Kueper J K, Alsabbagh M W, Peterson S, Wong S T
Department of Epidemiology and Biostatistics, The University of Western Ontario, Kresge Building, 1151 Richmond Street, London, Ontario, Canada, N6A 5C1.
School of Pharmacy, University of Waterloo, 10A Victoria St S, Kitchener, Ontario, Canada, N2G 1C5.
Int J Popul Data Sci. 2019 Dec 5;4(1):1116. doi: 10.23889/ijpds.v4i1.1116.
Administrative databases can be used to measure healthcare performance. This can lead to identification of high-performing practice characteristics and inform innovations. However, a key challenge is that administrative data cannot be easily combined across provinces. Comparable measures must be defined across provinces but operationalized within each province. The purpose of this work is to provide an example of defining a population health concept, osteoporosis screening, and creating measures to examine it across British Columbia, Ontario, and Nova Scotia, Canada. TRANSFORMATION is a study that seeks to improve the science and reporting of Primary Health Care performance. We used administrative data from the above three provinces to examine osteoporosis screening in those aged 65 years and older. Challenges of databases with different data elements and levels of methods development (e.g. macros) can be overcome for purposes of cross-provincial comparisons. Flexibility of analytic methods and frequent communication is needed.
行政数据库可用于衡量医疗保健绩效。这有助于识别高效的实践特征并为创新提供信息。然而,一个关键挑战是行政数据难以在各省之间轻松整合。必须在各省之间定义可比指标,但要在每个省内实施。这项工作的目的是提供一个定义人群健康概念(骨质疏松症筛查)的示例,并创建在加拿大不列颠哥伦比亚省、安大略省和新斯科舍省进行检查的指标。TRANSFORMATION是一项旨在改进初级卫生保健绩效的科学研究和报告的研究。我们使用上述三个省份的行政数据来检查65岁及以上人群的骨质疏松症筛查情况。为了进行跨省比较,可以克服具有不同数据元素和方法开发水平(如宏)的数据库所带来的挑战。需要分析方法的灵活性和频繁沟通。