#mHealth

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

12 hours ago

👉La entrevista clínica, un vínculo (y II)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 day ago

👉La entrevista clínica, un vínculo (y II)👩‍⚕️🩺👥🪑🤝

✅consalud.es/opinion/la-entrevista-cl...

🌐Xa @ConSalud_es sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

JMIR Publications

@jmirpub.bsky.social

1 day ago

Content and Quality Analysis of #mHealth Apps for Feeding Children with Autism Spectrum Disorder Date Submitted: Mar 8, 2026. Open Peer Review Period: Mar 10, 2026 - May 5, 2026.

Reminder>> Content and Quality Analysis of #mHealth Apps for Feeding Children with Autism Spectrum Disorder (preprint) #openscience #PeerReviewMe #PlanP

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 day ago

👉La entrevista clínica, un vínculo (y II)👩‍⚕️🩺👥🪑🤝

✅ www.consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

JMIR Publications

@jmirpub.bsky.social

1 day ago

Features of mHealth Apps for Tobacco Cessation Important to Black Adults: Discrete Choice Experiment Background: Although mobile health (mHealth) apps for tobacco cessation augment traditional cessation methods and have contributed to increases in cessation rates, Black adults are underrepresented in mHealth app studies for tobacco cessation. As a result, their mHealth app preferences are not well-known. Objective: Our goal was to identify features of mHealth apps for cessation that are important to Black adults who use tobacco products. Methods: We developed an online discrete choice experiment with 12 pairs of hypothetical mHealth apps for tobacco cessation. Inclusion criteria included being 21 years or older, current use of any tobacco product, and identifying as Black or African American. Participants had to be interested in tobacco cessation and have a history of mHealth app use or be willing to use one in the future. From each pair of hypothetical apps within the survey, participants had to choose the app they preferred. Each hypothetical app was made up of 7 features developed from existing mHealth literature and prior qualitative work: graphics, marketing, strategies for quitting, connection with others, personalization, benefits of quitting, and health information. Each feature had up to 4‐5 levels (ie, variations of that attribute), and each hypothetical mHealth app was comprised of a random assortment of levels of features. Hierarchical Bayes estimation was used to determine the part-worth utility for each level within each feature for each participant, which was then used to calculate the importance score. Average importance scores across respondents were used to determine overall importance scores for each feature. Results: We had 901 adult participants. The mean age was 41 (SD 14.02) years, and about a third of participants (377/901, 42%) were female. Two-thirds of participants (549/901, 61%) had used an mHealth app in the past, and the great majority (786/901, 87%) indicated a willingness to use an app for health purposes in the future. The features had the following importance: graphics (16%), marketing (15%), strategies for quitting (15%), connection with others (14%), personalization (13%), benefits of quitting (13%), and health information (13%). Within features, strategies for quitting had the highest and third-highest levels of “making a step-by-step quit plan” and “recommendations to manage relapse or withdrawal,” respectively. Marketing had the second-highest level of “Historically Black Colleges and Universities–endorsed app.” Graphics had the fourth-highest level of “short video testimonials from people who successfully quit,” while connection with others had the fifth-highest level of “quit buddy program for support and accountability.” Conclusions: This study identified features of mHealth apps important to Black adult tobacco users. To enhance the appeal of mHealth apps to such adults, prioritizing inclusion of highly preferred levels in apps may lead to higher use and improved cessation.

JMIR Formative Res: Features of mHealth Apps for Tobacco Cessation Important to Black Adults: Discrete Choice Experiment #mHealth #TobaccoCessation #HealthApps #PublicHealth #BlackHealth

