Study on the factors influencing clinicians'use of innovative medical technologies:A case study of innovative oncology treatment technologies
10.3969/j.issn.1674-2982.2024.12.010
- VernacularTitle:临床医生医疗新技术使用行为影响因素研究
- Author:
Wen CHEN
1
;
Zeng-hui QIU
;
Shan-shan YIN
;
Lan YAO
Author Information
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
- Publication Type:Journal Article
- Keywords:
Innovative medical technology;
Clinical use;
Influencing factors;
Structural equation model ( SEM)
- From:
Chinese Journal of Health Policy
2024;17(12):68-75
- CountryChina
- Language:Chinese
-
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.
