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Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

We used it to generate features for each individual day, and we calculated the average across all days for each individual participant. Our last set of text features was generated using the Bidirectional Encoder Representations from Transformers (BERT) language model [49]. We used a model that was pretrained for sentiment analysis using Twitter data [50], as we expected Twitter data to use similar language as other social media and messaging platforms.

Mehrab Beikzadeh, Ian W Holloway, Kimmo Kärkkäinen, Chenglin Hong, Cory Cascalheira, Elizabeth S C Wu, Callisto Boka, Alexandra C Avendaño, Elizabeth A Yonko, Majid Sarrafzadeh

Online J Public Health Inform 2025;17:e68013

Comparison of ActiGraph CentrePoint Insight Watch Placement on Dominant and Nondominant Wrists in Young Adults in Free-Living Conditions: Observational Validation Study

Comparison of ActiGraph CentrePoint Insight Watch Placement on Dominant and Nondominant Wrists in Young Adults in Free-Living Conditions: Observational Validation Study

Buchan et al [18] reported no significant differences between the two device placements for wear time and MVPA; however, they monitored the behavioral outcomes during waking hours for only 1 day. Park et al [20] also compared the two device placements during waking hours in a single-day, free-living setting and found that the dominant wrist tended to yield higher step counts compared with the nondominant wrist.

Daehyoung Lee, Haley Voermans-Dean, Jung Eun Lee, Jong Cheol Shin, Gregory Dominick

JMIR Mhealth Uhealth 2025;13:e63033

Development of a Sham Smartphone App for Opioid Use Disorder: Acceptability and Suitability Study

Development of a Sham Smartphone App for Opioid Use Disorder: Acceptability and Suitability Study

In 2018, the FDA approved re SET-O, an 84-day prescription digital therapeutic, to improve retention in outpatient treatment for OUD [15]. re SET-O received FDA approval after the completion of a randomized trial that used treatment as usual for the control condition. In doing so, the efficacy demonstrated by re SET-O may be attributable to having access to an app rather than the intervention provided within re SET-O itself.

Kierstyn S Gallegos, Jennifer S Potter, Van L King, Gregg Siegel, Leslie H Siegel, Elise N Marino

JMIR Form Res 2025;9:e71105

Experiences With a Multicomponent Digital Behavioral Pain Management Intervention for Adults With Sickle Cell Disease: Qualitative Analysis of the CaRISMA Trial

Experiences With a Multicomponent Digital Behavioral Pain Management Intervention for Adults With Sickle Cell Disease: Qualitative Analysis of the CaRISMA Trial

So, that’s why I like; she comes in and texts and if, if we scheduled an appointment and that’s not good day, she’s very flexible. So, uh, I kinda like how everything is going with, with the coach that I have. Some participants lamented limited interactions with their health coach, wishing that they had more time to get to know them. For example, one participant said, “I kinda wish I had the, more time to talk to her more, so we could kinda get like a better understanding of each other” (P67).

Olubusola B Oluwole, Lakeya S McGill, Kadeem Gayle, Julia A O'Brien, Kaleab Z Abebe, Charles R Jonassaint, Megan Hamm

JMIR Hum Factors 2025;12:e73719

Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis

Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis

Gen AI technologies have demonstrated capacity to pass medical board examinations [12] and make accurate diagnoses [13], and they are already transforming day-to-day clinical practice. Thoughtful application of Gen AI tools has the potential to improve many deficiencies of health care delivery for both patients and PCPs. However, the “when” and “how” of applying Gen AI to respond to primary care messages is still in its formative period, with a high price of investment and uncertain impact.

Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas

JMIR Form Res 2025;9:e71966