TY  - JOUR
PY  - 2008//
TI  - Everyday expertise: cognitive demands in diabetes selfmanagement
JO  - Human factors
A1  - Lippa, Katherine D.
A1  - Klein, Helen Altman
A1  - Shalin, Valerie L.
SP  - 112
EP  - 120
VL  - 50
IS  - 1
N2  - 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>
LA  - en
SN  - 0018-7208
UR  - http://dx.doi.org/
ID  - ref1
ER  -