Objectives: Literature on associations between female genital mutilation/cutting (FGM/C) and fistula points to a common belief that FGM/C predisposes women to developing fistula. This study explores this association using nationally representative survey data. Design: A secondary statistical analysis of cross-sectional data from Demographic and Health Surveys was conducted to explore the association between FGM/C and fistula. Setting: Sub-Saharan Africa. Participants: Women aged 15-49 years in Burkina Faso (n=17 087), Chad (n=17 719), Côte d’Ivoire (n=10 060), Ethiopia (n=14 070), Guinea (n=9142), Kenya (n=31 079), Mali (n=10 424), Nigeria (n=33 385), Senegal (n=15 688) and Sierra Leone (n=16 658). Main outcome measures: Fistula symptoms. Results: Multivariate logit modelling using pooled data from 10 countries showed that the odds of reporting fistula symptoms were 1.5 times (CI 1.06 to 2.21) higher for women whose genitals were cut and sewn closed than those who had undergone other types of FGM/C. Women who attended antenatal care (ANC) (adjusted odds ratio (AOR) 0.51, CI 0.36 to 0.71) and those who lived in urban areas (AOR 0.62, CI 0.44 to 0.89) were less likely to report fistula symptoms than those who did not attend ANC or lived in rural areas. Conclusions: Severe forms of FGM/C (infibulation) may predispose women to fistula. Contextual and socioeconomic factors may increase the likelihood of fistula. Multisectoral interventions that concurrently address harmful traditional practices such as FGM/C and other contextual factors that drive the occurrence of fistula are warranted. Promotion of ANC utilisation could be a starting point in the prevention of fistulas.
The aim of this study was to assess associations between FGM/C and fistula among women of reproductive age15–49 using Demographic and Health Survey (DHS) data from 10 sub-Saharan Africa countries with data on both FGM/C and fistula. DHS are periodic nationally representative cross-sectional health surveys conducted in low-income and middle-income countries (https://dhsprogram.com/). DHS collects data on demographics and household wealth, fertility, reproductive health, maternal and child health, nutrition and HIV/AIDS. Data are collected from adult women aged 15–49 years and men aged 15–59 years from nationally representative probability samples of households. In certain surveys, there are additional series of questions about FGM/C and fistula that are added to the women’s questionnaire.46 The module on FGM/C includes three sections: (1) whether the woman underwent FGM/C or not, and details about the event, (2) whether one daughter underwent FGM/C or not, and details about that event, and (3) the woman’s opinion about the continuation of the practice. DHS includes a series of questions on fistula. All women are asked whether they have heard of fistula and, if they have, whether they themselves had experienced fistula-like symptoms (ie, involuntary leakage of urine and/or faeces from the vagina). While questions asked during surveys about sensitive events such as fistula and FGM/C are not as accurate as the gold standard of a gynaecological examination, previous studies comparing self-reported status and clinical observation data47 48 have shown that self-reported measures of FGM/C status are a suitable proxy measure for FGM/C prevalence but not for the type of cut. Further, DHS data are nationally representative and because they are inherently hierarchical are suitable for investigating associations between FGM/C and fistula while considering other contextual and socioeconomic correlates. Countries included in the analysis are: Burkina Faso (DHS 2010), Chad (DHS 2014–2015), Côte d’Ivoire (DHS 2011–2012), Ethiopia (DHS 2005), Guinea (DHS 2012), Kenya (DHS 2014), Mali (DHS 2012–2013), Nigeria (DHS 2008), Senegal (DHS 2010–2011) and Sierra Leone (DHS 2013). These countries we selected based on availability of data on FGM/C and fistula in the various DHS datasets. The lack of data on both FGM/C and fistula symptoms in certain surveys means that certain countries that could still be experiencing the burden of these conditions are excluded. It is equally important to note that due to lack of consistency in collecting data on both fistula and FGM/C, some of the latest DHS data were excluded (eg, data on fistula were not collected in the 2011 Ethiopia DHS and 2013 Nigeria DHS). We computed cross-tabulations to estimate bivariate associations between fistula and FGM/C status. Due to sample size limitations, we conducted country-specific multivariate analyses for only five countries (Chad, Côte d’Ivoire, Ethiopia, Kenya