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Improving HIV Prevention Among Heterosexual Men Seeking Sexually Transmitted Infection Services in Malawi: Protocol for a Type I Effectiveness-Implementation Hybrid Randomized Controlled Trial of Systems Navigator–Delivered Integrated Prevention Package (HPTN 112-NJIRA Study)

Improving HIV Prevention Among Heterosexual Men Seeking Sexually Transmitted Infection Services in Malawi: Protocol for a Type I Effectiveness-Implementation Hybrid Randomized Controlled Trial of Systems Navigator–Delivered Integrated Prevention Package (HPTN 112-NJIRA Study)

Literate participants will document their consent by signing the ICF(s). Nonliterate participants will document their informed consent by marking their ICF(s) (eg, with an X, thumbprint, or other mark) in the presence of a literate third-party witness. Participants will be provided with a copy of their ICF if they are willing to receive it. All minors (under the age of 18) will be required to provide assent along with parental consent.

Sarah E Rutstein, Laura Limarzi-Klyn, Jane S Chen, Yaw O Agyei, Shahnaz Ahmed, Ian Bell, Myron Cohen, Jessica M Fogel, Vivian Go, Dan Haines, Erica L Hamilton, Irving F Hoffman, Mina C Hosseinipour, Mark A Marzinke, William C Miller, Mathews Mukatipa, Julie Pulerwitz, Hans M L Spiegel, Ting Ye, Mitch Matoga

JMIR Res Protoc 2025;14:e72981

How Information Exposure Shapes Risk Perceptions and Vaccination Intentions Among Gay, Bisexual, and Other Men Who Have Sex With Men: Cross-Sectional Survey Study

How Information Exposure Shapes Risk Perceptions and Vaccination Intentions Among Gay, Bisexual, and Other Men Who Have Sex With Men: Cross-Sectional Survey Study

Overall model fit was determined using (1) the scaled chi-square badness-of-fit index (P>.05), (2) a scaled root mean square error of approximation (S-RMSEA) of 0.95 [51,55,56]. Multigroup SEM was further used to examine potential differences in mpox information exposure and their associations with mpox perceptions across cities (moderation by city). We tested for partial scalar invariance in the measurement model and partial path coefficient invariance in the structural model.

Doug Cheung, Luyao Xie, Lijuan Wang, Siyu Chen, Xinge Li, Zheng Zhang, Xinyue Chen, Shen Ge, Fuk-yuen Yu, Yuan Fang, Zihuang Chen, Zhennan Li, Fenghua Sun, Phoenix Mo, Yingjie Liu, Zixin Wang

JMIR Public Health Surveill 2025;11:e70635

Evaluating the Characteristics and Outcomes of Acute Pharmaceutical Exposure in Children: 5-Year Retrospective Study

Evaluating the Characteristics and Outcomes of Acute Pharmaceutical Exposure in Children: 5-Year Retrospective Study

Li et al [14] showed that most poisoning incidents among children are accidental, with 70.4% occurring at home. Accidental poisonings are more common in young children, particularly in those aged 1‐3 years, whereas intentional poisonings are more common among adolescents [15,16]. Furthermore, the clinical manifestations of acute poisoning in children are diverse, and some severe cases presenting consciousness disturbances and circulatory failure can be life-threatening.

Zhu Yan Duan, Yan Ning Qu, Rui Tang, Jun Ting Liu, Hui Wang, Meng Yi Sheng, Liang Liang Wang, Shuang Liu, Jiao Li, Lin Ying Guo, Si Zheng

JMIR Pediatr Parent 2025;8:e66951

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review

venous thromboembolism, thrombocytopenia, and bleeding after vaccination with Oxford-AstraZeneca ChAdOx1-S Reference 96: Safety of heterologous primary and booster schedules with ChAdOx1-S and BNT162b2 or mRNA

Mengdi Zhang, Junting Yang, Yan Li, Yuan Li, Tong Li, Ziqi Dong, Shuo Gong, Yahui Wu, Minrui Ren, Chunxiang Fan, Lina Zhang, Yi Wang, Yali Wang, Jingtian Ren, Feng Sun, Chuanyong Shen, Keli Li, Zhike Liu, Siyan Zhan

JMIR Public Health Surveill 2025;11:e63161

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis

In contrast, other studies, such as Li et al [19] and Wang et al [20], observed considerably lower performance, with AUC values of 0.72 and 0.73, respectively. These discrepancies can be attributed to factors such as data quality, sample size, and model architecture. Low-quality datasets, such as retrospective studies or single-center studies, may introduce selection bias and limit the generalizability of models, thereby affecting the reliability of radiomics approaches in clinical practice [21].

Lizhen She, Yunfeng Li, Hongyong Wang, Jun Zhang, Yuechen Zhao, Jie Cui, Ling Qiu

J Med Internet Res 2025;27:e71091

College Community–Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association

College Community–Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association

The SCSU Fitness Center and Move Spring removed identifiers and donated the dataset to the Dataverse repository [44] and a research team based at Yale University (GIA, SSM, MA, BB, JL, SL, XX, SJ, LMF, MS-K, and MBG), who performed data cleaning, analysis, interpretation, and write-up. They liaised with several co-designers of the Steps Challenge program content (ADH, PB, and RSA) to summarize the intervention methodology for this manuscript.

Garrett I Ash, Selene S Mak, Adrian D Haughton, Madilyn Augustine, Phillip O Bodurtha, Robert S Axtell, Beatrice Borsari, Jason J Liu, Shaoke Lou, Xin Xin, Lisa M Fucito, Sangchoon Jeon, Matthew Stults-Kolehmainen, Mark B Gerstein

JMIR Mhealth Uhealth 2025;13:e51707

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Most studies employed internal validation, with k-fold cross-validation used in 35 studies and bootstrapping used in 2 studies. Only 5 studies performed external validation. The most common validation methods used were k-fold cross-validation and bootstrap sampling to prevent model overfitting. Of the 42 studies, 37 performed multivariable analysis to screen for high-risk factors and 5 employed both univariate and multivariate analyses.

Lingjiang Liu, Zhiyuan Li, Yaxin Hu, Chunyou Li, Shuhan He, Shibei Zhang, Jie Gao, Huaiyi Zhu, Guoping Huang

J Med Internet Res 2025;27:e73052