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Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

A systematic review and meta-analysis by Amiri et al [9] examined the attitudes and knowledge of medical, dental, and nursing students toward AI in health care. The findings revealed a moderate level of knowledge (3736/8491, 44%) and a generally positive attitude (5519/8491, 65%), suggesting a promising level of acceptance of AI technologies among health care students.

Kamlah AL-Olaimat, Basma Salameh, Rasha Abdulhalim Alqadi, Abeer Alruwaili, Manal Hakami, Hanay Huwaydi ALanazi, Tahani Maharem, Fadia Ahmed Abdelkader Reshia

JMIR Nursing 2025;8:e71653

Home-Based Virtual Reality Training for Enhanced Balance, Strength, and Mobility Among Older Adults With Frailty: Systematic Review and Meta-Analysis

Home-Based Virtual Reality Training for Enhanced Balance, Strength, and Mobility Among Older Adults With Frailty: Systematic Review and Meta-Analysis

The study by Vestergaard et al [48] did not use standardized outcomes compatible for pooling, and the study by Geraedts et al [53] was a single-arm study without a control group, preventing calculation of comparative effect sizes. Therefore, both were excluded from the meta-analysis [43-46]. Figures 2-4 show the overall treatment effect size and the results of each study on the BBS, TUG, and CS.

Hammad Alhasan, Elaf Alandijani, Lara Bahamdan, Ghofran Khudary, Yara Aburaya, Abdulaziz Awali, Mansour Abdullah Alshehri

JMIR Serious Games 2025;13:e67146

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Gurland et al [29] showed that administering e PROMs on a tablet to 103 patients who are undergoing surgery resulted in a 96% response rate in comparison to 25% with a paper-based collection method. Furthermore, e PROMs have the potential to enhance patient-physician communication by offering real-time pain tracking and avoiding possible recall bias [30].

Prabjit Ajrawat, Blaine Price, Daniel Gooch, Rudolf Serban, Ruqaiya Al-Habsi, Oliver Pearce

JMIR Hum Factors 2025;12:e65271

Examination of Chronic Sorrow Among Parents of Children With Disabilities: Cross-Sectional Study

Examination of Chronic Sorrow Among Parents of Children With Disabilities: Cross-Sectional Study

This study received ethics approval from the institutional review board of the King Abdullah International Medical Research Center (SP23 J/144/09) on October 16, 2023, and the data collection lasted for 6 months. Various measures were undertaken to maintain the privacy and confidentiality of participants. Although there was minimal risk involved, all measures to protect participants’ information were taken.

Samaa Al Anazi, Naseem Alhujaili, Dina Sinqali, Ftoon Al Heej, Lojain Al Somali, Samaher Khayat, Talah Ramboo

JMIR Pediatr Parent 2025;8:e65754

Effects of a Mobile Storytelling App (Huiyou) on Social Participation Among People With Mild Cognitive Impairment: Pilot Randomized Controlled Trial

Effects of a Mobile Storytelling App (Huiyou) on Social Participation Among People With Mild Cognitive Impairment: Pilot Randomized Controlled Trial

A systematic review and meta-analysis by Di Lorito et al [46] found that such interventions can produce positive effects on cognitive abilities among people with MCI and dementia. Furthermore, Karakose et al [47] conducted a comprehensive bibliometric and science mapping analysis, revealing the evolving landscape of digital addiction research, which is pertinent to understanding user engagement with digital health tools.

Di Zhu, Abdullah Al Mahmud, Wei Liu

JMIR Hum Factors 2025;12:e70177