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Understanding Dermatologists’ Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis

Understanding Dermatologists’ Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis

The Adopters (mean age 46.9, SD 11.7 y) were significantly younger compared to both the Indecisives (mean age 51.4, SD 7.9 y; P=.03) and Rejectors (mean age 58.8, SD 6.7 y; P The analysis of individual items revealed distinct profiles of the three clusters on their attitude toward DHIs. The following paragraphs describe selected items for each factor and cluster. A comprehensive overview of all item ratings is presented in Figure 1.

Patrick Reinders, Matthias Augustin, Marina Otten

JMIR Hum Factors 2025;12:e59757

Intrinsic Motivation, Attitudes, and Practices of Young Physicians Regarding Scientific Research: Cross-Sectional Study in China

Intrinsic Motivation, Attitudes, and Practices of Young Physicians Regarding Scientific Research: Cross-Sectional Study in China

Descriptive analysis was performed to summarize participants’ demographic characteristics and scores for intrinsic motivation, attitude, and practice. All continuous variables, including intrinsic motivation, attitude, and practice scores, were expressed as mean (SD), while categorical data, including demographic characteristics and individual question responses, were presented as n (%).

Liwei Wang, Jiajia Ren, Song Zhang, Yu’e Sun, Yu Ding, Congxian Yang, Chan Zheng, Zhenduo Shi, Yangzi Zhu

J Med Internet Res 2025;27:e72633

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Similarly, technological optimism can significantly impact a student’s attitude. Io T acceptance is greater for learners who are enthusiastic about experimenting with novel innovations. Technological innovators infrequently perceive new innovations as being challenging or outside their comprehension. Individuals are more inclined to regret not having the freedom to play around with novel technologies [45]. As a result, a number of hypotheses are put forth: H1: TOP affects positively the PE.

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377

Older Adults’ Perspectives on Participating in a Synchronous Online Exercise Program: Qualitative Study

Older Adults’ Perspectives on Participating in a Synchronous Online Exercise Program: Qualitative Study

I have the attitude exercise is important for everybody, but it’s especially important as we get older. I need physical exercise. My body feels better. Two participants discussed the reasons for seeking out opportunities to increase their PA. If I joined the program at least it would give me a reason to get up and get started in exercise. Since I’ve retired, I’m trying to find some kind of routine that would keep me active, and [help with] losing weight and trying to get healthy for longevity.

Giulia Coletta, Kenneth S Noguchi, Kayla Beaudoin, Angelica McQuarrie, Ada Tang, Rebecca Ganann, Stuart M Phillips, Meridith Griffin

JMIR Aging 2025;8:e66473

Understanding Appropriation of Digital Self-Monitoring Tools in Mental Health Care: Qualitative Analysis

Understanding Appropriation of Digital Self-Monitoring Tools in Mental Health Care: Qualitative Analysis

Furthermore, consistent with other research [28,29], our study indicated that technology literacy and attitude can influence willingness to use digital tools. More anthropological field research on mental health care workers’ existing technology habits and literacy might help inform the system design of the ESM tools and understand users’ context and capabilities. Similarly, engaging end-users in co-design processes could help tackle usability issues that could lead users to abandon the tools.

Lena de Thurah, Glenn Kiekens, Jeroen Weermeijer, Lotte Uyttebroek, Martien Wampers, Rafaël Bonnier, Inez Myin-Germeys

JMIR Hum Factors 2025;12:e60096

Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study

Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study

This reflects a cautious attitude of podiatrists toward AI-generated advice and raised the question: Will AI support be more readily accepted in supportive than in diagnostic tasks, and what factors influence this difference in acceptance? Therefore, phase 2 of our study sought to explore the specific applications of AI in supportive versus diagnostic roles within podiatry in detail.

Mohammed A Tahtali, Chris C P Snijders, Corné W G M Dirne, Pascale M Le Blanc

JMIR Hum Factors 2025;12:e59010