Medical Students Respond: Question Precision and Gender Differentiation. Comment on “Understanding Medical Students’ Attitudes Toward Learning eHealth: Questionnaire Study”

Almohtadi, Ahmad; Van, M; Seyedzenouzi, Golnoush

doi:10.2196/24993

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…The next finding lies in the positive and highly significant path coefficient (β = 0.42, P < 0.001) that links medical students’ beliefs about the impact of AI on medicine to their behavioral intention. This result is in line with Triandis’ interpersonal behavior theory 36 which postulates that individuals’ behavioral intention is influenced by their beliefs toward the behavior.…”

Section: Resultssupporting

confidence: 89%

“…Further, prior studies either focused on a specific dHealth technology [eg, 35 ] or provided a vague definition of dHealth. 36 Importantly, prior studies soliciting medical students’ opinions were conducted prior to the COVID-19 pandemic. In order to explore the factors that influence medical students’ intention to integrate dHealth technologies in their medical practice and analyze the influence of the COVID-19 pandemic on their perceptions and intention related to dHealth, we conducted a two-phased survey of medical students in Canada.…”

Section: Introductionmentioning

confidence: 99%

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Medical students’ intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada

et al. 2022

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Objective We aimed to explore the factors that influence medical students’ intention to integrate dHealth technologies in their practice and analyze the influence of the COVID-19 pandemic on their perceptions and intention. Methods We conducted a two-phased survey study at the University of Montreal's medical school in Canada. The study population consisted of 1367 medical students. The survey questionnaire was administered in two phases, that is, an initial survey (t0) in February 2020, before the Covid-19 pandemic, and a replication survey (t1) in January 2021, during the pandemic. Component-based structural equation modeling (SEM) was used to test seven research hypotheses. Results A total of 184 students responded to the survey at t0 (13%), whereas 138 responded to the survey at t1 (10%). Findings reveal that students, especially those who are in their preclinical years, had little occasion to experiment with dHealth technologies during their degree. This lack of exposure may explain why a vast majority felt that dHealth should be integrated into medical education. Most respondents declared an intention to integrate dHealth, including AI-based tools, into their future medical practice. One of the most salient differences observed between t0 and t1 brings telemedicine to the forefront of medical education. SEM results confirm the explanatory power of the proposed research model. Conclusions The present study unveils the specific dHealth technologies that could be integrated into existing medical curricula. Formal training would increase students’ competencies with these technologies which, in turn, could ease their adoption and effective use in their practice.

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Section: Resultssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Medical students’ intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada

et al. 2022

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“…Challenges remain in effectively using eHealth and long-term consumer engagement. Research has shown that although individuals have an active desire to use eHealth services, they often fail to act on their actual use behavior and persistent use over time (Almohtadi et al, 2020;ZHA Bo-wen et al, 2021). This phenomenon is termed the intention-behavior gap (IBG) (Sheeran P et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Bridging the Intention–Behavior Gap in eHealth Use among Chinese Medical Students: The Role of Trust and Privacy Risk Perception

Meng,

Zhu,

Yang

et al. 2023

Preprint

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Background eHealth utilizes technology to enhance healthcare services, but its adoption is hindered by the intention-behavior gap (IBG). It is important to understand the intention-behavior use of eHealth among medical students, who can play a significant role in the promotion of eHealth use. Objective 1) whether there is an IBG in eHealth use among Chinese medical students; 2) whether intuitive (e.g., trust in eHealth information) and deliberate (e.g., eHealth literacy) processes are mediators in the intention-behavior use of eHealth, and 3) how the motivation processes (e.g., privacy risk perception of eHealth) potentially moderate the eHealth use intention and intuitive or deliberate processes relationship. Methods All measures were self-reported by 363 Chinese medical students. SPSS macro-PROCESS was used to explore mediation and moderation effects between the intention to use and actual use of eHealth. Results Only 22% of students who reported eHealth use intention used eHealth services, particularly telemedicine. Trust in eHealth information mediated the relationship between use intention and actual use of eHealth (95% CI [0.003, 0.048]). Privacy risk perception of eHealth moderated this mediation relationship (95% CI [0.09, 0.009]). However, eHealth literacy did not mediate the relationship between use intention and actual use of eHealth. Conclusion The association between Chinese medical students’ eHealth use intention and actual eHealth use is partially mediated by their trust in eHealth information, which is moderated by their privacy risk perceptions. Enhancing students’ trust in eHealth information and reducing their concerns about privacy risks can be integrated into future medical training programs.

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Medical Students Respond: Question Precision and Gender Differentiation. Comment on “Understanding Medical Students’ Attitudes Toward Learning eHealth: Questionnaire Study”

Cited by 2 publications

References 5 publications

Medical students’ intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada

Medical students’ intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada

Bridging the Intention–Behavior Gap in eHealth Use among Chinese Medical Students: The Role of Trust and Privacy Risk Perception

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