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首页> 外文期刊>International Journal for Quality in Health Care >PAClC Instrument: disentangling dimensions using published validation models
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PAClC Instrument: disentangling dimensions using published validation models

机译：PAClC仪器：使用已发布的验证模型来分解尺寸

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Objective. To better understand the structure of the Patient Assessment of Chronic Illness Care (PACIC) instrument. More specifically to test all published validation models, using one single data set and appropriate statistical tools. Design. Validation study using data from cross-sectional survey. Participants. A population-based sample of non-institutionalized adults with diabetes residing in Switzerland (canton of Vaud). Main outcome measure. French version of the 20-items PACIC instrument (5-point response scale). We conducted validation analyses using confirmatory factor analysis (CFA). The original five-dimension model and other published models were tested with three types of CFA: based on (i) a Pearson estimator of variance-covariance matrix, (ii) a polychoric correlation matrix and (iii) a likelihood estimation with a multinomial distribution for the manifest variables. AU models were assessed using loadings and goodness-of-fit measures. Results. The analytical sample included 406 patients. Mean age was 64.4 years and 59% were men. Median of item responses varied between I and 4 (range 1-5), and range of missing values was between 5.7 and 12.3%. Strong floor and ceiling effects were present. Even though loadings of the tested models were relatively high, the only model showing acceptable fit was the 11-item single-dimension model. PACIC was associated with the expected variables of the field. Conclusions. Our results showed that the model considering 11 items in a single dimension exhibited the best fit for our data. A single score, in complement to the consideration of single-item results, might be used instead of the five dimensions usually described.
机译：目的。为了更好地了解慢性病患者护理评估（PACIC）仪器的结构。更具体地说，使用一个数据集和适当的统计工具来测试所有已发布的验证模型。设计。使用横断面调查数据进行的验证研究。参加者以人口为基础的居住在瑞士（沃州）的非住院糖尿病患者的样本。主要结果指标。法语版本的20项PACIC仪器（5分制回应量表）。我们使用验证性因子分析（CFA）进行了验证分析。使用三种类型的CFA对原始的五维模型和其他已发布的模型进行了测试：基于（i）方差-协方差矩阵的Pearson估计，（ii）多色相关矩阵，以及（iii）具有多项分布的似然估计用于清单变量。所有模型均使用载荷和拟合优度评估。结果。分析样品包括406例患者。平均年龄为64.4岁，男性为59％。项目响应的中位数在I和4之间（范围1-5）变化，缺失值的范围在5.7和12.3％之间。存在强烈的地板和天花板效果。即使测试模型的负载相对较高，唯一显示出可接受的拟合度的模型是11件单维模型。 PACIC与该领域的预期变量相关。结论我们的结果表明，在一个维度上考虑11个项目的模型最适合我们的数据。可以使用单一分数来代替考虑单个项目的结果，而不是通常描述的五个维度。

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