School of Nursing, Faculty of Medicine and Health Sciences, Université De Sherbrooke, Sherbrooke, Québec, Canada.
Department of Family Medicine, Faculty of Medicine and Health Sciences, Université De Sherbrooke, Sherbrooke, Québec, Canada.
Dement Geriatr Cogn Disord. 2023;52(4):267-276. doi: 10.1159/000533357. Epub 2023 Aug 14.
Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD.
A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated.
The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46-100%) sensitivity, 83% (95% CI: 69-91%) specificity, and 36% (95% CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46-100%) sensitivity, 75% (95% CI: 61-86%) specificity, and 28% (95% CI: 11-54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001).
The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.
在患有重大神经认知障碍(MNCD)的长期护理(LTC)患者中,抑郁症通常难以发现,而观察者评定的筛查量表则可以方便评估。本研究旨在确定 MNCD 患者中使用的养老院简短抑郁量表(NH-SDI)的外部有效性和可靠性,并将其评估结果与最常用于 MNCD 中抑郁评估的 Cornell 痴呆抑郁量表(CSDD)进行比较。
一个专家焦点讨论小组评估了 NH-SDI 的内容效度。然后,对 93 名患有 MNCD 的 LTC 患者进行了便利抽样,由经过培训的护士使用 NH-SDI 和 CSDD 对其进行了观察者评定。对于 57 名患者,进行了抑郁的医学评估,并生成了筛查准确性评估。
根据参考标准,抑郁的患病率为 8.8%。NH-SDI 的内容效度被认为是可以接受的,只需对个别项目的措辞进行轻微修改和规范。NH-SDI(临界值≥3)的敏感性为 100%(95%置信区间[CI]:46-100%),特异性为 83%(95% CI:69-91%),阳性预测值(PPV)为 36%(95% CI:14-64%)。CSDD(临界值≥3)的敏感性为 100%(95% CI:46-100%),特异性为 75%(95% CI:61-86%),PPV 为 28%(95% CI:11-54%)。两种量表的受试者工作特征曲线下面积无显著差异。NH-SDI 和 CSDD 高度相关(rs=0.913;p<0.001)且可靠(ICC=0.77;p<0.001)。
NH-SDI 似乎在患有 MNCD 的 LTC 患者中有效且可靠,与 CSDD 相比,在忙碌或人手不足的环境中,NH-SDI 可以更快地排除抑郁症。