Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2014 Nov 17;9(11):e112299. doi: 10.1371/journal.pone.0112299

Risk Factors for Obstetric Fistula in Western Uganda: A Case Control Study

Justus Kafunjo Barageine 1,2,*, Nazarius Mbona Tumwesigye 3, Josaphat K Byamugisha 1, Lars Almroth 2, Elisabeth Faxelid 2
Editor: Siladitya Bhattacharya4
PMCID: PMC4234404  PMID: 25401756

Abstract

Introduction

Two million women worldwide are living with genital fistula with an annual incidence of 50,000–100,000 women. Risk factors for obstetric fistula are context bound. Studies from other countries show variation in the risk factors for obstetric fistula. This study was conducted to identify risk factors for obstetric fistula in western Ugandan context.

Methods

A case control study comparing background factors of women with obstetric fistula (cases) and women without fistula (controls) was conducted in western Uganda. Data was collected using face-to-face interviews. Univariate, bivariate and multivariate analysis was conducted using Stata 12.

Results

Altogether, 420 respondents (140 cases and 280 controls) participated in the study. Duration of labour was used to form the product terms when assessing for interaction and confounding since it was one the most significant factors at bivariate level with a narrow confidence interval and was hence considered the main predictor. After adjusting for interaction and confounding, significant risk factors associated with development of obstetric fistula in western Uganda were: Caesarean section (adjusted odds ratio [AOR]  = 13.30, 95% CI  = 6.74–26.39), respondent height of 150 cm or less (AOR  = 2.63, 95% CI  = 1.35–5.26), baby weight of 3.5 kg or more (AOR  = 1.52, 95% CI  = 1.15–1.99), prolonged labour (AOR  = 1.06, 95% CI  = 1.04–1.08. A quarter of the fistulas had resulted from iatrogenic complication during caesarean section. Compared to no education, post primary level of education was protective against obstetric fistula (AOR  = 0.31, 95% CI  = 0.13–0.72) and there was no difference between respondents without education and those with primary level education.

Conclusions

Surgeons contribute to a big proportion (25%) of fistula cases hence caesarean section being a risk factor in this region. Other risk factors include; prolonged labour, weight of the baby of 3.5 kg or more, respondent height of 150 cm or less (short stature), and low or no education are risk factors for obstetric fistula in western Ugandan.

Introduction

Globally, 99 per cent of the 289,000 maternal deaths are in low-income countries [1], [2]. For each maternal death, 15 to 30 other women are left with serious morbidities including genital fistula, a preventable condition [3]. A genital fistula is an abnormal hole between the urinary tract or rectum and the genital tract, through which urine and/or faeces continually leak. A genital fistula is referred to as obstetric if it results from the process of labour or its management [4], [5]. When a fistula is from the urinary system it is referred to as Urogenital fistula [4]. About two million women worldwide have genital fistula with an annual incidence of 50,000 to 100,000 cases [6], [7]. In sub-Saharan Africa, 33,000 new fistula cases occur each year and this high incidence may be attributed to obstetric care services being unavailable, inaccessible, underutilized or of low quality [8], [9]. In Uganda, the national prevalence of fistula is two per cent among women aged 15–49 years and the prevalence is highest in the western region where one in 25 women has ever been affected [10], [11].

Most of the genital fistulas in low resource countries follow prolonged and neglected obstructed labour [6], [12], [13]. Other obstetric causes include destructive deliveries, caesarean section with or without hysterectomy, and symphysiotomy [6], [14][16]. Social, cultural and health system factors contribute to the prevalence of obstetric fistula in low-income countries [17], [18]. Fistula surgeons have observed that these factors are context bound and include: lack of emergency obstetric care, child marriage associated with early pregnancy, severe forms of female genital cutting, gender discrimination, poverty, malnutrition, and poor health services [19][21]. Maternal age less than 20 years has been cited to increase the risk of development of fistula but this seems to vary from country to country with a mean age of 22 years in Ethiopia and 28 in Nigeria [16],[22],[23]. Other risk factors that have been cited include prime parity, prolonged labour, stillbirth delivery, and poor socio-economic status [15], [16], [24], [25]. In Ethiopia, more than 60 per cent of the women with obstetric fistula are primiparas, with average labour duration of 3.9 days and 92 per cent are illiterate [16], [25]. Similar trends of illiteracy have been observed in Nigeria [26] and in East Africa [27].

Lack of access to appropriate emergency obstetric care has been highlighted as one of the main risk factor for obstetric fistula [21], [22]. Access to appropriate obstetric care is compounded by poverty and the dynamics in the health care system including the cost of a caesarean section and availability of service providers [28]. Other risk factors such as young mothers, first pregnancy and cultural practices have not been found to cause fistula in high-income countries where emergency obstetric care is available [4], [28]. These factors might, however, be important in low-income countries where some women delay in seeking care and thus don't obtain timely emergency obstetric care [4], [28]. The reasons for not seeking skilled care vary according to context such as educational level, socio-economic status, culture as well as accessibility to functioning health care facilities [4], [26], [29].

Currently, no epidemiological study has documented risk factors for obstetric fistula in a Ugandan setting. The aim of this study was therefore to identify the risk factors for obstetric fistula from a local context among women in western Uganda.

