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Related Experiment Videos

Nurse-computer interaction: staff performance outcomes

N Staggers1, M E Mills

  • 1Office of the Assistant Secretary of Defense, Health Affairs (OMS), Falls Church, VA.

Nursing Research
|May 1, 1994
PubMed
Summary
This summary is machine-generated.

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Nurse cognitive and demographic traits impact information retrieval speed and accuracy on computer screens. Age and spatial abilities are key predictors, but screen satisfaction is unaffected by these nurse characteristics.

Area of Science:

  • Nursing Informatics
  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • Effective information retrieval is crucial for clinical nurses.
  • Understanding cognitive and demographic factors influencing performance is essential for optimizing healthcare technology.
  • Previous research has explored user performance with computer interfaces, but specific links to nursing cognitive traits require further investigation.

Purpose of the Study:

  • To investigate the relationship between nurses' cognitive and demographic characteristics and their performance (speed, accuracy) during online information retrieval.
  • To analyze how these characteristics interact with different computer screen designs (information densities).
  • To determine if nurse characteristics predict subjective satisfaction with computer screens.

Main Methods:

Related Experiment Videos

  • 110 female clinical nurses participated in the study.
  • Nurses interacted with three computer screens varying in information density.
  • Cognitive abilities (spatial memory, spatial visualization, perceptual speed) and demographic data (age) were assessed.
  • Information retrieval speed and accuracy were measured, along with subjective screen satisfaction.

Main Results:

  • Age, spatial memory, and spatial visualization significantly predicted nurses' information retrieval speed.
  • Age was a consistent predictor of speed across different screen types.
  • Age predicted practiced accuracy, while age and spatial visualization predicted overall accuracy.
  • Perceptual speed did not significantly predict performance.
  • None of the assessed nurse characteristics predicted subjective screen satisfaction.

Conclusions:

  • Cognitive abilities and age are significant factors influencing nurses' efficiency and accuracy in retrieving information from computer systems.
  • The impact of cognitive variables on performance varies depending on the screen's information density.
  • While cognitive and demographic factors affect performance, they do not influence nurses' subjective satisfaction with computer screen interfaces.