COMPASS 31: A Refined and Abbreviated Composite Autonomic Symptom Score

指南针 医学 克朗巴赫阿尔法 加权 探索性因素分析 物理疗法 心理测量学 临床心理学 放射科 地图学 地理
作者
David M. Sletten,Guillermo A. Suárez,Phillip A. Low,Jay Mandrekar,Wolfgang Singer
出处
期刊:Mayo Clinic Proceedings [Elsevier BV]
卷期号:87 (12): 1196-1201 被引量:538
标识
DOI:10.1016/j.mayocp.2012.10.013
摘要

Objective To develop a concise and statistically robust instrument to assess autonomic symptoms that provides clinically relevant scores of autonomic symptom severity based on the well-established 169-item Autonomic Symptom Profile (ASP) and its validated 84-question scoring instrument, the Composite Autonomic Symptom Score (COMPASS). Patients and Methods We assessed the internal consistency of COMPASS using Cronbach α coefficients based on the ASP of 405 healthy control subjects recruited and seen in the Mayo Clinic Autonomic Disorders Center between March 1, 1995, and March 31, 2010. Applying a simplified scoring algorithm, we then used exploratory factor analysis with orthogonal rotation and eigenvalue calculations to extract internally consistent domains and to reduce dimensionality. This analysis was followed by expert revisions to eliminate redundant content and to retain clinically important questions and final assessment of the new instrument. Results The new simplified scoring algorithm alone resulted in higher Cronbach α values in all domains. Factor analysis revealed 7 domains with a total of 54 questions retained. Expert revisions resulted in further reduction of questions and domains with a remaining total of 31 questions in 6 domains (COMPASS 31). Measures of internal consistency were much improved compared to those for COMPASS. Following appropriate weighting, this instrument provides an autonomic symptom score from 0 to 100. Conclusion COMPASS 31 is a refined, internally consistent, and markedly abbreviated quantitative measure of autonomic symptoms. It is based on the original ASP and COMPASS, applies a much simplified scoring algorithm, and is suitable for widespread use in autonomic research and practice.
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