Materials and Methods

Study setting

The study was conducted at Kagadi and Kyenjojo general hospitals and Hoima regional referral hospital in western Uganda. The three sites are established sites for fistula outreach treatment. Data was collected from November 2011 to May 2012. This area is a rural, predominantly farming area with poor reproductive health indicators, and have the highest prevalence of fistula (4%) in the country [10]. Maternal health care utilization is low with only 56 per cent of women giving birth assisted by skilled birth attendants [11].

Study design

A case control study design was used in which 140 cases and 280 controls were included using face-to-face interviews. The interviewers were four research assistants, the first author, who is a gynaecologist trained in fistula surgery and three trained midwives from Mulago and the respective hospitals.

Study population

Cases were patients confirmed by a doctor to have obstetric fistula irrespective of type and duration. The controls were other women without fistula who had ever given birth and were seeking treatment or attending to patients in the study units. Since these are community units, it was assumed that both cases and controls had a similar environmental exposure and were representative of the population in the area.

Sample size and sampling

The sample size was calculated apriori using OpenEpi, based on the formula described by Kelsey et al [30], with 95% two sided confidence level, 80% power and two controls per case. The exposure factor was the proportion of women delivering with no skilled birth attendant. We assumed that women with fistula were likely to have had no skilled labour monitoring and delivery. We also assumed that the controls were like any other Ugandan women reported in the 2006 Uganda demographic and health survey, where 58 per cent of the women were delivering with no skilled attendance [10]. With the resources at our disposal we aimed to have an effect difference of 14 per cent and hypothetically assumed that the proportion of those with fistula delivering without skilled attendance was 72.4 per cent. From the OpenEpi calculator, our sample size was hence fixed at 140 cases and 280 controls (one case to two controls). Cases were then recruited consecutively and for each case two controls were identified and interviewed.

Inclusion and exclusion criteria

Women from the study area, who presented for treatment, were screened, confirmed to have obstetric fistula and then enrolled as cases. The cases were confirmed to have obstetric fistula through history and pelvic examination. Controls were women, who had delivered before, with similar or higher parity corresponding to the pregnancy that resulted into fistula in the corresponding case and were frequency age-matched within a range of 5 years. Women with fistula not following labour process or its management like those with carcinoma, trauma, infections and others were excluded. Also women who were not from the study geographical location were excluded as either cases or controls.

Study variables

The study variables included socio-demographic, physical and obstetric factors highlighted in the literature to predispose women to fistula. The socio-demographic factors were; age at interview, age at marriage, age at first pregnancy, marital status, religion, respondent's education, spouse's education, occupation of spouse, occupation of respondent, and distance to the nearest health facility providing emergency obstetric care including caesarean section. The physical characteristics were height of the respondent and the baby's weight. The obstetric factors were: parity, antenatal care attendance, number of antenatal visits, being accompanied by husband, having a delivery plan, use of herbs in pregnancy and labour, attending antenatal health education classes, and being told the babies presentation. Other obstetric factors included mode of delivery, delivery attendant, and whether there was delay at facility (time spent at the health facility before delivery) or delay in making a decision to seek care, and the duration of labour.

Data collection

The data were collected using an interviewer-administered questionnaire by the first author assisted by trained research assistants who were midwives. A similar questionnaire was administered to both women who were the cases and those without fistula in the control group. Women who fulfilled the inclusion criteria were interviewed from a quiet and private room identified from outpatient department of the respective hospitals. The interviewers were knowledgeable in the local language and would translate the information and fill the data directly in English. The first author checked that data were filled in before respondents left the study site.

Data management

All the data were double entered in a computer and cleaned using Epidata version 3.1. Prior to data entry, the Epidata computer screen had been fitted with range and consistency checks. The data were exported to STATA version 12 [31] for further cleaning and then analysed by the first author assisted by the second author.

Data analysis

All variables were tested for significance at bivariate level using chi-square and the student's t-test for categorical variables and continuous variables respectively. Covariates that were significant at bivariate level with a P-value of less than 0.1 were entered in a multivariate stepwise (backwards and forwards) logistic regression model and the covariates included were tested for interaction and confounding. Odds ratios and 95% confidence interval were computed. The backward likelihood ratio method was used to select the best fitting model. Duration of labour in hours was the most significant variable in the model and was hence taken as the main predictor for obstetric fistula. Interaction terms for duration of labour and other variables were added in the models. We used the log ratio test where the fitness of the model with all the interaction terms included was compared with a fit of the model with none of the interaction terms. During the log ratio tests, the negative two-log likelihood (-2LL) of the full model and the reduced models were compared. Interaction was considered present when the difference between the -2LL were significant at P≤0.5 with a chi square test. Confounding was considered present if the difference between crude and adjusted odds ratios was greater than or equal to ten per cent. Depending on contribution to the goodness of fit of the model, variables left out were brought back into the model. Hosmer and Lemeshow's goodness of fit test was applied to check on quality of the model [32].

