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Feasibility, Barriers, and Facilitators of Long-Term Physical Activity Tracking During Treatment: Interview Study Among Childhood Cancer Patients

Feasibility, Barriers, and Facilitators of Long-Term Physical Activity Tracking During Treatment: Interview Study Among Childhood Cancer Patients

There is limited knowledge about the feasibility and wearing experiences of long-term physical activity tracking using smartwatches during different phases of childhood cancer treatment [31]. Therefore, the aim of this study was to determine the feasibility and to identify barriers, facilitators, and key considerations of real-time and long-term physical activity tracking using a consumer-level smartwatch in children during cancer treatment.

Emma den Hartog, Wim J E Tissing, Sebastian B B Bon, Patrick van der Torre, Emma J Verwaaijen

JMIR Pediatr Parent 2025;8:e75322


Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review

Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review

Technical issues (eg, sensor malfunction and inconsistent data sampling) or a lack of user engagement and compliance (eg, not wearing a device and disabling tracking) can lead to data attrition. Missing data can compromise prediction quality, but only 1 of the included studies [66] reported both adherence rates and handling of missing data during analysis.

Rebeka Amin, Simon Schreynemackers, Hannah Oppenheimer, Milica Petrovic, Ulrich Hegerl, Hanna Reich

J Med Internet Res 2025;27:e57418


Identifying Adaptations to an mHealth Alcohol Reduction Intervention for Reducing Alcohol Use in Adolescent and Young Adult Cancer Survivors: Qualitative Study

Identifying Adaptations to an mHealth Alcohol Reduction Intervention for Reducing Alcohol Use in Adolescent and Young Adult Cancer Survivors: Qualitative Study

The original Tracking and Reducing Alcohol Consumption (TRAC) intervention was designed as an alcohol reduction intervention for individuals living with HIV. It focused on increasing motivation to reduce hazardous drinking and awareness of drinking behaviors, building skills to reduce alcohol use, and identifying general triggers for drinking. In this original intervention, there was minimal discussion surrounding potential HIV-specific triggers for drinking [14].

Kimberly Haney, Tia Borger, Vilma Bursac, Caryn Sorge, Brent Shelton, John Salsman, Laurie McLouth, Carolyn Lauckner

JMIR Cancer 2025;11:e59949


Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

This study examined the association between using virtual nursing and virtual nurse fatigue using eye-tracking technology. Eye-tracking technology provides real-time insights into cognitive workload and cognitive fatigue by recording eye movements during different states and activities. Pupil size in particular can be an indicator of cognitive workload, where an increase in pupil dilation corresponds to information processing [18,19].

Saif Khairat, Jennifer Morelli, Wan-Ting Liao, Julia Aucoin, Barbara S Edson, Cheryl B Jones

JMIR Hum Factors 2025;12:e67111


Experiences of Wheelchair Users With Spinal Cord Injury With Self-Tracking and Commercial Self-Tracking Technology (“In Our World, Calories Are Very Important”): Qualitative Interview Study

Experiences of Wheelchair Users With Spinal Cord Injury With Self-Tracking and Commercial Self-Tracking Technology (“In Our World, Calories Are Very Important”): Qualitative Interview Study

The objective of this study is to build on previous research on self-tracking and self-tracking technology among wheelchair users with SCI [5-7,11] to include lived experience of self-tracking and self-tracking technology. Through an interview study, we aimed to answer the following question: How do wheelchair users with SCI experience self-tracking and commercial self-tracking technology in their everyday lives? This section first provides an overview of SCI and the impact of the injury on people’s lives.

Vasiliki Mylonopoulou, Katerina Cerna, Alexandra Weilenmann, Mattias Rost, Tobias Holmlund

JMIR Hum Factors 2025;12:e65207


Tracking Implementation Outcomes of an Intensive Case Management Program for HIV: Protocol for a Mixed Methods Study

Tracking Implementation Outcomes of an Intensive Case Management Program for HIV: Protocol for a Mixed Methods Study

Outcome tracking in implementation science enables researchers, practitioners, and policy makers to understand the effectiveness of interventions, identify barriers and facilitators to implementation, and refine strategies to improve the delivery and impact of evidence-based practices [12]. Implementation science outcome tracking is especially crucial for ICM programs.

Meron Mengistu, Kris Tom, Liben Gebremikael, Notisha Massaquoi, Obidimma Ezezika

JMIR Res Protoc 2024;13:e57452


Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

A comprehensive and integrated implementation of a clinical trial management system in addition to wearable and m Health integrations would allow the tracking of the study based on its specified recruitment needs, guarantee that the study starts and ends on time, make sure the necessary action has been taken at participants’ specialized milestones, and minimize study costs [32].

I Wayan Pulantara, Yuhan Wang, Lora E Burke, Susan M Sereika, Zhadyra Bizhanova, Jacob K Kariuki, Jessica Cheng, Britney Beatrice, India Loar, Maribel Cedillo, Molly B Conroy, Bambang Parmanto

JMIR Mhealth Uhealth 2024;12:e50043