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Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

In addition, we predicted that participants who were informed of a biological age value higher than their chronological age would be more likely to engage in the app (ie, serving as a nudge or “wake-up” call to engage in more healthful lifestyle behaviors). Finally, we were interested in exploring participant characteristics that would predict higher engagement with the app without a priori predictions, as well as whether improvements in wellness metrics could be detected following program completion.

Calissa J Leslie-Miller, Shellen R Goltz, Pamela L Barrios, Christopher C Cushing, Teena Badshah, Corey T Ungaro, Shankang Qu, Yulia Berezhnaya, Tristin D Brisbois

JMIR Form Res 2025;9:e63471

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

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Moreover, research suggests that more contemporary generations of adults have a greater MCC burden and are diagnosed with MCC at earlier ages than previous generations [6]. Estimation of the prevalence of MCC throughout all stages of adulthood is a critical reflection of the MCC burden; it is important to examine the prevalence of MCC broadly using regularly updated data sources to inform targeted prevention and management strategies and resource prioritization.

Xintong Li, Caitlin Dreisbach, Carolina M Gustafson, Komal Patel Murali, Theresa A Koleck

JMIR Form Res 2025;9:e69138

Peer Review of “The Order in Speech Disorder: A Scoping Review of State of the Art Machine Learning Methods for Clinical Speech Classification (Preprint)”

Peer Review of “The Order in Speech Disorder: A Scoping Review of State of the Art Machine Learning Methods for Clinical Speech Classification (Preprint)”

This is the peer-review report for the preprint “The Order in Speech Disorder: A Scoping Review of State of the Art Machine Learning Methods for Clinical Speech Classification.” This review is the result of a virtual collaborative live review discussion organized and hosted by PREreview and JMIR Publications on April 10, 2025.

Vanessa Fairhurst, Sylvester Sakilay, Randa Salah Gomaa Mahmoud, Shailee Rasania, J Moonga, Toba Isaac Olatoye, Rameshwari Prasad, Prasakthi Venkatesan, Vasco Medeiros, Uday Kumar Chalwadi

JMIRx Med 2025;6:e76836

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

Interpreting seizure semiology is a nontrivial task because it relies heavily on expert knowledge with inconsistent and incoherent descriptions, leading to variability and potential limitations in presurgical evaluation. A recent study used the conditional inference tree algorithm to interpret seizure semiology but achieved a maximum accuracy of only 56.1% across 5 ictal onset regions [10].

Yaxi Luo, Meng Jiao, Neel Fotedar, Jun-En Ding, Ioannis Karakis, Vikram R Rao, Melissa Asmar, Xiaochen Xian, Orwa Aboud, Yuxin Wen, Jack J Lin, Fang-Ming Hung, Hai Sun, Felix Rosenow, Feng Liu

J Med Internet Res 2025;27:e69173

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Parental vaccine hesitancy, “a state of indecisiveness regarding a vaccination decision, independently of behaviour” [18], is associated with significantly lower coverage for HPV vaccination among adolescents [19]. One study, using a national US sample, found that parental hesitancy about HPV vaccination among parents of adolescents 11-17 years of age is prevalent (23%) and has a stronger influence on vaccine uptake than practical barriers such as cost or access [20].

Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides

J Med Internet Res 2025;27:e54657

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

(computer, smartphone, internet, and text message) outside of the traditional F2 F therapy setting; and (4) the article was written in English as a peer-reviewed journal article.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

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

CIR (Expertisecentrum chronische pijn), a multicenter pain rehabilitation clinic in the Netherlands, provides a 10-week IMPT program for patients with CMP, reporting consistent positive outcomes [8,9]. The IMPT program supports patients with CMP in modifying their behavior and assisting with pain management, focusing patient attention on specific value-based goals rather than fighting pain.

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

JMIR Rehabil Assist Technol 2025;12:e65890

Evaluating the Use of a Note-Taking App by Japanese Resident Physicians: Nationwide Cross-Sectional Study

Evaluating the Use of a Note-Taking App by Japanese Resident Physicians: Nationwide Cross-Sectional Study

Note-taking during learning has long been a mainstay of educational practice and data over the last 60 years, demonstrating its contribution to improved learning and test scores [1,2]. In 1995, a study on effective note-taking among students reported that free note-taking by learners was a particularly effective process [3]. A 2002 report noted that the most effective way for medical students to perform well was to take written notes on materials prepared in advance by the teachers [4].

Taiju Miyagami, Yuji Nishizaki, Taro Shimizu, Yu Yamamoto, Kiyoshi Shikino, Koshi Kataoka, Masanori Nojima, Gautam A Deshpande, Toshio Naito, Yasuharu Tokuda

JMIR Form Res 2025;9:e55087

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

This led to the creation of 2 different scenarios for postpartum hemorrhage, a scenario for eclampsia, a scenario involving fetal distress with a ventouse delivery, and a breech delivery scenario. Both medical-technical and teamwork skills were included in the training, with the difficulty level increasing throughout the day. Every SHO participated in at least 2 scenarios during the 1-day training, while having an observer role in the nonparticipating scenarios.

Anne A C van Tetering, Ella L de Vries, Peter Ntuyo, E R van den Heuvel, Annemarie F Fransen, M Beatrijs van der Hout-van der Jagt, Imelda Namagembe, Josaphat Byamugisha, S Guid Oei

JMIR Med Educ 2025;11:e54911