Journal of Educational Evaluation for Health Professions

Volume 20; 2023

Research articles

Priorities in updating training paradigms in orthopedic manual therapy: an international Delphi study: Damian Keter, David Griswold, Kenneth Learman, Chad Cook; J Educ Eval Health Prof. 2023;20:4. Published online January 27, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.4 [Epub ahead of print]

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Abstract PDF: Purpose
Orthopedic manual therapy (OMT) education demonstrates significant variability between philosophies and while literature has offered a more comprehensive understanding of the contextual, patient specific, and technique factors which interact to influence outcome, most OMT training paradigms continue to emphasize the mechanical basis for OMT application. The purpose of this study was to establish consensus on modifications & adaptions to training paradigms which need to occur within OMT education to align with current evidence.
Methods
A 3-round Delphi survey instrument designed to identify foundational knowledge to include and omit from OMT education was completed by 28 educators working within high level manual therapy education programs internationally. Round 1 consisted of open-ended questions to identify content in each area. Round 2 and Round 3 allowed participants to rank the themes identified in Round 1.
Results
Consensus was reached on 25 content areas to include within OMT education, 1 content area to omit from OMT education, and 34 knowledge components which should be present in those providing OMT. Support was seen for education promoting understanding the complex psychological, neurophysiological, and biomechanical systems as they relate to both evaluation and treatment effect. While some concepts were more consistently supported there was significant variability in responses which is largely expected to be related to previous training.
Conclusion
The results of this study indicate manual therapy educators understanding of evidence-based practice as support for all 3 tiers of evidence were represented. The results of this study should guide OMT training program development and modification.

Identifying the nutrition support nurses’ tasks using importance–performance analysis in Korea: a descriptive study: Jeong Yun Park; J Educ Eval Health Prof. 2023;20:3. Published online January 18, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.3 [Epub ahead of print]

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Abstract PDF: Purpose
Nutrition support nurse is a member of a nutrition support team and is a health care professional who takes a significant part in all aspects of nutritional care. This study aims to investigate ways to improve the quality of tasks performed by nutrition support nurses through survey questionnaires in Korea.
Methods
An online survey was conducted between October 12 and November 31, 2018. The questionnaire consists of 36 items categorized into 5 subscales: nutrition-focused support care, education and counseling, consultation and coordination, research and quality improvement, and leadership. The importance–performance analysis method was used to confirm the relationship between the importance and performance of nutrition support nurses’ tasks.
Results
A total of 101 nutrition support nurses participated in this survey. The importance (5.56±0.78) and performance (4.50±1.06) of nutrition support nurses’ tasks showed a significant difference (t=11.27, P<0.001). Education, counseling/consultation, and participation in developing their processes and guidelines were identified as low-performance activities compared with their importance.
Conclusion
To intervene nutrition support effectively, nutrition support nurses should have the qualification or competency through the education program based on their practice. Improved awareness of nutrition support nurses participating in research and quality improvement activity for role development is required.

What impacts students’ satisfaction the most from Medicine Student Experience Questionnaire in Australia: a validity study: Pin-Hsiang Huang, Gary Velan, Greg Smith, Melanie Fentoullis, Sean E. Kennedy, Karen J. Gibson, Kerry Uebel, Boaz Shulruf; J Educ Eval Health Prof. 2023;20:2. Published online January 18, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.2 [Epub ahead of print]

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Abstract PDF: Purpose
This study evaluated the validity of student feedback derived from Medicine Student Experience Questionnaire (MedSEQ), as well as the predictors of students’ satisfaction in the Medicine program.
Methods
Data from MedSEQ applying to the University of New South Wales Medicine program in 2017, 2019, and 2021 were analyzed. Confirmatory factor analysis (CFA) and Cronbach’s α were used to assess the construct validity and reliability of MedSEQ respectively. Hierarchical multiple linear regressions were used to identify the factors that most impact students’ overall satisfaction with the program.
Results
A total of 1,719 students (34.50%) responded to MedSEQ. CFA showed good fit indices (root mean square error of approximation=0.051; comparative fit index=0.939; chi-square/degrees of freedom=6.429). All factors yielded good (α>0.7) or very good (α>0.8) levels of reliability, except the “online resources” factor, which had acceptable reliability (α=0.687). A multiple linear regression model with only demographic characteristics explained 3.8% of the variance in students’ overall satisfaction, whereas the model adding 8 domains from MedSEQ explained 40%, indicating that 36.2% of the variance was attributable to students’ experience across the 8 domains. Three domains had the strongest impact on overall satisfaction: “being cared for,” “satisfaction with teaching,” and “satisfaction with assessment” (β=0.327, 0.148, 0.148, respectively; all with P<0.001).
Conclusion
MedSEQ has good construct validity and high reliability, reflecting students’ satisfaction with the Medicine program. Key factors impacting students’ satisfaction are the perception of being cared for, quality teaching irrespective of the mode of delivery and fair assessment tasks which enhance learning.

Brief report

Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study: Sun Huh; J Educ Eval Health Prof. 2023;20:1. Published online January 11, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.1

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Abstract PDF Supplementary Material: This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The examination consisted of 79 items and was administered to ChatGPT on January 1, 2023. The examination results were analyzed in terms of ChatGPT’s overall performance score, its correct answer rate by the items’ knowledge level, and the acceptability of its explanations of the items. ChatGPT’s performance was lower than that of the medical students, and ChatGPT’s correct answer rate was not related to the items’ knowledge level. However, there was a relationship between acceptable explanations and correct answers. In conclusion, ChatGPT’s knowledge and interpretation ability for this parasitology examination were not yet comparable to those of medical students in Korea.

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