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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

Studies by Fernandez et al [18] and Fernández-Alcántara et al [24] examined loss and grief (eg, related to loss of the ideal child, a traumatic experience, and shock) in the same population, and the concept of the theory of chronic sorrow emerged there as well. Loss experience among parents is a crucial step that parents undergo to explore their chronic sorrow, eventually leading to acceptance and hope for their child’s future. Disparity is one of the major concepts of the theory of chronic sorrow.

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

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

Our protocol was developed using the scoping review methodological framework proposed by Arksey and O’Malley [39] and further refined by Peters et al [40]. The central research question guiding this review was as follows: “What are the most frequently reported risk factors associated with suicidal ideation in the psychology and mental health literature?”

Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman

JMIR Form Res 2025;9:e63272

Improving Patient Communication by Simplifying AI-Generated Dental Radiology Reports With ChatGPT: Comparative Study

Improving Patient Communication by Simplifying AI-Generated Dental Radiology Reports With ChatGPT: Comparative Study

In a recent meta-analysis by Armache et al [31], the readability of 1124 education materials for patients with head and neck cancer was evaluated that was produced by professional societies, hospitals, and other organizations intended to inform patients, promote their engagement, and enhance their adherence to treatment plans. The mean Flesch-Kincaid grade level of these materials ranged from 8.8 to 14.8, with none of them meeting the recommended sixth-grade readability standard.

Daniel Stephan, Annika S Bertsch, Sophia Schumacher, Behrus Puladi, Matthias Burwinkel, Bilal Al-Nawas, Peer W Kämmerer, Daniel GE Thiem

J Med Internet Res 2025;27:e73337

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

For instance, Labovitz et al [19] demonstrated that, among patients with recently diagnosed ischemic strokes receiving anticoagulants, real-time monitoring via a smartphone-based AI app led to significantly improved medication adherence. This intervention resulted in a 50% increase in adherence rates compared to the standard care control group, as measured by plasma drug concentration levels.

Rose Raizman, José Luis Ramírez-GarciaLuna, Tanmoy Newaz, Sheila C Wang, Gregory K Berry, Ling Yuan Kong, Heba Tallah Mohammed, Robert D J Fraser

J Particip Med 2025;17:e69470