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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

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

A scoping review of single-camera MMC models used in health care highlighted the significant potential for use in clinical applications but also noted the need to improve their tracking accuracy [12]. A previous systematic review of MMC-based training devices used in neurological rehabilitation found that these devices improve motivation and enable better functional performance potentially due to the gaming element [13].

Julian Jeyasingh-Jacob, Mark Crook-Rumsey, Harshvi Shah, Theresita Joseph, Subati Abulikemu, Sarah Daniels, David J Sharp, Shlomi Haar

JMIR Aging 2024;7:e52582

Development of a Digital Patient Assistant for the Management of Cyclic Vomiting Syndrome: Patient-Centric Design Study

Development of a Digital Patient Assistant for the Management of Cyclic Vomiting Syndrome: Patient-Centric Design Study

Some digital health apps and wearables for functional gastroenterological disorders such as Bowelle (Bowelle AB) and Ab Stats (Alpha Logic, Inc) have been developed; however, they only offer stand-alone tracking and symptomatic management, thus leaving a need for a multicomponent customized approach for patients with CVS [21].

Gaurav Narang, Yaozhu J Chen, Nicole Wedel, Melody Wu, Michelle Luo, Ashish Atreja

JMIR Form Res 2024;8:e52251

Efficacy of the Flo App in Improving Health Literacy, Menstrual and General Health, and Well-Being in Women: Pilot Randomized Controlled Trial

Efficacy of the Flo App in Improving Health Literacy, Menstrual and General Health, and Well-Being in Women: Pilot Randomized Controlled Trial

Due to recruitment issues in trial 1, very low numbers of eligible participants were recruited in the pregnancy tracking group, and an extremely low number of participants completed the study in the TTC group. We therefore deviated from the preregistered study design by excluding these groups from the further analyses and focused only on the cycle tracking group.

Adam C Cunningham, Carley Prentice, Kimberly Peven, Aidan Wickham, Ryan Bamford, Tara Radovic, Anna Klepchukova, Maria Fomina, Katja Cunningham, Sarah Hill, Liisa Hantsoo, Jennifer Payne, Liudmila Zhaunova, Sonia Ponzo

JMIR Mhealth Uhealth 2024;12:e54124

Comparison of Self-Tracking Health Practices, eHealth Literacy, and Subjective Well-Being Between College Students With and Without Disabilities: Cross-Sectional Survey

Comparison of Self-Tracking Health Practices, eHealth Literacy, and Subjective Well-Being Between College Students With and Without Disabilities: Cross-Sectional Survey

Significant statistical differences were found between the 2 groups when comparing the mean scores of the e HEALS (t411=–2.22, P=.03) and FS (t411=–4.54, P The main characteristics of self-tracking health practices among the 563 respondents—72 college students with disabilities (86.8%) and 491 college students without disabilities (79.3%)—who reported engaging in self-tracking health are as follows.

Soyoung Choi

JMIR Form Res 2024;8:e48783