Self-Efficacy as a Predictor of Regimen Adherence in Self-Care of Non-Insulin Dependent Diabetes Mellitus

Abstract

Self-Care is the most critical component of the non-insulin dependent diabetic's treatment regimen. The purpose of this descriptive study was to determine the extent of perceived self-efficacy and to examine the relationship between perceived self-efficacy and demographic, disease-related, and behavior-related regimen variables. Data were collected from a convenience sample of individuals who participated in the diabetes education program at a major military medical center and consisted of answers to a self administered questionnaire which included questions about demographic characteristics, disease-related characteristics, and behavior related to diabetes regimen adherence. The questionnaire also included the Diabetes Self-Efficacy Scale, a 21 item Likert-type tool developed specifically to measure self-efficacy in diabetics. Data were collected from 27 participants over a two month period and were analyzed and reported using descriptive statistics. Of the 27 participants, 11 reported that they had developed at least one complication that was directly related to the diabetes disease process. Self-efficacy in the complications group was found to be markedly lower than that of the noncomplication subsample. This is consistent with self-efficacy theory. While the study did not definitively answer the questions it set out to due to small sample size and over-reliance on self-reporting, the results support the value of further investigation.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1997
Accession Number
AD1011646

Entities

People

  • Kathleen A. French

Organizations

  • Uniformed Services University of the Health Sciences

Tags

DTIC Thesaurus Topics

  • Cognition
  • Demography
  • Diabetes Mellitus
  • Diseases And Disorders
  • Glucose Metabolism Disorders
  • Glucose Monitors
  • Health Care
  • Health Services
  • Lower Extremity
  • Medical Personnel
  • Metabolic Diseases
  • Physiological Monitoring
  • Psychology
  • United States

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