Secondary Analysis of Existing Datasets for Dementia and Palliative Care Research: High-Value Applications and Key Considerations

对现有痴呆症和姑息治疗研究数据集的二次分析:高价值应用和关键考虑因素

阅读:1

Abstract

OBJECTIVE: To provide a guide to researchers selecting a dataset pertinent to the study of palliative care for people with dementia and to aid readers who seek to critically evaluate a secondary analysis study in this domain. BACKGROUND: The impact of dementia at end-of-life is large and growing. Secondary dataset analysis can play a critical role in advancing research on palliative care for people with dementia. METHODS: We conducted a broad search of a variety of resources to: 1. identity datasets that include information germane to dementia and palliative care research; 2. review relevant applications of secondary dataset analysis in the published literature; and 3. explore potential validity and reliability concerns. RESULTS: We synthesize findings regarding: 1. Methodological approaches for determining the presence of dementia; 2. Inclusion and measurement of key palliative care items as they relate to people with dementia; and 3. Sampling and study design issues, including the role and implications of proxy-respondents. We describe and compare a selection of high-value existing datasets relevant to palliative care and dementia research. DISCUSSION: While secondary analysis of existing datasets requires consideration of key limitations, it can be a powerful tool for efficiently enhancing knowledge of palliative care needs among people with dementia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。