已发表论文

在中国稳定型精神分裂症患者中对一款数字认知训练软件的可接受性、可行性和有效性的评估

 

Authors Yang L , Tang Y, Zhu J , Xu L, Wang M, Sun W, Shi C

Received 25 October 2024

Accepted for publication 14 February 2025

Published 27 February 2025 Volume 2025:21 Pages 383—393

DOI https://doi.org/10.2147/NDT.S497602

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Yu-Ping Ning

Liu Yang,1,* Yajing Tang,1,* Jiahui Zhu,2 Lingzi Xu,3 Mingqia Wang,1 Wei Sun,3 Chuan Shi1 

1Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People’s Republic of China; 2The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China; 3Beijing Infinite Brain Technologies, Beijing, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Chuan Shi, Peking University Sixth Hospital, 51 huayuan North Road, Beijing, 100089, People’s Republic of China, Email shichuan@bjmu.edu.cn Wei Sun, Beijing Infinite Brain Technologies, 40 Xiaoyun Road, Beijing, 100004, People’s Republic of China, Email sunwei@wjbrain.com

Objective: This single-arm study aimed to explore the acceptability and effectiveness of a digital cognitive training software (IBT-004) in patients with stable schizophrenia.
Methods: This study conducted an 8-week home-based cognitive training program, IBT-004, for patients with stable schizophrenia. Forty-seven participants were recruited from Peking University Sixth Hospital and Hebei Provincial Mental Health Center. IBT-004 focused on improving cognitive function through independent tasks. Cognitive function was assessed using the Chinese Brief Neurocognitive Suite of Tests (C-BCT) and self-report scales, with additional evaluation of the program’s acceptability and feasibility.
Results: After 8 weeks of cognitive training, patients showed significant improvements in total cognitive scores, Digit Span, and Trial Making Test (P < 0.05). Subjective cognitive distress significantly decreased (Z = − 3.758, P < 0.001). Age (B = − 0.532, β = − 0.476, P < 0.05) and training duration (B = 0.273, β = 0.340, P < 0.05) were significant predictors of Continuous Performance Test scores (F = 3.884, P < 0.05). Patients showed high acceptance of the software. Enjoyment scores (1– 5 scale) ranged from 3.46 to 4.14, and difficulty scores (1– 5 scale) ranged from 2.31 to 2.86, with no significant changes over time (P < 0.05). The average training time was 36.89 hours, and adherence reached 92.24%, indicating strong engagement and compliance.
Conclusion: This study showed that a home-based online cognitive training program improved cognitive function in patients with stable schizophrenia. Significant gains were seen in overall cognitive scores, processing speed, and attention. Participants also reported reduced cognitive distress. Younger age and longer training hours were linked to better outcomes. The program had high adherence, supported by personalized adjustments and engaging features. These results confirm the program’s feasibility and effectiveness for cognitive improvement in schizophrenia.
Clinical Trials Registration: ChiCTR2200055930.

Keywords: stable schizophrenia, cognitive training, digital cognitive training software, Chinese brief neurocognitive suite of tests, C-BCT