Ethical considerations

Respondents were given detailed information about the study: that participation was voluntary, no one would be denied access to services because of refusal to participate in the study, and that information obtained was confidential and would be used only for the purpose of the study. The study received ethical approval from institutional review boards in Uganda and Sweden (requirement for the Makerere University and Karolinska Institutet collaboration). In Uganda, the study received ethical approval from Makerere University, School of Medicine Research and Ethics Committee (#REC REF 2011-104). We also received ethical clearance and approval from the Uganda National Council for Science and Technology (UNCST) registration number HS 1337. We got verbal permission from the respective medical directors/superintendents of Hoima, Kagadi and Kyenjojo hospitals to conduct the study in the respective hospitals. From Sweden, the study protocol was presented and we received approval from the Regional Ethics Committee in Stockholm, (Protocol 2012/2∶4). Informed written consent was obtained from respondents before inclusion in the study. The three participants who were under 18 years assented and also their accompanying parents/guardians gave a written consent. The study conformed to the principles in the Helsinki declaration. All the data were kept confidential and participants were compensated for their time spent during the interviews with 5000 Uganda shillings (USD 2). Those cases not yet operated had their fistulas closed in the week following the interviews by the first author who is trained and skilled in fistula surgery.

Results

A total of 140 cases and 280 controls fulfilled the inclusion criteria. Of the 280 controls 238 (85%) were patient attendants while 42 (15%) were women seeking care for other gynaecological conditions in the study hospitals. All the women who were approached and fulfilled the inclusion criteria accepted and were interviewed. The respondents were aged 16 to 68 years at the time of the interviews and there were no statistical difference between ages of cases and controls. Of the 140 obstetric fistula cases: 110 (78.6%) had vesicovaginal fistula, five (3.6%) had combined vesicovaginal and rectovaginal fistulas, one (0.7%) had ureterovaginal fistula, 22 (15.7%) had rectovaginal fistula and two (1.4%) had post vesicovaginal fistula repair stress urinary incontinence. A total of 27 (25%) out of 109 women with urogenital fistula had vesicovaginal fistula type 1(VVF I) and ureterovaginal fistula, both of which are considered iatrogenic injuries by the surgeon. The surgeons who had performed the caesarean sections were all general practitioners with a first degree in medicine and surgery. They had also received one year clinical training as interns and were then posted to these hospitals. An obstetrician or a doctor with specialised training performed none of the caesarean sections. There was a high still birth rate among the cases compared with the controls with 100 (71%) of the women with fistula having lost their babies at birth compared to 40 (29%) among the controls (p<0.001). However the risk factors for stillbirth were correlated to the risk for fistula.

Bivariate results

The details of the socio-demographic characteristics including the P-values, crude Odds ratios and 95% confidence intervals are shown in table 1 . Being single was significantly associated with developing fistula compared to being married. There was no difference among widowed or divorced compared to married women. Anglicans were less likely to develop fistula compared to women belonging to other religions and so were those respondents who had a higher level of education and/or a spouse with a higher educational level compared to those with no education. Respondents who were income earners were less likely to develop fistula compared to housewives, while being a peasant farmer was more likely to predispose women to getting fistula compared to those with other occupations. Significantly more of the patients with fistula were living far from the nearest comprehensive Emergency Obstetric Care (EmOC) facilities with a median distance of 17.5 km compared to 5 km among the controls. The obstetric and physical factors, which were significantly more likely to predispose women to develop fistula included: Primiparas, use of local herbs in labour, not attending antenatal classes, delivery by caesarean section, women's height of 150 cm or less, delay to decide to seek care, prolonged labour, and delivery of a big baby (3.5 kg or more) as seen in table 2 . Time spent at the health facility before delivery, delivery attendant, a woman being told the baby's presentation, use of herbs during pregnancy, having a delivery plan, husband accompanying the wife during antenatal care, attending antenatal care services and the number of times a woman attends antenatal care clinic were not associated with fistula in this study.

Table 1. Socio-demographic factors of respondents.

Variable Case n = 140 (%) Control n = 280 (%) Crude OR (95% CI) P-value
Age at interview
10–19 18(12.9) 28(10.0) 1 0.589
20–29 51(36.4) 111(39.6) 0.72(0.36–1.41)
30–39 49(35.0) 87(31.1) 0.88(0.44–1.74)
40–49 14(10.0) 40(14.3) 0.54(0.23–1.27)
50+ 08(05.7) 14(05.0) 0.89(0.31–2.54)
Age at Marriage
<18 years 63(45.6) 127(46.7) 1 0.842
18 years & above 75(54.4) 145(53.3) 1.04(0.69–1.57)
Age at first pregnancy
<18 years 54(38.6) 118(42.3) 1 0.465
18 years & above 86(61.4) 161(57.7) 1.18(0.77–1.78)
Marital status
Married 92(65.7) 215(76.8) 1 0.047
Divorced 22(15.7) 33(11.8) 1.56(0.86–2.82)
Single 21(15.0) 21(7.5) 2.34(1.22–4.48)
Widowed 05(03.6) 11(3.9) 1.06(0.36–3.14)
Religion
Anglican 36(25.7) 108(39) 1 0.043
Catholic 63(45.0) 109(39.4) 1.73(1.06–2.83)
Moslems 08(05.7) 15(5.4) 1.60(0.63–4.08)
Other 33(23.6) 45(16.3) 2.20(1.22–3.96)
Respondent’s education
None 32(22.9) 40(14.3) 1 0.001
Primary 87(62.1) 153(54.7) 0.71(0.42–1.21)
Post primary 21(15.0) 87(31.0) 0.30(0.16–0.59)
Spouse's education
None 15(10.8) 14(5.0) 1 0.005
Primary 77(55.4) 130(46.4) 0.55(0.25–1.21)
Post primary 47(33.8) 136(48.6) 0.32(0.15–0.72)
Occupation of respondent
Housewife 54(38.6) 109(38.9) 1 <0. 100
Peasant farmer 68(48.6) 66(23.6) 2.08(1.30–3.33)
Income earner 18(12.8) 105(37.5) 0.35(0.19–0.63)
Occupation of spouse
Peasant farmer 63(45.0) 109(38.9) 1 0.622
Retail business 31(22.1) 66(23.6) 0.81(0.48–1.38)
Paid employee 21(15.0) 53(18.9) 0.83(0.47–1.47)
Others 25(17.9) 52(18.6) 0.69(0.38–1.24)
Median distance to nearest EmOC* unit in Km (Range) 17.5(0.5–130) 5 (0.5–100) 1.03(1.02–1.04) P<0.001

