ISI-3: evaluation of a brief screening tool for insomnia.

ISI-3: evaluation of a brief screening tool for insomnia.
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DOI:
10.1016/j.sleep.2020.08.027
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发表时间:
2021-06
期刊:
影响因子:
4.8
通讯作者:
Vitiello MV
Vitiello MV
中科院分区:
医学2区
文献类型:
--
作者:
Thakral M;Von Korff M;McCurry SM;Morin CM;Vitiello MV

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我们评估了失眠严重程度指数-3(ISI-3)作为一种简短的筛选工具的性能,以确定来自7项ISI的老年初级保健人群中具有临床意义的失眠。我们使用了两项调查的结果,包括7项ISI:样本1(n= 3,197)和样本2(n=247),年龄≥ 60岁,从电子健康记录中诊断为骨关节炎的个体。这7个项目是:入睡困难、难以保持睡眠、醒得太早、睡眠满意度、睡眠干扰白天功能、他人对睡眠问题的抱怨以及对睡眠的担忧。ISI-3包括与样本1的7项ISI具有最高项目-总相关性的项目。7项ISI评分≥15被定义为具有临床意义的失眠,并作为ISI-3的主要标准。我们推导出操作特性,以确定诊断准确性和临界点,以最大限度地提高两种样品的灵敏度和特异性。项目与总项目相关性最高的项目是:睡眠不满意、睡眠干扰日常功能和担心睡眠问题(r=0.78-0.81),而入睡困难、难以保持睡眠、过早醒来和被他人告知睡眠问题的相关性较低(r=0.60-0.74)。ISI-3在识别失眠方面达到了高判别效度(AUC= 0.97 - 0.98)。ISI-3评分≥7时,敏感性(.94-.97)和特异性(.88-.91)最大,kappa=.68-.71,一致率为89.1-91.5%。ISI-3可以有效地筛查失眠症,以触发更全面的诊断评估,包括用于研究或临床目的的7项ISI。需要在其他社区和临床人群中进行进一步的验证研究。
We evaluated the performance of the Insomnia Severity Index-3 (ISI-3) as a short screening tool to identify clinically significant insomnia derived from the 7-item ISI in an older primary care population. We used results from two surveys including the 7-item ISI: Sample 1 (n=3,197) and Sample 2 (n=247) individuals aged ≥60years with a diagnosis of osteoarthritis from electronic health records. The 7 items were: difficulty falling asleep, difficulty staying asleep, waking too early, sleep satisfaction, sleep interference with daytime functioning, noticeability of sleep problems by others, and worry about sleep. The ISI-3 included items with highest item-total correlations to the 7-item ISI from Sample 1. A 7-item ISI score ≥15 was defined as clinically significant insomnia and served as the primary criterion for the ISI-3. We derived operating characteristics to determine the diagnostic accuracy and cut-points to maximize sensitivity and specificity for both samples. The items with the highest item-total correlations were: sleep dissatisfaction, sleep interference with daily functioning, and worry about sleep problems (r=0.78–0.81); while difficulty falling asleep, difficulty staying asleep, waking too early and noticeability of sleep problems by others showed lower correlations (r=0.60–0.74). The ISI-3 achieved high discriminant validity in identifying insomnia (AUC=.97–.98). An ISI-3 score of ≥7 maximized sensitivity (.94–.97) and specificity (.88–.91) with kappa=.68–.71, 89.1–91.5% agreement. The ISI-3 can effectively screen for insomnia to trigger a more thorough diagnostic evaluation including the 7-item ISI for research or clinical purposes. Future validation studies are needed in other community and clinical populations.
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