ArticleReproductive health2025
Decomposition analysis of coverage of cervical cancer screening among Indian women within reproductive age-group: distribution and determinants of socioeconomic inequalities using a nationally representative survey.
Article in Reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Baseline inflammatory and metabolic indicators associated with early PD-1 inhibitor resistance in advanced cervical cancer: a retrospective cohort study.Frontiers in medicine · 2026Article
- Decomposing Oral Cancer Screening Inequalities Across Wealth Index among Indian Women Aged 30-49 Years: Findings From National Family Health Survey-5.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionCervical cancer (CC) screening promotes early identification and treatment. Increasing participation in screening is difficult because of socioeconomic and cultural impacts. The objective was to estimate distribution and factors contributing to socioeconomic inequalities in CC screening across wealth index among women aged ≥ 30 at the national and subnational levels.
methodsSTATA-v17 was used to analyse the data from the National Family Health Survey-5 in India to estimate the coverage of CC screening among Indian women aged ≥ 30. Concentration index highlighted socio-economic disparities across states and union territories (UTs) based on wealth. Screening inequalities were recorded, stratified by residence, area, states, and UTs. Spatial map was used to depict the difference (richest-poorest) in coverage of CC screening (%) for states/UTs. Erreygers method was performed for further decomposition.
resultsThe overall coverage (1.96%) of CC screening raised as the wealth quintile increased (0.99 to 2.45%). Both high overall coverage and disparity (richest-poorest) was reported in Chandigarh, Punjab, Manipur, Mizoram, Maharashtra, and Kerala. The Inequalities of CC screening was concentrated among the wealthy: overall concentration index- 0.011 (0.010 to 0.013)). The north (0.009 (0.007 to 0.010)) and north-east (0.009 (0.007 to 0.010)) have the highest inequality. BMI (6.15%), number of living children (7.15%), education (9.17%), residential variance (14.17%), regional (21.37%), and non-exposure to media (49.21%) positively contributing to disparities, whereas regular fruit consumption (-7.25%) and caste variation (-10.99%) were negatively influencing factors.
conclusionIndia has a low overall screening adoption percentage. The socioeconomic disparities at different levels can be effectively addressed by early and regular screening, especially for the poor.
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