*EmOC  =  emergence obstetric care.

Table 2. Obstetric and physical characteristics of respondents (140 cases, 280 controls).

Variable Case N (%) Control N(%) Crude OR (95% CI) P-value
Parity
Primipara 46(32.9) 46(16.4) 1 0.001
Para 2–4 47(33.6) 125(44.6) 0.38(0.22–0.64)
Grand multipara 47(33.6) 109(38.9) 0.43(0.25–0.74)
ANC attendance
Yes 135(96.4) 275(98.2) 1 0.258
No 05(03.6) 05(01.8) 2.04(0.58–7.16)
Number of ANC visits
Less than 4 73(54.5) 127(46.4) 1 0.123
4 or more 61(45.5) 147(53.6) 0.72 (0.48–1.09)
ANC Husband accompany
Yes 60(43.8) 124(45.1) 1 0.803
No 77(56.2) 151(54.9) 1.05(0.70–1.59)
Delivery plan
Yes 81(58.3) 179(63.9) 1 0.262
No 58(41.7) 101(36.1) 1.27(0.84–1.92)
Herbal use in pregnancy
Yes 49(35.5) 78(29.0) 1 0.180
No 89(64.5) 191(7.0) 0.74(0.48–1.15)
Herbal use in labour
Yes 35(25.0) 35(12.5) 1 0.001
No 105(75.0) 244(87.5) 0.43(0.26–0.73)
Attend Antenatal classes
Yes 106(76.1) 245(87.5) 1 0.003
No 33(23.7) 35(12.5) 2.18(1.29–3.70)
Told baby presentation
Yes 113(82.5) 243(88.0) 1 0.123
No 24(17.5) 33(12.0) 1.56(0.88–2.77)
Mode of delivery
Vaginal delivery 71(50.7) 264(94.6) 1 <0.001
Caesarean Section delivery 69(49.3) 15(05.4) 17.10(9.23–31.69)
Delivery attendant
None 01(00.7) 14(05.0) 1 0.082
Unskilled 20(14.3) 40(14.3) 7(0.86–57.08)
Skilled 119(85.0) 226(80.7) 7.37(0.96–56.74)
Respondent's height (cm)
Less or equal 150 46(33.1) 33(11.8) 1 <0.001
More than 150 93(66.9) 247(88.2) 0.27(0.16–0.45)
Baby weight
Less than 3.5 kg 50(36.2) 163 (58.8) 1 <0.001
3.5 kg and above 88(63.8) 114 (41.2) 1.59(1.29–1.96)
Time to decide to seek care from onset of labour (hrs); Median (Range) 8(0–72) 4(1–48) 1.06(1.03–1.08) <0.001
Time at health facility before delivery (hrs); Median (Range) 4(1–72) 4(1–50) 1.09(0.99–1.03) 0.902
Duration of labour (hrs); Median (Range) 21(2–96) 12(2–73) 1.06(1.04–1.09) <0.001

ANC  =  antenatal care, TBA  =  traditional birth attendant, hrs  =  hours.

Multivariate results

All factors, with a p-value ≤0.10 at bivariate analysis, were entered in the model at multivariate analysis. After testing for interaction and controlling for confounding, statistical significant risk factors in the model are presented in table 3 . The following risk factors were significantly associated with developing a fistula among woman from western Uganda: Caesarean section (adjusted odds ratio [AOR]  = 13.30, 95% CI  = 6.74–26.39), respondent height of 150 cm or less (AOR  = 2.63, 95% CI  = 1.35–5.26), baby weight of 3.5 kg or more (AOR  = 1.52, 95% CI  = 1.15–1.99), prolonged labour (AOR  = 1.06, 95% CI  = 1.04–1.08. Compared to no education, post primary level of education was protective against obstetric fistula (AOR  = 0.31, 95% CI  = 0.13–0.72) and there was no difference between respondents without education and those with primary level education. All other factors, which were significant at the bivariate analysis, were not at multivariate analysis and were therefore excluded from the final adjusted multivariate model.

Table 3. Multivariate analysis of risk factors for obstetric fistula.