JMIR Publications

@jmirpub.bsky.social

2 days ago

Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study Background: Sarcopenia, the age-related decline in muscle mass and strength, poses a significant threat to functional independence in older adults. Despite strong evidence supporting resistance training as a preventive and therapeutic strategy, adherence to muscle-strengthening guidelines remains low. Mobile health (mHealth) technologies offer a promising avenue to bridge this gap; however, few apps are tailored to older adults or designed with their input. Objective: This study aimed to identify key features that a muscle-strengthening exercise app should include to enhance engagement and uptake among older adults. Secondary aims were to explore perceived barriers and facilitators to app use and to inform the development of an evidence-based, co-designed mHealth intervention. Methods: We used a qualitative co-design approach, involving 4 focus groups with 18 older adults (aged 60-83 years); each group comprised 3 to 6 older adults, stratified by experience with mHealth apps. Sessions were conducted online via Microsoft Teams and guided by a semistructured protocol informed by prior mHealth research and behavior change theory. Transcripts were analyzed using deductive thematic analysis, underpinned by the Technology Acceptance Model, focusing on perceived usefulness and perceived ease of use. Results: A total of 4 overarching themes and 10 subthemes were identified. Theme 1, mHealth as a tool for supporting health and well-being, highlighted participants’ recognition of digital tools in promoting activity and overcoming accessibility barriers. Theme 2, motivation and engagement through app features, revealed the importance of reminders, progress tracking, and feedback, although views on gamification were mixed. Theme 3, drawbacks of current mobile apps, captured concerns around complexity, poor usability, and lack of age-appropriate content, with skepticism regarding safety and evidence base. Theme 4, desired app elements and features, emphasized the need for customizable reminders, clear instructional videos, adaptable exercise options, and optional social features. Participants stressed the importance of simplicity, personalization, and relatable content to foster trust and sustained engagement. Conclusions: Older adults are receptive to mHealth interventions for muscle-strengthening when design is user centered and grounded in their lived experiences. This study provides a framework for future app development, highlighting the need for intuitive interfaces, personalized features, and credible educational content. By aligning design with Technology Acceptance Model constructs and co-design principles, mHealth apps can better support healthy aging and sarcopenia prevention. These findings offer actionable guidance for developers and researchers aiming to enhance digital health equity and effectiveness in older populations. Clinical Trial: Open Science Framework 10.17605/OSF.IO/J64ER; https://osf.io/j64er/overview

New in JMIR Aging: Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study #mHealth #ElderlyFitness #Sarcopenia #MobileHealth #ResistanceTraining

JMIR Publications

@jmirpub.bsky.social

2 days ago

Adolescents’ Engagement With an #mHealth Multiple #Health Behavior Change Intervention (LIFE4YOUth): Mixed Methods and Qualitative Comparative Analysis Background: Behavior change interventions delivered through #Mobile phones often have low engagement among end users. Objective: This study aimed to explore factors influencing engagement among Swedish high school students with access to LIFE4YOUth, a #Mobile-based multiple behavior change intervention targeting #PhysicalActivity, diet, alcohol consumption, and cigarette smoking. Special emphasis was placed on understanding low engagement. Methods: A sequential explanatory mixed methods design was used. Quantitative usage data from 377 students were analyzed to describe engagement patterns. This was followed by qualitative data collection through 3 focus groups and 2 individual interviews (n=20), analyzed using inductive content analysis. Finally, qualitative comparative analysis (QCA) was used to integrate findings and identify configurations of psychosocial and behavioral conditions associated with low engagement. The results from all phases were interpreted and discussed as a whole. Results: A majority (253/377, 67%) of participants showed low engagement, with 62% (158/253) never interacting with the intervention beyond receiving weekly SMS text messaging. Focus group discussions revealed 3 overarching categories influencing engagement: perceived importance of behavior change, user experiences, and environment of use. In total, 48% (121/253) of the low-engaged participants were represented by 1 of 3 configurations, which described participants’ characteristics as unmotivated high-needers, motivated low-needers, and dissatisfied needers. Robustness tests confirmed the stability of the unmotivated high-needers configuration. Conclusions: LIFE4YOUth (Linköping University) did not engage high school students with multiple risk behaviors who were content with their lives and did not consider healthy behaviors as very important. However, positive experiences of being both confirmed and encouraged may explain engagement among students engaged in a combination of #Health-risk and #Health-promoting behaviors. Future research could explore how tailoring the number of behaviors targeted by #mHealth interventions for adolescents might increase engagement and, in turn, behavioral outcomes.

New in JMIR mhealth: Adolescents’ Engagement With an #mHealth Multiple #Health Behavior Change Intervention (LIFE4YOUth): Mixed Methods and Qualitative Comparative Analysis

JMIR Publications

@jmirpub.bsky.social

2 days ago

Self-Esteem and Problematic #Digital Use in Youth: The Role of Affective Symptoms and Objective #Smartphone #mHealth Behaviors in a Cross-Sectional #Study Date Submitted: Mar 6, 2026. Open Peer Review Period: Mar 9, 2026 - May 4, 2026.

Reminder>> Self-Esteem and Problematic #Digital Use in Youth: The Role of Affective Symptoms and Objective #Smartphone #mHealth Behaviors in a Cross-Sectional #Study (preprint) #openscience #PeerReviewMe #PlanP

Institute on Digital Health and Innovation | Florida State Univ.

