Drivers of intentions to use healthcare information systems among health and care professionals

被引:20
作者
Ljubicic, Vladimir [1 ]
Ketikidis, Panayiotis H. [2 ]
Lazuras, Lambros [3 ,4 ]
机构
[1] SAP Healthcare, Richmond, Surrey, England
[2] Univ Sheffield CITY Coll, Int Fac, Thessaloniki, Greece
[3] Sheffield Hallam Univ, Dept Psychol Sociol & Polit, Sheffield, S Yorkshire, England
[4] Sheffield Hallam Univ, Ctr Behav Sci & Appl Psychol, Sheffield, S Yorkshire, England
关键词
diffusion of innovation; health information systems; healthcare; unified theory of acceptance and use of technology; TECHNOLOGY ACCEPTANCE MODEL; DIFFUSION-THEORY; INNOVATION; COMPLEXITY; METAANALYSIS;
D O I
10.1177/1460458218813629
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Although investment in healthcare technology is rapidly increasing, the readiness to use emerging technologies among healthcare professionals is still low. The present study relies on an integrated model derived from the unified theory of acceptance and use of technology and the diffusion of innovation model to assess the factors that predicted healthcare professionals' intentions to use healthcare information systems. Using a cross-sectional correlational design, 105 healthcare professionals (M age = 41.06, standard deviation = 9.18; 49% consultants and General Practitioners (GPs); 56.2% females) from hospitals in England completed online structured questionnaires. One-way analysis of variance showed that there were no differences in healthcare information systems usage intentions, unified theory of acceptance and use of technology and diffusion of innovation variables between consultants/GPs and non-medical staff (i.e. nurses and administration staff). Linear regression analysis demonstrated that the integrative model predicted 78.1 per cent (adjusted R-2) in intentions to use healthcare information systems, and variables from both unified theory of acceptance and use of technology and the diffusion of innovation had significant effects. Moderated regression analysis further revealed that the interaction between voluntariness and effort expectancy, and voluntariness and social influence significantly predicted usage intentions on top of the main effects of the individual predictors. This poses direct implications for both practice and theory in this field. Future research should consider the predictive validity of integrative theoretical models of technology acceptance and utilization in healthcare settings.
引用
收藏
页码:56 / 71
页数:16
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