摘要
目的综合运用整合型科技接受模型探索分析医疗机构医务人员对“互联网+医联体”的可接受度影响因素,以期为“互联网+医联体”的可持续发展提供依据。方法对参与到“互联网+医联体”的市级医院、县级医院、乡镇卫生院、村卫生室、社区卫生服务中心的医务人员进行问卷调查,采用SPSS20.0和Amos17.0软件对“互联网+医联体”接受度进行统计学描述,构建因变量为行为意向及满意度的结构方程模型。结果在自变量范围中,841名随访对象的个创性得分最高,为(3.88±0.67)分;其次是社会影响,为(3.86±0.66)分;感知风险得分最低,为(3.52±0.78)分。在因变量中,行为意向的得分为(3.86±0.68)分,满意度的得分为(7.72±1.88)分。结论便利条件、个创性、自我效能、绩效期望、努力期望、听过“互联网+医联体”、受教育程度和感知风险等因素为医务人员参与“互联网+医联体”建设的行为意向和满意度的关键因素。
Objective To explore and analyse the factors influencing the acceptability of“Internet medical alliance”among medical staff by UTAUT model,with a view to providing a basis for the sustainable development of“Internet medical alliance”.Methods A questionnaire survey was conducted among medical staff participating in the“Internet medical alliance”in municipal hospitals,count-level hospitals,township health centers,village clinics and community health service centers.SPSS 20.0 and Amos 17.0 software were used to statistically describe the acceptance of“Internet medical alliance”,and a structural equation model with behavioral intention and satisfaction as dependent variables was constructed.Results In the range of independent variables,the 841 follow-up subjects had the highest individual creativity score at(3.88±0.67),followed by social influence at(3.86±0.66)and the lowest perceived risk score at(3.52±0.78).Of the dependent variables,the behavioural intention score was(3.86±0.68)and the satisfaction score was(7.72±1.88).Conclusion Facilitation,individual creativity,self-efficacy,performance expectations,effort expectations,having heard of“Internet medical alliance”education level and perceived risk were key factors in the behavioral intention and satisfaction of medical staff to participate in“Internet medical alliance”.
作者
陈淑华
简张桂
林炳城
周其如
曾科辉
薛冰妮
李文华
Chen Shuhua;Jian Zhanggui;Lin Bingcheng(Guangdong Second Provincial General Hospital,Guangzhou,Guangdong,510317,China;不详)
出处
《中国医院管理》
北大核心
2024年第2期51-54,共4页
Chinese Hospital Management
基金
广东省医学科学技术研究基金项目(C2022019,C2022027)
2023年广东省医改决策咨询研究项目。
关键词
医务人员
互联网+医联体
可接受度
影响因素
medical staff
Internet medical alliance
acceptability
influencing factors