Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Jixi 218, Hefei 230022, China. Email:
Am J Manag Care. 2024 Sep 1;30(9):e258-e265. doi: 10.37765/ajmc.2024.89604.
To explore the knowledge, attitudes, and practices (KAP) in regard to ChatGPT among health care professionals (HCPs).
Cross-sectional study.
This web-based cross-sectional study included HCPs working at the First Affiliated Hospital of Anhui Medical University in China between August 2023 and September 2023. Participants unwilling to use ChatGPT were excluded. Correlations between KAP scores were evaluated by Pearson correlation analysis and structural equation modeling (SEM).
A total of 543 valid questionnaires were collected; of these, 231 questionnaires (42.54%) were completed by male HCPs. Mean (SD) knowledge, attitude, and practice scores were 6.71 (3.24) (range, 0-12), 21.27 (2.73) (range, 6-30), and 47.91 (8.17) (range, 12-60), respectively, indicating poor knowledge (55.92%), positive attitudes (70.90%), and proactive practices (79.85%). The knowledge scores were positively correlated with attitude (Pearson r = 0.216; P < .001) and practice (Pearson r = 0.283; P < .001) scores, and the attitude scores were positively correlated with practice scores (Pearson r = 0.479; P < .001). SEM showed that knowledge influenced attitude positively (β = 0.498; P < .001) but negatively influenced practice part 1 (improving work efficiency and patient experience) (β = -0.301; P < .001), practice part 2 (helping advance medical research) (β = -0.436; P < .001), practice part 3 (assisting HCPs) (β = -0.338; P < .001), and practice part 4 (the possibilities) (β = -0.242; P < .001). Attitude positively influenced practice part 1 (β = 1.430; P < .001), practice part 2 (β = 1.581; P < .001), practice part 3 (β = 1.513; P < .001), and practice part 4 (β = 1.387; P < .001).
HCPs willing to use ChatGPT in China showed poor knowledge, positive attitudes, and proactive practices regarding ChatGPT.
探讨医护人员（HCPs）对 ChatGPT 的知识、态度和实践（KAP）。
横断面研究。
本研究采用横断面研究设计，于 2023 年 8 月至 9 月期间纳入中国安徽医科大学第一附属医院的 HCPs。排除不愿意使用 ChatGPT 的参与者。通过 Pearson 相关分析和结构方程模型（SEM）评估 KAP 评分之间的相关性。
共收集了 543 份有效问卷，其中 231 份（42.54%）由男性 HCPs 完成。知识、态度和实践评分的平均值（标准差）分别为 6.71（3.24）（范围，0-12）、21.27（2.73）（范围，6-30）和 47.91（8.17）（范围，12-60），表明知识水平较差（55.92%）、态度积极（70.90%）和实践积极（79.85%）。知识评分与态度（Pearson r = 0.216；P < 0.001）和实践（Pearson r = 0.283；P < 0.001）评分呈正相关，而态度评分与实践评分呈正相关（Pearson r = 0.479；P < 0.001）。SEM 显示，知识对态度有积极影响（β = 0.498；P < 0.001），但对实践部分 1（提高工作效率和患者体验）（β = -0.301；P < 0.001）、实践部分 2（帮助推进医学研究）（β = -0.436；P < 0.001）、实践部分 3（辅助 HCPs）（β = -0.338；P < 0.001）和实践部分 4（可能性）（β = -0.242；P < 0.001）有负面影响。态度对实践部分 1（β = 1.430；P < 0.001）、实践部分 2（β = 1.581；P < 0.001）、实践部分 3（β = 1.513；P < 0.001）和实践部分 4（β = 1.387；P < 0.001）有积极影响。
愿意在中国使用 ChatGPT 的 HCPs 对 ChatGPT 的知识、态度和实践表现不佳。
