AIMS: To explore differences in self-care behaviour according to demographic and illness characteristics; and relationships among self-care behaviour and demographic and illness characteristics, efficacy expectations and outcome expectations of people with type 2 diabetes in Taiwan. BACKGROUND: Most people with diabetes do not control their disease appropriately in Taiwan. Enhanced self-efficacy towards managing diseases can be an effective way of improving disease control as proposed by the self-efficacy model which provides a useful framework for understanding adherence to self-care behaviours. DESIGN AND METHODS: The sample comprised 145 patients with type 2 diabetes aged 30 years or more from diabetes outpatient clinics in Taipei. Data were collected using a self-administered questionnaire for this study. One-way anova, t-tests, Pearson product moment correlation and hierarchical regression were analysed for the study. RESULTS: Significant differences were found: between self-care behaviour and complications (t = -2.52, p < 0.01) and patient education (t = -1.96, p < 0.05). Self-care behaviour was significantly and positively correlated with duration of diabetes (r = 0.36, p < 0.01), efficacy expectations (r = 0.54, p < 0.01) and outcome expectations (r = 0.44, p < 0.01). A total of 39.1% of variance in self-care behaviour can be explained by duration of diabetes, efficacy expectations and outcome expectations. CONCLUSIONS: Findings support the use of the self-efficacy model as a framework for understanding adherence to self-care behaviour. RELEVANCE TO CLINICAL PRACTICE: Using self-efficacy theory when designing patient education interventions for people with type 2 diabetes will enhance self-management routines and assist in reducing major complications in the future.
AIMS: To explore differences in self-care behaviour according to demographic and illness characteristics; and relationships among self-care behaviour and demographic and illness characteristics, efficacy expectations and outcome expectations of people with type 2 diabetes in Taiwan. BACKGROUND: Most people with diabetes do not control their disease appropriately in Taiwan. Enhanced self-efficacy towards managing diseases can be an effective way of improving disease control as proposed by the self-efficacy model which provides a useful framework for understanding adherence to self-care behaviours. DESIGN AND METHODS: The sample comprised 145 patients with type 2 diabetes aged 30 years or more from diabetesoutpatient clinics in Taipei. Data were collected using a self-administered questionnaire for this study. One-way anova, t-tests, Pearson product moment correlation and hierarchical regression were analysed for the study. RESULTS: Significant differences were found: between self-care behaviour and complications (t = -2.52, p < 0.01) and patient education (t = -1.96, p < 0.05). Self-care behaviour was significantly and positively correlated with duration of diabetes (r = 0.36, p < 0.01), efficacy expectations (r = 0.54, p < 0.01) and outcome expectations (r = 0.44, p < 0.01). A total of 39.1% of variance in self-care behaviour can be explained by duration of diabetes, efficacy expectations and outcome expectations. CONCLUSIONS: Findings support the use of the self-efficacy model as a framework for understanding adherence to self-care behaviour. RELEVANCE TO CLINICAL PRACTICE: Using self-efficacy theory when designing patient education interventions for people with type 2 diabetes will enhance self-management routines and assist in reducing major complications in the future.
Authors: Gary T Ko; Wing-Yee So; Peter C Tong; Francois Le Coguiec; Debborah Kerr; Greg Lyubomirsky; Beaver Tamesis; Troels Wolthers; Jennifer Nan; Juliana Chan Journal: BMC Med Inform Decis Mak Date: 2010-05-13 Impact factor: 2.796
Authors: Bin Zeng; Wenjie Sun; Rebecca A Gary; Changwei Li; Tingting Liu Journal: Int J Environ Res Public Health Date: 2014-06-27 Impact factor: 3.390
Authors: Mary D Adu; Usman H Malabu; Aduli E O Malau-Aduli; Aaron Drovandi; Bunmi S Malau-Aduli Journal: Int J Environ Res Public Health Date: 2020-04-09 Impact factor: 3.390