Impact factor: 79.321

10.  Insights from an expert group meeting on the definition and measurement of unsafe abortion.

Authors:  Gilda Sedgh; Veronique Filippi; Onikepe O Owolabi; Susheela D Singh; Ian Askew; Akinrinola Bankole; Janie Benson; Clementine Rossier; Andrea B Pembe; Isaac Adewole; Bela Ganatra; Sandra MacDonagh
Journal:  Int J Gynaecol Obstet       Date:  2016-03-03       Impact factor: 3.561

View more
  7 in total

1.  Inequities in the incidence and safety of abortion in Nigeria.

Authors:  Suzanne O Bell; Elizabeth Omoluabi; Funmilola OlaOlorun; Mridula Shankar; Caroline Moreau
Journal:  BMJ Glob Health       Date:  2020-01-07

2.  Interviewer effects on abortion reporting: a multilevel analysis of household survey responses in Côte d'Ivoire, Nigeria and Rajasthan, India.

Authors:  Katy Footman
Journal:  BMJ Open       Date:  2021-11-19       Impact factor: 3.006

3.  A mixed-methods study exploring women's perceptions of terminology surrounding fertility and menstrual regulation in Côte d'Ivoire and Nigeria.

Authors:  Grace Sheehy; Elizabeth Omoluabi; Funmilola M OlaOlorun; Rosine Mosso; Fiacre Bazié; Caroline Moreau; Suzanne O Bell
Journal:  Reprod Health       Date:  2021-12-20       Impact factor: 3.223

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

Authors:  Margaret Giorgio; Elizabeth Sully; Doris W Chiu
Journal:  Stud Fam Plann       Date:  2021-11-11

5.  Contraceptive Use Before and After Abortion: A Cross-Sectional Study from Nigeria and Côte d'Ivoire.

Authors:  Sophia Magalona; Meagan Byrne; Funmilola M OlaOlorun; Rosine Mosso; Elizabeth Omoluabi; Caroline Moreau; Suzanne O Bell
Journal:  Stud Fam Plann       Date:  2022-07-20

6.  Postabortion care availability, facility readiness and accessibility in Nigeria and Côte d'Ivoire.

Authors:  Suzanne O Bell; Mridula Shankar; Saifuddin Ahmed; Funmilola OlaOlorun; Elizabeth Omoluabi; Georges Guiella; Caroline Moreau
Journal:  Health Policy Plan       Date:  2021-08-12       Impact factor: 3.547

7.  Sexual and Reproductive Health Literacy, Misoprostol Knowledge and Use of Medication Abortion in Lagos State, Nigeria: A Mixed Methods Study.

Authors:  Heini Väisänen; Ann M Moore; Onikepe Owolabi; Melissa Stillman; Adesegun Fatusi; Akanni Akinyemi
Journal:  Stud Fam Plann       Date:  2021-05-27
  7 in total

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