Search Articles

View query in Help articles search

Search Results (1 to 10 of 697 Results)

Download search results: CSV END BibTex RIS


Patterns of Engagement With the mHealth Component of a Sexual and Reproductive Health Risk Reduction Intervention for Young People With Depression: Latent Trajectory Analysis

Patterns of Engagement With the mHealth Component of a Sexual and Reproductive Health Risk Reduction Intervention for Young People With Depression: Latent Trajectory Analysis

One form of an m Health intervention, ecological momentary intervention (EMI) [16], delivers treatment in real-time, real-life contexts, which can be especially helpful for addressing momentary dynamics such as those observed between affective states, substance use, impulsiveness, and SRH risk [4,8,9,17].

Lydia A Shrier, Carly E Milliren, Brittany Ciriello, Madison M O'Connell, Sion Kim Harris

JMIR Mhealth Uhealth 2025;13:e70219

Interventions to Counter Health Misinformation Among Older People: Protocol for a Scoping Review

Interventions to Counter Health Misinformation Among Older People: Protocol for a Scoping Review

Some studies identified in the systematic review observed an improvement in the abilities of their participants to use the internet, as well as an enhancement in their self-confidence and quality of life following the intervention, while other studies did not measure any changes. Although these interventions aimed to enhance literacy, they were not designed to specifically address digital health literacy as well as misinformation.

Maryline Vivion, Valérie Reid, Valérie Trottier, Frédéric Bergeron, Isabelle Savard, Emilie Dionne, André Tourigny

JMIR Res Protoc 2025;14:e74138

Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Observational Study

Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Observational Study

Reperfusion can occur by a procedure called percutaneous coronary intervention (PCI) or with thrombolytic medications. When possible, PCI is preferable, and guidelines recommend that a patient presenting to a center that can perform PCI (PCI-capable center) should have this procedure performed within 90 minutes of the patient presenting to the hospital. Those who present to a non–PCI-capable center should be transferred to a center that can perform this procedure within 120 minutes [2].

Katelyn J Cullen, Hassan Mir, Madhu K Natarajan, Marija Corovic, Karen Mosleh, Jacob Crawshaw, Mathew Mercuri, Hassan Masoom, JD Schwalm

JMIR Mhealth Uhealth 2025;13:e60173

Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review

Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review

The intervention improved the well-being of participants and their caregivers; however, technical difficulties were identified as an obstacle, and the intervention was not compared to offline interventions. Finally, 15% (2/13) of the studies examined how openly available, nonspecialized i Pad apps could be used to prompt group activities for people living with dementia.

Jennifer Anne Stanford, Sandra Anna Just

JMIR Ment Health 2025;12:e70321

Ecological Momentary Assessment of the Quality of Life and Self-Efficacy Among People With a Stoma: Longitudinal Study

Ecological Momentary Assessment of the Quality of Life and Self-Efficacy Among People With a Stoma: Longitudinal Study

A meta-analysis of 5 self-management interventions for people with a stoma that measured self-efficacy found a 12-point mean (scale range from 22 to 110) difference in scores between the intervention and control groups at follow-up [10]. Research has begun to suggest that individuals’ attitudes, beliefs, and affective states could vary depending on the time they are measured and the circumstances in which they are measured [11].

William Goodman, Matthew Allsop, Amy Downing, Julie Munro, Gill Hubbard, Rebecca J Beeken

J Med Internet Res 2025;27:e57427

A Mobile App (Joint Effort) to Support Cannabis Use Self-Management and Reinforce the Use of Protective Behavioral Strategies: Development Process and Usability Testing

A Mobile App (Joint Effort) to Support Cannabis Use Self-Management and Reinforce the Use of Protective Behavioral Strategies: Development Process and Usability Testing

It included 6 steps: (1) conducting focus groups to identify the needs and preferences of young adults regarding CU interventions; (2) creating matrices of change objectives to select target behaviors and determinants; (3) selecting theory-based intervention methods and practical applications; (4) developing preliminary intervention content and structure; (5) conducting focus groups to validate the intervention structure and examples of tailored messages; and (6) transposing the intervention content into a mobile

