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Integration of a Mental Health App (e-MICHI) Into a Blended Treatment of Depression in Adolescents: Single-Group, Naturalistic Feasibility Trial

Integration of a Mental Health App (e-MICHI) Into a Blended Treatment of Depression in Adolescents: Single-Group, Naturalistic Feasibility Trial

The statistical test interpretation was exploratory, except for the trends of efficacy outcomes for which this study was powered. A total of 61 participants were assessed for eligibility in this study. While informed consent was obtained from 57 individuals, 6 (11%) participants did not commence with the program. A further 15 (26%) participants dropped out (Figure 2).

Lena Lincke, Tim Martin-Döring, Andrea Daunke, Antonia Sadkowiak, Daria Alexandra Nolkemper, Nina Sproeber-Kolb, Stefanie Bienioschek, Olaf Reis, Michael Kölch

JMIR Form Res 2025;9:e58427

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

In fact, supervised machine learning models have demonstrated efficacy in predicting various surgical outcomes, including patient survival, symptom improvement, and disease progression [7-9]. This efficacy is particularly evident when using datasets that integrate patient health care information and biological assessments.

Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

JMIR Form Res 2025;9:e59631

Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

However, the efficacy of these treatments remains controversial [16]. Moreover, they are often costly and may lead to adverse reactions such as gastrointestinal dysfunction, as well as liver and kidney damage. Patients undergoing these therapies are also at risk of relapse after discontinuing treatment. Therefore, there is an urgent need for safe and effective treatment options for CFS.

Bin Wang, Xiaodong Zhang, Ping Lu, Pingping Sun, Tianxiang He

JMIR Res Protoc 2025;14:e65958

The Efficacy of Virtual Reality on the Rehabilitation of Musculoskeletal Diseases: Umbrella Review

The Efficacy of Virtual Reality on the Rehabilitation of Musculoskeletal Diseases: Umbrella Review

This review of existing meta-analyses aims to evaluate the efficacy of VR interventions on musculoskeletal disorders and assess the consistency of evidence from these studies. By providing decision-makers with a comprehensive source of high-quality research, this umbrella review seeks to methodically integrate relevant outcomes to create an extensive evidence base. An umbrella review was conducted to assess and compile evidence from multiple meta-analyses [9,10].

Peiyuan Tang, Yangbin Cao, Djandan Tadum Arthur Vithran Vithran, Wenfeng Xiao, Ting Wen, Shuguang Liu, Yusheng Li

J Med Internet Res 2025;27:e64576

Efficacy of an Intelligent and Integrated Older Adult Care Model on Quality of Life Among Home-Dwelling Older Adults: Randomized Controlled Trial

Efficacy of an Intelligent and Integrated Older Adult Care Model on Quality of Life Among Home-Dwelling Older Adults: Randomized Controlled Trial

The simplified Chinese version of the Modified Fall Efficacy Scale (MFES) was used to evaluate the confidence in avoiding falls. This self-assessment scale comprises 14 items to quantitatively examine the degree of perceived self-efficacy in avoiding falling during basic activities, ranging from 0 (no confidence) to 10 (absolute confidence) [25]. The average score of each item is regarded as the final MFES score. A lower total score indicates lower confidence and a higher fear of falling.

Rongrong Guo, Jiwen Zhang, Fangyu Yang, Ying Wu

J Med Internet Res 2025;27:e67950

Trustworthiness of Web-Based Pharmacy Apps in Pakistan Based on the Mobile App Rating Scale: Content Analysis and Quality Evaluation

Trustworthiness of Web-Based Pharmacy Apps in Pakistan Based on the Mobile App Rating Scale: Content Analysis and Quality Evaluation

Moreover, the robust association shown in prior research between the MARS sum score and the individual’s star rating suggests its efficacy in reflecting the overall perceived excellence [14]. Each reviewer conducted an independent evaluation of all the elements under the criteria of MARS for each of the apps. The average rating for each item within each app was computed using the numbers supplied by both evaluators.

Anum Sattar, Hina Rehman, Safila Naveed, Sumaira Khadim, Nargis Khan, Ahmad Furqan Kazi, Wajid Syed, Mahmood Basil A Al-Rawi, Shazia Jamshed

JMIR Mhealth Uhealth 2025;13:e59884

The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis

The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis

Factors such as complicated regimens, insufficient monitoring, poor communication, a lack of community support, mental health concerns, drug efficacy views, adverse effects, and financial load might contribute to nonadherence to oral SACT [6]. Clinicians may also neglect to mention the need for adherence and possible adverse effects, and patients may not have an adequate support system or understand the necessity of the medication [12].

Wan-Chuen Liao, Fiona Angus, Jane Conley, Li-Chia Chen

JMIR Cancer 2025;11:e64208

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Consecutively, action planning, self-efficacy, and action control are proposed to affect the enactment of these health behavior intentions. Therefore, all of these are promising targets for health interventions [10-12]. Various studies analyzed self-efficacy and behavioral driving models during home-based rehabilitation [13-16], indicating that there is a huge potential for addressing psychological drivers in digital technologies used in cardiac rehabilitation.

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025;13:e57413

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

First, the efficacy of antipsychotic medication for the treatment of positive symptoms of psychosis is not optimal. For example, while commonly prescribed antipsychotics can be significantly more effective than placebo, these medications are accompanied by side effects such as weight gain, sedation, and extrapyramidal symptoms which lead to high incidences of patient nonadherence [2].

Jessica Spark, Elise Rowe, Mario Alvarez-Jimenez, Imogen Bell, Linda Byrne, Ilvana Dzafic, Carli Ellinghaus, Suzie Lavoie, Jarrad Lum, Brooke McLean, Neil Thomas, Andrew Thompson, Greg Wadley, Thomas Whitford, Stephen Wood, Hok Pan Yuen, Barnaby Nelson

JMIR Res Protoc 2025;14:e63405