Developing the World Health Organization disability assessment schedule 2.0

Developing the World Health Organization disability assessment schedule 2.0
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DOI:
10.2471/blt.09.067231
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发表时间:
2010-11-01
期刊:
Bulletin of the World Health Organization: International Journal of Public Health
影响因子:
--
通讯作者:
Pull, Charles
Pull, Charles
中科院分区:
其他
文献类型:
--
作者:
Üstün, T Bedirhan;Chatterji, Somnath;Pull, Charles

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目的描述世界卫生组织残疾评估表2.0(WHODAS 2.0)的发展情况,以便根据国际功能、残疾和健康分类来衡量功能和残疾。WHODAS 2.0是确保不同人群间科学可比性的标准指标。超过65 000名来自一般人群和特定患者人群的受访者接受了使用WHODAS 2.0的训练有素的访谈者的访问。结果发现,WHODAS 2.0具有较高的内部一致性(Cronbach‘s Alpha,Alpha:0.86),因素结构稳定;重测信度高(组内相关系数:0.98);与其他公认的残疾测量工具相比,患者分类具有良好的同时效度;符合Rasch跨人群的尺度特性,以及良好的反应能力(即对变化的敏感性)。针对不同健康状况的不同健康干预措施的效果大小从0.44到1.38不等。结论WHODAS 2.0满足了一种健壮的工具的需求,该工具易于管理,可以测量健康状况的影响,监测干预措施的有效性,并估计不同人群的精神和身体疾病的负担。
Objective To describe the development of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) for measuring functioning and disability in accordance with the International Classification of Functioning, Disability and Health. WHODAS 2.0 is a standard metric for ensuring scientific comparability across different populations.Methods A series of studies was carried out globally. Over 65 000 respondents drawn from the general population and from specific patient populations were interviewed by trained interviewers who applied the WHODAS 2.0 (with 36 items in its full version and 12 items in a shortened version).Findings The WHODAS 2.0 was found to have high internal consistency (Cronbach's alpha, alpha: 0.86), a stable factor structure; high test-retest reliability (intraclass correlation coefficient: 0.98); good concurrent validity in patient classification when compared with other recognized disability measurement instruments; conformity to Rasch scaling properties across populations, and good responsiveness (i.e. sensitivity to change). Effect sizes ranged from 0.44 to 1.38 for different health interventions targeting various health conditions.Conclusion The WHODAS 2.0 meets the need for a robust instrument that can be easily administered to measure the impact of health conditions, monitor the effectiveness of interventions and estimate the burden of both mental and physical disorders across different populations.