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Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Navigating nodes with equity or balance (AR) Getting the word out within PECARN equitably (BF) Presentations to the PECARN Steering Committee including updates to increase awareness (BG) Encouraging researcher engagement (AT, V1) Becoming aware of new publications (AS) Anticipating events or bursts of demand (AE) Establishing credibility on Twitter (AP) Assumptions Peer review of tweets for credibility or trustworthiness (H) No gold standard for analytics makes measuring impact or effectiveness difficult (N)

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

The main features of the apps and EMR/EHR systems can be categorized as tracking or recording health data (n=19), app data integrated into EMR/EHR systems (n=19), app data being summarized or presented on EMR/EHR interface (n=19), communicating with the health care team (n=12), providing reminders or alerts (n=10), synchronizing with other apps or devices such as “wearables” (n=8), offering educational resources (n=4), and using existing portal credentials to app access (n=2) (Multimedia Appendix 3).

Jialing Lin, Shona Marie Bates, Luke N Allen, Michael Wright, Limin Mao, Michael Kidd

JMIR Mhealth Uhealth 2025;13:e66650

Sleep, Health Care–Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey

Sleep, Health Care–Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey

Respondents in this study endorsed monitoring their physical activity, nutrition, and sleep patterns as the main reasons for engaging in self-tracking, and over 65% reported that this had allowed them to be better informed of their general health (n=387/580, 66.6%) and to maintain or improve their health condition (n=398/580, 68.5%).

Karianne Dion, Meggan Porteous, Tetyana Kendzerska, Ashley Nixon, Elliott Lee, Massimiliano de Zambotti, Sheila N Garland, Mandeep Singh, Gino De Luca, Samuel Gillman, Andrée-Ann Baril, Dave Gallson, Rebecca Robillard, Canadian Sleep Research Consortium

J Med Internet Res 2025;27:e68816

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Participant characteristics (n=31). a AI: artificial intelligence. b HIC: high-income country. c UMIC: upper–middle-income country. d LMIC: lower–middle-income country. Five main themes emerged: AI technology acceptance, disparities in digital transformation, technology governance, data governance, and AI for health system transformation. Descriptions of the main themes and subthemes with exemplar quotes are presented in the following subsections.

Mochammad Fadjar Wibowo, Alexandra Pyle, Emma Lim, Joshua W Ohde, Nan Liu, Jonas Karlström

J Med Internet Res 2025;27:e71591

Identifying and Taking Action on the Protective and Risk Factors of Black Maternal Mental Health: Protocol for Community-Based Participatory Study

Identifying and Taking Action on the Protective and Risk Factors of Black Maternal Mental Health: Protocol for Community-Based Participatory Study

In this phase, an e-survey (n=300) will be used to collect data on the participants’ demographic (age, racial and ethnic identities, immigration status, educational status, SES, gender identity, housing, neighborhood, employment, relationship status, and household income along with obstetric information including gestational age at birth (full or preterm), admission to neonatal intensive care unit, and infant health issues or concerns.

Priscilla N Boakye, Kenneth Fung, Mawuko Setordzi, Egbe B Etowa, Rosanra Yoon, Josephine Etowa, Feven Desta, Nana Ama Tiwaa-Boateng, Modupe Tunde-Byass, Janet Yamada, Karline Wilson-Mitchell, Cynthia Maxwell, Crystal T Clark, Josephine Pui-Hing Wong

JMIR Res Protoc 2025;14:e70076

Outdoor Exercise Facility–Based Integrative Mobile Health Intervention to Support Physical Activity, Mental Well-Being, and Exercise Self-Efficacy Among Older Adults With Prefrailty and Frailty in Hong Kong: Pilot Feasibility Randomized Controlled Trial Study

Outdoor Exercise Facility–Based Integrative Mobile Health Intervention to Support Physical Activity, Mental Well-Being, and Exercise Self-Efficacy Among Older Adults With Prefrailty and Frailty in Hong Kong: Pilot Feasibility Randomized Controlled Trial Study

Among the participants who dropped out, the reasons included loss of contact (n=3) and hospitalization (n=1; see Figure 1). The overall intervention completion rate in the integrative m Health intervention group was nearly 80% (134/170, 78.8%). The average completion rates for individual components were as follows: workshop attendance, 63 out of 68 (93%); self-reported adherence to unsupervised outdoor practice sessions, 36 out of 51 (71%); and self-reported mobile app engagement, 35 out of 51 (69%).

Janet Lok Chun Lee, Arnold Y L Wong, Peter H F Ng, S N Fu, Kenneth N K Fong, Andy S K Cheng, Karen Nga Kwan Lee, Rui Sun, Hao Yi Zhang, Rong Xiao

JMIR Mhealth Uhealth 2025;13:e69259