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Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach

CONTEXT: Universities of medical sciences are responsible for educating and training human resources (HRs) that provide services to all members of the community. Clinical educators play a significant role in the promotion of health and education in medical sciences universities. AIMS: The aim of thi...

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Autores principales: Sadeghian, Akram, Tofighi, Shahram, Yamani, Nikoo, Changiz, Tahereh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377140/
https://www.ncbi.nlm.nih.gov/pubmed/32766337
http://dx.doi.org/10.4103/jehp.jehp_722_19
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author Sadeghian, Akram
Tofighi, Shahram
Yamani, Nikoo
Changiz, Tahereh
author_facet Sadeghian, Akram
Tofighi, Shahram
Yamani, Nikoo
Changiz, Tahereh
author_sort Sadeghian, Akram
collection PubMed
description CONTEXT: Universities of medical sciences are responsible for educating and training human resources (HRs) that provide services to all members of the community. Clinical educators play a significant role in the promotion of health and education in medical sciences universities. AIMS: The aim of this study was to prioritize and develop a model to illustrate the relationship between faculty recruitment challenges in medical sciences universities. SETTINGS AND DESIGN: Interpretive structural modeling (ISM) is a system design method initially introduced by Warfield (1974). This method helps create order in the complex interconnections between components of a system by interpreting the opinions of a group of experts. It both determines the priority of elements influencing one another and uncovers the association between the elements of a multipart set in a hierarchical structure. SUBJECTS AND METHODS: In this method, the identified challenges were built into a paired comparison questionnaire to be completed by policymakers and experts. By the same token, the obtained results were analyzed with the ISM technique. STATISTICAL ANALYSIS: The four steps include identified variables related to the issue, structural self-interaction matrix, initial reachability matrix, and final reachability matrix was used for analysis. According to these steps, the ISM model was portrayed. RESULTS: The ISM model was developed in ten levels that divided into three parts including key challenges, strategic challenges, and dependent challenges. CONCLUSION: Health promotion and quality of education in medical sciences universities is dependent on quality of faculty recruitment system. According to the results, it is imperative that HR managers and policymakers improve existing rules and develop policies to solve the challenges in this area.
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spelling pubmed-73771402020-08-05 Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach Sadeghian, Akram Tofighi, Shahram Yamani, Nikoo Changiz, Tahereh J Educ Health Promot Original Article CONTEXT: Universities of medical sciences are responsible for educating and training human resources (HRs) that provide services to all members of the community. Clinical educators play a significant role in the promotion of health and education in medical sciences universities. AIMS: The aim of this study was to prioritize and develop a model to illustrate the relationship between faculty recruitment challenges in medical sciences universities. SETTINGS AND DESIGN: Interpretive structural modeling (ISM) is a system design method initially introduced by Warfield (1974). This method helps create order in the complex interconnections between components of a system by interpreting the opinions of a group of experts. It both determines the priority of elements influencing one another and uncovers the association between the elements of a multipart set in a hierarchical structure. SUBJECTS AND METHODS: In this method, the identified challenges were built into a paired comparison questionnaire to be completed by policymakers and experts. By the same token, the obtained results were analyzed with the ISM technique. STATISTICAL ANALYSIS: The four steps include identified variables related to the issue, structural self-interaction matrix, initial reachability matrix, and final reachability matrix was used for analysis. According to these steps, the ISM model was portrayed. RESULTS: The ISM model was developed in ten levels that divided into three parts including key challenges, strategic challenges, and dependent challenges. CONCLUSION: Health promotion and quality of education in medical sciences universities is dependent on quality of faculty recruitment system. According to the results, it is imperative that HR managers and policymakers improve existing rules and develop policies to solve the challenges in this area. Wolters Kluwer - Medknow 2020-06-30 /pmc/articles/PMC7377140/ /pubmed/32766337 http://dx.doi.org/10.4103/jehp.jehp_722_19 Text en Copyright: © 2020 Journal of Education and Health Promotion http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sadeghian, Akram
Tofighi, Shahram
Yamani, Nikoo
Changiz, Tahereh
Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title_full Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title_fullStr Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title_full_unstemmed Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title_short Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach
title_sort clinical instructors' recruitment callenges: interpretive structural modeling approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377140/
https://www.ncbi.nlm.nih.gov/pubmed/32766337
http://dx.doi.org/10.4103/jehp.jehp_722_19
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