Evidence map›Paper›PMID 34096404›Full record

ArticleWomen's health (London, England)

Hysterectomy in India: Spatial and multilevel analysis.

Angad Singh, Dipti Govil

Abstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. District-level monitoring of universal health coverage, India.Bulletin of the World Health Organization · 2024
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  15. Observational
  16. An audit of hysterectomy in a teaching hospital in India: Story of a decade.Journal of the Chinese Medical Association : JCMA · 2023
    Article
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  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Angad SinghInternational Institute for Population Sciences, Mumbai, India.
Dipti GovilInternational Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-0599-0045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing the unit-level data of women aged 15-49 years from National Family Health Survey-IV (2015-2016), the article maps the prevalence of hysterectomy across districts in India and examines its determinants.

methodsDescriptive statistics, multivariate techniques, Moran's Index and Local indicators of Spatial Association were used to understand the objectives. The data were analysed in STATA 14.2, Geo-Da and Arc-GIS.

resultsIn India, the prevalence of hysterectomy operation was 3.2%, the highest in Andhra Pradesh (8.9%) and the lowest in Assam (0.9%). Rural India had higher a prevalence than urban India. The majority of women underwent the operation in private hospitals. Hysterectomy prevalence ranged between 3% and 5% in 126 districts, 5% and 7% in 47 districts and more than 7% in 26 districts. Moran's Index (0.58) indicated the positive autocorrelation for the prevalence of hysterectomy among districts; a total of 202 districts had significant neighbourhood association. Variation in the prevalence of hysterectomy was attributed to the factors at the primary sampling unit, district and state level. Age, parity, wealth and insurance were positively associated with the prevalence of hysterectomy, whereas education and sterilization was negatively associated.

conclusionHysterectomy operation in India presented the geographical, socio-economic, demographic and medical phenomenon. The high prevalence of hysterectomy in many parts of the country suggested conducting in-depth studies, considering the life cycle approach and providing counselling and education to women about their reproductive rights and informed choice. Surveillance and medical audits and promoting the judicial use of health insurance can be of great help.

Indexed as

HysterectomyFemaleHumansIndiaMultilevel AnalysisPregnancyPrevalenceSocioeconomic FactorsdeterminantsdistricthysterectomyIndiaspatial

Identifiers

PMID34096404
PMCPMC8188977

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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.