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Everyday expertise: cognitive demands in diabetes selfmanagement
Katherine D Lippa1, Helen Altman Klein, Valerie L Shalin
1Wright State University, 3640 Colonel Glenn Hwy., Dayton, OH 45435-0001, USA.
Objective:
To assess the relationship between decision making and successful diabetes self-management.
Background:
Patients with type II diabetes make routine but critical self-management decisions.
Method:
We conducted cognitive task analysis interviews with 18 patients to examine problem detection, functional relationships, problem-solving strategies, and types of knowledge used to make self-management decisions. We expected that these decision processes would be related to behavioral adherence and glycemic control.
Results:
Verbal reports displaying problem detection skills, knowledge of functional relationships, and effective problem-solving strategies were all related to better adherence. Problem detection skill was linked to greater glycemic control. Participants differed in declarative and applied knowledge.
Conclusion:
Diabetes self-management draws on the same cognitive skills found in experts from diverse professional domains. Considering diabetes self-management as a form of expertise may support adherence.
Application:
Human factors approaches that support professional expertise may be useful for the decision making of patients with diabetes and other chronic diseases.
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