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Centering Youth Voice in the Adaptation of an mHealth Intervention for Young Adults With HIV in South Texas, United States: Human-Centered Design Approach

Centering Youth Voice in the Adaptation of an mHealth Intervention for Young Adults With HIV in South Texas, United States: Human-Centered Design Approach

In addition, 3 researchers (CJ, AC, and NMH) were present for interviews and a modified system usability scale guided conversation [27]. The Think-Aloud participants reviewed each aspect and function of a previous version of the app by walking through it on their phones in real time, providing suggestions for possible design changes and usability improvement. Adaptation recommendations were categorized by ease of implementation and frequency.

Nhat Minh Ho, Catherine Johnson, Autumn Chidester, Ruby Viera Corral, Jacundo Ramos, Miguel Garcia, Rishi Gonuguntla, Cyrena Cote, Divya Chandramohan, Hueylie Lin, Anna Taranova, Ank E Nijhawan, Susan Kools, Karen Ingersoll, Rebecca Dillingham, Barbara S Taylor

JMIR Form Res 2025;9:e60531

Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool

Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool

The direct input of family caregivers and other stakeholders into the content, structure, and handling of the digital assessment system provides crucial feedback regarding its content validity as well as comprehensiveness and technical usability. Through a greater level of involvement of stakeholders, health care services can be improved and be more applicable in real-world clinical settings and facilitate implementation [19].

Olga A Biernetzky, Jochen René Thyrian, Melanie Boekholt, Matthias Berndt, Wolfgang Hoffmann, Stefan J Teipel, Ingo Kilimann

JMIR Aging 2025;8:e59942

User-Centered Design of an Electronic Dashboard for Monitoring Facility-Level Basic Emergency Obstetric Care Readiness in Amhara, Ethiopia: Mixed Methods Study

User-Centered Design of an Electronic Dashboard for Monitoring Facility-Level Basic Emergency Obstetric Care Readiness in Amhara, Ethiopia: Mixed Methods Study

In addition, 3 usability heuristics specific to information visualizations in the dashboards were included: spatial organization, information coding, and orientation [19]. Usability heuristics and their definitions used in the heuristic usability evaluation. a HIT: health information technology. Severity ratings for usability violations in the heuristic evaluation.

Kylie Dougherty, Yihenew Tesfaye, Heran Biza, Mulusew Belew, Natalie Benda, Abebe Gebremariam Gobezayehu, John Cranmer, Suzanne Bakken

JMIR Hum Factors 2025;12:e64131

Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study

Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study

The second stage, alpha testing, was focused on identifying and resolving general usability issues, ensuring data transfer integrity, collecting evidence on digital ergonomics and usability perception, and evaluating the app’s content validity through an expert panel [37].

Juan Pablo Sanchez-Escudero, David Aguillon, Stella Valencia, Mauricio A Garcia-Barrera, Daniel Camilo Aguirre-Acevedo, Natalia Trujillo

JMIR Serious Games 2025;13:e66167

Medical Device Based on a Virtual Reality–Based Upper Limb Rehabilitation Software: Usability Evaluation Through Cognitive Walkthrough

Medical Device Based on a Virtual Reality–Based Upper Limb Rehabilitation Software: Usability Evaluation Through Cognitive Walkthrough

Although not all user errors result from design flaws, usability evaluations conducted before commercialization can effectively mitigate design-related issues [8,9]. Usability engineering processes play a vital role in identifying and addressing predictable user errors in clinical environments, ensuring the safety and efficiency of medical devices [10,11]. Usability evaluations can be categorized as formative or summative, depending on the timing and purpose of the evaluation [12].

Seojin Hong, Hyun Choi, Hyosun Kweon

JMIR Form Res 2025;9:e68149

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

To allow for meaningful comparisons of feedback, our recruitment strategy aimed to include participants with varying levels of experience using the Pro Herz app, aligning with best practices in end-user and usability testing. Medical experts were recruited through Pro Carement, where they interact with the Pro Herz users in their daily work. All experts were nurses with long-term experience in heart failure care.

Madeleine Flaucher, Sabrina Berzins, Katharina M Jaeger, Michael Nissen, Jana Rolny, Patricia Trißler, Sebastian Eckl, Bjoern M Eskofier, Heike Leutheuser

JMIR Hum Factors 2025;12:e56798

Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Usability was assessed using the System Usability Scale (SUS). The SUS is a validated usability questionnaire that has been used in clinical settings to assess the usability of various systems and tools [33,34]. The SUS includes 10 statements rated on a 5-point Likert scale (from 1=strongly disagree to 5=strongly agree). The score ranges from 0 to 100 with a score higher than 70 being considered acceptable [35].

Meaghan E Kavanagh, Laura Chiavaroli, Selina M Quibrantar, Gabrielle Viscardi, Kimberly Ramboanga, Natalie Amlin, Melanie Paquette, Sandhya Sahye-Pudaruth, Darshna Patel, Shannan M Grant, Andrea J Glenn, Sabrina Ayoub-Charette, Andreea Zurbau, Robert G Josse, Vasanti S Malik, Cyril W C Kendall, David J A Jenkins, John L Sievenpiper

JMIR Cardio 2025;9:e58124

Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study

Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study

The System Usability Scale (SUS) [37] was used for this purpose. It is a methodological tool similar to the Likert Scale that measures the usability of an object, device, and application. The scale consists of 10 questions that can be scored from 1 to 5, where 1 means “Strongly disagree” and 5 means “Strongly agree” (Multimedia Appendix 1).

Rocío Martín-Valero, Alejandro Vega-Morales Sr, Francisco Javier Martín-Vega, Manuel Rodriguez-Huguet, Maria Carmen Rodríguez-Martínez, Maria Jesus Vinolo-Gil

JMIR Serious Games 2025;13:e54312

User Experience of a Bespoke Videoconferencing System for Web-Based Family Visitation for Patients in an Intensive Care Unit: 1-Year Cross-Sectional Survey of Nursing Staff

User Experience of a Bespoke Videoconferencing System for Web-Based Family Visitation for Patients in an Intensive Care Unit: 1-Year Cross-Sectional Survey of Nursing Staff

The validated Telehealth Usability questionnaire (TUQ) was used with minor modifications to capture relevant information to the specific use case [13]. The modified questionnaire (m TUQ) was developed with input from clinicians, engineers, a medical physicist, and a senior intensive care nurse. The survey consisted of 40 questions in total.

Aoife Murray, Irial Conroy, Frank Kirrane, Leonie Cullen, Hemendra Worlikar, Derek T O'Keeffe

JMIR Hum Factors 2025;12:e54560

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Finally, we trained a supervised machine learning model and developed pathways (D) to classify individuals using features most consistently linked to CCP subgroups before evaluating its diagnostic validity and usability on an external cohort. Pathologically abnormal diagnoses consisted of CIN1, CIN2, CIN3, and carcinoma.

Zhen Lu, Binhua Dong, Hongning Cai, Tian Tian, Junfeng Wang, Leiwen Fu, Bingyi Wang, Weijie Zhang, Shaomei Lin, Xunyuan Tuo, Juntao Wang, Tianjie Yang, Xinxin Huang, Zheng Zheng, Huifeng Xue, Shuxia Xu, Siyang Liu, Pengming Sun, Huachun Zou

JMIR Public Health Surveill 2025;11:e67840