Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA.
Int J Methods Psychiatr Res. 2010 Jun;19 Suppl 1(Suppl 1):4-22. doi: 10.1002/mpr.310.
Data are reported on the background and performance of the K6 screening scale for serious mental illness (SMI) in the World Health Organization (WHO) World Mental Health (WMH) surveys. The K6 is a six-item scale developed to provide a brief valid screen for Diagnostic and Statistical Manual of Mental Disorders 4th edition (DSM-IV) SMI based on the criteria in the US ADAMHA Reorganization Act. Although methodological studies have documented good K6 validity in a number of countries, optimal scoring rules have never been proposed. Such rules are presented here based on analysis of K6 data in nationally or regionally representative WMH surveys in 14 countries (combined N = 41,770 respondents). Twelve-month prevalence of DSM-IV SMI was assessed with the fully-structured WHO Composite International Diagnostic Interview. Nested logistic regression analysis was used to generate estimates of the predicted probability of SMI for each respondent from K6 scores, taking into consideration the possibility of variable concordance as a function of respondent age, gender, education, and country. Concordance, assessed by calculating the area under the receiver operating characteristic curve, was generally substantial (median 0.83; range 0.76-0.89; inter-quartile range 0.81-0.85). Based on this result, optimal scaling rules are presented for use by investigators working with the K6 scale in the countries studied.
本文报告了世界卫生组织(WHO)世界心理健康调查(WMH)中 K6 严重精神疾病(SMI)筛查量表的背景和性能数据。K6 是一个六项目量表,旨在根据美国 ADAMHA 改组法案中的标准,为基于精神障碍诊断与统计手册第 4 版(DSM-IV)的 SMI 提供一个简短有效的筛查。尽管方法学研究已经证明了 K6 在许多国家的良好有效性,但从未提出过最佳评分规则。这里根据对来自 14 个国家(共有 41770 名受访者)的全国或区域代表性 WMH 调查中的 K6 数据的分析,提出了这些规则。采用完全结构化的 WHO 复合国际诊断访谈,评估 DSM-IV SMI 的 12 个月患病率。使用嵌套逻辑回归分析,根据 K6 评分,从每个受访者的 K6 评分中生成 SMI 的预测概率估计,同时考虑到由于受访者年龄、性别、教育程度和国家的不同而导致的一致性的可能性。通过计算接收者操作特征曲线下的面积来评估一致性,通常是相当大的(中位数为 0.83;范围为 0.76-0.89;四分位距为 0.81-0.85)。基于这一结果,为在研究中使用 K6 量表的研究人员提出了最佳的评分规则。