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

Melissa T. Baysari, Bethany A. Van Dort, Kristian Stanceski, Andrew Hargreaves, Wu Yi Zheng, Maria Moran, Richard Day, Ling Li, Johanna Westbrook, Sarah Hilmer

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
72 Downloads (Pure)

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.

Original languageEnglish
Article numbermzad004
Pages (from-to)1-6
Number of pages6
JournalInternational Journal for Quality in Health Care
Volume35
Issue number1
DOIs
Publication statusPublished - 20 Feb 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • evaluation
  • Health Information Technology
  • evidence
  • implementation
  • clinical decision support
  • health information technology

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