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Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff

Limited research has focused on understanding if and how evidence of health information technology (HIT) effectiveness drives the selection and implementation of technologies in practice. This study aimed to explore the views of senior hospital staff on the role evidence plays in the selection and i...

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Autores principales: Baysari, Melissa T, Van Dort, Bethany A, Stanceski, Kristian, Hargreaves, Andrew, Zheng, Wu Yi, Moran, Maria, Day, Richard, Li, Ling, Westbrook, Johanna, Hilmer, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940455/
https://www.ncbi.nlm.nih.gov/pubmed/36715081
http://dx.doi.org/10.1093/intqhc/mzad004
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author Baysari, Melissa T
Van Dort, Bethany A
Stanceski, Kristian
Hargreaves, Andrew
Zheng, Wu Yi
Moran, Maria
Day, Richard
Li, Ling
Westbrook, Johanna
Hilmer, Sarah
author_facet Baysari, Melissa T
Van Dort, Bethany A
Stanceski, Kristian
Hargreaves, Andrew
Zheng, Wu Yi
Moran, Maria
Day, Richard
Li, Ling
Westbrook, Johanna
Hilmer, Sarah
author_sort Baysari, Melissa T
collection PubMed
description Limited research has focused on understanding if and how evidence of health information technology (HIT) effectiveness drives the selection and implementation of technologies in practice. This study aimed to explore the views of senior hospital staff on the role evidence plays in the selection and implementation of HIT, with a particular focus on clinical decision support (CDS) alerts in electronic medication management systems. A qualitative descriptive design was used. Twenty senior hospital staff from six Australian hospitals in New South Wales and Queensland took part in a semistructured interview. Interviews were audio-recorded and transcribed, and a general inductive content analysis approach was used to identify themes. Participants acknowledged the importance of an evidence base, but reported that selection of CDS alerts, and HIT more broadly, was rarely underpinned by evidence that technologies improve patient care. Instead, investments in technologies were guided by the expectation that benefits will be achieved, bolstered by vendor assurances, and a perception that implementation of HIT is unavoidable. Postponing implementation of a technology until an evidence base is available was not always feasible. Although some technologies were seen as not requiring an evidence base, stakeholders viewed evidence as extremely valuable for informing decisions about selection of CDS alerts. In the absence of evidence, evaluation or monitoring of technologies postimplementation is critical, particularly to identify new errors or risks associated with HIT implementation and use. Increased transparency from vendors, with technology evaluation outcomes made directly available to healthcare organizations, may result in less reliance on logic, intuition, and vendor assertions and more evidence-based selection of HIT.
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spelling pubmed-99404552023-02-21 Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff Baysari, Melissa T Van Dort, Bethany A Stanceski, Kristian Hargreaves, Andrew Zheng, Wu Yi Moran, Maria Day, Richard Li, Ling Westbrook, Johanna Hilmer, Sarah Int J Qual Health Care Original Research Article Limited research has focused on understanding if and how evidence of health information technology (HIT) effectiveness drives the selection and implementation of technologies in practice. This study aimed to explore the views of senior hospital staff on the role evidence plays in the selection and implementation of HIT, with a particular focus on clinical decision support (CDS) alerts in electronic medication management systems. A qualitative descriptive design was used. Twenty senior hospital staff from six Australian hospitals in New South Wales and Queensland took part in a semistructured interview. Interviews were audio-recorded and transcribed, and a general inductive content analysis approach was used to identify themes. Participants acknowledged the importance of an evidence base, but reported that selection of CDS alerts, and HIT more broadly, was rarely underpinned by evidence that technologies improve patient care. Instead, investments in technologies were guided by the expectation that benefits will be achieved, bolstered by vendor assurances, and a perception that implementation of HIT is unavoidable. Postponing implementation of a technology until an evidence base is available was not always feasible. Although some technologies were seen as not requiring an evidence base, stakeholders viewed evidence as extremely valuable for informing decisions about selection of CDS alerts. In the absence of evidence, evaluation or monitoring of technologies postimplementation is critical, particularly to identify new errors or risks associated with HIT implementation and use. Increased transparency from vendors, with technology evaluation outcomes made directly available to healthcare organizations, may result in less reliance on logic, intuition, and vendor assertions and more evidence-based selection of HIT. Oxford University Press 2023-01-28 /pmc/articles/PMC9940455/ /pubmed/36715081 http://dx.doi.org/10.1093/intqhc/mzad004 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Quality in Health Care. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research Article
Baysari, Melissa T
Van Dort, Bethany A
Stanceski, Kristian
Hargreaves, Andrew
Zheng, Wu Yi
Moran, Maria
Day, Richard
Li, Ling
Westbrook, Johanna
Hilmer, Sarah
Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title_full Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title_fullStr Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title_full_unstemmed Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title_short Is evidence of effectiveness a driver for clinical decision support selection? A qualitative descriptive study of senior hospital staff
title_sort is evidence of effectiveness a driver for clinical decision support selection? a qualitative descriptive study of senior hospital staff
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940455/
https://www.ncbi.nlm.nih.gov/pubmed/36715081
http://dx.doi.org/10.1093/intqhc/mzad004
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