| 引用本文：陈稳, 邱增辉, 尹姗姗, 姚岚.临床医生医疗新技术使用行为影响因素研究——以肿瘤治疗新技术为例[J].中国卫生政策研究,2024,17(12):68-75 |
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| 临床医生医疗新技术使用行为影响因素研究——以肿瘤治疗新技术为例 |
| 投稿时间：2024-10-17 修订日期：2024-12-04 PDF全文浏览 HTML全文浏览 |
| 陈稳1, 邱增辉1, 尹姗姗1, 姚岚1 |
1. 华中科技大学同济医学院医药卫生管理学院 湖北武汉 430030;
2. 国家医疗保障研究院华科基地 湖北武汉 430030 |
| 摘要:目的：探讨临床医生医疗新技术使用行为的影响因素，为促进创新医疗技术的临床应用提供数据及路径支撑。方法：基于UTAUT构建临床医生医疗新技术使用行为影响因素模型，并通过专家访谈对模型进行修订，通过调查问卷收集数据，使用AMOS软件构建结构方程模型进行直接效应及中介效应检验。结果：临床效果期望(P<0.001)、DRG/DIP政策影响(P=0.009)、患者意愿(P<0.001)、便利条件(P<0.001)对使用意愿的直接效应显著；使用意愿(P=0.005)、患者意愿(P=0.021)、便利条件(P<0.001)对使用行为的直接效应显著；使用意愿在临床效果期望(P<0.001)、DRG/DIP政策影响(P=0.030)、患者意愿(P<0.001)、便利条件(P<0.001)影响使用行为的关系中起中介作用。结论：临床效果期望是影响临床医生医疗新技术使用意愿的首要因素，DRG/DIP支付方式会一定程度上降低使用意愿，便利条件是影响使用行为的关键因素，应当针对这些关键影响因素提出相关政策建议，促进创新医疗技术的临床应用。 |
| 关键词:创新医疗技术 临床使用 影响因素 结构方程模型 |
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| Study on the factors influencing clinicians' use of innovative medical technologies: A case study of innovative oncology treatment technologies |
| CHEN Wen1, QIU Zeng-hui1, YIN Shan-shan1, YAO Lan1 |
1. School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei 430030, China;
2. HUST Base of the National Institute of Medical Security, Wuhan Hubei 430030, China |
| Abstract:Objective: To explore the factors influencing clinicians' adoption of new medical technologies and provide data and strategic support to promote the clinical application of innovative medical technologies. Methods: Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), a model was constructed to examine the factors influencing clinicians' adoption of new medical technologies. The model was revised through expert interviews, and data were collected via a survey questionnaire. Structural equation modeling (SEM) was conducted using AMOS software to test both the direct and mediating effects. Results: Clinical performance expectancy(P<0.001), DRG/DIP policy impact(P=0.009), patient willingness(P<0.001), and facilitating conditions(P<0.001) had significant direct effects on usage intention. Usage intention(P=0.005), patient willingness(P=0.021), and facilitating conditions(P<0.001) had significant direct effects on usage behavior. Usage intention mediated the relationship between clinical performance expectancy(P<0.001), DRG/DIP policy impact(P=0.030), patient willingness(P<0.001), facilitating conditions(P<0.001), and usage behavior. Conclusions: Clinical performance expectancy is the primary factor influencing clinicians' willingness to adopt new medical technologies. DRG/DIP payment methods somewhat reduce usage intention, while facilitating conditions are the key factor influencing usage behavior. Policy recommendations should focus on these key factors to promote the clinical application of innovative medical technologies. |
| Key words:Innovative medical technology Clinical use Influencing factors Structural equation model (SEM) |
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