关键词: Case finding depression primary care sensitivity specificity validate

来  源:   DOI:10.4103/jfmpc.jfmpc_9_23   PDF(Pubmed)

Abstract:
UNASSIGNED: Case finding for low mood is essential in primary care, but it is time-consuming using current depression inventories. The Burns Depression Scale Today (BDST) is a short, simple inventory which assesses mood for today, and we aimed to validate it in this study.
UNASSIGNED: Consecutive patients with emotional distress seen in a single primary care clinic by one of the authors over 22 months were eligible for this retrospective audit (N = 160). Multiple visits (N = 421) from the same patient were included in the study. The index test was BDST, which assesses the patient\'s mood for today. The reference standard was the 9-item Patient Health Questionnaire (PHQ-9), which assesses mood over the past 2 weeks. PHQ-9 had a cut-off point of ≥10 and BDST had a cut-off point of ≥6 for a significant mood issue.
UNASSIGNED: The median age of patients was 35 years, and 63% of the cohort were women. The median BDST score was 8, indicative of moderately low mood, and the median PHQ-9 score was 15, indicative of moderately severe depression. For patients with a BDST score ≥6, the likelihood ratio of a positive test was 2.67. The sensitivity was 85% (95% confidence interval [CI]: 89%-96%) and the specificity was 68% (95% CI: 60%-76%). The area under the curve was 84% (95% CI: 80%-87%).
UNASSIGNED: This audit validates BDST against PHQ-9 and finds it an excellent case-finding tool compared to PHQ-9. This is the first validation study of BDST.
摘要:
情绪低落的病例发现在初级保健中至关重要,但是使用当前的萧条库存很耗时。今天的伯恩斯抑郁量表(BDST)很短,评估今天情绪的简单清单,我们旨在在这项研究中验证它。
其中一位作者在22个月以上的一次初级保健诊所中连续出现情绪困扰的患者有资格参加这次回顾性审核(N=160)。研究中包括来自同一患者的多次就诊(N=421)。指数测试是BDST,评估病人今天的情绪。参考标准是9项患者健康问卷(PHQ-9),评估过去两周的情绪。对于严重的情绪问题,PHQ-9的临界点≥10,BDST的临界点≥6。
患者的中位年龄为35岁,63%的队列是女性。中位BDST评分为8分,表明中度情绪低落,PHQ-9评分中位数为15分,提示中重度抑郁.对于BDST评分≥6的患者,阳性测试的似然比为2.67。敏感性为85%(95%置信区间[CI]:89%-96%),特异性为68%(95%CI:60%-76%)。曲线下面积为84%(95%CI:80%-87%)。
此审核针对PHQ-9验证了BDST,并发现与PHQ-9相比,它是出色的案例查找工具。这是BDST的首次验证研究。
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