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Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

The authorship was previously published as: Paul Farrand1,2*, Ph D; Patrick J Raue3*, Ph D; Earlise Ward4*, Ph D; Dean Repper5*, MSc; Patricia Areán3*, Ph D The following author, equal contribution tag, ORCID, and associated affiliation have been added in the fifth position of the authorship: Jonathon Baker6*, MA (ORCID 0009 0000 9923 5042) Iona Mind Inc, Romford, United Kingdom The Authors' Contributions was revised from: PF, PA, and PJR conceptualized and designed the project with EW and DR providing theoretical

Paul Farrand, Patrick J Raue, Earlise Ward, Dean Repper, Jonathan Baker, Patricia Areán

JMIR Mhealth Uhealth 2025;13:e76573

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Profile accuracy: H=high, M=medium, L=low. AUC: area under the curve; M: mixed; N: negative; P: positive; TPR: true-positive rate; TNR: true-negative rate. The above summary (Figure 2) presents results for all pilot study patients to show performance and overall results. However, the individual prognostic patient profile as used in IMPT clinical assessment provides clearly presented summary results for each patient.

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025;12:e65890