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Clinicians' perceptions about use of computerized protocols: a multicenter study.

Shobha Phansalkar1, Charlene R Weir, Alan H Morris

  • 1Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT 84112-5750, USA. shobha.phansalkar@hsc.utah.edu <shobha.phansalkar@hsc.utah.edu>

International Journal of Medical Informatics
|April 6, 2007
PubMed
Summary
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Clinicians' perceptions significantly influence the adoption of explicit computerized protocols. Understanding factors like self-efficacy is key to improving their use in healthcare.

Area of Science:

  • Healthcare Informatics
  • Clinical Practice Improvement
  • Behavioral Science in Medicine

Background:

  • Evidence-based techniques, including explicit computerized protocols, show limited clinical adoption.
  • Clinician perceptions are crucial but often unaddressed barriers to protocol implementation.

Purpose of the Study:

  • Develop and validate an instrument to assess clinicians' perceptions of explicit computerized protocols.
  • Identify key factors influencing clinicians' intention to use these protocols.

Main Methods:

  • Qualitative interviews informed a cognitive model of factors motivating protocol use.
  • A 35-item instrument was developed and administered to 240 clinicians (nurses, physicians, respiratory therapists).
  • Factor analysis was used to identify underlying constructs.

Related Experiment Videos

Main Results:

  • Nine factors explained 66% of the variance in intention to use protocols.
  • Key factors include Self-Efficacy, Environmental Support, Role Relevance, Work Importance, Control Beliefs, Information Quality, Social Pressure, Culture, and Behavioral Intention.
  • Beliefs regarding Self-Efficacy was the strongest predictor (26% variance).

Conclusions:

  • Clinician perceptions are critical determinants of explicit computerized protocol adoption.
  • Behavioral theories provide a framework for understanding and addressing barriers to protocol use.
  • Findings have implications for designing and implementing effective clinical protocols.