and Sierra Leone) that had at least 100 cases of fistula. Results of multivariate analysis for country specific data are not shown in this paper. For details, please see online supplementary file 1—likelihood of reporting fistula symptoms among women of reproductive age (15–49 years) in Chad, Côte d’Ivoire and Ethiopia; and online supplementary file 2—likelihood of reporting fistula symptoms among women of reproductive age (15–49 years) in Kenya and Sierra Leone. bmjopen-2018-025355supp001.pdf bmjopen-2018-025355supp002.pdf In addition, we conducted a multivariate logistic regression analysis using pooled data from the 10 focus countries. Multivariate logistic regression was used to assess associations between fistula and FGM/C, adjusting for other possible covariates. The choice of independent variables (possible covariates of fistula) was informed by an extensive literature review that identified underlying socioeconomic and contextual factors, including gender and sociocultural norms that affect both FGM/C and fistula.32 The review, for instance, showed that poverty, unemployment, living in a rural area, limited access to health services and malnutrition (stunting) increased the likelihood of women undergoing FGM/C and developing fistula. In addition, the level of education has been associated with a family’s choice to continue or abandon FGM/C and improves awareness about the importance of antenatal care (ANC) and facility delivery to prevent fistula.32 The dependent variable in the multivariate logistic regression analysis is fistula symptoms whereby women were categorised either as having reported involuntary leakage of urine and/or faeces from the vagina or not. The main independent variable is FGM/C status—women categorised either as cut or uncut. Although there are validity concerns about self-reported type of cut in the DHS,47 48 we also examined differences by type of FGM/C—women categorised as cut with genitals sewn closed or cut but genitals not sewn closed. Due to sample size limitations, we examined differences by type of cut using pooled data from the 10 countries. Other independent variables included in the analysis were categorised as follows: Maternal age at first birth—categorised into four groups (below 15 years, 15–19 years, 20–24 years, and 25 years and above); region—categorised by area of residence according to each country’s geographical/administrative boundaries; urban/rural residence—categorised based on whether a woman lived in an urban or rural setting; maternal education—categorised based on the highest level of education attained (no education, primary, and secondary and higher education); religion—categorised based on women’s religious affiliation, either as Christians (Catholic, Protestant and other Christians) or non-Christians (Muslim, traditionalist, animist and those with no religion); ethnicity—categorised according to a woman’s reported ethnic background which varied from country to country; wealth—women were grouped in one of five wealth quintiles (poorest, poorer, middle, richer and richest) generated through principal component analysis using household assets and amenities data; number of ANC visits—women were categorised depending on the number of ANC visits they undertook when they were pregnant (0 visits, 1–3 visits and four and more visits); and place of delivery—categorised based on whether a woman gave birth at a health facility or at home. Home deliveries also included births outside the homestead; for example, on the way to the health facility. Based on the literature review conducted by Sripad et al 32 exploring the association between FGM/C and fistula,32 we conducted multivariate logistic regression analysis to explore the relationship between FGM/C and fistula symptoms using data from DHS. We hypothesised that FGM/C status predisposes women to fistula symptoms (Logit Model I), but that this relationship can be confounded by socioeconomic factors (Logit Model II) and a woman’s geographical context and access to health services (Logit Model III). Results from cross-tabulations between FGM/C and fistula symptoms are presented as percentages while those from multivariate analyses are presented as unadjusted ORs and adjusted odds ratios (AOR) with 95% CIs. Estimates with p values of less than 0.05 were considered statistically significant. All analyses were conducted using IBM SPSS V.20 and were weighted taking into account the DHS sampling strategy. Missing data was handled by pairwise deletion. The study used publicly available secondary data from DHS (https://dhsprogram.com/). Patients and the public were not involved.