@idhifsu.bsky.social

3 days ago

From Vision to Impact: A Digital Health Intervention Design Intensive Academic Workshop - HealthMpowerment (HMP) A three-day academic workshop focused on the development, implementation, and evaluation of digital health interventions across applied health research settings.June 23-25, 2026 | Tallahassee,…

Whether you’re launching your first #mHealth study or scaling an established program, this intensive offers practical tools, expert insights, & hands-on experience to help you transform bold ideas into meaningful impact. 💡 Learn more about the workshop & our HealthMpowerment platform: bit.ly/HMPDHI

JMIR Publications

@jmirpub.bsky.social

4 days ago

Content and Quality Analysis of #mHealth Apps for Feeding Children with Autism Spectrum Disorder Date Submitted: Mar 8, 2026. Open Peer Review Period: Mar 10, 2026 - May 5, 2026.

Content and Quality Analysis of #mHealth Apps for Feeding Children with Autism Spectrum Disorder (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

5 days ago

Reminder>> A Nurse-Led, Multidisciplinary #mHealth Program to Manage Heart Failure During the Vulnerable Post-Discharge Period (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

5 days ago

Comparing Pregnant and Postpartum Client and Provider Feedback on a Digital Health Intervention for Substance Use Recovery: User-Centered Design Approach Background: Mobile health (mHealth) interventions can expand access to and engagement in lifesaving treatment for pregnant and postpartum people with a substance use disorder. Yet, many people with lived experience and substance use providers alike are often excluded from mHealth intervention development, limiting opportunities to provide feedback on critical design components such as #usability, cultural relevance, and compatibility with real-world practice. Objective: The study engaged pregnant and postpartum people and substance use providers in a formative evaluation to refine an mHealth intervention designed to support recovery. Methods: Pregnant and postpartum participants (n=11) and providers working in recovery settings (n=13) across Missouri reviewed the same mHealth intervention. Participants completed a survey and semistructured qualitative questions on #usability and compatibility after reviewing the same mHealth intervention. Survey responses and qualitative themes were compared across groups. Post hoc analyses examined differences between pregnant and postpartum participants who had used the app and those who had not (n=8) to identify barriers to participation. Results: Both participant groups reported similar themes related to the #usability and compatibility of the mHealth intervention, including a need for simplified navigation and greater personalization of app content. The e-coaching feature and directory of recovery-focused resources were viewed as valuable by both groups. Uniquely, pregnant and postpartum participants emphasized the need for app content addressing craving management, emotional triggers, and parenting stress. These participants also requested more frequent communication with the e-coach than providers recommended. Nonapp users differed from app users by race, education, and household characteristics, underscoring structural barriers to engagement. Conclusions: Engaging both pregnant and postpartum people and providers in formative evaluation reveals overlapping and distinct priorities for mHealth design. Findings highlight that user-informed development is essential for improving #usability, engagement, and recovery outcomes, including reaching those least likely to engage with traditional or digital treatment supports.

JMIR Formative Res: Comparing Pregnant and Postpartum Client and Provider Feedback on a Digital Health Intervention for Substance Use Recovery: User-Centered Design Approach #SubstanceUseRecovery #mHealth #PregnancySupport #PostpartumCare #UserCenteredDesign

JMIR Publications

@jmirpub.bsky.social

5 days ago

Self-Esteem and Problematic #Digital Use in Youth: The Role of Affective Symptoms and Objective #Smartphone #mHealth Behaviors in a Cross-Sectional #Study Date Submitted: Mar 6, 2026. Open Peer Review Period: Mar 9, 2026 - May 4, 2026.

Self-Esteem and Problematic #Digital Use in Youth: The Role of Affective Symptoms and Objective #Smartphone #mHealth Behaviors in a Cross-Sectional #Study (preprint) #openscience #PeerReviewMe #PlanP

Wearable Landscape

@wearable-landscape.bsky.social

5 days ago

Webinar registration Meetings

📢 Webinar – March 10, 2026 (16:00 - 17:00 CET)

🎤 Faith Matcham (University of Sussex) on "Predicting Daily Mood from Passive Wearable & Smartphone Data in Major Depressive Disorder"

📝 Free registration:
www.ecnp.eu/knowledge-hu...

#DigitalHealth #Wearables #mHealth

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 week ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @ConSalud_es sbr #mHealth #DiaInternacionaldelaMujer ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 week ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

JMIR Publications

@jmirpub.bsky.social

1 week ago

A Nurse-Led, Multidisciplinary #mHealth Program to Manage Heart Failure During the Vulnerable Post-Discharge Period (preprint) #openscience #PeerReviewMe #PlanP

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 week ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 week ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

ISBNPA

@isbnpa.bsky.social

1 week ago

📢 New in #IJBNPA! Do #ResistanceTraining #mHealth interventions improve neuromuscular fitness and participation?
🔗 Read more:
link.springer.com/article/10.1186/s12966-0...

