Nursing expertise and information structure influence medical decision making

Area of Science:

• Nursing
• Cognitive Psychology
• Decision Science

Background:

• Diagnostic decision-making is a critical nursing skill.
• The structure of patient information can influence clinical judgment.
• Understanding how expertise and information clarity affect diagnostic certainty is essential for improving patient care.

Purpose of the Study:

• To investigate the impact of nursing expertise levels (experts, novices, naive) on diagnostic decision-making certainty.
• To determine how information structure (high vs. low consistency) influences diagnostic certainty.
• To explore the interaction between nursing expertise and information structure in diagnostic certainty.

Main Methods:

• Two hundred and sixteen participants (nurses, student nurses, non-nurses) were recruited.
• Participants reviewed patient scenarios with either high (consistent) or low (inconsistent) information structure.
• Certainty ratings for potential diagnoses were collected from all participants.

Main Results:

• Participants with existing cognitive schemata (nurses and student nurses) reported greater certainty when information was highly structured.
• Information structure did not significantly affect the certainty ratings of naive participants (non-nurses).
• This suggests that pre-existing knowledge frameworks enhance the ability to leverage structured information for diagnostic certainty.

Conclusions:

• Nursing expertise, coupled with structured diagnostic information, enhances decision-making certainty.
• Individuals lacking relevant cognitive schemata are less influenced by information structure in diagnostic tasks.
• Implications for nursing education and clinical information system design to support accurate diagnosis.