Evaluating the Cornell Scale for Depression in Dementia as a proxy measure in nursing home residents with and without dementia

评估康奈尔痴呆症抑郁量表作为养老院痴呆症患者和非痴呆症患者抑郁程度的替代指标

阅读:1

Abstract

OBJECTIVES: We evaluated the use of the Cornell Scale for Depression in Dementia (CSDD) as a proxy measure. Study questions were: How do residents' self-reports on the CSDD compare with the nurse proxy CSDD ratings of the resident? How do characteristics of depression as rated by the resident CSDD and the nurse CSDD compare? To what extent are demographic and clinical variables associated with resident CSDD, nurse CSDD, and the discrepancy between resident and nurse CSDD scores? METHODS: Residents and nurse proxy pairs (n=395 pairs) from 28 nursing homes (NHs) participated. We calculated discrepancy scores for total and subscale CSDD scores, examined correlations between resident and nurse CSDD scores, and described rates of clinical depression using each of the scores. We conducted multivariate analyses to examine factors associated with resident and nurse CSDD and discrepancy scores. RESULTS: On average, participants had mild cognitive impairment, were White, and female. Associations between resident and nurse CSDD were low (r=0.16). The mean discrepancy score was -2.03 (SD=5.28, p<0.001), indicating that nurses evaluated residents as less depressed than residents evaluated themselves. Discrepancy scores were not associated with residents' cognitive status, but were associated with a measure of self-report reliability. Regression analyses indicated that depression diagnosis accounted for a small but significant association with resident CSDD, but was not significantly associated with nurse CSDD. CONCLUSION: These findings underscore the importance of obtaining resident input when assessing depression in NH residents with dementia, and educating NH nurses in the most effective ways to assess depression.

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。