Evidence map›Paper›PMID 38302962›Full record

ArticleBMC medical education2024

A psychometric evaluation of inter-professional education competency tool in nursing and medicine students.

Davood Rasouli, Azam Norouzi, Ghobad Ramezani, Akram Hashemi

Abstract read
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. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Davood RasouliCenter for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Azam NorouziDepartment of Medical Education, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Ghobad RamezaniEducation Development Center, Kermanshah University of Medical Sciences, Kermanshah, Iran. ramazanighobad@gmail.com.ORCID http://orcid.org/0000-0002-8192-5587
Akram HashemiCenter for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCollaboration between nurses and doctors is necessary for offering care to patients. Using team performance assessment tools and surveying them can be effective in promoting inter-professional collaboration, and the lack of a credible tool to assess inter-professional collaboration competency between the two groups is a major challenge in the healthcare sector. The present study aimed to translate and conduct a psychometric investigation on the inter-professional education collaboration (IPEC) tool for the students of medicine and nursing.

methodsThe present study was a cross-sectional one conducted as a psychometric investigation of the IPEC tool at the Iran University of Medical Sciences in 2022. The initial tool contained 42 items developed according to a 5-point Likert scale, which was translated into Persian with the consent of the original researcher. The validity index and the content validity ratio were investigated by a panel of 11 specialists in medical and clinical education, and its construct validity was evaluated using confirmatory factor analysis. Also, the second population of the study included medical and nursing students of Iran University of Medical Sciences and simple random sampling method. Moreover, the reliability of the instrument was investigated using internal consistency, Cronbach's Alpha, and test-retest methods.

resultsBased on the indicators calculated to perform a psychometric investigation over the above tool, it had acceptable reliability and validity according to the specialists. The tool evaluates inter-professional collaboration competency between the students of medicine and nursing across four areas (values and ethics, roles and responsibilities, inter-professional communication, and team-based care and teamwork). Moreover, Cronbach's Alpha coefficient for the tool was determined at 0.84.

conclusionThe results of the study showed that the above tool could evaluate inter-professional competency as a valid and reliable questionnaire, and its results could be utilized in planning and education.

Indexed as

Education, ProfessionalStudents, MedicalStudents, NursingCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesEvaluationInter-professional collaborationInter-professional educationInter-professional trainingPsychometrics

Identifiers

PMID38302962
PMCPMC10835904

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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.