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Correction: Examining the Effectiveness of Electronic Patient-Reported Outcomes in People With Cancer: Systematic Review and Meta-Analysis

Correction: Examining the Effectiveness of Electronic Patient-Reported Outcomes in People With Cancer: Systematic Review and Meta-Analysis

In Examining the Effectiveness of Electronic Patient-Reported Outcomes in People With Cancer: Systematic Review and Meta-Analysis (J Med Internet Res 2024;26:e49089) the authors (notably the study statistician who conducted the analyses, Calvin Heal) noted an error in formulae used to calculate the SE of the standardized mean difference (SMD). In the Abstract, Results, the following sections: Results: The search identified 10,965 papers, of which 19 (0.17%) from 15 studies were included.

Melissa Betty Perry, Sally Taylor, Binish Khatoon, Amy Vercell, Corinne Faivre-Finn, Galina Velikova, Antonia Marsden, Calvin Heal, Janelle Yorke

J Med Internet Res 2025;27:e72687

Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality–Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study

Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality–Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study

Patients were considered eligible for the study if they were aged 19 to 75 years; had their first ever unilateral stroke, as confirmed by their computed tomography or magnetic resonance imaging records; were experiencing motor impairments in one of the upper limbs, with Brunnstrom stages of stroke recovery of the arm of 3 to 5; had an active range of motion of at least 10° in the shoulder and elbow of the affected arm; could maintain autonomous upright seating for at least 45 minutes; and had normal or corrected-to-normal

Jiayin Chen, Calvin Kalun Or, Zhixian Li, Eric Hiu Kwong Yeung, Tianrong Chen

JMIR Serious Games 2025;13:e49847

Online Health Information Seeking, eHealth Literacy, and Health Behaviors Among Chinese Internet Users: Cross-Sectional Survey Study

Online Health Information Seeking, eHealth Literacy, and Health Behaviors Among Chinese Internet Users: Cross-Sectional Survey Study

While research has examined digital health literacy and health information seeking among specific user segments within China, such as community-dwelling older population [9], rural residents [15], or active social media users [16], and some studies have leveraged nationwide survey samples [6,17], a comprehensive analysis of the broader population’s engagement with online health resources is needed.

Diyi Liu, Shuhang Yang, Calvin Yixiang Cheng, Lin Cai, Jing Su

J Med Internet Res 2024;26:e54135

Ethical Considerations in Infodemic Management: Systematic Scoping Review

Ethical Considerations in Infodemic Management: Systematic Scoping Review

The defined exclusion criteria were as follows: record does not mention social listening or infodemic management (directly or indirectly; see “infodemics (expanded)” in query definition and query v3; or record does not mention outbreak, epidemic, or pandemic; or record does not mention public health, risk to public health, public health emergency, and related concepts [both “acute” and “chronic”]); record does not mention ethics or ethical aspects; and record is not in English We made use of Zotero's automatic

Federico Germani, Giovanni Spitale, Sandra Varaidzo Machiri, Calvin Wai Loon Ho, Isabella Ballalai, Nikola Biller-Andorno, Andreas Alois Reis

JMIR Infodemiology 2024;4:e56307

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study

Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study

If a participant did not respond to an automated or preplanned intervention, the study coordinators could use their discretion to call, SMS text messaging, or email participants to determine and troubleshoot issues with devices or software and other reasons for nonadherence. At the outset of the study, it was assumed that a phone call to the participant from the study coordinator was the highest level of intervention.

William B Nowell, Jeffrey R Curtis, Hong Zhao, Fenglong Xie, Laura Stradford, David Curtis, Kelly Gavigan, Jessica Boles, Cassie Clinton, Ilya Lipkovich, Shilpa Venkatachalam, Amy Calvin, Virginia S Hayes

JMIR Hum Factors 2023;10:e44034

Development and Testing of a Mobile App to Collect Social Determinants of Health Data in Cancer Settings: Interview Study

Development and Testing of a Mobile App to Collect Social Determinants of Health Data in Cancer Settings: Interview Study

This allowed the provider to easily spot if there were unmet social or supportive care SDOH needs that required their attention to assist the patient. Patient-facing social determinants of health screening tool mobile app. We conducted a pilot study of the mobile app prototype with dyads of clinical providers (eg, oncologist, nurse, or nurse practitioner) and patients.

Natasha K Oyedele, Dina G Lansey, Calvin Chiew, Cupid Chan, Harry Quon, Lorraine T Dean

JMIR Form Res 2023;7:e48737

Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

The most common issue has been the nonadoption or abandonment of health apps by consumers [13], indicating a gap between the health app and consumers’ preferences and highlighting the need to understand which characteristics of health apps affect consumer preferences for health apps [14,15].

Zhenzhen Xie, Calvin Kalun Or

JMIR Mhealth Uhealth 2023;11:e25908

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Advances in broadband technology and the Internet of Things have enabled the broad implementation of e Health—the provision or acquisition of health information or services through electronic processes [1-7]. In recent years, a broad spectrum of e Health interventions using various modalities has been developed and examined in health care research.

Zhenzhen Xie, Jiayin Chen, Calvin Kalun Or

J Med Internet Res 2022;24(9):e25959