Gaugler Joseph E, Mittelman Mary S, Hepburn Kenneth, Newcomer Robert
University of Minnesota, Minneapolis, MN, USA
New York University Medical Center, New York, NY, USA.
J Appl Gerontol. 2014 Aug;33(5):624-46. doi: 10.1177/0733464812454008. Epub 2012 Aug 7.
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.
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。
