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Published on: January 11, 2020
Using decision tree models to depict primary care physicians CRC screening decision heuristics
Sarah B Wackerbarth1, Yelena N Tarasenko, Laurel A Curtis
1Martin School of Public Policy and Administration, University of Kentucky, 435 Patterson Office Tower, Lexington, KY, USA. sbwack0@uky.edu
Primary care physicians use specific decision rules, or heuristics, when recommending colorectal cancer screening. These heuristics for timing and type of screening were identified, but no link between them was found.
Area of Science:
- Medical Decision Making
- Health Services Research
- Oncology
Background:
- Colorectal cancer screening is crucial for early detection and prevention.
- Primary care physicians play a key role in guiding patients on screening recommendations.
- Understanding physician decision-making processes can inform quality improvement initiatives.
Purpose of the Study:
- To identify the specific decision heuristics used by primary care physicians for colorectal cancer screening recommendations.
- To analyze the criteria physicians employ when determining screening timing and type.
Main Methods:
- Qualitative study employing in-depth, semi-structured interviews with 66 primary care physicians.
- Analysis of interview transcripts using constant comparative methodology to develop decision trees.
- Independent review by three researchers to ensure reliability of identified heuristics.
Main Results:
- Physicians utilized four distinct heuristics for screening timing (e.g., "age 50," "age 50 with family history adjustments").
- Five heuristics were identified for screening type selection (e.g., fecal occult blood test, colonoscopy, combination).
- No association was found between the heuristics used for timing and those used for screening type.
Conclusions:
- Evidence confirms the use of heuristics in colorectal cancer screening recommendations by primary care physicians.
- Further research is necessary to evaluate the impact of these heuristics on the quality of cancer care.
- Identifying these decision patterns is a step towards optimizing screening strategies.
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