Volume 2, Number 1 (Spring 2015)                   JECH 2015, 2(1): 38-49 | Back to browse issues page


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Kabodi S, Hazavehei M M, Rahimi M, Roshanaei G. Application of BASNEF Model in Analyzing Self-Treatment Behavior among Type 2 Diabetic Patients in 2014. JECH. 2015; 2 (1) :38-49
URL: http://jech.umsha.ac.ir/article-1-67-en.html

1- MSc, Department of Public Health, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
2- Professor, Research Center for Health Sciences and Department of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran , hazavehei@umsha.ac.ir
3- Assistant Professor, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Assistant Professor, Modeling of Noncommunicable Disease Research Center and Department of Biostatistics, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Abstract:   (2883 Views)

Background and Objectives: Self-treatment in diabetes can change blood sugar levels and cause life-threatening complications in patients. Therefore, this study aimed to assess the application of BASNEF Model in analyzing self-treatment Behavior among patients with type 2 diabetes.

Materials and Methods: This cross-sectional descriptive-analytic study was conducted on patients with type II diabetes presenting to Kermanshah Diabetes Center in 2014. The patients were randomly selected and recruited. A questionnaire was used to collect demographic data and measure constructs of BASNEF model. Data were analyzed in SPSS-16 using Mann-Whitney, Kruskal-Wallis Chi-square and logistic regression tests.

Results: Of the participants, 50.5% possessed self-treatment behaviors. According to the results, BASNEF model explained 24 percent of the variance in frequency of self-treatment behaviors. Attitudes, subjective norms, and enabling factors were the most significant predictors (P<0.05).

Conclusions: In this study, the prevalence of self-treatment was high among type 2 diabetic patients. Applying BASNEF model appears to be an efficient tool for predicting self-treatment behaviors among diabetic patients.

Full-Text [PDF 453 kb]   (824 Downloads)    
Type of Study: Research Article | Subject: Special
Received: 2015/01/14 | Accepted: 2015/06/11

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