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Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach

Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach

These data are then aggregated to a national level, analyzed, and visualized using the Network of Patient Safety Database dashboards and chartbooks to identify and track patient safety risks nationally [11]. Similarly, the New Zealand Health Quality and Safety Commission has established a falls and fracture outcomes dashboard to help the health sector evaluate the benefits of the services provided to older people [12].

S Sandun Malpriya Silva, Nasir Wabe, Amy D Nguyen, Karla Seaman, Guogui Huang, Laura Dodds, Isabelle Meulenbroeks, Crisostomo Ibarra Mercado, Johanna I Westbrook

JMIR Aging 2025;8:e63609

Assisted Reproductive Technology and Risk of Childhood Cancer Among the Offspring of Parents With Infertility: Systematic Review and Meta-Analysis

Assisted Reproductive Technology and Risk of Childhood Cancer Among the Offspring of Parents With Infertility: Systematic Review and Meta-Analysis

As ART usage increases, monitoring the long-term health risks associated with it, particularly childhood cancer, becomes crucial [5]. The relationship between ART and childhood cancer has been widely studied, but the results remain controversial due to inconsistent findings [6,7]. One of the key reasons for this inconsistency is the use of different reference groups. Few studies distinguish between children born to parents with infertility and those born to parents who conceived naturally [5,8].

Gao Song, Cai-qiong Zhang, Zhong-ping Bai, Rong Li, Meng-qun Cheng

JMIR Cancer 2025;11:e65820

The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users’ Experiences, Concerns, and Suggestions

The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users’ Experiences, Concerns, and Suggestions

DMHI’s users face similar risks to those in face-to-face therapy, such as deterioration in symptoms, novel symptoms (experiencing new mental health symptoms during treatment), and nonresponse [1]. Deterioration of symptoms, observed in approximately 3%-10% of psychotherapy cases [7,8], signifies a phenomenon where patients’ conditions worsen during therapy. Deterioration is the most common side effect of mental health therapies (face to face and digital) [1].

Rayan Taher, Daniel Stahl, Sukhi Shergill, Jenny Yiend

JMIR Hum Factors 2025;12:e62974

SARS-CoV-2 Infection Risk by Vaccine Doses and Prior Infections Over 24 Months: ProHEpiC-19 Longitudinal Study

SARS-CoV-2 Infection Risk by Vaccine Doses and Prior Infections Over 24 Months: ProHEpiC-19 Longitudinal Study

This discrepancy could be attributed to differing levels of exposure, variations in adherence to preventive measures, or inherent occupational risks associated with different job titles. The identification of job title as a risk factor suggests that targeted interventions and protective strategies should be tailored to specific occupational groups to mitigate infection risk effectively [28].

Pere Torán-Monserrat, Noemí Lamonja-Vicente, Anna Costa-Garrido, Lucía A Carrasco-Ribelles, Bibiana Quirant, Marc Boigues, Xaviera Molina, Carla Chacón, Rosalia Dacosta-Aguayo, Fernando Arméstar, Eva María Martínez Cáceres, Julia G Prado, Concepción Violán, ProHEpiC-19 study group

JMIR Public Health Surveill 2024;10:e56926

Association of a Novel Electronic Form for Preoperative Cardiac Risk Assessment With Reduction in Cardiac Consultations and Testing: Retrospective Cohort Study

Association of a Novel Electronic Form for Preoperative Cardiac Risk Assessment With Reduction in Cardiac Consultations and Testing: Retrospective Cohort Study

We studied a considerable surgical population over 2 years and used propensity score matching to balance several potential confounders of perioperative risk between cohorts, including age, sex, race, comorbidities, perioperative risk tool results, and inherent surgery-specific risks. Both cohorts had a substantial burden of comorbidities (~36%), and a high proportion of patients underwent moderate- or high-risk surgical procedures (~76%).

Mandeep Kumar, Kathryn Wilkinson, Ya-Huei Li, Rohit Masih, Mehak Gandhi, Haleh Saadat, Julie Culmone

JMIR Perioper Med 2024;7:e63076

Preventive Interventions for Internet Addiction in Young Children: Systematic Review

Preventive Interventions for Internet Addiction in Young Children: Systematic Review

Multiple studies highlighted some reasons that underlie the high risks of internet addiction in young children, such as limited self-control [18], incomplete brain development [20], parental limitations [27,28], and influence from children’s environment [29,30]. According to the Interactional Theory of Childhood Problematic Media Use, some distal, proximal, and maintaining factors jointly contribute to determining the risks of internet addiction in children younger than 12 years [31].

Yansen Theopilus, Abdullah Al Mahmud, Hilary Davis, Johanna Renny Octavia

JMIR Ment Health 2024;11:e56896

A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

Using the Shapley value framework, the model assesses risks at both the cohort and at the individual level, guiding the choice of therapeutic interventions. Data-driven approaches to building predictive risk models are becoming important in clinical applications as prescriptive analytics and targeted personalized therapy become more readily available [28,42].

Devika Subramanian, Rona Sonabend, Ila Singh

JMIR Diabetes 2024;9:e53338