Nurses' Clinical Decision Making in Hospitals
Author Information
Author(s): Bjørk Ida Torunn, Hamilton Glenys A.
Primary Institution: Department of Nursing Science, University of Oslo
Hypothesis
What CDM models characterize the total sample of nurses?
Conclusion
Most nurses reported using quasi-rational models during clinical decision making.
Supporting Evidence
- Nurses' decision making was categorized into analytic-systematic, intuitive-interpretive, and quasi-rational models.
- Increased use of intuitive-interpretive models was associated with years in present job and further education.
- Most nurses reported using quasi-rational models during clinical decision making.
Takeaway
This study looked at how nurses make decisions when caring for patients, finding that they often mix analysis and intuition.
Methodology
A cross-sectional survey was conducted with 2095 nurses using a 24-item Nursing Decision Making Instrument.
Potential Biases
Self-reported data may introduce bias in the associations being investigated.
Limitations
The study's self-reported data may not accurately represent actual decision making, and the sample may not be representative of all nurses in Norway.
Participant Demographics
Participants ranged in age from 21 to 68, with 7.9% being men and an average work experience of 4.9 years.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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