Understanding Health Care Students' Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study.


Journal

JMIR medical education
ISSN: 2369-3762
Titre abrégé: JMIR Med Educ
Pays: Canada
ID NLM: 101684518

Informations de publication

Date de publication:
13 Aug 2024
Historique:
received: 10 08 2023
accepted: 30 04 2024
revised: 26 09 2023
medline: 13 8 2024
pubmed: 13 8 2024
entrez: 13 8 2024
Statut: epublish

Résumé

ChatGPT was not intended for use in health care, but it has potential benefits that depend on end-user understanding and acceptability, which is where health care students become crucial. There is still a limited amount of research in this area. The primary aim of our study was to assess the frequency of ChatGPT use, the perceived level of knowledge, the perceived risks associated with its use, and the ethical issues, as well as attitudes toward the use of ChatGPT in the context of education in the field of health. In addition, we aimed to examine whether there were differences across groups based on demographic variables. The second part of the study aimed to assess the association between the frequency of use, the level of perceived knowledge, the level of risk perception, and the level of perception of ethics as predictive factors for participants' attitudes toward the use of ChatGPT. A cross-sectional survey was conducted from May to June 2023 encompassing students of medicine, nursing, dentistry, nutrition, and laboratory science across the Americas. The study used descriptive analysis, chi-square tests, and ANOVA to assess statistical significance across different categories. The study used several ordinal logistic regression models to analyze the impact of predictive factors (frequency of use, perception of knowledge, perception of risk, and ethics perception scores) on attitude as the dependent variable. The models were adjusted for gender, institution type, major, and country. Stata was used to conduct all the analyses. Of 2661 health care students, 42.99% (n=1144) were unaware of ChatGPT. The median score of knowledge was "minimal" (median 2.00, IQR 1.00-3.00). Most respondents (median 2.61, IQR 2.11-3.11) regarded ChatGPT as neither ethical nor unethical. Most participants (median 3.89, IQR 3.44-4.34) "somewhat agreed" that ChatGPT (1) benefits health care settings, (2) provides trustworthy data, (3) is a helpful tool for clinical and educational medical information access, and (4) makes the work easier. In total, 70% (7/10) of people used it for homework. As the perceived knowledge of ChatGPT increased, there was a stronger tendency with regard to having a favorable attitude toward ChatGPT. Higher ethical consideration perception ratings increased the likelihood of considering ChatGPT as a source of trustworthy health care information (odds ratio [OR] 1.620, 95% CI 1.498-1.752), beneficial in medical issues (OR 1.495, 95% CI 1.452-1.539), and useful for medical literature (OR 1.494, 95% CI 1.426-1.564; P<.001 for all results). Over 40% of American health care students (1144/2661, 42.99%) were unaware of ChatGPT despite its extensive use in the health field. Our data revealed the positive attitudes toward ChatGPT and the desire to learn more about it. Medical educators must explore how chatbots may be included in undergraduate health care education programs.

Sections du résumé

BACKGROUND BACKGROUND
ChatGPT was not intended for use in health care, but it has potential benefits that depend on end-user understanding and acceptability, which is where health care students become crucial. There is still a limited amount of research in this area.
OBJECTIVE OBJECTIVE
The primary aim of our study was to assess the frequency of ChatGPT use, the perceived level of knowledge, the perceived risks associated with its use, and the ethical issues, as well as attitudes toward the use of ChatGPT in the context of education in the field of health. In addition, we aimed to examine whether there were differences across groups based on demographic variables. The second part of the study aimed to assess the association between the frequency of use, the level of perceived knowledge, the level of risk perception, and the level of perception of ethics as predictive factors for participants' attitudes toward the use of ChatGPT.
METHODS METHODS
A cross-sectional survey was conducted from May to June 2023 encompassing students of medicine, nursing, dentistry, nutrition, and laboratory science across the Americas. The study used descriptive analysis, chi-square tests, and ANOVA to assess statistical significance across different categories. The study used several ordinal logistic regression models to analyze the impact of predictive factors (frequency of use, perception of knowledge, perception of risk, and ethics perception scores) on attitude as the dependent variable. The models were adjusted for gender, institution type, major, and country. Stata was used to conduct all the analyses.
RESULTS RESULTS
Of 2661 health care students, 42.99% (n=1144) were unaware of ChatGPT. The median score of knowledge was "minimal" (median 2.00, IQR 1.00-3.00). Most respondents (median 2.61, IQR 2.11-3.11) regarded ChatGPT as neither ethical nor unethical. Most participants (median 3.89, IQR 3.44-4.34) "somewhat agreed" that ChatGPT (1) benefits health care settings, (2) provides trustworthy data, (3) is a helpful tool for clinical and educational medical information access, and (4) makes the work easier. In total, 70% (7/10) of people used it for homework. As the perceived knowledge of ChatGPT increased, there was a stronger tendency with regard to having a favorable attitude toward ChatGPT. Higher ethical consideration perception ratings increased the likelihood of considering ChatGPT as a source of trustworthy health care information (odds ratio [OR] 1.620, 95% CI 1.498-1.752), beneficial in medical issues (OR 1.495, 95% CI 1.452-1.539), and useful for medical literature (OR 1.494, 95% CI 1.426-1.564; P<.001 for all results).
CONCLUSIONS CONCLUSIONS
Over 40% of American health care students (1144/2661, 42.99%) were unaware of ChatGPT despite its extensive use in the health field. Our data revealed the positive attitudes toward ChatGPT and the desire to learn more about it. Medical educators must explore how chatbots may be included in undergraduate health care education programs.

