应用德尔菲法构建精神疾病监测系统评价指标体系

发布时间：2018-03-20 13:57

  本文选题：精神疾病监测　切入点：评价　出处：《现代预防医学》2017年07期 　论文类型：期刊论文

【摘要】：目的构建精神疾病监测系统评价指标体系。方法利用Delphi专家评估法对拟定指标进行2轮评价。筛选指标,计算权重系数。结果第1轮评价,邀请专家16人,反馈结果 14人,积极系数0.88,协调系数为0.25。第2轮评价,邀请专家14人,反馈结果 14人,积极系数1.00,协调系数为0.21。筛选出77个指标,一级指标4个、二级17个、三级56个。按照权重对指标排序,一级指标依次为精神卫生重要性(0.267 752)、监测系统性能(0.246 915)、监测系统功能(0.245 534)和监测系统资源配置(0.239 799),二级指标前5位为技术保障(0.019 132)、疾病发生频率(0.018 177)、疾病严重程度(0.016 906)、数据质量(0.016 030)和政策保障(0.015 789),三级指标前5位为患病率(0.000 394)、督导和质控(0.000 361)、数据真实率(0.000 332)、危险行为发生率(0.000 330)和人员培训率(0.000 325)。结论本研究构建的指标体系,涵盖了疾病公共卫生重要性,监测系统性能、功能和资源配置等内容。指标具有系统性,有参考价值。
[Abstract]:Objective to construct the evaluation index system of mental disease surveillance system. Methods using Delphi expert evaluation method, the indexes were evaluated for 2 rounds. The index was screened and the weight coefficient was calculated. Results in the first round of evaluation, 16 experts were invited, and 14 people received feedback results. The positive coefficient is 0.88, and the coordination coefficient is 0.25. In the second round of evaluation, 14 experts were invited, the feedback result was 14, the positive coefficient was 1.00, the coordination coefficient was 0.21. Level 56. Ranking the indicators according to their weights, The primary indicators are mental health importance 0.267 752, monitoring system performance 0.246 915, monitoring system function 0.245 534) and monitoring system resource allocation 0.239 799. The top 5 of the second class index are technical guarantee 0.019 132, disease frequency 0.018 177, disease severity. 0. 016 906 (data quality: 0. 016 030) and policy guarantee (0. 015 789). The first five indicators of the third order are prevalence rate 0. 000 394N, supervision and quality control 0. 000 361, data truth rate 0. 000 332, risk behavior incidence 0. 000 330) and personnel training rate 0. 000 32525. It covers the importance of disease public health, monitoring system performance, function and resource allocation.
【作者单位】： 深圳市精神卫生中心深圳市康宁医院深圳市心理卫生实验室;
【基金】：深圳市科技研发基金(JCYJ20140415092628043)
【分类号】：R749
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本文编号：1639375