乳房x光检查的可及性、剥夺性和空间效应在法国乳腺癌筛查参与中的作用:一项观察性生态学研究。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Nirmala Prajapati, Patricia Soler-Michel, Verónica M Vieira, Cindy M Padilla
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引用次数: 1

摘要

背景:在早期潜伏阶段发现癌症可以提高患者康复的机会,从而减少疾病的总体负担。我们的目标是调查影响乳房x线摄影筛查参与率变化的因素(地理可及性和剥夺水平),并确定在控制协变量的同时,相邻地区之间的溢出效应可以解释参与率的地理差异。方法:以人口普查区块(CB)计算2015 - 2016年居住在里昂都市圈的50-74岁女性乳房x线摄影筛查参与率。采用全球空间自相关检验来确定参与的地理差异。利用空间回归模型结合空间结构来估计乳房x光检查参与率与综合效应(地理可达性和剥夺水平)之间的关系,调整了旅行方式和社会凝聚力。结果:乳房x线检查参与率与空间正相关,具有统计学意义。一个CB的参与率与相邻CB的参与率呈显著正相关。结论:本研究在测量地理可及性和更好地理解剥夺和城市化程度对乳房x光检查参与和其他影响使用乳房x光检查服务决策的背景因素的综合影响方面做出了重要的方法学贡献-这是医疗保健计划和公平的关键组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study.

Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study.

Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study.

Background: The detection of cancer in its early latent stages can improve patients' chances of recovery and thereby reduce the overall burden of the disease. Our objectives were to investigate factors (geographic accessibility and deprivation level) affecting mammography screening participation variation and to determine how much geographic variation in participation rates can be explained by spillover effects between adjacent areas, while controlling for covariates.

Methods: Mammography screening participation rates between 2015 and 2016 were calculated by census blocks (CB), for women aged 50-74 years, residing in Lyon metropolitan area. Global spatial autocorrelation tests were applied to identify the geographic variation of participation. Spatial regression models were used to incorporate spatial structure to estimate associations between mammography participation rate and the combined effect (geographic accessibility and deprivation level) adjusting for modes of travel and social cohesion.

Results: The mammography participation rate was found to have a statistically significant and positive spatial correlation. The participation rate of one CB was significantly and positively associated with the participation rates of neighbouring CB. The participation was 53.2% in residential and rural areas and 46.6% in urban areas, p < 0.001. Using Spatial Lag models, whereas the population living in most deprived CBs have statistically significantly lower mammography participation rates than lower deprived ones, significant interaction demonstrates that the relation differs according to the degree of urbanization.

Conclusions: This study makes an important methodological contribution in measuring geographical access and understanding better the combined effect of deprivation and the degree of urbanization on mammography participation and other contextual factors that affect the decision of using mammography screening services -which is a critical component of healthcare planning and equity.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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