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Identifying Health-Related Discussions of Cannabis Use on Twitter by Using a Medical Dictionary: Content Analysis of Tweets

Identifying Health-Related Discussions of Cannabis Use on Twitter by Using a Medical Dictionary: Content Analysis of Tweets

This study attempted to determine the extent to which a medical dictionary—the Unified Medical Language System Consumer Health Vocabulary (CHV) [15]—could accurately identify cannabis-related motivations for use and health consequences of cannabis use based on Twitter posts in 2020. The findings may be useful to state- and federal-level regulatory agencies as they grapple with identifying cannabis safety signals in a comprehensive and scalable way.

Jon-Patrick Allem, Anuja Majmundar, Allison Dormanesh, Scott I Donaldson

JMIR Form Res 2022;6(2):e35027

The Preferences of Patients With Cancer Regarding Apps to Help Meet Their Illness-Related Information Needs: Qualitative Interview Study

The Preferences of Patients With Cancer Regarding Apps to Help Meet Their Illness-Related Information Needs: Qualitative Interview Study

Coauthor, FW, a senior lecturer and medical sociologist, double-coded a subset of transcripts as described above. Both authors maintained an awareness of how their own personal characteristics and values may have influenced data collection or analysis. For example, neither RR nor FW has had a previous diagnosis of cancer and therefore may not fully understand participants’ experiences or the psychosocial context.

Rebecca Richards, Paul Kinnersley, Kate Brain, John Staffurth, Fiona Wood

JMIR Mhealth Uhealth 2019;7(7):e14187

A 9-Step Theory- and Evidence-Based Postgraduate Medical Digital Education Development Model: Empirical Development and Validation

A 9-Step Theory- and Evidence-Based Postgraduate Medical Digital Education Development Model: Empirical Development and Validation

Medical educators have the responsibility to promote learning and create interventions and innovations to effectively help students develop proficiency in a broad spectrum of competencies [1]. One way of achieving this is by using digital education instruments, sometimes called e-learning or technology-enhanced learning. Digital education instruments can be defined as any educational intervention that is electronically mediated [2].

Robert Adrianus de Leeuw, Fedde Scheele, Kieran Walsh, Michiel Westerman

JMIR Med Educ 2019;5(2):e13004

Use of the Smartphone App WhatsApp as an E-Learning Method for Medical Residents: Multicenter Controlled Randomized Trial

Use of the Smartphone App WhatsApp as an E-Learning Method for Medical Residents: Multicenter Controlled Randomized Trial

In view of its popularity with medical students, it seems interesting to envisage a new use of Whats App, by orienting it toward an educational objective (with the opportunity to recover screen time from students) [8,9]. The first reports of the use of this app for educational purposes date to the early 2017, for teaching medical students or training pathology residents [10,11].

Thomas Clavier, Julie Ramen, Bertrand Dureuil, Benoit Veber, Jean-Luc Hanouz, Hervé Dupont, Gilles Lebuffe, Emmanuel Besnier, Vincent Compere

JMIR Mhealth Uhealth 2019;7(4):e12825

Getting to the Root of Fine Motor Skill Performance in Dentistry: Brain Activity During Dental Tasks in a Virtual Reality Haptic Simulation

Getting to the Root of Fine Motor Skill Performance in Dentistry: Brain Activity During Dental Tasks in a Virtual Reality Haptic Simulation

One consequence of working-time directives and curriculum reform in recent years has been a reduction in health care training hours, with claims of up to a 5-fold cut in surgical training hours in some medical specialties [1,2]. In undergraduate dentistry, supervised curriculum hours dedicated to psychomotor skills training have been reduced as a consequence of overcrowding of dental curricula with new material [3].

Suzanne Perry, Susan M Bridges, Frank Zhu, W Keung Leung, Michael F Burrow, Jamie Poolton, Rich SW Masters

J Med Internet Res 2017;19(12):e371

Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study

Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study

The question of whether medical apps should be formally appraised, approved, and regulated for safety reasons has been much debated recently [51]. The United States Food and Drug Administration [52], European Commission, [53] and United Kingdom Medicines and Healthcare Devices Regulatory Agency [54] have attempted to do so (with partial success), but the field remains contested and progress in introducing apps into routine clinical practice remains extremely slow [55].

James Shaw, Sara Shaw, Joseph Wherton, Gemma Hughes, Trisha Greenhalgh

J Med Internet Res 2017;19(7):e244

Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review

Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review

The scarcity and uneven distribution of health care resources, such as medical facilities and professionals, often impedes people’s access to timely and effective health care services and professional medical advice, which has been a significant health concern worldwide [1].

Xin He, Xi Zheng, Huiyuan Ding

J Med Internet Res 2023;25:e50342

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