The Patient Satisfaction with Pharmacist Services Questionnaire (PSPSQ 2.0): translation and validation study of the Urdu version

The study aimed to examine the psychometric properties of the Urdu version of Patient Satisfaction with Pharmacist Services Questionnaire (PSPSQ 2.0). We applied the forward-backward procedure to translate the PSPSQ 2.0 in the Urdu language. The test-retest reliability was assessed through Cronbach’s alpha reliability analysis. The validity of the translated PSPSQ 2.0 was constructed by using Confirmatory Factor Analysis (CFA) through principal axis factoring extraction and Oblique rotation with Kaiser Normalization onto 2 predetermined factors. The Quality of Care (QOC) construct exhibited Cronbach’s alpha values of 0.900 (Test) and α = 0.871 (Retest) at two-time points. The Interpersonal Relationship (IPR) Construct had alpha values of 0.845 (Test) and α = 0.819 (Retest). The Kaiser-Meyer-Olkin measure of sampling adequacy for the factor analysis was 0.899. Barlett’s Test of Sphericity was significant (Chi-square = 1192.72; p < 0.05) revealing relationships of the data and suitability of CFA. Two factors explaining the total variance of 40% were extracted whereby loading values were acceptable (> 0.50) for all items of the translated version of PSPSQ 2.0. Results of this study conclude that the translated version of PSPSQ 2.0 is a valid instrument in regions where Urdu is a prime language of communication

本研究旨在检验乌尔都语版《患者对药师服务满意度问卷（Patient Satisfaction with Pharmacist Services Questionnaire，PSPSQ 2.0）》的心理测量学特性。我们采用正向-反向翻译法将PSPSQ 2.0翻译为乌尔都语版本。通过克朗巴哈α系数（Cronbach’s alpha）信度分析评估重测信度。该译版PSPSQ 2.0的效度通过验证性因子分析（Confirmatory Factor Analysis，CFA）构建，具体采用主轴因子提取法结合带有凯撒标准化的斜交旋转，将问卷划分为2个预设因子。照护质量（Quality of Care，QOC）维度在两次测量中的克朗巴哈α系数分别为0.900（测试组）与0.871（重测组）。人际关系（Interpersonal Relationship，IPR）维度的α系数分别为0.845（测试组）与0.819（重测组）。因子分析的凯撒-迈耶-奥尔金取样适当性量数为0.899。巴特利特球形检验结果显著（卡方值=1192.72；p<0.05），表明数据存在相关关系且适合开展验证性因子分析。最终共提取出2个因子，累计解释总方差的40%，且译版PSPSQ 2.0所有条目因子载荷值均符合要求（>0.50）。本研究结果表明，乌尔都语版PSPSQ 2.0在以乌尔都语为主要交际语言的地区是一款有效的测评工具。