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Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

The fourth author’s name has been corrected from: Chu-Hsiang Huang to: Chun-Hsiang Huang Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from: 3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan to: 3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan Edward Pei-Chuan Huang’s affiliation has also been updated from: 3 Department of Emergency Medicine, National

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chun-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025;4:e76150

Effect of Digital Exercise Therapy on the Pain and Physical Function of Patients With Osteoarthritis: Systematic Review and Meta-Analysis

Effect of Digital Exercise Therapy on the Pain and Physical Function of Patients With Osteoarthritis: Systematic Review and Meta-Analysis

Our findings align with a previous review of digital therapeutic tools for exercise programs in knee OA [38], which reported significant pain improvements in 10 of 11 studies but did not address long-term outcomes. This underscores the potential of digital modalities for short-term symptom management while highlighting the need for strategies to prolong therapeutic effects. The loss of effect at follow-up is an important finding that warrants further exploration.

Jing Long, Jikai You, Yanan Yang

J Med Internet Res 2025;27:e66037

Mobile Health App for Adolescent Asthma Self-Management: Development and Usability Study of the Pulmonary Education and Knowledge Mobile Asthma Action Plan

Mobile Health App for Adolescent Asthma Self-Management: Development and Usability Study of the Pulmonary Education and Knowledge Mobile Asthma Action Plan

Longitudinal studies are needed to assess sustained usage and long-term effectiveness. Furthermore, as the efficacy of PEAK-m AAP has not yet been tested through an RCT, conclusions regarding its impact on clinical outcomes remain speculative at this stage. This study presents the design, development, and usability evaluation of PEAK-m AAP, a hybrid m Health intervention designed to support asthma self-management in adolescents.

Xing He, Jiang Bian, Ariel Berlinski, Yi Guo, A Larry Simmons, S Alexandra Marshall, Carolyn J Greene, Rita Hudson Brown, Jessica Turner, Tamara T Perry

JMIR Form Res 2025;9:e64212

Health Care Providers’ Experiences and Perceptions With Telehealth Tools in a Hospital-at-Home Program: Mixed Methods Study

Health Care Providers’ Experiences and Perceptions With Telehealth Tools in a Hospital-at-Home Program: Mixed Methods Study

Existing studies that have explored health care provider experiences with telehealth use have primarily focused on routine follow-up in outpatient clinics [18-20], long-term care [21,22], and palliative setting [23] rather than in the Ha H setting caring for acutely ill patients.

Shi Yun Low, Stephanie Qianwen Ko, Ian Yi Han Ang

JMIR Hum Factors 2025;12:e56860

A Mobile App–Based Intervention (Parentbot–a Digital Healthcare Assistant) for Parents: Secondary Analysis of a Randomized Controlled Trial

A Mobile App–Based Intervention (Parentbot–a Digital Healthcare Assistant) for Parents: Secondary Analysis of a Randomized Controlled Trial

Poor psychological health among parents can cause long-term physical, psychosocial, and emotional developmental problems among their children [6,7]. Singapore has recently declared perinatal depression among mothers as a public health concern [8]. Fathers in Singapore have also reported signs of perinatal stress and anxiety [9]. Hence, parents in Singapore require support during the perinatal period.

Joelle Yan Xin Chua, Mahesh Choolani, Cornelia Yin Ing Chee, Huso Yi, Joan Gabrielle Lalor, Yap Seng Chong, Shefaly Shorey

J Med Internet Res 2025;27:e64882

Effectiveness of Mobile Apps in Improving Medication Adherence Among Chronic Kidney Disease Patients: Systematic Review

Effectiveness of Mobile Apps in Improving Medication Adherence Among Chronic Kidney Disease Patients: Systematic Review

Managing CKD involves long-term care, with medication adherence being a pivotal aspect [2]. Unfortunately, patients with CKD often struggle with medication adherence, leading to adverse health outcomes and increased health care costs [3-5]. Several factors contribute to nonadherence, such as complex medication regimens, forgetfulness, lack of understanding about the importance of adherence, and limited patient-provider communication [6].

Ganesh Sritheran Paneerselvam, Pei Lin Lua, Wen Han Chooi, Inayat Ur Rehman, Khang Wen Goh, Long Chiau Ming

J Med Internet Res 2025;27:e53144

Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore

Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore

At the same time, it is important to continuously monitor and evaluate the effectiveness and cost-effectiveness of the program in the long run. Worldwide, there is a growing interest in using real-world data to inform regulatory and reimbursement decisions. Several challenges exist when using real-world data and need to be dealt with [27,28]. First, data quality varies in the real-world setting. Low-quality data could render the results obtained invalid.

Yi Wang, Shilpa Tyagi, David Wei Liang Ng, Valerie Hui Ying Teo, David Kok, Dennis Foo, Gerald Choon-Huat Koh

J Med Internet Res 2025;27:e59275