ArticleBMJ open2024
Multilevel analysis of individual and community factors of awareness of obstetric fistula among women of childbearing age in Nepal: analysis of recent Nepal Demographic and Health Survey 2022 data.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccording to the WHO, obstetric fistula (OBF) is an abnormal connection between the genital tract and the urinary tract that occurs as the result of obstetric trauma, typically from prolonged obstructed labour. In 2018, globally, 50 000 and 100 000 cases of OBF are reported each year. The core of activities focused on reducing fistulas depends on a review of the disorder's knowledge and the features of women at risk of having a lack of understanding. The effect of community-level factors on awareness of OBF was not yet known in Nepal. Therefore, we aimed to investigate the community-level and individual-level factors of awareness of OBF among childbearing-aged women in Nepal.
methodsThe 2022 Nepal Demographic and Health Survey data were used for this study. It included 14 845 childbearing-aged women. Because of the clustering effects of Demographic and Health Survey data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted OR (AOR) with a 95% CI was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data.
resultsThe overall prevalence of awareness of OBF among childbearing women in Nepal was 35.9% (95% CI 35.1%, 36.7%). Educational status (women who attended secondary education (AOR=1.65; 95% CI 1.41, 3.03) and higher education (AOR=4.29; 95% CI 1.14, 36.70)), currently working status (AOR=1.85; 95% CI 1.04, 3.30), birth history (AOR=2.23; 95% CI 1.48, 4.10), media exposure (AOR=1.54; 95% CI 1.07, 3.09) and women's age from 30 to 39 (AOR=3.38; 95% CI 1.35, 8.93) and 40 to 49 years old (AOR=4.68; 95% CI 1.60, 13.67) at the individual level, as well as urban residence (AOR=1.53; 95% CI 1.99, 2.87) and high community-level media exposure (AOR=2.05; 95% CI 1.67, 2.64) at the community level were statistically significant factors with awareness of OBF.
conclusionOur study revealed that awareness of OBF among childbearing-aged women in Nepal was low (35.9%). The findings of this study will assist policymakers and public health programmers in understanding the magnitude of OBF awareness and the contributory factors. In addition, it will be useful to increasing awareness of OBF in the communities and promoting primary prevention approaches through education and motivation efforts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.