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Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

Ethical clearance was provided by the University of North Carolina at Chapel Hill institutional review board (#20‐1810), the Malawi National Health Sciences Research Committee (#20/06/2566) and the Baylor College of Medicine institutional review board (H-48800). Interviewers obtained written informed consent from all participants before starting the IDIs, reminding participants that their participation was voluntary and could be withdrawn at any time.

Tiwonge E Mbeya-Munkhondya, Caroline J Meek, Mtisunge Mphande, Tapiwa A Tembo, Mike J Chitani, Milenka Jean-Baptiste, Caroline Kumbuyo, Dhrutika Vansia, Katherine R Simon, Sarah E Rutstein, Victor Mwapasa, Vivian Go, Maria H Kim, Nora E Rosenberg

JMIR Form Res 2025;9:e62741

Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

. +: positive effect; -: negative effect; H: hypothesis. We conducted the study in 3 tertiary hospitals (Shanghai Children’s Hospital, Ren Ji Hospital, and Shanghai Sixth People’s Hospital) in Shanghai. The study involved administering a questionnaire survey to 247 clinicians across the inpatient and outpatient departments of the 3 hospitals. The study spanned a duration of 4 months, from December 2023 to March 2024.

Rui Zheng, Xiao Jiang, Li Shen, Tianrui He, Mengting Ji, Xingyi Li, Guangjun Yu

J Med Internet Res 2025;27:e62732

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

Characteristics of included studies. 45 min 4 d/wk 8 wk EGa: GRASPb HEPc CGd: UCTe T0: 0 T1: 8 wk WMFTg BBTh MALi 30 min 5 d/wk 3 mo EG: Jintronix CG: GRASP T0: 0 T1: 3 mo Follow-up: 1 and 2 mo MAL SIS-16k TSRQ-15l 20 min 5 d/wk 4 wk EG: Jintronix CG: GRASP T0: 0 T1: 4 wk Follow-up: 4 wk SISm MAL 30 min 3~4 d/wk 8 wk EG: EDNA+TAUo CG: GRASP+TAU T0: 0 T1: 8 wk Follow-up: 3 mo BBT Mo Cap 9-HPTq SIS NFIr 1 h/d 4 d/wk 2 wk MUs 2 wk SUt EG: VERGEu MU CG: VERGE SU T0: 0 T1: 2 wk T3: 4 wk 45 min/d 6wk EG: Wii CG: GRASP

Jiaqi Huang, Yixi Wei, Ping Zhou, Xiaokuo He, Hai Li, Xijun Wei

J Med Internet Res 2025;27:e69003

The Role of AI in Nursing Education and Practice: Umbrella Review

The Role of AI in Nursing Education and Practice: Umbrella Review

The bibliometric analysis by Chang et al [42] and the AI in psychiatric nursing review by Li et al [48] exemplified high practices in search strategy design, capturing a broad spectrum of the literature across multiple domains. Some reviews lacked comprehensive reporting of their search strategies, potentially limiting replicability. For example, Knop et al [44] did not fully disclose database coverage or search terms, leaving gaps in methodological transparency.

Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

J Med Internet Res 2025;27:e69881