Factors Influencing Integration and Usability of Model-Informed Precision Dosing Software in the Intensive Care Unit

Appl Clin Inform. 2024 Mar;15(2):388-396. doi: 10.1055/s-0044-1786978. Epub 2024 May 16.

Abstract

Background: Antimicrobial dosing in critically ill patients is challenging and model-informed precision dosing (MIPD) software may be used to optimize dosing in these patients. However, few intensive care units (ICU) currently adopt MIPD software use.

Objectives: To determine the usability of MIPD software perceived by ICU clinicians and identify implementation barriers and enablers of software in the ICU.

Methods: Clinicians (pharmacists and medical staff) who participated in a wider multicenter study using MIPD software were invited to participate in this mixed-method study. Participants scored the industry validated Post-study System Usability Questionnaire (PSSUQ, assessing software usability) and Technology Acceptance Model 2 (TAM2, assessing factors impacting software acceptance) survey. Semistructured interviews were used to explore survey responses. The framework approach was used to identify factors influencing software usability and integration into the ICU from the survey and interview data.

Results: Seven of the eight eligible clinicians agreed to participate in the study. The PSSUQ usability scores ranked poorer than the reference norms (2.95 vs. 2.62). The TAM2 survey favorably ranked acceptance in all domains, except image. Qualitatively, key enablers to workflow integration included clear and accessible data entry, visual representation of recommendations, involvement of specialist clinicians, and local governance of software use. Barriers included rigid data entry systems and nonconformity of recommendations to local practices.

Conclusion: Participants scored the MIPD software below the threshold that implies good usability. Factors such as availability of software support by specialist clinicians was important to participants while rigid data entry was found to be a deterrent.

MeSH terms

  • Humans
  • Intensive Care Units*
  • Precision Medicine / methods
  • Software*
  • Surveys and Questionnaires

Grants and funding

Funding M.G.C. is supported by a University of Queensland and the Australian National Health and Medical Research Council (NHMRC) (APP2002981) in the form of a Postgraduate Scholarship. J.A.R. is supported by an Australian National Health and Medical Research Council for a Centre of Research Excellence (APP2007007) and an Investigator Grant (APP2009736) as well as an Advancing Queensland Clinical Fellowship.