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Abstracts from the 5th International Society for Evidence-Based Healthcare Congress, Kish Island, Iran
Poster
103: PSYCHOMETRIC PROPERTIES OF THE PERSIAN VERSION OF THE PATIENT SATISFACTION QUESTIONNAIRE
  1. Mahdi Nouri1,
  2. Saeideh Ghaffarifar2,
  3. Homayoun Sadeghi Bazargani3,
  4. Reza Ghaffari2
  1. 1MSc student of Medical Education, Medical Education Department, Education Development Center, Tabriz University of Medical Sciences, Iran
  2. 2Assistant Professor, Medical Education Research Center, Tabriz University of Medical Sciences, Iran
  3. 3Assistant Professor, Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of medical sciences, Tabriz, Iran

Abstract

Background and aims: to explore the psychometric properties of the Persian version of the Patient Satisfaction Questionnaire (PSQ).

Methods: In this cross-sectional study in 2015, the psychometric properties of the Persian version of the PSQ were determined by participation of 10 patients, 14 experts and 488 residents. Impact score, content validity index, content validity ratio of the items were calculated. Construct validity and reliability of the scale were examined conducting exploratory factor analysis and Cronbach's Alpha and Inter class correlation coefficient (ICC), respectively, using STATA, version 13. This research project was approved by the Ethics Committee of Tabriz University of Medical Sciences.

Results: Based on the findings, questionnaire had: CVI=0.94, CVR=0.84, Impact Score=4.61, Cronbach's Alpha=0.93 and ICC=0.513 (Sig.0.00). A single factor was identified according to the eigenvalue distribution of PSQ. That factor could predict about 93% of the variance.

Conclusion: Persian version of PSQ had satisfactory reliability and validity, as well as adequate feasibility based on the field results. Medical teachers and managers at every Persian-speaking country can reliably evaluate residents' communication skills, applying the Persian version of PSQ.

  • Patient satisfaction
  • Questionnaire
  • Psychometrics properties.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

https://doi.org/10.1136/bmjopen-2016-015415.103

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