Search Articles

View query in Help articles search

Search Results (1 to 10 of 101 Results)

Download search results: CSV END BibTex RIS


Usability and Quality of the JoyPop App: Prospective Evaluation Study

Usability and Quality of the JoyPop App: Prospective Evaluation Study

Several resources are now available to locate, assess, and regulate the quality of mental health apps, such as app rating guidelines and platforms [37,54,55]. For example, the Mobile Health App Database (MHAD) rating platform provides quality ratings for a wide variety of mental health apps to help guide users and health care providers in selecting quality apps [54,56].

Ishaq Malik, Teagan Neufeld, Aislin Mushquash

JMIR Hum Factors 2025;12:e65472

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Accordingly, research on the quality evaluation of mental health apps is actively underway in many countries. Although such evaluations exist, they often emphasize expert perspectives, highlighting the need for more user-centered research to assess satisfaction and usability [15-17].

Siyeon Ko, Hyekyung Woo

JMIR Mhealth Uhealth 2025;13:e64622

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation

Machine learning and deep learning methodologies offer significant potential for ensuring quality. Nalbach et al [10] describe data-driven estimations of data quality as predictive quality. The extraction of data and its relation to quality metrics—such as completeness, consistency, correctness, and correspondence [11], enables data-driven quality assessment based on historical data.

Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

JMIR Med Inform 2025;13:e60204

Developing Balanced Quality Indicators for Monitoring Virtual Care in Ambulatory Care Environments: Modified Delphi Panel Process

Developing Balanced Quality Indicators for Monitoring Virtual Care in Ambulatory Care Environments: Modified Delphi Panel Process

Assessing the quality of virtual care is integral to ascertain, as it can influence the effectiveness of treatment and adherence to provider-recommended care plans [14]. To address this gap, a balanced scorecard for virtual care could provide a set of quality indicators to guide performance assessments across broad quality domains [15,16].

Samuel Petrie, Oluwatoni Makanjuola, Celia Laur, Emeralda Burke, Patricia Rios, Onil Bhattacharyya, Geetha Mukerji

J Med Internet Res 2025;27:e38657

Integrating CEN ISO/TS 82304-2 in the Catalan Health App Assessment Framework: Comparative Case Study

Integrating CEN ISO/TS 82304-2 in the Catalan Health App Assessment Framework: Comparative Case Study

The analysis addressed qualitatively and descriptively the (1) rationale for assessment, (2) assessment framework characteristics, (3) assessment framework governance, (4) certification workflows and techniques used, (5) quality aspects and subaspects of each framework, and (6) quality requirements (or criteria).

Berta Llebot Casajuana, Petra Hoogendoorn, Maria Villalobos-Quesada, Carme Pratdepàdua Bufill

JMIR Mhealth Uhealth 2025;13:e67858

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

In addition, an understanding of the quality appraisal methods is important, as they serve as potential moderators of the quality of information and advice provided. The objective of this scoping review was to map and summarize evidence about the quality of information and advice in online peer support groups across a range of health conditions and to review the available tools used to assess the quality of such information and advice.

Bethan M Treadgold, Neil S Coulson, John L Campbell, Jeffrey Lambert, Emma Pitchforth

J Med Internet Res 2025;27:e71140

Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care

Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care

Hospitals around the world face multiple challenges related to the accessibility, affordability, and quality of health care systems—particularly in the Netherlands and other European countries [1,2]. The way current health care systems are organized is unsustainable, in terms of both labor capacity and financial viability [3].

Tanja Schiffelers, Kaya Kapteijns, Laura Hochstenbach, Bas Kietselaer, Esther Talboom-Kamp, Marieke Spreeuwenberg

J Med Internet Res 2025;27:e63576

Improving Safety, Efficiency, Cost, and Satisfaction Across a Musculoskeletal Pathway Using the Digital Assessment Routing Tool for Triage: Quality Improvement Study

Improving Safety, Efficiency, Cost, and Satisfaction Across a Musculoskeletal Pathway Using the Digital Assessment Routing Tool for Triage: Quality Improvement Study

The following Quality Improvement Study was designed, conducted, and reported in accordance with the Standards for Quality Improvement Reporting Excellence Framework (SQUIRE 2.0) [1]. Musculoskeletal (MSK) conditions are prevalent and increasing, associated with an aging population and reducing levels of physical activity in Western-style economies [2,3].

Cabella Lowe, Laura Atherton, Peter Lloyd, Anna Waters, Dylan Morrissey

J Med Internet Res 2025;27:e67269

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

However, given that Chat GPT was not explicitly trained for oncology-related inquiries, the quality of the information it provides remains unverified [7,14,36]. Evaluating the quality of responses is crucial, as misinformation can foster a false sense of knowledge and security, lead to noncompliance, and result in delays in receiving appropriate treatment [4,14,15]. Nevertheless, various limitations of Chat GPT have been identified.

Ana Grilo, Catarina Marques, Maria Corte-Real, Elisabete Carolino, Marco Caetano

JMIR Cancer 2025;11:e63677

Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan’s Hospital Emergency Capability Categorization Policy

Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan’s Hospital Emergency Capability Categorization Policy

The Agency for Healthcare Research and Quality proposed the concept of time-sensitive diseases [1] using scientific data to maintain up-to-date guidelines and launched the Get with the Guidelines campaign to establish it as the basis for surveillance indicators of process and outcome quality [2]. Critical time-sensitive diseases (CTSDs) refer to life-threatening illnesses or injuries that require immediate emergency care, where rapid intervention is paramount to mitigate morbidity and mortality [3].

Chih-Yuan Lin, Chih-Ching Liu, Yu-Tung Huang, Yue-Chune Lee

Interact J Med Res 2025;14:e54651