Evidence map›Paper›PMID 38840133›Full record

ArticleBMC medical education2024

Translation, cultural adaptation and linguistic validation of the postgraduate hospital educational environment measure into Arabic.

Ghaith Alfakhry, Khattab Mustafa, Rawan Khwanda, Mervat Alhaffar, Khaled Alhomsi, Rama Kodmani

Abstract readValidation Study
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ghaith AlfakhryEducation Quality and Scientific Research Office, Al-Sham Private University, Damascus, Damascus Governorate, N/A, Baramekeh, Syria. ghaithalfakhry@gmail.com.ORCID http://orcid.org/0000-0002-9694-8554
Khattab MustafaProgram of Medical Education, Syrian Virtual University, Damascus Governorate, N/A, Damascus, Syria.
Rawan KhwandaDepartment of Pediatrics, Damascus Hospital, Damascus Governorate, N/A, Damascus, Syria.
Mervat AlhaffarDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine Faculty of Public Health and Policy, London, UK.ORCID http://orcid.org/0000-0002-3737-8790
Khaled AlhomsiDepartment of Biomedical Sciences, Al-Sham Private University, Damascus Governorate, N/A, Damascus, Syria.
Rama KodmaniUniversity Hospital of Dermatology and Venereology, Damascus University, Damascus Governorate, N/A, Damascus, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of the clinical learning environment (CLE) is an essential step that teaching hospitals routinely undertake to ensure the environment is conducive, learning-oriented and supportive of junior doctors' education. The Postgraduate Hospital Educational Environment Measure (PHEEM) is an internationally recognized tool for assessing the CLE with evidence of high reliability and validity. Translation of PHEEM into other languages such as Spanish, Japanese and Persian enabled wider adoption of the instrument in the world. However, in Syria and other Arabic countries, a validated Arabic translation of PHEEM is still not available, making it difficult to adopt it and use it in Arabic contexts. This study aims to translate and culturally adapt the PHEEM from English into Arabic.

methodsThis study followed the structured translation and validation process guideline proposed by Sousa & Rojjanasrirat 2010. First, the PHEEM went through forward translation by three translators, then reconciled with the aid of a fourth translator. Afterwards, two professional bicultural and bilingual translators conducted back translation into English and compared it with the original version. This formed the Pre-final Version (PFV) which was then pretested for clarity on a sample of medical residents in Damascus, Syria. Following appropriate modifications, the PFV was sent to a panel of experts for a comprehensive review of language clarity and to assess content validity.

resultsA total of thirty-five medical residents were recruited. Ten items with language clarity issues were identified and modified according to the elicited suggestions. Thereafter, the modified PFV was presented to ten subject experts who identified three items in need of revision. The item-content Validity Index (CVI) was over 0.78 for all of the 40 items; the calculated scale-CVI was 0.945. DISCUSSION: This study provided the first linguistically valid Arabic translation of the widely used PHEEM inventory. The next step is to conduct a full psychometric analysis of the Arabic PHEEM to provide further evidence of validity and reliability.

Indexed as

TranslationsEducation, Medical, GraduateFemaleHospitals, TeachingHumansInternship and ResidencyLanguageMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesSyriaTranslatingArabic languagePHEEMPostgraduate hospital educational environment measureSyriaTranslationValidation

Identifiers

PMID38840133
PMCPMC11154972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.