Search Articles

View query in Help articles search

Search Results (1 to 10 of 268 Results)

Download search results: CSV END BibTex RIS


Understanding Antecedents of Nurses' and Physicians' Workaround Behavior Regarding Hospital Information Systems: Qualitative Interview Study

Understanding Antecedents of Nurses' and Physicians' Workaround Behavior Regarding Hospital Information Systems: Qualitative Interview Study

The theory of planned behavior (TPB) is one of the prominent theories to explain behavior [18] and also lays the foundation for Alters’ theory of workarounds [5]. TPB allows for the concentration on explaining why an intention to engage in a certain human behavior is formed in a specific context. Workarounds depict a behavior that an individual performs to achieve a goal or task when the normal course of action is unavailable or unsuccessful.

Eileen Doctor, Jasmin Hennrich, Torsten Eymann, Christoph Buck

J Med Internet Res 2025;27:e51781

Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

This is also reflected in cluster 1’s increased message volume and messaging behavior, most likely highlighting their role in clinical decision-making. However, such a centralized communication structure may also increase physicians’ workload and cognitive burden arising from an increased messaging volume [57]. Similarly, there was one cluster (cluster 4) of nurses and medical assistants who had fewer connections and were not as central within the network.

Laura Rosa Baratta, Linlin Xia, Daphne Lew, Elise Eiden, Y Jasmine Wu, Noshir Contractor, Bruce L Lambert, Sunny S Lou, Thomas Kannampallil

JMIR Med Inform 2025;13:e66544

eHealth Literacy and Its Outcomes Among Postsecondary Students: Systematic Review

eHealth Literacy and Its Outcomes Among Postsecondary Students: Systematic Review

In this context, Barello et al [33] applied the PHE model and found that e Health interventions can effectively promote students’ health behavior engagement by targeting these dimensions and supporting incremental change. The model has also been used to examine self-management engagement in individuals with chronic conditions such as diabetes and heart failure [32,34].

Qin Li, Fang Fang, Yan Zhang, Jiayuan Tu, Pingting Zhu, Lijuan Xi

J Med Internet Res 2025;27:e64489

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Given the importance of incorporating behavior change mechanisms to promote positive health behaviors, CBT is regarded as a fundamental therapeutic component in the delivery of m Health apps for individuals experiencing mental health challenges. In this context, Tudor-Sfetea et al [24] found that compared with non-CBT-based interventions, CBT-based digital interventions are associated with greater user engagement and sustained app use, both of which contributed to facilitating behavioral change.

Kengo Yokomitsu, Riki Oimatsu, Sean Han Yang Toh, Oliver Sündermann

JMIR Mhealth Uhealth 2025;13:e60871

Effectiveness of Digital Behavioral Activation Interventions for Depression and Anxiety: Systematic Review and Meta-Analysis

Effectiveness of Digital Behavioral Activation Interventions for Depression and Anxiety: Systematic Review and Meta-Analysis

A total of three major types of digital BA interventions were identified across studies: (1) i BA interventions that deliver web-based therapies through self-guided or minimally guided digital platforms that help patients with depression develop new behavioral activities; (2) electronic messaging-based BA interventions that use messaging technologies to deliver periodic prompts and support via SMS, email, or app notifications to encourage behavior change: and (3) telehealth-based BA interventions that offer real-time

Eric Jia, Jushawn Macon, Michelle Doering, Joanna Abraham

J Med Internet Res 2025;27:e68054

Collecting Real-Life Psychophysiological Data via Wearables to Better Understand Child Behavior in a Children’s Psychiatric Center: Mixed Methods Study on Feasibility and Implementation

Collecting Real-Life Psychophysiological Data via Wearables to Better Understand Child Behavior in a Children’s Psychiatric Center: Mixed Methods Study on Feasibility and Implementation

Second, all agitated and potentially aggressive behaviors were documented by independent observers (research interns) or staff (clinical staff and teachers), including the timeframe and specific description of the behavior. Aggressive behavior was coded according to the behavior program coding schema (“traffic light model”) as used in the daycare and clinic (see Table 1). “Green” behavior was classified as normal or very good behavior (eg, receiving a compliment for correct behavior).

Karin Hagoort, Kirsten Smeets, Saskia Koldijk, Floortje Scheepers, Fleur Velders

JMIR Form Res 2025;9:e65559

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

This is attributed to the varying functionalities that are accessible and the absence of support for these functionalities in influencing user behavior. Research has indicated that the integration of behavior change theory offers the potential for both positive behavior modification and amelioration of negative emotions [14]. Behavior modification approaches are comprised of three essential components: goals and planning, feedback and monitoring, and repetition and replacement [15].

Dian Zhu, Jianan Zhao, Tong Wu, Beiyao Zhu, Mingxuan Wang, Ting Han

JMIR Mhealth Uhealth 2025;13:e63022

Boosting Blood Donations Through Facebook Engagement: Randomized Controlled Field Trial

Boosting Blood Donations Through Facebook Engagement: Randomized Controlled Field Trial

Despite the acknowledged importance of social media in the field of blood donation, only 1 recent study has tested its effects on donation behavior using a design that allows for causal conclusions. Harrell et al [9] examined the impact of the Facebook blood donation tool—which connects users to nearby donation locations—by comparing blood donation data across areas with different rollout dates of the tool.

Steven Ramondt, Peter Kerkhof, Eva-Maria Merz

J Med Internet Res 2025;27:e64740

Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review

Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review

Studies were excluded if they reported on the development or design of a digital health intervention without reporting on its effectiveness on the behavioral outcomes of Indigenous women and children, reported on mixed Indigenous and non-Indigenous populations without reporting subgroup data, or applied the intervention directly to children with the intention to change maternal behavior.

Sana Ishaque, Ola Ela, Anna Dowling, Chris Rissel, Karla Canuto, Kerry Hall, Niranjan Bidargaddi, Annette Briley, Claire T Roberts, Billie Bonevski

J Med Internet Res 2025;27:e57019

Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

On March 6, 2013, the National Institute of Mental Health (NIMH) released a request for applications titled “Advancing Eating Disorders Research through Dimensional Studies of Biology and Behavior (R01)” to stimulate research using the Research Domain Criteria (RDo C) framework to identify mechanisms underlying eating disorders. In response, our team submitted an application that addressed key requirements.

Pamela K Keel, Lindsay P Bodell, Sarrah I Ali, Austin Starkey, Jenna Trotta, J Woody Luxama, Chloé Halfhide, Naomi G Hill, Jonathan Appelbaum, Diana L Williams

JMIR Res Protoc 2025;14:e66554