Variable Crude OR (95% CI) Adjusted OR (95% CI) P-Value
Duration of labour (hrs) * 1.06 (1.04–1.09) 1.06 (1.04–1.08) <0.001
Baby weight (Kg) *
Less than 3.5 Kg 1 1
More or equal 3.5 Kg 1.59 (1.28–1.95) 1.52 (1.15–1.99 0.003
Respondent height (cm) *
More than 150 cm 1 1
150 cm or less 3.70 (2.22–6.25) 2.63(1.35–5.26) 0.004
Mode of Delivery *
Vaginal delivery 1 1
Caesarean Section 17.10(9.23–31.69) 13.30(6.74–26.39) <0.001
Respondent's level of education *
No education 1 1
Primary 0.71(0.42–1.21) 0.63(0.31–1.23) 0.176
Post Primary 0.30(0.16–0.59) 0.31(0.13–0.72) 0.007
Antenatal attendance
Yes 1
No 2.04(0.5–7.16) - -
Distance to the nearest EmOC Obstetric Care unit (Km) 1.03 (1.02–1.04) - -
Time from on-set of labour to decision to seek care (hrs) 1.06 (1.03–1.08) - -
Time spent at health facility before delivery (hrs) 1.09 (0.99–1.03) - -

*Significant variables at multivariate analysis, EmOC  =  Emergency obstetric care, hrs  =  hours.

Discussion

This case control study, which analysed risk factors for obstetric fistula among women in a western Ugandan is the first analytic study conducted in this setting. Previous studies highlighting risk factors for fistula in Uganda were descriptive studies, hence independent association could not be established among the identified factors [27]. In the current study, risk factors for fistula were: delivery by caesarean section, prolonged labour, big baby (weight of 3.5 kg or more), short stature (women with a height of 150 cm or less), and no education or primary education. All other factors that were highlighted in other studies as risk factors for fistula [4], [20], [21], [28], [33][36] were not independent risk factors for developing fistula among women in western Uganda after logistic regression analysis.

Age of respondents at interview was similar among cases and the controls because of frequency matching by age. Though age at marriage was similar among the cases and controls, women in this region generally marry at a young age [11]. Almost half of the women were married by 18 years of age, even if the country laws stipulate that marriage should be above 18 years. This low age at marriage is comparable to what has been found in other low income countries like Ethiopia and Ghana where mean age at marriage among women with fistula was 22 and 25 years respectively [35], [37]. However, age at marriage was not significant as a risk factor for fistula at multivariate level in our study.

Marital status was not an independent risk factor for fistula though at bivariate analysis, but more women among controls compared to cases were married. In other countries marital status has been found to be a risk factor but this was not the case in our context [20]. The proportion of fistula patients who were divorced was much lower than in other countries [20], [35], [38], [39]. This could be explained by the culture and religious beliefs in western Uganda whereby society looks at a divorcee as a failure [40]. The alternative explanation could be that the studies elsewhere were descriptive, hence not controlling for confounding and interaction, which was done in this study.

Women's low level of education (none or primary) was a risk factor for fistula, while post primary level of education was protective. A big proportion of both cases and controls generally had none or low-level education (primary). The results agree with what were found in other studies in Africa where no education or low-level education was a significant risk factor for fistula [27], [35], [37]. The fact that there were few educated women with fistula compared to those without has both clinical and policy implications. Clinically women with low-level or no education should be targeted during health education sessions to explain need for delivery under skilled attendance. Policy wise, results from this study show that there is need to target education programs for women to at least post primary level as one of the strategies to control and eliminate obstetric fistula in Uganda.

The risk of developing fistula was not predicted by attending antenatal care or not. Among both cases and controls antenatal attendance was high with more than 96 women in 100 attending at least once. Other studies in Africa have found that failure to attend antenatal care is a risk factor [20], [21], [41]. The finding in our study may be explained by the intense media campaigns in Uganda to end fistula and also prevent maternal morbidity and mortality. A similar trend was observed in a Kenyan study [42]. Despite the fact that more than 96 out of 100 women had attended antenatal care in both cases and controls, the fistula patients took twice as long time to make a decision to seek care compared to the controls. This delay in seeking care may be explained by the fact that despite women attending, the antenatal care messages may not be well packed to emphasize delivery under skilled attendance. This may also be attributed to transport problems, poverty, and home delivery practices [43]. In a study from Entebbe, Uganda, about one in two women who delivered at home with no skilled assistance lacked finances for transport and were poor [43]. This finding is clinically relevant and calls for improvement of quality of information during antenatal care. Policy wise, this calls for government to consider a scheme to fund transport of women in labour and this would prevent women from getting obstetric fistula.

In our study, duration of labour was generally longer among the cases than among controls, with half of the women with fistula having had labour for more than 21 hours (median duration) compared to the controls whose median duration was 12 hours. The results were in agreement with results from a Kenyan study where women who developed a fistula had a median duration of labour of more than 24 hours [42]. This calls for a campaign to intensify labour monitoring using a partograph in Ugandan hospitals and also to encourage women to deliver in hospital. This may be through media campaigns and use of community leaders in identifying and referral of women. Also midwives should receive continuing medical education about the need to monitor the labour process using partograph but even more important what to do when the woman “fall outside” the stipulated progress time.

The baby's weight of 3.5 kg or more was a significant risk factor for fistula. This can be explained by the fact that a big baby is more likely to lead to obstructed labour due to cephalo-pelvic disproportion as has been highlighted in other studies [5], [21], [22], [33]. This calls for vigilant screening for foetal size through well trained/skilled midwives assessing the pelvis and also the use of ultrasound to identify large babies followed by a planned delivery and extra monitoring.

