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Published on: June 11, 2012
Factors Influencing Integration and Usability of Model-Informed Precision Dosing Software in the Intensive Care Unit
Ming G Chai1,2, Natasha A Roberts1,3, Chelsea Dobbins4
1Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Model-informed precision dosing (MIPD) software shows potential for optimizing antimicrobial dosing in intensive care units (ICUs). However, clinicians perceived the software as having below-average usability, citing rigid data entry as a key barrier.
Area of Science:
- Pharmacology
- Critical Care Medicine
- Health Informatics
Background:
- Optimizing antimicrobial dosing in critically ill patients presents significant challenges.
- Model-informed precision dosing (MIPD) software offers a potential solution for personalized antimicrobial therapy.
- Current adoption of MIPD software in intensive care units (ICUs) remains limited.
Purpose of the Study:
- To evaluate the perceived usability of MIPD software among ICU clinicians.
- To identify barriers and enablers for implementing MIPD software within the ICU setting.
Main Methods:
- A mixed-method study involving clinicians (pharmacists and medical staff) who used MIPD software.
- Quantitative data collection using the Post-study System Usability Questionnaire (PSSUQ) and Technology Acceptance Model 2 (TAM2).
- Qualitative data collection through semistructured interviews, analyzed using the framework approach.
Main Results:
- Clinicians rated the MIPD software usability below established reference norms.
- Software acceptance was generally favorable, with the exception of image-related domains.
- Key enablers for integration included accessible data entry and clear recommendations; barriers included rigid data entry and non-conforming recommendations.
Conclusions:
- The MIPD software demonstrated usability scores below the threshold for good usability.
- Availability of specialist clinician support was a crucial factor for participants.
- Rigid data entry systems were identified as a significant deterrent to software adoption.
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