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Digital Interventions for Cognitive Dysfunction in Patients With Stroke: Systematic Review and Meta-Analysis

Digital Interventions for Cognitive Dysfunction in Patients With Stroke: Systematic Review and Meta-Analysis

While some studies showed no significant effect of VR in the area of cognitive improvement, for example, a study by Zhang et al [14], which summarized 23 randomized controlled trials (RCTs) by meta-analysis, found that VR had a significant effect on executive and visuospatial functions in stroke patients, whereas the improvement in overall cognitive function did not show statistically significant differences.

Chen Wang, Min Liu

J Med Internet Res 2025;27:e73687

Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study

Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study

Stroke is a leading cause of mortality and disability among middle-aged and older adult individuals worldwide. According to the World Health Organization, more than 15 million people experience a stroke annually, resulting in approximately 6 million deaths and leaving millions more with varying degrees of long-term disability [1].

Shiqi Qiang, Haitao Zhang, Yang Liao, Yue Zhang, Yanfen Gu, Yiyan Wang, Zehui Xu, Hui Shi, Nuo Han, Haiping Yu

J Med Internet Res 2025;27:e73226

The Quality and Reliability of Online Videos as an Information Source of Public Health Education for Stroke Prevention in Mainland China: Electronic Media–Based Cross-Sectional Study

The Quality and Reliability of Online Videos as an Information Source of Public Health Education for Stroke Prevention in Mainland China: Electronic Media–Based Cross-Sectional Study

In the pursuit of better combating this growing threat, the primary prevention of first stroke and secondary prevention of recurrent stroke have emerged as critical strategies and are now recognized as essential components of global stroke control [3,4].

Rongguang Ge, Haoyi Dai, Chicheng Gong, Yuhong Xia, Rui Wang, Jiaping Xu, Shoujiang You, Yongjun Cao

JMIR Infodemiology 2025;5:e64891

Activity-Based Interventions to Increase Independence After Stroke In the Hospital Setting: Protocol for a Systematic Review

Activity-Based Interventions to Increase Independence After Stroke In the Hospital Setting: Protocol for a Systematic Review

Stroke is a leading cause of adult disability [1]; despite advances in acute treatments, the need for neurorehabilitation continues [2,3]. Stroke-related impairments can lead to difficulties in performing meaningful activities, such as showering or preparing a meal, and problems in participating more broadly in life, such as maintaining a home.

Tayla Grant, Laura Jolliffe, Kylie Wales, Emma Schneider, Avril E Drummond, Natasha A Lannin

JMIR Res Protoc 2025;14:e73133

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

For stroke classification, our results indicate that naïve Bayes provides the most balanced results across AUC (0.703), sensitivity (0.694), specificity (0.708), and accuracy (0.708). On the other hand, the Random forest model, despite having a lower sensitivity, achieves a high AUC (0.716) and the highest specificity (0.839), along with an accuracy of 0.833 – indicating its strong performance in correctly identifying non-stroke cases at the expense of missing some stroke cases.

Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

JMIR Med Inform 2025;13:e66200

Relationship Between Stroke Knowledge, Health Information Literacy, and Health Self- Management Among Patients with Stroke: Multicenter Cross-Sectional Study

Relationship Between Stroke Knowledge, Health Information Literacy, and Health Self- Management Among Patients with Stroke: Multicenter Cross-Sectional Study

Therefore, the aims of this study were to analyze the relationship between stroke knowledge, HIL, and self-management in patients with stroke, to examine the mediating effect of HIL, to provide new ideas for interventions to improve patients’ self-management ability, and to target the implementation of health education for patients with stroke.

Mengxue Zeng, Yanhua Liu, Ying He, Wenxia Huang

JMIR Med Inform 2025;13:e63956

Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

Stroke is the second leading cause of death and the third leading cause of disability worldwide [1,2]. In 2019, there were 12.2 million new cases of stroke, and 101 million people were living with stroke-related conditions [2]. Furthermore, the rate of new strokes appears to be increasing [3]. Studies have shown that up to 50% of the survivors of stroke experience more than 6 impairments [4,5], with upper extremity dysfunction being particularly debilitating [6-9].

Chirathip Thawisuk, Sopida Apichai, Waranya Chingchit, Jananya P Dhippayom, Teerapon Dhippayom

JMIR Rehabil Assist Technol 2025;12:e68268

Smart Wearable Technologies for Balance Rehabilitation in Older Adults at Risk of Falls: Scoping Review and Comparative Analysis

Smart Wearable Technologies for Balance Rehabilitation in Older Adults at Risk of Falls: Scoping Review and Comparative Analysis

These included individuals with neurological conditions (eg, stroke, Parkinson disease, and mild cognitive impairment), vestibular dysfunction, orthopedic conditions affecting mobility, or generalized age-related balance impairments. Studies had to be published after July 1, 2014, and in the English language. Protocols were included to capture ongoing developments and emerging trends in the field, as they provide insights into planned interventions and methodologies.

Brooke Nairn, Vassilios Tsakanikas, Becky Gordon, Efterpi Karapintzou, Diego Kaski, Dimitrios I Fotiadis, Doris-Eva Bamiou

JMIR Rehabil Assist Technol 2025;12:e69589

Effectiveness of a Health Education Program to Reduce Recurrence of Stroke by Controlling Modifiable Risk Factors in a Specialized Hospital in Bangladesh: Randomized Controlled Trial

Effectiveness of a Health Education Program to Reduce Recurrence of Stroke by Controlling Modifiable Risk Factors in a Specialized Hospital in Bangladesh: Randomized Controlled Trial

It is essential to manage modifiable risk factors for reducing stroke recurrence and improving long-term outcomes for survivors of stroke [5]. In Bangladesh, stroke was the top cause of death per 100,000 population for both males and females and all ages in 2019 [6]. In 2022, Bangladesh had a stroke rate of 79.9%, 15.7%, and 4.6%, which was caused by strokes that involved ischemia, hemorrhage, and subarachnoid hemorrhage, respectively, and affected 1,139,000 people [7].

Mahabuba Afrin, K A T M Ehsanul Huq, Sharif Uddin Khan, Subir Chandra Das, Mohammad Shah Jahirul Hoque Chowdhury, Yasuko Fukuoka, Yasuko Fukushima, Michiko Moriyama

JMIR Public Health Surveill 2025;11:e72233

Impact of Telemedicine Adoption on Hemiplegia in Patients With Stroke in Florida: Longitudinal Observational Study

Impact of Telemedicine Adoption on Hemiplegia in Patients With Stroke in Florida: Longitudinal Observational Study

Stroke is a critical acute cerebrovascular condition with high global morbidity and mortality, significantly contributing to long-term disability and health care costs [1]. In the United States, the urgency of stroke care is underscored by the occurrence of a stroke every 40 seconds and a death every 4 minutes, making it a major public health concern [2].

Yao Li, Mingshan Zhang, Weiling Ke, Wenwen Li

J Med Internet Res 2025;27:e72315