1) Percentage of women age 15-49 who have ever heard of fistula.
2) Percentage of women age 15-49 who have ever experienced fistula.
Coverage:
Population base: Women age 15-49 years (IR file)
Time period: Current status at time of survey
Numerators:
1) Number of women age 15-49 who have ever heard of fistula (fistula_v1 = 1)
2) Number of women age 15-49 who have ever experienced fistula (fistula_v2 = 1)
Denominator: Number of women age 15-49 at the time of the survey
Variables: IR file.
|
fistula_v1 |
Ever experienced constant leakage of urine or stool from the vagina |
|
fistula_v2 |
Ever heard of fistula |
|
v005 |
Women’s sample weight |
Numerator divided by denominator, multiplied by 100.
The total includes woman with missing information.
There are no standard variables names for these variables. These variables will likely be included in the data file as country-specific variables. Country-specific variables begin with an “s”, though in this chapter we use “fistula_v*” to denote variables as they are not standard. Country-specific variables should be checked. These tables are not standard across all surveys over time. There is some variation in the presentation of these results among final reports.
A standardized fistula module was developed in 2006. DHS surveys conducted prior to the finalization of this module did not include these standardized questions. Additionally, prior surveys did not consistently ask fistula-related questions to all women. Thus, the denominators in tables in prior final reports vary by survey. For example, some surveys used a contingency question to filter women based on whether they had ever heard of fistula and only women responded affirmatively were asked if they had experienced fistula themselves. Additionally, the question that is used to assess self-reported prevalence of fistula was not standard and interpretation of results and cross-country comparison should be made with caution only after reviewing the survey instrument.
Biadgilign, S., Y. Lakew, A. A. Reda, and K. Deribe. 2013. "A population based survey in Ethiopia using questionnaire as proxy to estimate obstetric fistula prevalence: results from demographic and health survey. Reproductive health 10(1):14. https://reproductive-health-journal.biomedcentral.com/articles/10.1186/1742-4755-10-14
Johnson, K., and A. Peterman. 2008. Incontinence Data from the Demographic and Health Surveys: Comparative Analysis of a Proxy Measurement of Vaginal Fistula and Recommendations for Future Population-Based Data Collection. DHS Analytical Studies No. 17. Calverton, Maryland, USA: Macro International Inc. https://www.dhsprogram.com/publications/publication-as17-analytical-studies.cfm
Mallick, L. 2015. Comparative analysis of a proxy measurement of vaginal fistula: Supplement to DHS Analytical Studies No. 17. Rockville, Maryland, USA: ICF International. https://dhsprogram.com/publications/publication-OD67-Other-Documents.cfm
Mallick, L., and V. Tripathi. 2018. "The association between female genital fistula symptoms and gender‐based violence: A multicountry secondary analysis of household survey data. Tropical Medicine & International Health 23(1): 106-119. https://onlinelibrary.wiley.com/doi/full/10.1111/tmi.13008
DHS-8 Tabulation plan: Table F.1 (tables could be included in Chapter 9 Reproductive Health if there is no chapter dedicated to the topic of Fistula)
API Indicator IDs:
FI_EXFI_W_EEX, FI_EXFI_W_HRD