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Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial

Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial

Before the main analyses, independent samples t tests (2-tailed, paired) will be conducted on the baseline demographic variables to identify any significant differences between the 2 groups. Any variables that show statistically significant differences will be included as covariates in the subsequent main analyses. It is expected that the treatment group will demonstrate improved emotion regulation and reduced mood symptoms and loneliness following the music intervention, compared with the control group.

Yuan Cao, Yuanxin Shi, Debbie Chi Wing Low, Daniel T L Shek, David H K Shum, Radhika Tanksale, Genevieve Dingle

JMIR Res Protoc 2025;14:e67764

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

The final score on the PROMIS PI questionnaire is generated by converting the total raw score into a T-score for each participant using a web-based calculation tool [22]. The first questionnaire responses from the predictor period and the first subsequent recorded responses in the outcome period were used in the prediction model. Clinical questionnaires have a research-backed minimal clinically important difference (MCID) indicator that guides clinicians in evaluating the progress of symptoms [36].

James Skoric, Anna M Lomanowska, Tahir Janmohamed, Heather Lumsden-Ruegg, Joel Katz, Hance Clarke, Quazi Abidur Rahman

JMIR Med Inform 2025;13:e67178