Usability and performance expectancy govern spine surgeons’ use of a clinical decision support system for shared decision-making on the choice of treatment of common lumbar degenerative disorders

Frontiers in Digital Health

Digital Health

Mikkel Østerheden Andersen¹  Casper Friis Pedersen¹  Søren Eiskjær²  Simon Toftgaard Skov³ 

[1] Department of Orthopedic Surgery, Lillebaelt Hospital, Middelfart, Denmark;Department of Orthopedic Surgery, University of Southern Denmark, Odense, Denmark;Department of Orthopedic Surgery, The Spine Research Group, Aalborg University Hospital, Aalborg, Denmark;Department of Clinical Medicine, Aalborg University, Aalborg, Denmark;Department of Orthopedic Surgery, The Spine Research Group, Aalborg University Hospital, Aalborg, Denmark;Department of Clinical Medicine, Aalborg University, Aalborg, Denmark;Elective Surgery Center, Silkeborg Regional Hospital, Silkeborg, Denmark;

关键词: CDSS;    UTAUT;    PLS-SEM;    usability;    performance expectancy;   

DOI  :  10.3389/fdgth.2023.1225540

 received in 2023-05-19, accepted in 2023-07-31,  发布年份 2023

来源: Frontiers

【 摘 要 】

Study designQuantitative survey study is the study design.ObjectivesThe study aims to develop a model for the factors that drive or impede the use of an artificial intelligence clinical decision support system (CDSS) called PROPOSE, which supports shared decision-making on the choice of treatment of ordinary spinal disorders.MethodsA total of 62 spine surgeons were asked to complete a questionnaire regarding their behavioral intention to use the CDSS after being introduced to PROPOSE. The model behind the questionnaire was the Unified Theory of Acceptance and Use of Technology. Data were analyzed using partial least squares structural equation modeling.ResultsThe degree of ease of use associated with the new technology (effort expectancy/usability) and the degree to which an individual believes that using a new technology will help them attain gains in job performance (performance expectancy) were the most important factors. Social influence and trust in the CDSS were other factors in the path model. r2 for the model was 0.63, indicating that almost two-thirds of the variance in the model was explained. The only significant effect in the multigroup analyses of path differences between two subgroups was for PROPOSE use and social influence (p = 0.01).ConclusionShared decision-making is essential to meet patient expectations in spine surgery. A trustworthy CDSS with ease of use and satisfactory predictive ability promoted by the leadership will stand the best chance of acceptance and bridging the communication gap between the surgeon and the patient.

【 授权许可】

Unknown   
© 2023 Eiskjær, Pedersen, Skov and Andersen.