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

1 week ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

2 weeks ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ www.consalud.es/opinion/la-e...

🌐Xa @ConSalud_es sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

@ptactionplus.bsky.social

2 weeks ago

Many years of coaching revealed this:

Exercise wasn’t the core issue.
Unmanaged anxiety disrupted sleep and recovery.

Breathing module toolkits restored balance.

Better sleep. Better presence. Better performance.

Follow us.

#mhealth #Anxiety

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

2 weeks ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

2 weeks ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

Dr. Alfonso Vidal

@dralfonsovidal.bsky.social

2 weeks ago

👉La entrevista clínica, un vínculo (I)👩‍⚕️🩺👥🪑🤝

✅ www.consalud.es/opinion/la-e...

🌐Xa @consalud.bsky.social sbr #mHealth #GoogleHealth ¡Gracias x leer y Rp!👈

JMIR Publications

@jmirpub.bsky.social

2 weeks ago

Reminder>> User Engagement and Feature Preferences in an AI-powered #mHealth Intervention for #Diabetes Prevention: Secondary Analysis of a #RCT #ClinicalTrial (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

2 weeks ago

Requirements for mHealth and Augmented Reality Apps for Patient Education Regarding Colorectal #Cancer Surgery: Focus Group Study Background: The purpose of preoperative informed consent is to provide patients with comprehensive information about their treatment, including risks and alternatives, to enable informed decision-making. However, studies have shown that patients are often unable to understand or remember important information. Mobile health (mHealth) and augmented reality (AR) apps have been identified as promising solutions to improve patient education and knowledge retention. Objective: This study aims to identify the essential requirements for an mHealth app to support informed decision-making for patients with colorectal #Cancer, with a specific focus on the potential of AR for visualization. This research explores the patient and physician perspectives on these requirements, particularly regarding information delivery and visualization to guide app design. Methods: A qualitative focus group study was conducted with groups of mostly patients with colorectal #Cancer and a physician’s group. Topics related to patient education were discussed, guided by a semistructured interview guide covering personal experience; information content; context of use; and acceptance and presentation of content, which included presenting various visualizations in 2D, 3D, and AR. The interviews were transcribed and analyzed using qualitative content analysis. Results: We conducted 4 focus groups with patients (n=23) and 1 focus group with physicians (n=7), for a total of 30 participants. Relevant informational content for the app and its presentation was identified. Patients consistently expressed a desire for personalized, detailed, and visual information about their condition and treatment tailored to their specific case throughout the treatment journey, so they could prepare for the informed consent discussion after diagnosis, prepare for treatment, access guidance and track progress during hospitalization, and access information and resources during recovery after treatment. Patients demonstrated a strong preference for interactive 3D visualizations, while physicians favored simpler 2D images that could be easily integrated into their existing workflow. AR visualizations were seen as a potential tool to provide a general overview of anatomy and surgical approaches but more as a novelty feature and a supplement to more traditional visualizations. Conclusions: An ideal patient education app combines comprehensive content with interactive, customizable visualizations like 3D models and AR and should be accessible throughout a patient’s treatment journey. This study highlights the need for a patient-centered design that balances detailed information with ease of understanding and considering different preferences for visualization modalities and levels of detail.

JMIR Formative Res: Requirements for mHealth and Augmented Reality Apps for Patient Education Regarding Colorectal #Cancer Surgery: Focus Group Study #mHealth #AugmentedReality #PatientEducation #ColorectalCancer #CancerAwareness

Institute on Digital Health and Innovation | Florida State Univ.

@idhifsu.bsky.social

2 weeks ago

🗓 June 23-25, 2026
📍 Tallahassee, Florida
➡️ Register today! bit.ly/DHI2026

#digitalhealth #mhealth #innovation #innovators #research #researchers #HealthMpowerment #FSU #FSUnursing #academicworkshop #science #technology #health #healthcare

Institute on Digital Health and Innovation | Florida State Univ.

@idhifsu.bsky.social

2 weeks ago

From Vision to Impact: A Digital Health Intervention Design Intensive Academic Workshop - HealthMpowerment (HMP) A three-day academic workshop focused on the development, implementation, and evaluation of digital health interventions across applied health research settings.June 23-25, 2026 | Tallahassee, Florida...

Whether you’re launching your first #mHealth study or scaling an established program, this intensive offers practical tools, expert insights, & hands-on experience to help you transform bold ideas into meaningful impact. 💡 Learn more about the workshop & our HealthMpowerment platform: bit.ly/HMPDHI