@article{ref1,
title="Everyday expertise: cognitive demands in diabetes selfmanagement",
journal="Human factors",
year="2008",
author="Lippa, Katherine D. and Klein, Helen Altman and Shalin, Valerie L.",
volume="50",
number="1",
pages="112-120",
abstract="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.<p /><p>Language: en</p>",
language="en",
issn="0018-7208",
doi="",
url="http://dx.doi.org/"
}