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Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

A Bonferroni correction was applied to all P values by multiplying each P value by 4, the number of tests conducted, to correct for multiple comparisons; a P value less than .05 was considered statistically significant after correction. Timelines of OARS use were also described for MOUD providers and case managers. All analyses were conducted in R (version 4.2.1; R Foundation for Statistical Computing). All qualitative data were analyzed using a coding reliability thematic analysis approach [16].

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

All P values for Pearson correlation coefficients b PSS-4: Perceived Stress Scale-4. c ACC: adversity coping capability. d PHQ-4: Patient Health Questionnaire-4. e Not applicable. Figure 1 shows the distribution of perceived xingfu and happiness scores. As both perceived xingfu and happiness peaked at scores of 7 (22%) and 8 (23%); therefore, perceived xingfu ≥7 was classified as high perceived xingfu in the logistic regression model.

Katherine Y P Sze, Sai Yin Ho, Agnes Yuen Kwan Lai, Jing Jia, Heng Xu, Shirley Man Man Sit, Tai Hing Lam, Man Ping Wang

JMIR Form Res 2025;9:e73350

Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

P values Totally, 1900 photos across 19 medical specialties were generated (100 for each specialty), with 1834 and 1719 included for gender and race analysis, respectively. Compared to the physician workforce data (Figure 1), AI significantly overrepresented women in 7/19 specialties and underrepresented women in 6/19 specialties.

Philip Sutera, Rohini Bhatia, Timothy Lin, Leslie Chang, Andrea Brown, Reshma Jagsi

JMIR AI 2025;4:e56891

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

narrative story to provide sufficient content (BA) Priority list of timely content for tweets such as newly published PECARN studies with icons to assist readers (AG) Iterative operation manual with protocols and policies to align with stakeholders and unexpected obstacles (S, T, Y) Developing approach to unexpected events and outside-of-scope requests (O, AD, AM, AU) Outcomes Development of analytic metrics with dashboard monitoring (Q) Increasing and broadening followership for Twitter account (AK, AX, K, P)

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

A Customized Neural Transcranial Magnetic Stimulation Target for Functional Disability Among Veterans With Co-Occurring Alcohol Use Disorder and Mild Traumatic Brain Injury: Protocol for a Pilot Randomized Controlled Trial

A Customized Neural Transcranial Magnetic Stimulation Target for Functional Disability Among Veterans With Co-Occurring Alcohol Use Disorder and Mild Traumatic Brain Injury: Protocol for a Pilot Randomized Controlled Trial

Furthermore, the same r TMS protocol to the left or right DLPFC significantly (P There are several case studies on r TMS for TBI [8,43] as well as 8 RCTs of r TMS as a treatment for postconcussive or posttraumatic depression, headache, and chronic central pain among individuals with m TBI, all with modest sample sizes (n≤30) [44].

Amy A Herrold, Alexandra L Aaronson, Dulal Bhaumik, Timothy Durazzo, Sherri L Livengood, Alma Ramic, Patrick Riordan, Neil Jordan, Todd Parrish, Trudy Mallinson, Ibuola O Kale, Andrea Billups, Kelly Krese, Sandra Kletzel, Noah S Philip, Theresa L Bender Pape

JMIR Res Protoc 2025;14:e64909