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

利用全国代表性调查对印度育龄妇女宫颈癌筛查覆盖率进行分解分析:分布情况及社会经济不平等决定因素

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Abstract

INTRODUCTION: Cervical 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. METHODS: STATA-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. RESULTS: The 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. CONCLUSION: India 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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