HealthGap的健康地图:在澳大利亚维多利亚州界定一个地理集水区以检查心血管风险。

IF 3.8 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Karen E. Lamb , Ximena Camacho , Ping-wen Lee , Digsu N. Koye , Aneta Kotevski , Javier Haurat , Lukar E. Thornton , Maureen Turner , Julie A. Simpson , Luke Burchill
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引用次数: 0

摘要

HealthGap 研究旨在利用关联的行政数据了解维多利亚州土著澳大利亚人的心血管风险。一个关键的挑战是数据源的空间覆盖范围不同:州一级的风险因素数据和三家医院的心血管结果数据不同。根据医院的邮政编码定义集水区,以估算风险建模的分母人群:一阶和二阶邻居,以及结果的空间分布("空间事件分布")。通过研究医院中来自集水区邮政编码的患者比例来评估集水区覆盖率。空间事件分布的效果最好,总体捕获了 82% 的事件(一阶:40%;二阶:64%)和 65% 的本地事件(27% 和 45%)。没有一种方法能排除近端非研究医院。当有结果数据的地理信息时,空间事件分布有助于界定分母人群,但可能无法避免潜在的分类错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Victoria, Australia

The HealthGap study aimed to understand cardiovascular risk among Indigenous Australians in Victoria using linked administrative data. A key challenge was differing spatial coverages of sources: state-level data for risk factors but cardiovascular outcomes for three hospitals. Catchments were defined based on hospital postcodes to estimate denominator populations for risk modelling: first- and second-order neighbours, and spatial distribution of outcomes (‘spatial event distribution’). Catchment coverage was assessed through proportions of patients presenting to study hospitals from catchment postcodes. The spatial event distribution performed best, capturing 82% events overall (first-order:40%; second-order:64%) and 65% Indigenous (27% and 45%). No approach excluded proximal non-study hospitals. Spatial event distributions could help define denominator populations when geographic information on outcome data is available but may not avoid potential misclassification.

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来源期刊
Health & Place
Health & Place PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.70
自引率
6.20%
发文量
176
审稿时长
29 days
期刊介绍: he journal is an interdisciplinary journal dedicated to the study of all aspects of health and health care in which place or location matters.
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