José Côté, Patricia Auger, Gabrielle Chicoine, Jinghui Cheng, Sylvie Cossette, Guillaume Fontaine, Christine Genest, Shalini Lal, Judith Lapierre, M Gabrielle Pagé, Marc-André Maheu-Cadotte, Geneviève Rouleau, Billy Vinette, Didier Jutras-Aswad

JMIR Form Res 2025;9:e71924

Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring

Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring

The rates of pediatric urgent readmissions, unplanned hospitalizations occurring within 30 days of discharge that require immediate medical intervention, vary from 3% to 19% across pediatric hospitals and up to 40% of them may be preventable [2]. The data available at discharge have not proved useful for predicting readmissions, especially for postdischarge causes such as medication-related failures [3].

Isha Thapa, Brian Han, David N Rosenthal, Stephen J Roth, Andrew Y Shin, Nicholas Bambos, David Scheinker

JMIR Pediatr Parent 2025;8:e60802

Chatbot-Delivered Stage of Change–Tailored Web-Based Intervention to Promote Physical Activity Among Inactive Community-Dwelling People Aged 65 years or More: Protocol for a Randomized Controlled Trial

Chatbot-Delivered Stage of Change–Tailored Web-Based Intervention to Promote Physical Activity Among Inactive Community-Dwelling People Aged 65 years or More: Protocol for a Randomized Controlled Trial

Inactive community-dwelling people aged 65 years or more will be randomized evenly (1:1) into either an intervention group or a control group. In the intervention group, the chatbot will measure participants’ SOC related to PA and deliver web-based interventions tailored to their current SOC every week for 12 weeks. In the control group, the chatbot will not measure participants’ SOC but will deliver a standard and non-SOC-tailored web-based intervention every week for 12 weeks.

Xue Liang, Fenghua Sun, Qingpeng Zhang, Yuan Fang, Fuk-yuen Yu, Danhua Ye, Borui Zhang, Qianwen Liao, Phoenix KH Mo, Zixin Wang

JMIR Res Protoc 2025;14:e68796

Mobile Health Intervention Tools Promoting HIV Pre-Exposure Prophylaxis Among Adolescent Girls and Young Women in Sub-Saharan Africa: Scoping Review

Mobile Health Intervention Tools Promoting HIV Pre-Exposure Prophylaxis Among Adolescent Girls and Young Women in Sub-Saharan Africa: Scoping Review

Of the 28 intervention tools, 11 (39%) included SMS text message tools, 9 (32%) included apps, 3 (11%) included telehealth, 4 (14%) included websites, and 1 (4%) included videos delivered through mobile devices. Of the 21 unique intervention studies, 19 involved individual locations across 7 countries and 2 (HPTN 082 and POWER) involved locations in 2 countries.

Alex Emilio Fischer, Homaira Hanif, Jacob B Stocks, Aimee E Rochelle, Karen Dominguez, Eliana Gabriela Armora Langoni, H Luz McNaughton Reyes, Gustavo F Doncel, Kathryn E Muessig

JMIR Mhealth Uhealth 2025;13:e60819

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

monitor device Control: n=5, mean age 66.40 (SD 4.93) y Intervention 1: n=5, mean age 65.40 (SD 4.72) y Intervention 2: n=5, mean age 72 (SD 9.3) y Intervention 3: n=6, mean age 66 (SD 5.18) y Intervention 4: n=6, mean age 68.17 (SD 3.66) y Usual care Using the app without clinician or peer engagement Using the app with clinician engagement features Using the app with peer engagement features Using the app with both clinician engagement and peer engagement features Control: n=31 (17 male), mean age 63.48 (SD

Renato Ferreira Leitao Azevedo, Michael Varzino, Erika Steinman, Wendy A Rogers

J Med Internet Res 2025;27:e65855