Identifiants

pubmed: 39137029
pii: v10i1e51757
doi: 10.2196/51757
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e51757

Informations de copyright

©Ivan Cherrez-Ojeda, Juan C Gallardo-Bastidas, Karla Robles-Velasco, María F Osorio, Eleonor Maria Velez Leon, Manuel Leon Velastegui, Patrícia Pauletto, F C Aguilar-Díaz, Aldo Squassi, Susana Patricia González Eras, Erita Cordero Carrasco, Karol Leonor Chavez Gonzalez, Juan C Calderon, Jean Bousquet, Anna Bedbrook, Marco Faytong-Haro. Originally published in JMIR Medical Education (https://mededu.jmir.org), 13.08.2024.

Auteurs

Ivan Cherrez-Ojeda (I)

Universidad Espiritu Santo, Samborondon, Ecuador.
Respiralab Research Group, Guayaquil, Ecuador.

Juan C Gallardo-Bastidas (JC)

School of Dentistry, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador.

Karla Robles-Velasco (K)

Universidad Espiritu Santo, Samborondon, Ecuador.
Respiralab Research Group, Guayaquil, Ecuador.

María F Osorio (MF)

Universidad Espiritu Santo, Samborondon, Ecuador.
Respiralab Research Group, Guayaquil, Ecuador.

Eleonor Maria Velez Leon (EM)

Facultad de Odontología Universidad Católica de Cuenca, Cuenca, Ecuador.

Manuel Leon Velastegui (M)

Universidad Nacional de Chimborazo, Riobamba, Ecuador.

Patrícia Pauletto (P)

Universidad de Las Américas (UDLA), Quito, Ecuador.

F C Aguilar-Díaz (FC)

Departamento Salud Pública, Escuela Nacional de Estudios Superiores, Universidad Nacional Autónoma de México, Guanajuato, Mexico.

Aldo Squassi (A)

Universidad de Buenos Aires, Facultad de Odontologìa, Cátedra de Odontología Preventiva y Comunitaria, Buenos Aires, Argentina.

Susana Patricia González Eras (SP)

Universidad Nacional de Loja, Loja, Ecuador.

Erita Cordero Carrasco (E)

Departamento de cirugía y traumatología bucal y maxilofacial, Universidad de Chile, Santiago, Chile.

Karol Leonor Chavez Gonzalez (KL)

Universidad Politécnica Salesiana Sede Guayaquil, Guayaquil, Ecuador.

Juan C Calderon (JC)

Universidad Espiritu Santo, Samborondon, Ecuador.
Respiralab Research Group, Guayaquil, Ecuador.

Jean Bousquet (J)

Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany.
MASK-air, Montpellier, France.

Anna Bedbrook (A)

MASK-air, Montpellier, France.

Marco Faytong-Haro (M)

Respiralab Research Group, Guayaquil, Ecuador.
Universidad Estatal de Milagro, Cdla Universitaria "Dr. Rómulo Minchala Murillo", Milagro, Ecuador.
Ecuadorian Development Research Lab, Daule, Ecuador.

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Classifications MeSH