Linkage of health and aged care service events: comparing linkage and event selection methods
Linkage of health and aged care service events: comparing linkage and event selection methods
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DOI：
10.1186/1472-6963-8-149
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发表时间：
2008-07-17
影响因子：
2.8
通讯作者：
Rosman, Diana
中科院分区：
文献类型：
--
作者：
Karmel, Rosemary;Rosman, Diana
背景资料：数据链接是一种长期用于连接多个不同数据源的信息的技术，最常见的是用于医学和人口健康研究。通常，目的是在延长的时间段内或跨不同的服务设置连接个人的数据，因此优选使用详细的个人信息的基于人的链接。另一方面，旨在将相关事件联系起来的联系需要关于事件的时间和地点以及参与该事件的人的信息，以便建立高质量的联系。本文描述了事件关联的详细过程，并直接比较了用于识别澳大利亚两个护理部门之间过渡事件的基于事件的关联方法与便于识别个人事件数据的基于人的纵向关联方法。在使用基于事件的链接识别的过渡事件和现有的人之间进行直接比较-为西澳大利亚州从医院转入老年护理的人建立了基础联系。基于事件的链接的几个方面进行了检查：细化的策略，以减少误报，误报和漏报的原因，链接的事件数据集的质量，和实用程序的链接的事件数据集的过渡分析。超过97%的基于事件的链接是使用基于人的链接选择的，而超过90%的基于人的链接是通过事件-的方法，其余部分主要由于报告的事件日期或居住地区的差异而错过。因此，两个链接的数据集足够相似，可以给出非常相似的分析结果，但基于事件的方法将从医院到RAC的实际移动量低估了约10%。这个项目允许一个“首选事件”事件-在澳大利亚各地选择和部署基于联系的战略，使用数据库研究从医院到住宅老年护理设施的移动，其中只有有限的个人信息是可用的，但是可以容易地访问事件日期和细节。这种方法在其他过渡情况下的效用取决于每个设置中的运动量和记录信息的准确性。
Background: Data linkage is a technique that has long been used to connect information across several disparate data sources - most commonly for medical and population health research. Often the purpose is to connect data for individuals over extended time periods or across different service settings, and so person- based linkage using detailed personal information is preferred. Linkage which aims to link connected events, on the other hand, requires information about the time and place of the event as well as the person or persons involved in that event in order to make high quality linkages. This paper describes the detailed process of event linkage and compares directly an event- based linkage method for identifying transition events between two care sectors in Australia with a well-established high quality longitudinal person- based linkage which facilitates identification of event data for individuals.Methods: Direct comparisons are made between transition events identified using an event- based linkage and an existing person- based linkage for people moving from hospital into aged care in Western Australia. Several aspects of event- based linkage are examined: refinement of the strategy to reduce false positives, causes of false positives and false negatives, quality of the linked event dataset, and utility of the linked event dataset for transition analysis.Results: Over 97% of the event- based links were among those selected using the person- based linkage and over 90% of the latter were identified by the event- based method, with the remainder missed mostly due to differences in reported event date or residential region. Consequently the two linked datasets were sufficiently similar to give very similar results for analyses, but the actual volume of movement from hospital to RAC was underestimated by about 10% by the event- based method.Conclusion: This project has allowed a ' preferred event' event- based linkage strategy to be selected and deployed across Australia to study movements from hospital to residential aged care facilities using databases in which only limited personal information is available, but event dates and details can be readily accessed. The utility of this approach in other transition situations depends on the volume of movement and the accuracy of recording information in each setting.