文章基本信息

标题：Quality of life at the end of life
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作者：Paula Diehr ; William E Lafferty ; Donald L Patrick 等
期刊名称：Health and Quality of Life Outcomes
印刷版ISSN：1477-7525
电子版ISSN：1477-7525
出版年度：2007
卷号：5
期号：1
页码：51
DOI：10.1186/1477-7525-5-51
语种：English
出版社：BioMed Central
摘要：Little is known about self-perceived quality of life (QOL) near the end of life, because such information is difficult to collect and to interpret. Here, we describe QOL in the weeks near death and determine correlates of QOL over time, with emphasis on accounting for death and missing data. Data on QOL were collected approximately every week in an ongoing randomized trial involving persons at the end of life. We used these data to describe QOL in the 52 weeks after enrollment in the trial (prospective analysis, N = 115), and also in the 10 weeks just prior to death (retrospective analysis, N = 83). The analysis consisted of graphs and regressions that accounted explicitly for death and imputed missing data. QOL was better than expected until the final 3 weeks of life, when a terminal drop was observed. Gender, race, education, cancer, and baseline health status were not significantly related to the number of “weeks of good-quality life” (WQL) during the study period. Persons younger than 60 had significantly higher WQL than older persons in the prospective analysis, but significantly lower WQL in the retrospective analysis. The retrospective results were somewhat sensitive to the imputation model. In this exploratory study, QOL was better than expected in persons at the end of life, but special interventions may be needed for persons approaching a premature death, and also for the last 3 weeks of life. Our descriptions of the trajectory of QOL at the end of life may help other investigators to plan and analyze future studies of QOL. Methodology for dealing with death and the high amount of missing data in longitudinal studies at the end of life needs further investigation.
关键词：Imputation Method ; Baseline Health Status ; Miss Data Imputation ; Prospective Sample ; Retrospective Sample