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Exploring the relationship between patients' information preference style and knowledge acquisition process in a
Anna M Sawka1, Sharon Straus2,3, Gary Rodin4,5
1Division of Endocrinology, Toronto General Hospital, 200 Elizabeth Street, 12 EN-212, Toronto, ON, M5G 2C4, Canada. sawkaam@yahoo.com.
BMC Medical Informatics and Decision Making
|June 20, 2015
Summary
Patient information preference influences how much detail they seek from computerized decision aids. High information seekers gained more detailed knowledge, but this did not significantly increase overall medical knowledge.
Area of Science:
- Oncology
- Medical Informatics
- Health Psychology
Background:
- Computerized patient decision aids (P-DAs) improve knowledge and reduce conflict in early-stage papillary thyroid cancer patients.
- Previous research indicates P-DAs are effective, but individual differences in information seeking may influence their utility.
Purpose of the Study:
- To examine the relationship between patients' baseline information preference styles and their engagement with detailed information within a P-DA.
- To assess how information preference styles correlate with medical knowledge acquisition among these patients.
Main Methods:
- A randomized controlled trial comparing a P-DA with usual care.
- Secondary analysis using the Miller Behavioural Style Scale to assess information preference (monitoring vs. blunting).
- Spearman correlation was used to analyze the relationship between information preference scores, supplemental information clicks, and medical knowledge.
Main Results:
- High monitoring preference (information seeking) positively correlated with seeking more detailed information within the P-DA (r = 0.414, p = 0.011).
- Monitoring preference weakly correlated with increased medical knowledge in the overall study population (r = 0.268, p = 0.021).
- No significant associations were found with the blunting (information avoidance) preference style.
Conclusions:
- Individual differences in information preference styles can impact how patients interact with and utilize computerized patient decision aids.
- Further research is necessary to fully understand the influence of patient information preferences on medical knowledge acquisition and decision-making processes.
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