Gugiu P Cristian, Coryn Chris, Clark Ruth, Kuehn April
Interdisciplinary Ph.D. in Evaluation Program, Western Michigan University, Kalamazoo, Michigan, USA.
Chronic Illn. 2009 Dec;5(4):268-76. doi: 10.1177/1742395309348072. Epub 2009 Nov 19.
The Patient Assessment of Chronic Illness Care (PACIC) was developed for measuring the extent to which patients receive care congruent with the chronic care model (CCM). The purpose of this study was to develop a short version of the PACIC with better psychometric properties than the original instrument.
Two samples of 529 and 361 type 2 diabetic patients completed a modified PACIC. A short-version PACIC instrument was developed and validated using parallel analysis to determine the number of factors, confirmatory factor analysis (CFA) within an exploratory factor analysis framework (E/CFA) was conducted to explore the measurement structure of the full instrument, and a CFA was performed to confirm the hypothesized structure.
The results demonstrated that the PACIC is unidimensional and that it can be reduced to 11 items with no loss in psychometric properties. No demographic variables or clinical assays were found to be related to the PACIC.
A short-version PACIC is now available and ready for use in research with diabetic patients. Its use is encouraged in future research, particularly in the exploration of its validity against actual CCM services delivered and long-term clinical outcomes.
慢性病照护患者评估量表（PACIC）旨在衡量患者接受符合慢性病照护模式（CCM）的照护程度。本研究的目的是开发一个比原始量表具有更好心理测量特性的PACIC简版。
两个分别包含529名和361名2型糖尿病患者的样本完成了一份修改后的PACIC。通过平行分析确定因子数量，开发并验证了PACIC简版量表，在探索性因子分析框架内进行验证性因子分析（E/CFA）以探究完整量表的测量结构，并进行验证性因子分析以确认假设结构。
结果表明，PACIC是单维的，可缩减为11个条目，且心理测量特性无损失。未发现人口统计学变量或临床检测指标与PACIC相关。
现在已有PACIC简版，可用于糖尿病患者的研究。鼓励在未来研究中使用该量表，特别是在探讨其与实际提供的CCM服务及长期临床结局的有效性方面。
