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Patient decision making in recovering from surgery
1Deptartment of Biomedical & Health Information Sciences, University of Illinois Chicago, Chicago, IL, United States.
Surgery recovery involves complex patient decisions, similar to professional judgment. Naturalistic Decision Making (NDM) can analyze this high-stakes patient work, even without formal training.
Area of Science:
- Decision Science
- Patient Experience Research
- Surgical Recovery
Background:
- Surgery recovery requires patients to make complex decisions in naturalistic settings.
- These decisions aim to minimize risk and maximize safety, akin to professional judgment.
- Patients often lack training, education, or decision support for this critical work.
Purpose of the Study:
- To apply the Naturalistic Decision Making (NDM) theoretical lens to patient decision-making during surgery recovery.
- To illustrate how macrocognition can frame the challenges faced by patients managing their recovery.
- To validate the appropriateness of NDM methods for studying patient recovery work.
Main Methods:
- Utilized a lived experience narrative to explore patient decision-making.
- Applied the macrocognitive paradigm to understand the cognitive demands of recovery.
- Examined the suitability of Naturalistic Decision Making (NDM) theoretical lens and methods.
Main Results:
- Patient recovery work involves complex judgments and decisions comparable to professional tasks.
- The burden of decision-making in recovery can be effectively understood through a macrocognitive framework.
- NDM provides a suitable theoretical lens and methodological approach for this domain.
Conclusions:
- Naturalistic Decision Making (NDM) is an appropriate framework for studying patient decision-making in surgery recovery.
- Macrocognition effectively captures the complex cognitive load of post-surgical self-care.
- Further research using NDM methods can improve support for patients undergoing surgery recovery.
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