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Collecting at-Home Biometric Measures for Longitudinal Research From the i3C: Feasibility and Acceptability Study

Collecting at-Home Biometric Measures for Longitudinal Research From the i3C: Feasibility and Acceptability Study

Greater success with a device was generally not correlated with higher acceptability ratings. This analysis was limited by the fact that participants completing few or no readings were less likely to complete the acceptability survey. Mean user acceptability score stratified by device. Our study demonstrated that, with careful implementation, collecting at-home biometric measures is feasible and generally acceptable to participants in a longitudinal study.

Marta Russell, Erin Cain, Lydia Bazzano, Ileana De Anda, Jessica G Woo, Elaine M Urbina

JMIR Hum Factors 2025;12:e71103

Telehealth Modality Preferences for Video and Voice-Only Visits Among US Clinicians and the Public: Cross-Sectional, Web-Based Survey Study

Telehealth Modality Preferences for Video and Voice-Only Visits Among US Clinicians and the Public: Cross-Sectional, Web-Based Survey Study

Our findings are consistent with previous literature demonstrating both the general acceptability of telehealth services [8] and a patient preference for telehealth use with a familiar clinician over an unknown clinician [3]. While many members of the public still prefer in-person visits to telehealth [22], we demonstrate that telehealth offers an acceptable and accessible service for those who prefer it.

Rachel C Forcino, Julie K Johnson, Glyn Elwyn

J Med Internet Res 2025;27:e72276

Using Ecological Momentary Assessment to Assess Family Functioning in Spanish-Speaking Parent and Adolescent Dyads: Daily Questionnaire Study

Using Ecological Momentary Assessment to Assess Family Functioning in Spanish-Speaking Parent and Adolescent Dyads: Daily Questionnaire Study

An additional limitation of existing EMA research is the limited evidence available on EMA protocols being implemented and tested for feasibility and acceptability in Spanish-speaking (monolingual and bilingual) populations (ie, English and Spanish) [18].

Alejandra Fernandez, Savannah Bernal, Lana Kim, Subodh Potla

JMIR Form Res 2025;9:e60073

Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study

Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study

This paper describes a pre-post pilot phase examining acceptability, feasibility, and the preliminary impact of the training, followed by an explanatory phase clarifying and expanding upon the findings of the pilot. The primary quantitative variables included primary training-related outcomes (ie, knowledge and confidence).

Laurie Ruggiero, Lauretta Quinn, Amparo Castillo, Colleen Monahan, Leticia Boughton Price, Wandy Hernandez

JMIR Form Res 2025;9:e64051

Acceptability of the Expert Standard for Oral Health Care in Older Adult Patients Among Nursing Staff in German Hospitals and Care Facilities: Protocol for a Cross-Sectional Study

Acceptability of the Expert Standard for Oral Health Care in Older Adult Patients Among Nursing Staff in German Hospitals and Care Facilities: Protocol for a Cross-Sectional Study

Therefore, the hypothesis is proposed that nursing competence, measured in terms of qualification level, oral health literacy, and oral care competence, has a positive effect on the acceptability of the intervention (Figure 3). Inclusion model based on Erpenbeck et al [23]. Combined acceptability model. This study pursues 3 objectives: first, to determine the rate of acceptability of the several interventions derived from the expert standard.

Damian Pazdziernik, Harald Stummer

JMIR Res Protoc 2025;14:e72528

Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review

Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review

The study uses models like Unified Theory of Acceptance and Use of Technology (UTAUT) and technology acceptance model to evaluate user acceptance, emphasizing trustworthiness and acceptability. These insights are vital for designing AI systems that users are more likely to adopt. Elahi et al [15] examines privacy and health applications, using human-centered design methods. The study introduces a shared responsibility privacy model, underscoring privacy protection as a key design principle.

Roberta Bevilacqua, Tania Bailoni, Elvira Maranesi, Giulio Amabili, Federico Barbarossa, Marta Ponzano, Michele Virgolesi, Teresa Rea, Maddalena Illario, Enrico Maria Piras, Matteo Lenge, Elisa Barbi, Garifallia Sakellariou

JMIR Hum Factors 2025;12:e67350

An Exergames Program for Adolescents With Type 1 Diabetes: Qualitative Study of Acceptability

An Exergames Program for Adolescents With Type 1 Diabetes: Qualitative Study of Acceptability

Assessing acceptability is an important consideration when designing interventions. Adopting the definition of acceptability from the taxonomy of Proctor et al [18] of implementation outcomes, acceptability is defined as “the perception among implementation stakeholders that a given treatment, service, practice of innovation is agreeable, palatable, or satisfactory.”

Selene S Mak, Laura M Nally, Juanita Montoya, Rebecca Marrero, Melissa DeJonckheere, Kevin L Joiner, Soohyun Nam, Garrett I Ash

JMIR Diabetes 2025;10:e65665

Understanding Dermatologists’ Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis

Understanding Dermatologists’ Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis

Their acceptability can compensate for low patient demand or financial resource limitations and can additionally improve patient adherence to these interventions [23-26]. Dermatologists’ overall acceptability of DHIs appears to be lower than that of patients with a dermatological condition [27].

Patrick Reinders, Matthias Augustin, Marina Otten

JMIR Hum Factors 2025;12:e59757

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

As barriers to accessing personal information about biological age are reduced, the field needs a series of rigorous studies to assess the feasibility and acceptability of apps that leverage the appeal of biological age to drive and maintain engagement in wellness programs, ultimately leading to positive changes in wellness behavior. Our study aimed to address several key questions. First, we explored who uses the app by examining participants’ characteristics.

Calissa J Leslie-Miller, Shellen R Goltz, Pamela L Barrios, Christopher C Cushing, Teena Badshah, Corey T Ungaro, Shankang Qu, Yulia Berezhnaya, Tristin D Brisbois

JMIR Form Res 2025;9:e63471