Attitudes of Anesthesiology Residents Toward a Small Group Blended Learning Class.

Anesthesiology Attitude Assessment Education Residency Program Small Group

Journal

Anesthesiology and pain medicine
ISSN: 2228-7523
Titre abrégé: Anesth Pain Med
Pays: Netherlands
ID NLM: 101585412

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 16 05 2020
accepted: 30 05 2020
entrez: 18 9 2020
pubmed: 19 9 2020
medline: 19 9 2020
Statut: epublish

Résumé

Accreditation Council for Graduate Medical Education (ACGME) has been used to evaluate the residents' competency; however, the thriving of residents needs especial training methods and techniques. Small group learning has been used for this propose. This study assessed the attitudes of CA-1 to CA-3 anesthesiology residents toward level-specific small-group blended learning. Anesthesiology residents from Department of Anesthesiology, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran participated in this cross-sectional attitude assessment descriptive-analytical study throughout the 2nd academic semester (May-October 2019). They took part in a level-specific small-group blended learning program and filled out an attitude assessment questionnaire. The questionnaire included eight closed questions and was filled out anonymously. The residents believed that this program made important contributions to their theory training and clinical skills of anesthesia; while created a greater sense of solidarity. In addition, nearly the majority of the respondents did not believe that participating in the classes made interference in their clinical duties or was a difficult task. Instead, the majority of residents believed that these classes were in favor of reducing their burnout. The reliability of the questionnaire based on Cronbach's Alpha was 0.885. Anesthesiology residents are in favor of small-group learning, especially when considering their clinical setting and the degree of burnout they tolerate.

Sections du résumé

BACKGROUND BACKGROUND
Accreditation Council for Graduate Medical Education (ACGME) has been used to evaluate the residents' competency; however, the thriving of residents needs especial training methods and techniques. Small group learning has been used for this propose.
OBJECTIVES OBJECTIVE
This study assessed the attitudes of CA-1 to CA-3 anesthesiology residents toward level-specific small-group blended learning.
METHODS METHODS
Anesthesiology residents from Department of Anesthesiology, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran participated in this cross-sectional attitude assessment descriptive-analytical study throughout the 2nd academic semester (May-October 2019). They took part in a level-specific small-group blended learning program and filled out an attitude assessment questionnaire. The questionnaire included eight closed questions and was filled out anonymously.
RESULTS RESULTS
The residents believed that this program made important contributions to their theory training and clinical skills of anesthesia; while created a greater sense of solidarity. In addition, nearly the majority of the respondents did not believe that participating in the classes made interference in their clinical duties or was a difficult task. Instead, the majority of residents believed that these classes were in favor of reducing their burnout. The reliability of the questionnaire based on Cronbach's Alpha was 0.885.
CONCLUSIONS CONCLUSIONS
Anesthesiology residents are in favor of small-group learning, especially when considering their clinical setting and the degree of burnout they tolerate.

Identifiants

pubmed: 32944563
doi: 10.5812/aapm.103148
pmc: PMC7472787
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e103148

Informations de copyright

Copyright © 2020, Author(s).

Déclaration de conflit d'intérêts

Conflict of Interests: No conflict of interest was declared by the authors.

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Auteurs

Ali Dabbagh (A)

Anesthesiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Parissa Sezari (P)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Soodeh Tabashi (S)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Ardeshir Tajbakhsh (A)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Nilofar Massoudi (N)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Maryam Vosoghian (M)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammadreza Moshari (M)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Alireza Jaffari (A)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Navid Nooraei (N)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

A Sassan Sabouri (AS)

Anesthesiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, United States.

Seyedpouzhia Shojaei (S)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Sara Salarian (S)

Anesthesiology Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Classifications MeSH