ArticleBMC women's health2022
Prevalence, socio-demographic determinants, and self-reported reasons for hysterectomy and choice of hospitalization in India.
Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Correlates of hysterectomy in low- and middle-income countries: a systematic review.Journal of global health · 2026Pooled it
- Maternal characteristics, clinical indications, and neonatal outcomes in cesarean hysterectomy: A cross-sectional study.International journal of reproductive biomedicine · 2026Article
- "Someone could have told me": a qualitative study on experiences with hysterectomy decision-making and regret in Mysore, India.Frontiers in global women's health · 2026Article
- Public Health Impact and Cost-Effectiveness of 2-Dose vs 1-Dose Human Papillomavirus Vaccination Regimen in Saudi Arabia.Journal of health economics and outcomes research · 2026Article
- Article
- Female sterilization paradoxical association with premature menopause in Bihar.Scientific reports · 2025Article
- Intersectionality and women's empowerment in hysterectomy decisions: an inquiry using data from a large cross-sectional sample survey in India.Frontiers in global women's health · 2025Article
- Comprehending unwanted hysterectomies in developing nations: an analysis of women's decision-making processes, underlying causes, and subsequent consequences.Annals of medicine and surgery (2012) · 2024Article
- Prevalence of hysterectomy and its determinants in northern Iran: enrollment results of the Tabari cohort study.BMC women's health · 2024Article
- Review
- Prevalence and determinants of hysterectomy in India.Scientific reports · 2023Observational
- Efficacy ofJournal of mid-life healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is limited evidence of hysterectomy in India because of a lack of data in large-scale, nationally representative health surveys. In 2015-16, the fourth National Family Health Survey (NFHS-4)-a cross-sectional survey-collected for the first-time direct information on hysterectomy and self-reported reasons for undergoing the procedure among women in the reproductive age group. The current study evaluates the prevalence, determinants, and choice of hospitalization (Public vs. Private) for conducting hysterectomy in India among women aged 15-49 years in 29 states and seven union territories (UTs) based on the new large-scale population-based nationally representative dataset (NFHS 5).
methodsCross-tabulations and percentage distributions were utilized to analyse the prevalence of hysterectomy and the choice of hospitalization (public vs. private) across different socioeconomic backgrounds and reasons for undergoing hysterectomy. A multivariate binary logistic regression model was also used to find statistically significant determinants of hysterectomy.
resultsIn India as a whole, 3.3% of women aged 15-49 years had undergone a hysterectomy. The percentage of women who had undergone the procedure was found to vary considerably across the states and the UTs. The southern region stands out for the considerably higher prevalence of hysterectomy; particularly in the states of Andhra Pradesh (8.7%) and Telangana (8.2%), the prevalence was very high followed by Bihar (6%) and Gujrat (4%). On the other hand, the North-eastern region had the lowest prevalence of hysterectomy (1.2%). A noticeable fact that emerged was that the majority of the hysterectomies were performed in the private sector (69.6%) in India. But the scenario was quite different in north-eastern region as in this region more hysterectomies were performed in public health facilities (73%) rather than private health facilities (26.7%). Age, place of residence, religion, caste, level of education, geographic region, wealth quintiles, parity, age at first cohabitation of women were found to be the socio-demographic determinants statistically associated with hysterectomy in India. The likelihood of hysterectomy was higher among women living in rural areas (AOR: 1.3, CI: 1.23-1.35), in the richest wealth quintile (AOR 2.6; CI 2.37-2.76) and in the southern region (AOR 1.6; CI 1.47-1.66). The reasons frequently reported for hysterectomy were excessive menstrual bleeding/pain, followed by fibroids/cysts.
conclusionThis study has attempted to analyse hysterectomy prevalence and its socio-economic determinants using the latest fifth round of NFHS data of all the states and covering 21 states and union territories of India, which gives wider coverage of hysterectomy and more recent with accurate data. More research is needed therefore to unravel the complex dynamics of hysterectomy in India (and elsewhere) which could be used to help women make more informed choices and in turn advance their reproductive health and rights.
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.