Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria
Background: The clinical learning environment (CLE) plays a crucial role in shaping the learning experiences and professional development of medical professionals. Understanding and optimising this environment is essential for improving doctors’ knowledge acquisition, clinical skills, and overall we...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
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BioMed Central
2024
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_version_ | 1811140018986549248 |
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author | Alfakhry, G Kodmani, R Almasri, IA |
author_facet | Alfakhry, G Kodmani, R Almasri, IA |
author_sort | Alfakhry, G |
collection | OXFORD |
description | Background: The clinical learning environment (CLE) plays a crucial role in shaping the learning experiences and professional development of medical professionals. Understanding and optimising this environment is essential for improving doctors’ knowledge acquisition, clinical skills, and overall well-being. The development of the Postgraduate Hospital Educational Environment Measure (PHEEM) and its translation to numerous languages has been a milestone in clinical education. Even though PHEEM was recently translated into Arabic, its psychometric properties in this form remain unevaluated. Therefore, this study aims to conduct a comprehensive psychometric analysis of the Arabic version of the PHEEM questionnaire. Methods: This is a cross-sectional questionnaire survey validation study. The defined population were medical residents in Damascus, Syria. A paper-based survey as well as an online-based one were conducted using several non-probability sampling methods namely, convenience, river and, snowball sampling between June 15, 2023, and June 21, 2023. Both exploratory (EFA) and confirmatory (CFA) factor analyses were conducted. Several psychometric criteria were applied including scree plot, eigenvalue > 1.5 and the ‘proportion of variance accounted for’ criterion. Results: A total of 543 participants completed the questionnaire (56.9% female). Kaiser-Meyer-Olkin measure for sample adequacy was high (0.937) and the P-value for Bartlett’s test was < 0.001. EFA revealed five meaningful factors which were labelled: perception of teachers, learner’s engagement and social participation, external regulation, work culture, and living conditions. These factors had the following eigenvalues: 12.6, 2.18, 2.03, 1.86, and 1.41 respectively, with a total explained variance of 43.45%. Cronbach’s Alpha was 0.938. CFA confirmed the model structure of EFA (SRMR = 0.067 and RMSEA = 0.066). The Average Variance Explained (AVE) value of any given factor was > 0.7. Discussion: The Arabic PHEEM inventory demonstrated satisfactory psychometric properties. The extracted domains are of theoretical relevance to the psychosocial-material conceptual framework for learning environment. Nonetheless, this validation was performed in the Syrian context; therefore, future studies in other Arabic countries are recommended to support the applicability of Arabic PHEEM in the wide Arab World. |
first_indexed | 2024-09-25T04:15:19Z |
format | Journal article |
id | oxford-uuid:526eaef7-0667-484a-9598-db923647190a |
institution | University of Oxford |
language | English |
last_indexed | 2024-09-25T04:15:19Z |
publishDate | 2024 |
publisher | BioMed Central |
record_format | dspace |
spelling | oxford-uuid:526eaef7-0667-484a-9598-db923647190a2024-07-15T20:03:45ZPsychometric properties of the arabic version of PHEEM applied on a sample of medical residents in SyriaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:526eaef7-0667-484a-9598-db923647190aEnglishJisc Publications RouterBioMed Central2024Alfakhry, GKodmani, RAlmasri, IABackground: The clinical learning environment (CLE) plays a crucial role in shaping the learning experiences and professional development of medical professionals. Understanding and optimising this environment is essential for improving doctors’ knowledge acquisition, clinical skills, and overall well-being. The development of the Postgraduate Hospital Educational Environment Measure (PHEEM) and its translation to numerous languages has been a milestone in clinical education. Even though PHEEM was recently translated into Arabic, its psychometric properties in this form remain unevaluated. Therefore, this study aims to conduct a comprehensive psychometric analysis of the Arabic version of the PHEEM questionnaire. Methods: This is a cross-sectional questionnaire survey validation study. The defined population were medical residents in Damascus, Syria. A paper-based survey as well as an online-based one were conducted using several non-probability sampling methods namely, convenience, river and, snowball sampling between June 15, 2023, and June 21, 2023. Both exploratory (EFA) and confirmatory (CFA) factor analyses were conducted. Several psychometric criteria were applied including scree plot, eigenvalue > 1.5 and the ‘proportion of variance accounted for’ criterion. Results: A total of 543 participants completed the questionnaire (56.9% female). Kaiser-Meyer-Olkin measure for sample adequacy was high (0.937) and the P-value for Bartlett’s test was < 0.001. EFA revealed five meaningful factors which were labelled: perception of teachers, learner’s engagement and social participation, external regulation, work culture, and living conditions. These factors had the following eigenvalues: 12.6, 2.18, 2.03, 1.86, and 1.41 respectively, with a total explained variance of 43.45%. Cronbach’s Alpha was 0.938. CFA confirmed the model structure of EFA (SRMR = 0.067 and RMSEA = 0.066). The Average Variance Explained (AVE) value of any given factor was > 0.7. Discussion: The Arabic PHEEM inventory demonstrated satisfactory psychometric properties. The extracted domains are of theoretical relevance to the psychosocial-material conceptual framework for learning environment. Nonetheless, this validation was performed in the Syrian context; therefore, future studies in other Arabic countries are recommended to support the applicability of Arabic PHEEM in the wide Arab World. |
spellingShingle | Alfakhry, G Kodmani, R Almasri, IA Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title | Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title_full | Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title_fullStr | Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title_full_unstemmed | Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title_short | Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria |
title_sort | psychometric properties of the arabic version of pheem applied on a sample of medical residents in syria |
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