A qualitative study on the optimization needs of cognitive training tools from the perspective of practitioners: a case study of "Fun Brain"
10.3760/cma.j.cn113661-20250109-00015
- VernacularTitle:基于从业人员视角的认知功能训练工具优化需求质性研究：以《趣味健脑》为例
- Author:
Haifeng ZHANG
1
;
Mei ZHAO
;
FangTjang JI
;
Lingshuang HE
;
Huali WANG
;
Xin YU
Author Information
1. 北京大学第六医院 北京大学精神卫生研究所 国家卫生健康委员会精神卫生学重点实验室（北京大学）国家精神心理疾病临床医学研究中心（北京大学第六医院），北京 100191
- Publication Type:Journal Article
- Keywords:
Dementia;
Cognitive training;
Fun brain;
Mild cognitive impairment;
Qualitative study
- From:
Chinese Journal of Psychiatry
2025;58(10):770-777
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study aims to explore the optimization needs of the cognitive training tool "Fun Brain" from a professional perspective, providing insights for its enhancement and application.Methods:In April 2024, a qualitative research approach was employed, involving group interviews with 61 elderly health professionals organized into 9 groups. The interviews primarily focused on the user experience and optimization suggestions related to the "Fun Brain" app. Thematic analysis was conducted, with NVivo 14 software utilized for data management and processing. Data analysis followed Braun and Clarke′s six-phase procedure to ensure the scientific and systematic extraction of themes. Furthermore, high-frequency word analysis was performed, offering crucial clues for subsequent thematic analysis.Results:The study identified 12 initial themes and 6 optimization themes, with a primary focus on age-appropriate interfaces, personalized modules, and feedback mechanisms. These themes were refined into three core themes, including adaptation of training content, optimization of interaction design, and enhancement of participant motivation.Conclusion:Optimizing cognitive training tools for elderly users requires careful consideration of their specific needs, particularly regarding functional adaptation, interface design, and interactive experience. Implementing these optimizations can improve user engagement and training effectiveness, offering both scientific and practical guidance for the design and promotion of cognitive training tools.