In our study, cases were considerably shorter (height of 150 cm or less) than controls. After controlling for interaction and confounding, women who were 150 cm or less were 2.6 times more likely to develop fistula compared to those whose height was more than 150 cm. The trend can also be explained by the fact that short stature is likely to be associated with high risk of contracted pelvis and cephalo-pelvic disproportion. Similar findings have been found in other studies in Africa [27], [41], [42], [44]. This calls for policies in prevention of obstetric fistula from childhood by addressing nutrition and growth monitoring of the girl child to prevent her from getting stunted. Clinically women of short stature should routinely have pelvic assessment and their labour monitored using a partograph.

In this study, mode of delivery was identified as a risk factor. Women with fistula were more likely to have had delivery by caesarean section compared to controls. Fifty out of 100 women among the cases had had a caesarean section compared to five out of 100 women among the controls. A woman having been delivered by caesarean section was seventeen times more likely to be a case than a control at multivariate analysis. It is known that timely caesarean section by an expert surgeon relieves obstructed labour and hence prevents fistula [5], [12], [14], [33]. However, studies have also demonstrated that fistula actually may be due to caesarean section in women who present late in labour and are operated by physicians without enough surgical experience and with inadequate equipment [35]. The fact that 25 per cent of the women had a fistula whose cause was attributed to injury by surgeon means that caesarean section is not only preventative procedure but can cause obstetric fistula especially the injury of the ureter and the dome of the urinary bladder [35], [45]. It was indeed puzzling to have 25% due to iatrogenic causes with injury to bladder or ureters tied. This however, could be explained by difficult operations or operation in hands of inexperienced surgeon. If these women had not been operated they would most likely have developed fistula but the normal practice would be to have a skilled surgeon whom we never found in these sites. Medical officers with undergraduate training and three months internship training in maternity care run general hospitals in western Uganda. They are posted to these hospitals by ministry of health where they work with no senior surgical supervision. The fact that they encounter women who have delayed at home with an average of 8 hours before making a decision to go to hospital may explain the high prevalence of caesarean related iatrogenic fistulas. The association of fistula to injury by surgeon was also highlighted in a previous study conducted in Uganda [46]. Vesicouterine fistulas are often a result of complications encountered during caesarean section rather than direct consequences of obstructed labour as shown in a study from Ghana where Danso et al [35] found that 16 per cent of the fistulas were due to caesarean section. Another study from Cameroon found similar trends and identified the mode of delivery as a risk factor [47]. However, these patients were found to have supra-trigonal fistula (high vesicovaginal fistula above the point where ureters enter urinary bladder), which tend to be iatrogenic obstetric fistula [21], [33], [47]. This finding has clinical and public health implications whereby there is need to repackage the surgical skills given to new medical officers who do the surgeries in these health centres. This aspect is an important finding from our study, which needs to be addressed. The association of caesarean section and fistula in our study is highly significant, and supported by the types of fistulae found and by other studies. There is therefore need for urgent attention by studying why there is a high prevalence of iatrogenic injuries and appropriate remedial measures put in place. These remedial measures may include retraining of the medical officers, support supervision, timely patient referral and the need for continuous medical education.

Methodological considerations

Recall bias may distort the associations as cases may have better recalls than the controls. The interviewers were not blinded on who the case or control was but they were trained in order not to influence the answers. Frequency matching means we could not assess the age factor as a risk factor for fistula though other studies have previously highlighted young women to be more likely to develop fistula. The cases of fistula are rather rare and maybe the trend could be different if we were to have large samples. Hospital controls were recruited among women who were sick or attendants to other patients in the hospital and these women might have different exposure histories compared to if we had recruited women from the community, which was not possible due to logistical reasons. The fact that we could not tell which women had cephalo-pelvic disproportion or obstructed labour but no fistula is a limitation. These women should have been excluded since they may be similar to those who developed fistula. Caesarean section for obstructed labour is technically difficult and surgeons require good supervision and training in this procedure. It would have been more meaningful to clarify the nature of these caesarean sections (at what stage of labour were they done/were they elective or emergency). However, we could not get this information and the women were not in position to give reliable information. More clear results from a prospective study would be necessary to solve this limitation. These results are generalizable to western Uganda context based on the fact that we had a reasonable sample size and cases and controls were from the same geographical location. Also the results are generalizable in contexts with similar resource context like western Uganda. However, the findings may not be generalized to other areas with different cultures and settings.

Conclusions

Caesarean section delivery, prolonged labour, big baby (weight of 3.5 kg or more), respondent height of 150 cm or less (short stature), and low education (no education and primary level) are risk factors for obstetric fistula in western Ugandan. This study demonstrates that in this context there is need to improve on obstetric care and avoid prolonged obstructed labour, improve skills of medical officers and midwives in lower emergency obstetric care units though regular support supervision and in-service training. Since specialists in Obstetrics and gynaecology had operated none of the women, we feel these results may be the basis for retraining of the medical officers (GPs) to gain skills. Antenatal care and proper screening and health education need to be stepped up and be more focused at all levels in the health care system. Women who are short and those whose babies appear big need to be properly assessed and a delivery plan made and implemented in time. The skills of doctors need to be continuously monitored and improved to avoid iatrogenic fistula. Monitoring of labour using a partograph must be revitalized in this setting to avoid prolonged labour. Community interventions geared at making the population aware of the risk factors should be devised.

