Study design
This paper draws on data from one component of a larger, cross-sectional study in Lagos and Abuja, Nigeria employing a total market approach and combining qualitative and quantitative methods. The primary quantitative data collection included a sample of health-facilities and individual providers (both informal and formal providers) providing either abortions or post-abortion care in the last 3-months, mystery client survey at all health facility sites/providers surveyed, and a quantitative survey of women who had an induced abortion in the five years preceding the survey. The qualitative component included key informant interviews with strategic stakeholders, including policymakers, representatives of client groups, and programme delivery organisations. All data collection was completed in October 2023.
This analysis for this paper draws exclusively on the data from the quantitative survey of women with a history of an induced abortion in the 5-years preceding the survey. The survey employed a convenience sampling approach, targeting a purposive sample of 200 women aged 15–49 in Lagos and Abuja who had experienced at least one induced abortion, with an equal sample of 100 per study location. Eligible women had their most recent induced abortion in the past five years preceding the study. While the study locations were Abuja and Lagos, clients could reside anywhere in Nigeria, provided they received their abortion care in these two locations.
Through this survey approach, we explored several questions related to women’s experiences with abortion and post-abortion care including the pathway to care, cost, incidence of complications, source of care, methods used, quality of care, stigma, and social support.
Survey participants were recruited through (1) referrals by abortion and PAC providers, (2) initial seeds found at known PAC service delivery sites, (3) peer recruiters, and (4) community health volunteer referrals. All respondents provided written consent to participate before the beginning the survey. Interviews were conducted face-to-face by trained interviewers primarily in Hausa, Yoruba or English. Surveys were professionally translated into Hausa and Yoruba from English and piloted with native speakers before data collection. Surveys were programmed on OpenDataKit software for administration using smartphones.
Measures
In the questionnaire, women could report all abortion methods and providers/locations (referred to as source) used if they reported doing multiple things to end the pregnancy. Respondents describe the place, methods used, safety and experience of all reported abortions. The abortion method and location measures in this analysis draw on the woman’s least safe abortion method or source in the case that they reported multiple abortion methods or sources.
In this analysis, we categorised abortion methods into surgery, medication abortion (MA) drugs, other pills, or pills without sufficient information to categorise as MA, and traditional or other methods (like herbal drinks, injections, alcohol, or other traditional remedies). Any respondents with missing values were excluded from the analysis (n=3). We further classified abortion methods as recommended and non-recommended (i.e., other than WHO-approved surgical procedures or MA drugs) that put the woman at potentially high risk of abortion related morbidity or mortality (4). For recommended surgical procedures, we excluded all surgical procedures reported other than WHO-approved methods of electric vacuum aspiration (EVA), manual vacuum aspiration (MVA) and dilation and curettage (D&C) (4). For recommended medical abortion methods, we included Misoprostol-alone as well as the combination regiment of misoprostol and mifepristone (4). If a respondent reported doing multiple things and used a method other than a WHO-approved surgical method or MA drugs at any point in the termination, we categorised the abortion as non-recommended.
We categorised abortion method sources into public facilities and private facilities (including non-governmental organisations and private doctors), pharmacies or chemist shops and traditional or other non-medical sources (including shops, markets, friends or relatives or home). We further classified abortion source as clinical or non-clinical. Clinical sources included all public and private facility types while non-clinical sources included pharmacies, drug shops and traditional or other non-medical sources. Missing values for the abortion method source variable (n = 87) were classified as ‘other’. All respondents with missing values had reported using only a traditional or other non-medical method for their pregnancy termination. In line with the abortion method classification, we categorised an abortion as non-clinical if at any point the respondent reported using a source other than a public or private facility.
Using this data, we operationalised abortion safety based on two dimensions in line with a previous analysis of Nigeria PMA2020 survey data (6): (1) whether the method(s) used included any non-recommended methods and (2) whether the source(s) used were clinical or non-clinical. To generate our primary abortion safety outcome, we combined source and method information to categorise a woman’s abortion into one of the following four safety categories: (1) recommended method(s) involving only clinical source(s); (2) recommended method involving non-clinical source(s); (3) non-recommended method(s) involving clinical source(s) and (4) non-recommended method(s) involving non-clinical source(s). For our binary outcome variable, abortions in group four were deemed the most unsafe with the first three categories grouped together as safer services.
For our secondary outcomes of experiences along the abortion care trajectory, we included the use of a pregnancy test or other medical examination (binary: yes/no), abortion decision making role (binary: sole decision/other person involved in decision), the abortion method used (binary: recommended/non-recommended), source of method used (binary: clinical/non-clinical source), was able to access preferred source (binary: yes/no), experienced any complications (binary: yes/no), had social support in terms of someone who provided advice about abortion care (binary: yes/no).
In this analysis, we also examined several respondent sociodemographic and reproductive history characteristics at the time of her abortion. Sociodemographic characteristics included age (categorical), school attendance, marital status, religious affiliation, employment status (binary), urban, peri-urban or rural residence, and poverty status using the global Multidimensional Poverty Index (MPI) and categorised women both as living in multidimensional poverty and severe multidimensional poverty (12). Reproductive history characteristics of the participants included the number of children, the number of previous abortions, and any contraceptive use.
Data analysis
We first used descriptive statistics to examine the sociodemographic and reproductive history characteristics, safety of abortion, and experiences along the abortion care pathway. To address our primary aim, we explored differences in sociodemographic and reproductive history characteristics between women who accessed the least safe abortions and safer abortions, assessed via bivariate and multivariate logistic regressions. All sociodemographic and reproductive history covariates that were significant in the bivariate logistic regression were included in the multivariate logistic regression, along with study location which was maintained to control for any effect of study location. Individual multivariate regressions were run for multidimensional poverty and severe multidimensional poverty, given the collinearity between these variables.
To address the secondary study aim, bivariate logistic regressions were run with each of the abortion care pathway measures treated as the dependent variable and the suite of sociodemographic and reproductive history covariates as the independent variables. As with the primary outcome analysis, all covariates that were significant in the bivariate logistic regression along with study location were included in the multivariate logistic regression.
Statistical significance was determined to be at p < 0.05. All analyses were conducted using Stata 16.1 (College Station, TX).
Ethical approval
This study protocol was approved by MSI’s independent Ethical Review Committee (application reference number: 003-23). Further, IRB approvals were also sought and received from the Federal Capital Territory Health Research Ethics Committee in Abuja (approval number: FHREC/2023/01/136/25-07-23) and Lagos State University Teaching and Hospital Health Research Ethics Committee in Lagos (approval number: LREC/06/10/2210). Informed consent was sought from all participants immediately before the commencement of the survey.