Development and Psychometric Testing of Patient Education Information Materials Evaluation Tool (Persi-PEIMET): An Exploratory Factor Analysis

Khadijeh  Ahmadzadeh; Firoozeh  Zare-Farashbandi; Masoud  Bahrami; Payman  Adibi; Mohammad Moqaddasi  Amiri; Alireza  Rahimi

doi:10.18502/jimc.v9i1.20496

Khadijeh Ahmadzadeh Sirjan School of Medical Sciences, Sirjan, Iran
Firoozeh Zare-Farashbandi Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Masoud Bahrami Department of Adult Health Nursing, Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
Payman Adibi Gastroenterology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Mohammad Moqaddasi Amiri Department of Public Health, School of Medical Sciences, Sirjan School of Medical Sciences, Sirjan, Iran
Alireza Rahimi Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

DOI: https://doi.org/10.18502/jimc.v9i1.20496

Keywords: Comprehension, Education, Factor Analysis, Statistical, Faculty, Information Science, Iran, Psychometrics, Reproducibility of results, Nursing, Universities

Abstract

Background: To have an efective patient education material, health professionals need a comprehensive tool to evaluate these materials. The Evaluation of the Patient Education Information Materials scale (PERSI-PEIMET) evaluates patient education materials and enables nurses and healthcare professional to assess and optimize the Patient Education Information Material (PEIM) according to scientific criteria. This paper describes the development and psychometric testing of PERSI- PEIMET.

Methods: The psychometric properties of PERSI-PEIMET (with 42 items) including face, content, and construct validity and reliability were done. Exploratory factor analysis was used in order to evaluate construct validity and 527 experts in Medical library and information sciences, nursing education and clinical experts who were faculty member in Tehran, Iran, Tabriz, Boushehr, Isfahan, Zahedan and Ahvaz medical universities, were recruited randomly.

Results: Exploratory factor analysis identified 10 factors including readability, design, structure, coherence, suitability, appropriateness, actionabiity, quality, formatting and reliability that together accounted for 83.92% of the total variance of the factors. The Cronbach’s alpha of these ten factors and the total scale were 0.922, 0.917, 0.836, 0.831, 0.816, 0.717, 0.749, 0.781, 0.737 and 0.951, respectively. The intra-class correlation coefficient based on test-retest was 0.85 which showed entire scale reliability is high.

Conclusion: The PERSI- PEIMET appears to have acceptable validity and reliability and it is considered as a good instrument for evaluatin PEIM. PERSI_PEIMET comprehensively evaluates all the characteristics and variables affecting the efficiency of PEIMs. Instrument development is an iterative process and further testing with other cohorts and in other settings is required.