Acknowledgments

We are grateful to the entire staff of Hoima, Kagadi and Kyenjojo hospitals for having supported the study. We are also grateful to the women who agreed to participate in the study. Special thanks to Achayo Evelyn, Nyakato Felista, Nakamya Proscovia, who were our research assistants. And finally thanks to Nakayiza Annet, Nzyabake Mary, Akusekera M, and Africa Bernard who assisted (anaesthesia and scrub nurses) in the operation theatres when the respondents were operated in the above hospitals.

Funding Statement

The study was funded by Swedish International Development Cooperation Agency (Sida) under the Makerere University - Karolinska Institutet collaboration Phase 3. The funders had no role in the study design, data collection, analysis, decision to publish or preparation of the manuscript.

References

  • 1.WHO (2005) Make every mother and child count. Geneva, Switzerland
  • 2.WHO (2012) Trends in maternal mortality: 1990 to 2010 WHO, UNICEF, UNFPA and The World Bank estimates.
  • 3.UNFPA (2005) The Campaign to End Fistula New York: UNFPA.
  • 4.Lewis G, de Bernis L (2006) Obstetric Fistula: Guiding principles for clinical management and programme development. Geneva: WHO. [DOI] [PubMed]
  • 5.Hancock B, Browning A (2009) A text book of practical obstetric fistula surgery. London: Royal Society of Medicine Press Ltd.
  • 6. Wall LL, Arrowsmith SD, Briggs ND, Browning A, Lassey A (2005) The Obstetric Vesicovaginal Fistula in the Developing World. Obstetrics & Gynecology Survey 60: S3–S47. [DOI] [PubMed] [Google Scholar]
  • 7.Murray CJL (1998) Health diamensions of sex and reproduction. WHO, Geneva, Switzerland.
  • 8. Donnay F, Ramsey K (2006) Eliminating obstetric fistula: Progress in partnerships. International Journal of Gynecology & Obstetrics 94: 254–261. [DOI] [PubMed] [Google Scholar]
  • 9.UNFPA (2005) The Campaign to End Fistula. Annual Report.
  • 10.UBOS (2007) Uganda Demographic and Health Survey 2006. Uganda beareu of Statisyics and Macro International In Calverton, Maryland, USA: UBOS and Macro International Inc.
  • 11.Uganda Bureau of Statistics (UBOS) ICF International Inc (2012) Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and Calverton, Maryland: ICF International Inc.
  • 12.Waaldijk K (2008) obstetrics fistula surgery art and science. campion press.
  • 13.Hancock B (2005) First Steps In Vesico-Vaginal Fistula Repair. London: The Royal Society of Medicine Press Ltd.
  • 14.Goh JWT, Krause HG, editors (2004) Female Genital tract fistulae: Brisbane: University of Queensland Press.
  • 15. Murray C, Goh JT, Fynes M, Carey MP (2002) Urinary and faecal incontinence following delayed primary repair of obstetric genital fistula. BJOG: An International Journal of Obstetrics & Gynaecology 109: 828–832. [DOI] [PubMed] [Google Scholar]
  • 16. Thomson AM (2007) Women with obstetric fistula in Ethiopia. Midwifery 23: 335–336. [DOI] [PubMed] [Google Scholar]
  • 17.FIGO P (2011) Global Competency-Based Fistula Surgery Trainining Manual. 119–157.
  • 18.Abrams P, de Ridder D, de Vries C, Elneil S, Esegbona G, et al.. (2012) Epidemiology of obstetric fistula. In: Abrams P, editor. Obstetric fistula in the developig world: international continence Society (SIU). pp. 17–25.
  • 19. FIGO (2006) Ethical guidelines on obstetric fistula. Int J of Gynecology and Obstetrics 94: 174–175. [DOI] [PubMed] [Google Scholar]
  • 20. Melah GS, Massa AA, Yahaya UR, Bukar M, Kizaya DD, et al. (2007) Risk factors for obstetric fistulae in north-eastern Nigeria. Journal of Obstetrics & Gynaecology 27: 819–823. [DOI] [PubMed] [Google Scholar]
  • 21. Tebeu PM, Fomulu JN, Khaddaj S, de Bernis L, Delvaux T, et al. (2012) Risk factors for obstetric fistula: a clinical review. Int Urogynecol J 23: 387–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Tahzib F (1983) Epidemiological determinants of vesicovaginal fistulas. BJOG: An International Journal of Obstetrics & Gynaecology 90: 387–391. [DOI] [PubMed] [Google Scholar]
  • 23. Olesegun AK, Akinfolarin AC, Olabisi LM (2009) A review of clinical pattern and outcome of vesicovaginal fistula. J Natl Med Assoc 101: 593–595. [DOI] [PubMed] [Google Scholar]
  • 24. Kelly J, Kwast BE (1993) Epidemiologic study of vesicovaginal fistulas in ethiopia. International Urogynecology Journal 4: 278–281. [Google Scholar]
  • 25. Williams G (2007) The Addis Ababa fistula hospital: Aholistic approach to the management of patients with vesicovaginal fistulae. Surgeons 5: 54–57. [DOI] [PubMed] [Google Scholar]
