Health Regional Agency of Ile de France, Paris, France.
Emergency Department, Bichat hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
BMC Public Health. 2021 Sep 16;21(1):1689. doi: 10.1186/s12889-021-11682-z.
The individual factors associated to Frequent Users (FUs) in Emergency Departments are well known. However, the characteristics of their geographical distribution and how territorial specificities are associated and intertwined with ED use are limited. Investigating healthcare use and territorial factors would help targeting local health policies. We aim at describing the geographical distribution of ED's FUs within the Paris region.
We performed a retrospective analysis of all ED visits in the Paris region in 2015. Data were collected from the universal health insurance's claims database. Frequent Users (FUs) were defined as having visited ≥3 times any ED of the region over the period. We assessed the FUs rate in each geographical unit (GU) and assessed correlations between FUs rate and socio-demographics and economic characteristics of GUs. We also performed a multidimensional analysis and a principal component analysis to identify a typology of territories to describe and target the FUs phenomenon.
FUs accounted for 278,687 (11.7%) of the 2,382,802 patients who visited the ED, living in 232 GUs. In the region, median FUs rate in each GU was 11.0% [interquartile range: 9.5-12.5]. High FUs rate was correlated to the territorial markers of social deprivation. Three different categories of GU were identified with different profiles of healthcare providers densities.
FUs rate varies between territories and is correlated to territorial markers of social deprivation. Targeted public policies should focus on disadvantaged territories.
人们已经充分了解与急诊科(ED)频繁就诊者(FUs)相关的个体因素。然而,他们的地域分布特征以及地域特异性如何相互关联和交织在一起的情况仍有限。调查医疗保健的使用和地域因素将有助于确定当地卫生政策的重点。我们旨在描述巴黎地区 ED 频繁就诊者的地理分布。
我们对 2015 年巴黎地区所有 ED 就诊进行了回顾性分析。数据来自全民健康保险的索赔数据库。频繁就诊者(FUs)被定义为在该期间内≥3 次访问该地区任何 ED 的患者。我们评估了每个地理单位(GU)的 FUs 率,并评估了 FUs 率与 GU 的社会人口统计学和经济特征之间的相关性。我们还进行了多维分析和主成分分析,以确定一种地域分类,用于描述和针对 FUs 现象。
FUs 占 2,382,802 名就诊于 ED 的患者中的 278,687 例(11.7%),他们居住在 232 个 GU 中。在该地区,每个 GU 的中位数 FUs 率为 11.0%[四分位距:9.5-12.5]。高 FUs 率与社会剥夺的地域标志物相关。确定了三种不同类别的 GU,其医疗保健提供者密度的特征各不相同。
FUs 率在各地区之间存在差异,与社会剥夺的地域标志物相关。有针对性的公共政策应侧重于弱势地区。