Back to Search Start Over

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

Authors :
Baysari, Melissa T
Dort, Bethany A Van
Stanceski, Kristian
Hargreaves, Andrew
Zheng, Wu Yi
Moran, Maria
Day, Richard
Li, Ling
Westbrook, Johanna
Hilmer, Sarah
Source :
International Journal for Quality in Health Care; 2023, Vol. 35 Issue 1, p1-6, 6p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13534505
Volume :
35
Issue :
1
Database :
Complementary Index
Journal :
International Journal for Quality in Health Care
Publication Type :
Academic Journal
Accession number :
162875329
Full Text :
https://doi.org/10.1093/intqhc/mzad004