  • 26. Wall LL, Karshima JA, Kirschner CA, Arrowsmith SD (2004) The obstetric vesicovaginal fistula: characteristics of 899 patients from Jos, Nigeria. Am J Obstet Gynecol 190: 1011–1019. [DOI] [PubMed] [Google Scholar]
  • 27. Raassen T, Verdaasdonk E, Vierhout M (2008) Prospective results after first-time surgery for obstetric fistulas in East African women. International Urogynecology Journal 19: 73–79. [DOI] [PubMed] [Google Scholar]
  • 28. Kelly J, Winter HR (2007) Reflections on the knowledge base for obstetric fistula. International Journal of Gynecology & Obstetrics 99: S21–S24. [DOI] [PubMed] [Google Scholar]
  • 29. Harrison K (1996) Macroeconomics and the African mother. J R Soc Med 89: 361–362. [PMC free article] [PubMed] [Google Scholar]
  • 30. Kelsey JL WA, Evans AS, Thompson WD (1996) Methods in Observational epidemiology. table 12–15. [Google Scholar]
  • 31.STATA Corp (2011) STATA: Release 12. Statistical software. College station, TX: StataCorp LP.
  • 32.Hosmer DW, Lemeshow S (1989) Applied logistic regression.
  • 33.Waaldijk K (1998) Step by step surgery of vesico vaginal fistulae. Edinburgh (UK): Campion Press.
  • 34. Browning A, Lewis A, Whiteside S (2014) Predicting women at risk for developing obstetric fistula: a fistula index? An observational study comparison of two cohorts. BJOG: An International Journal of Obstetrics & Gynaecology 121: 604–609. [DOI] [PubMed] [Google Scholar]
  • 35. Danso KA, Martey JO, Wall LL, Elkins TE (1996) The epidemiology of genitourinary fistulae in Kumasi, Ghana, 1977–1992. International Urogynecology Journal 7: 117–120. [DOI] [PubMed] [Google Scholar]
  • 36. Hadar E, Melamed N, Tzadikevitch-GeffenK, Yogev Y (2011) Timing and risk factors of maternal complications of cesarean section. Archives of gynecology and obstetrics 283: 735–741. [DOI] [PubMed] [Google Scholar]
  • 37. Kelly J, Kwast BE (1993) Epidemiologic study of vesicovaginal fistulas in ethiopia. International Urogynecology Journal 4: 278–281. [Google Scholar]
  • 38. Muleta M (2004) Socio-demographic profile of and obstetric experiences of fistula patients managed at Addis Ababa Fistula Hospital. Ethiopia Madical journal 42: 9–16. [PubMed] [Google Scholar]
  • 39. Larissa M, Ascher-Walsh CJ, Norman R, Idrissa A, Herbert H, et al. (2007) Commonalities among women who experienced vesicovaginal fistulae as a result of obstetric trauma in Niger: results from a survey given at the National Hospital Fistula Center, Niamey, Niger. American Journal of Obstetrics and Gynecology 197 90. e91–90. e94. [DOI] [PubMed] [Google Scholar]
  • 40.Ntozi JPM, Kabera JB (1988) Marriage Patterns in Ankole, South-Western Uganda. Makerere University.
  • 41. Ampofo EK, Omotara BA, Otu T, Uchebo G (1990) Risk factors of vesico-vaginal fistulae in Maiduguri, Nigeria: a case-control study. Trop Doct 20: 138–139. [DOI] [PubMed] [Google Scholar]
  • 42. Roka ZG, Akech M, Wanzala P, Omolo J, Gitta S, et al. (2013) Factors associated with obstetric fistulae occurrence among patients attending selected hospitals in Kenya, 2010: a case control study. BMC Pregnancy and Childbirth 13: 56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Tann CJ, Kizza M, Morison L, Mabey D, Muwanga M, et al. (2007) Use of antenatal services and delivery care in Entebbe, Uganda: a community survey. BMC Pregnancy and Childbirth 7: 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Wall LL, Karshima JA, Kirschner C, Arrowsmith SD (2004) The obstetric vesicovaginal fistula: characteristics of 899 patients from Jos, Nigeria. Am J Obstet Gynecol 190: 1011–1019. [DOI] [PubMed] [Google Scholar]
  • 45. Onsrud M, Sjøveian S, Mukwege D (2011) Cesarean delivery-related fistulae in the Democratic Republic of Congo. International Journal of Gynecology & Obstetrics 114: 10–14. [DOI] [PubMed] [Google Scholar]
  • 46. Kabayambi J, Barageine JK, Matovu JKB, Beyeza J, Ekirapa E, et al. (2014) Living with Obstetric Fistula: Perceived Causes, Challenges and Coping Strategies among Women Attending the Fistula Clinic at Mulago Hospital, Uganda. International Journal of TROPICAL DISEASE & Health 4: 352–361. [Google Scholar]
  • 47. Tebeu PM, de Bernis L, Doh AS, Rochat CH, Delvaux T (2009) Risk factors for obstetric fistula in the Far North Province of Cameroon. International Journal of Gynecology & Obstetrics 107: 12–15. [DOI] [PubMed] [Google Scholar]

Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES