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Use of Behavior Change Techniques in Digital HIV Prevention Programs for Adolescents and Young People: Systematic Review

Use of Behavior Change Techniques in Digital HIV Prevention Programs for Adolescents and Young People: Systematic Review

A further full-text review was conducted on the remaining 92 records, and 51 (11%) of them were excluded for the following reasons: non RCT design (n=12, 24%), irrelevant outcomes (n=16, 31%), not digital interventions (eg, in-person interventions, text messaging interventions, or telephone interventions; n=25, 49%), and out of age range (n=5, 10%). Finally, 34 studies were included in this systematic review. The selection process is shown in the PRISMA flowchart in Figure 2 [51].

Phoenix Kit-han Mo, Luyao Xie, Tsz Ching Lee, Angela Yuen Chun Li

JMIR Public Health Surveill 2025;11:e59519

Correction: Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

Correction: Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

In the Results section of the Abstract, the sentences: Of 842 completed studies (n=357 interventional; n=485 observational), 5.5% (46/842) disclosed results on Clinical Trials.gov, 13.9% (117/842) in journal publications, and 17.7% (149/842) through either route within 3 years of completion. Higher disclosure rates were observed for trials: 10.4% (37/357) on Clinical Trials.gov, 19.3% (69/357) in journal publications, and 26.1% (93/357) through either route.

Shoko Maru, Ryohei Kuwatsuru, Michael D Matthias, Ross J Simpson Jr

J Med Internet Res 2025;27:e75554

Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study

Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study

At heart (formerly HEARTPA♀N) [29], a self-management progressive web application, was developed for women with CAD using a sequential phased approach recommended by the Medical Research Council (MRC) [30-32]. In phase 1, an integrated mixed methods systematic review was conducted to evaluate the current evidence related to the self-management of cardiac pain and associated symptoms (eg, dyspnea and fatigue) in women [7,29].

Monica Parry, Tony Huang, Hance Clarke, Ann Kristin Bjørnnes, Paula Harvey, Laura Parente, Colleen Norris, Louise Pilote, Jennifer Price, Jennifer N Stinson, Arland O’Hara, Madusha Fernando, Judy Watt-Watson, Nicole Nickerson, Vincenza Spiteri DeBonis, Donna Hart, Christine Faubert

JMIR Hum Factors 2025;12:e57583

Greater Improvements in Vaccination Outcomes Among Black Young Adults With Vaccine-Resistant Attitudes in the United States South Following a Digital Health Intervention: Latent Profile Analysis of a Randomized Control Trial

Greater Improvements in Vaccination Outcomes Among Black Young Adults With Vaccine-Resistant Attitudes in the United States South Following a Digital Health Intervention: Latent Profile Analysis of a Randomized Control Trial

A total of 360 Black young adults were included in this study, of whom 76% (n=272) identified as cisgender or transgender women. The median age was 24 (IQR 21‐27) years, and approximately one-third of participants (n=122) had a bachelor’s degree or higher. Overall vaccine uptake at month 3 was low (n=21) and did not significantly differ between the intervention and control arms (odds ratio [OR] 1.88, 95% CI 0.76 to 4.69).

Noah Mancuso, Jenna Michaels, Erica N Browne, Allysha C Maragh-Bass, Jacob B Stocks, Zachary R Soberano, C Lily Bond, Ibrahim Yigit, Maria Leonora G Comello, Margo Adams Larsen, Kathryn E Muessig, Audrey Pettifor, Lisa B Hightow-Weidman, Henna Budhwani, Marie C D Stoner

JMIR Public Health Surveill 2025;11:e67370

Using the Healthy Native Youth Implementation Toolbox to Provide Web-Based Adolescent Health Promotion Decision Support to American Indian and Alaska Native Communities: Implementation Study

Using the Healthy Native Youth Implementation Toolbox to Provide Web-Based Adolescent Health Promotion Decision Support to American Indian and Alaska Native Communities: Implementation Study

Most users were located in Washington (n=1515), California (n=1290), and Oregon (n=1019) (Figure 3 A). The majority of users identified as female (n=5217, 70.0%), were mainly 25‐34 years (n=1676, 23.0%) or 18‐24 (n=1559, 22.0%) years of age, and accessed the website primarily via desktop (80.0%) and mobile (19.0%) devices (Table 1).

Amrita Sidhu, Ross Shegog, Stephanie Craig-Rushing, Nicole Trevino, Michelle Singer, Cornelia Jessen, Gwenda Gorman, Sean Simpson, Melissa Peskin, Belinda Hernandez, Christine Markham

JMIR Form Res 2025;9:e67885

Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review

Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review

Features of interactive self-care apps (N=33) were reviewed further, and this exercise showed that less than 10% of the apps incorporated explicit delineation of their scope or initial screening for suitability. Slightly more than one-third of these apps included content aimed at encouraging professional help-seeking when needed or an explicit mention of their theoretical or empirical basis. Challenges for potential users were highlighted [20].

Seema Mehrotra, Ravikesh Tripathi, Pramita Sengupta, Abhishek Karishiddimath, Angelina Francis, Pratiksha Sharma, Paulomi Sudhir, Srikanth TK, Girish N Rao, Rajesh Sagar

JMIR Res Protoc 2025;14:e71071

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

We evaluate the number of clinics and number of patients, assuming that MPACT intervention reduces this frequency to 45% (n=240), 50% (n=300), and 55% (n=330). The power curves based on independent observations (no cluster effect) are shown in Figure 3. The graph shows that the recruitment of 30 clinics, with 20 patients per clinic, provides greater than 80% power to detect a difference in treatment interruption rates of 66% (control) and 55% (MPACT) with α=.05.

Beth E Meyerson, Alissa Davis, Richard A Crosby, Linnea B Linde-Krieger, Benjamin R Brady, Gregory A Carter, Arlene N Mahoney, David Frank, Janet Rothers, Zhanette Coffee, Elana Deuble, Jonathon Ebert, Mary F Jablonsky, Marlena Juarez, Barbara Lee, Heather M Lorenz, Michael D Pava, Kristen Tinsely, Sana Yousaf

JMIR Res Protoc 2025;14:e69829

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Swabs will be taken from mother and baby using a sterile regular flocked dry swab using a kit supplied at 36 (SD 4) weeks of gestation. These samples will be self-collected by rubbing the swab against the inside of the cheek 10 times and reinserting the swab into the plastic applicator. Samples will be given to nursing staff before discharge. The swabs will be sent to pathology for long-term storage until all samples are collected.

Sarah A L Price, Digsu N Koye, Alice Lewin, Alison Nankervis, Stefan C Kane

JMIR Res Protoc 2025;14:e72542

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

We reviewed 102 surgical pathology reports from 102 patients and excluded reports if they were from other organ sites (n=10), benign (n=2), cytopathology (n=5), or outside review (n=1). We included 84 reports for analysis. The study flowchart is shown in Figure 2. Flowchart of the study design and analysis. *The concordance rate was calculated as the total number of concordant answers/total number of answers for each of the 12 medical question answering (MQA).

Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

JMIR Form Res 2025;9:e64544