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
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Digital Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2023.1225540/full |
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| author | Søren Eiskjær Søren Eiskjær Casper Friis Pedersen Casper Friis Pedersen Simon Toftgaard Skov Simon Toftgaard Skov Simon Toftgaard Skov Mikkel Østerheden Andersen Mikkel Østerheden Andersen |
| author_facet | Søren Eiskjær Søren Eiskjær Casper Friis Pedersen Casper Friis Pedersen Simon Toftgaard Skov Simon Toftgaard Skov Simon Toftgaard Skov Mikkel Østerheden Andersen Mikkel Østerheden Andersen |
| author_sort | Søren Eiskjær |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T14:36:53Z |
| format | Article |
| id | doaj.art-16c7a2e487cd44b0ae595f751a2f31c0 |
| institution | Directory Open Access Journal |
| issn | 2673-253X |
| language | English |
| last_indexed | 2024-03-12T14:36:53Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj.art-16c7a2e487cd44b0ae595f751a2f31c02023-08-17T03:19:42ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2023-08-01510.3389/fdgth.2023.12255401225540Usability 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 disordersSøren Eiskjær0Søren Eiskjær1Casper Friis Pedersen2Casper Friis Pedersen3Simon Toftgaard Skov4Simon Toftgaard Skov5Simon Toftgaard Skov6Mikkel Østerheden Andersen7Mikkel Østerheden Andersen8Department of Orthopedic Surgery, The Spine Research Group, Aalborg University Hospital, Aalborg, DenmarkDepartment of Clinical Medicine, Aalborg University, Aalborg, DenmarkDepartment of Orthopedic Surgery, Lillebaelt Hospital, Middelfart, DenmarkDepartment of Orthopedic Surgery, University of Southern Denmark, Odense, DenmarkDepartment of Orthopedic Surgery, The Spine Research Group, Aalborg University Hospital, Aalborg, DenmarkDepartment of Clinical Medicine, Aalborg University, Aalborg, DenmarkElective Surgery Center, Silkeborg Regional Hospital, Silkeborg, DenmarkDepartment of Orthopedic Surgery, Lillebaelt Hospital, Middelfart, DenmarkDepartment of Orthopedic Surgery, University of Southern Denmark, Odense, DenmarkStudy 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.https://www.frontiersin.org/articles/10.3389/fdgth.2023.1225540/fullCDSSUTAUTPLS-SEMusabilityperformance expectancy |
| spellingShingle | Søren Eiskjær Søren Eiskjær Casper Friis Pedersen Casper Friis Pedersen Simon Toftgaard Skov Simon Toftgaard Skov Simon Toftgaard Skov Mikkel Østerheden Andersen Mikkel Østerheden Andersen 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 CDSS UTAUT PLS-SEM usability performance expectancy |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | CDSS UTAUT PLS-SEM usability performance expectancy |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2023.1225540/full |
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