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机构化后识别有痴呆护理风险的照料者:养老院入住负担和养老院入住抑郁预后工具。

Identifying at-risk dementia caregivers following institutionalization: the nursing home admission-burden and nursing home admission-depression prognostic tools.

作者信息

Gaugler Joseph E, Mittelman Mary S, Hepburn Kenneth, Newcomer Robert

机构信息

University of Minnesota, Minneapolis, MN, USA

New York University Medical Center, New York, NY, USA.

出版信息

J Appl Gerontol. 2014 Aug;33(5):624-46. doi: 10.1177/0733464812454008. Epub 2012 Aug 7.

Abstract

The current study developed prognostic tools to identify dementia caregivers at-risk for clinically relevant burden or depressive symptoms following nursing home admission (NHA) of their family members. A retrospective, longitudinal design was used that included 1,610 dementia caregivers who provided data prior to and up to 6 months following nursing home admission. Response operant characteristic (ROC) curves were constructed to test and validate two prognostic tools: the NHA-Burden and NHA-Depression tools. An ROC curve yielded a sensitivity of 77% and a specificity of 62.5% at a cutoff score of 5.41 for the NHA-Burden Prognostic tool. A second ROC curve indicated a sensitivity of 75.4% and a specificity of 62.5% at a cutoff score of 7.45 for the NHA-Depression tool. Clinicians may wish to utilize cutpoints on the NHA-Burden and NHA-Depression tools to ensure that more persons who are at-risk for clinically significant burden or depression during NHA are identified.

摘要

本研究开发了预后工具,以识别家庭成员入住养老院(NHA)后有临床相关负担或抑郁症状风险的痴呆症护理者。采用回顾性纵向设计,纳入了1610名痴呆症护理者,他们在家庭成员入住养老院之前及之后6个月内提供了数据。构建反应操作特征(ROC)曲线以测试和验证两种预后工具:NHA-负担工具和NHA-抑郁工具。对于NHA-负担预后工具,ROC曲线在截断分数为5.41时,敏感性为77%,特异性为62.5%。第二条ROC曲线表明,对于NHA-抑郁工具,在截断分数为7.45时,敏感性为75.4%,特异性为62.5%。临床医生可能希望利用NHA-负担和NHA-抑郁工具上的切点,以确保识别出更多在NHA期间有临床显著负担或抑郁风险的人。

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