节点文献
中国医护人员对人工智能辅助糖尿病管理的认知现状及影响因素分析(英文)
Healthcare providers’ perceptions of artificial intelligence in diabetes care:A cross-sectional study in China
【摘要】 目的 调查中国医护人员对人工智能(artificial intelligence,AI)辅助糖尿病管理的认知现状并进行影响因素分析。方法 采用滚雪球抽样法,于2024年11月12日至24日从中国30个省市选取514名医生和护士为调查对象。采用自编问卷收集相关数据,包括5个部分共计19个条目,评估医护人员的社会人口学特征、糖尿病相关AI参与情况与培训意愿、认知水平、态度及担忧。使用t检验、方差分析和线性回归分析方法 进行数据分析。结果 研究结果 显示,20.0%和48.1%的医护人员分别参与过糖尿病相关AI管理的研究和培训,而对未来参与糖尿病AI管理培训有较高兴趣的占85.4%。67.9%的医护人员对糖尿病AI管理有部分认知,仅12.6%有全面或深入了解。医护人员对AI在糖尿病管理中的应用总体持积极态度(24.50±3.38)分。多元线性回归分析结果 表明,护士的态度得分显著高于医生(P<0.05),较高的AI认知水平、既往AI培训经历以及对AI培训有较高兴趣均与更积极的态度显著相关(P<0.05)。医护人员的主要担忧包括:AI算法与临床判断不一致可能影响患者信任(77.2%)、增加工作负担及干扰临床流程(63.4%)、AI应用的相关法律法规体系尚不完善(60.3%)、AI可能会威胁到职业角色(34.2%)。结论 中国医护人员对AI在糖尿病管理中的认知尚处于中等水平,但整体态度积极,且对未来培训有较高意愿。为有效促进AI融入到糖尿病的管理中,应为不同职业角色提供针对性的AI培训项目。
【Abstract】 Objectives:Diabetes remains a major global health challenge in China.Artificial intelligence(AI) has demonstrated considerable potential in improving diabetes management.This study aimed to assess healthcare providers’ perceptions regarding AI in diabetes care across China.Methods:A cross-sectional survey was conducted using snowball sampling from November 12 to November 24,2024.We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China.The self-developed questionnaire comprised five sections with 19 questions assessing medical workers’ demographic characteristics,AI-related experience and interest,awareness,attitudes,and concerns regarding AI in diabetes care.Statistical analysis was performed using t-test,analysis of variance(ANOVA),and linear regression.Results:Among them,20.0 % and 48.1 % of respondents had participated in AI-related research and training,while 85.4 % expressed moderate to high interest in AI training for diabetes care.Most respondents reported partial awareness of AI in diabetes care,and only 12.6 % exhibited a comprehensive or substantial understanding.Attitudes toward AI in diabetes care were generally positive,with a mean score of 24.50±3.38.Nurses demonstrated significantly higher scores than physicians(P<0.05).Greater awareness,prior AI training experience,and higher interest in AI training in diabetes care were strongly associated with more positive attitudes(P <0.05).Key concerns regarding AI included trust issues from AI-clinician inconsistencies(77.2 %),increased workload and clinical workflow disruptions(63.4 %),and incomplete legal and regulatory frameworks(60.3 %).Only 34.2 % of respondents expressed concerns about job displacement,indicating general confidence in their professional roles.Conclusions:While Chinese healthcare providers show moderate awareness of AI in diabetes care,their attitudes are generally positive,and they are considerably interested in future training.Tailored,rolespeciifc AI training is essential for equitable and effective integration into clinical practice.Additionally,transparent,reliable,ethical AI models must be prioritized to alleviate practitioners’ concerns.
【Key words】 Artificial intelligence; Attitudes; Diabetes; Medical workers; Nursing; Perceptions;
- 【文献出处】 International Journal of Nursing Sciences ,国际护理科学(英文) , 编辑部邮箱 ,2025年03期
- 【分类号】R192
- 【下载频次】52