Essink-Bot M L, Krabbe P F, Bonsel G J, Aaronson N K
Department of Public Health, Erasmus University Rotterdam, The Netherlands.
Med Care. 1997 May;35(5):522-37. doi: 10.1097/00005650-199705000-00008.
An empirical, head-to-head comparison of the performance characteristics of four generic health status measures.
The Nottingham Health Profile, the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36), the COOP/WONCA charts, and the EuroQol instrument were simultaneously employed in a controlled survey measuring the impact of migraine on health status. The feasibility (number of missing cases per item), internal consistency (Cronbach's alpha), construct validity (correlation patterns and common factor analysis), and discriminative ability (Receiver Operating Characteristics analyses) of the four measures were investigated.
The Nottingham Health Profile produced the lowest missing value rate. The internal consistency of the Nottingham Health Profile scales was lower than the scales of the SF-36. Combined factor analyses with data of the four instruments together resulted in two-factor solutions with a physical and a mental factor, explaining approximately 50% of variance. The SF-36 exhibited the best ability to discriminate between groups. Test-retest reliability and sensitivity to change over time could not be tested because of the cross-sectional character of the study.
None of the instruments performed uniformly as "best" or "worst." Purely on the basis of the results of the psychometric analyses, the SF-36 appeared to be the most suitable measure of health status in this relatively healthy population. In general, the choice of the most suitable instrument for generic health status assessment in a particular study should be guided by the special features of each candidate instrument under consideration.
对四种通用健康状况测量工具的性能特征进行实证的、直接的比较。
在一项测量偏头痛对健康状况影响的对照调查中,同时使用了诺丁汉健康量表、医学结果研究36项简短健康调查(SF - 36)、COOP/WONCA图表和欧洲五维度健康量表。研究了这四种测量工具的可行性(每个项目的缺失病例数)、内部一致性(克朗巴哈系数)、结构效度(相关模式和共同因素分析)以及区分能力(受试者工作特征分析)。
诺丁汉健康量表的缺失值率最低。诺丁汉健康量表各维度的内部一致性低于SF - 36量表。对四种工具的数据进行联合因素分析,得到了一个包含身体和心理因素的双因素解决方案,解释了约50%的方差。SF - 36在区分不同组方面表现出最佳能力。由于研究的横断面性质,无法测试重测信度和随时间变化的敏感性。
没有一种工具在所有方面都表现为“最佳”或“最差”。仅基于心理测量分析的结果,SF - 36似乎是在这个相对健康的人群中最适合测量健康状况的工具。一般来说,在特定研究中选择最适合通用健康状况评估的工具,应以所考虑的每种候选工具的特殊特征为指导。