Literature DB >> 18354975

Everyday expertise: cognitive demands in diabetes selfmanagement.

Katherine D Lippa1, Helen Altman Klein, Valerie L Shalin.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18354975     DOI: 10.1518/001872008X250601

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  13 in total

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