Zhi Peng Zhang1, M Premikha2, Miyang Luo3, Kavita Venkataraman4. 1. National University Polyclinics, Singapore, Singapore. 2. Ministry of Health Holdings Pte Ltd, Singapore, Singapore. 3. Saw Swee Hock School of Public Health, National University of Singapore, 10-03J, Level 10, Tahir Foundation Building (MD1), 12 Science Drive 2, Singapore, 117549, Singapore. 4. Saw Swee Hock School of Public Health, National University of Singapore, 10-03J, Level 10, Tahir Foundation Building (MD1), 12 Science Drive 2, Singapore, 117549, Singapore. ephkv@nus.edu.sg.
Abstract
BACKGROUND: Psychosocial factors like diabetes distress and social support, as well as the presence of complications, affect an individual's self-management ability; however, their role in adherence behaviours is not yet clear. We examined the role of psychosocial factors and complications in non-adherence behaviours in individuals with diabetes in primary care. METHODS: Baseline survey with nine-month follow up through medical records of patients with type 2 diabetes attending primary care. Medication adherence and diabetes distress were assessed using Morisky Green Levine Medication Adherence Scale and Problem Areas in Diabetes, respectively. Appointment adherence was assessed through medical records. RESULTS: Of the 448 participants studied, 59.8% had medication non-adherence and 21.7% were non-adherent to scheduled appointments. PAID score (odds ratio (OR) 1.01, 95% confidence interval 1.00-1.03, p = 0.013), peripheral neuropathy (OR 1.99, 95%CI 1.18-3.37, p = 0.01), home glucose monitoring (OR 0.46, 95%CI 0.30-0.69, p < 0.001), HbA1c (OR 1.34, 95%CI 1.13-1.61, p = 0.001), and age (OR 0.96, 95%CI 0.93-0.98, p = 0.001) were associated with medication non-adherence. Indian ethnicity (OR 2.93, 95%CI 1.59-5.39, p = 0.001), secondary or higher education (OR 1.94, 95%CI 1.14-3.27, p = 0.014), and HbA1c (OR 1.38, 95%CI 1.18-1.63, p < 0.001) were associated with appointment non-adherence. CONCLUSIONS: Non-adherence behaviours were prevalent and significantly associated with higher HbA1c. Medication non-adherence was more likely in younger individuals, those with higher diabetes distress or peripheral neuropathy. Appointment non-adherence was more likely in individuals of Indian ethnicity or those with higher education. Greater support for these groups may help improve adherence behaviours and outcomes.
BACKGROUND: Psychosocial factors like diabetes distress and social support, as well as the presence of complications, affect an individual's self-management ability; however, their role in adherence behaviours is not yet clear. We examined the role of psychosocial factors and complications in non-adherence behaviours in individuals with diabetes in primary care. METHODS: Baseline survey with nine-month follow up through medical records of patients with type 2 diabetes attending primary care. Medication adherence and diabetes distress were assessed using Morisky Green Levine Medication Adherence Scale and Problem Areas in Diabetes, respectively. Appointment adherence was assessed through medical records. RESULTS: Of the 448 participants studied, 59.8% had medication non-adherence and 21.7% were non-adherent to scheduled appointments. PAID score (odds ratio (OR) 1.01, 95% confidence interval 1.00-1.03, p = 0.013), peripheral neuropathy (OR 1.99, 95%CI 1.18-3.37, p = 0.01), home glucose monitoring (OR 0.46, 95%CI 0.30-0.69, p < 0.001), HbA1c (OR 1.34, 95%CI 1.13-1.61, p = 0.001), and age (OR 0.96, 95%CI 0.93-0.98, p = 0.001) were associated with medication non-adherence. Indian ethnicity (OR 2.93, 95%CI 1.59-5.39, p = 0.001), secondary or higher education (OR 1.94, 95%CI 1.14-3.27, p = 0.014), and HbA1c (OR 1.38, 95%CI 1.18-1.63, p < 0.001) were associated with appointment non-adherence. CONCLUSIONS: Non-adherence behaviours were prevalent and significantly associated with higher HbA1c. Medication non-adherence was more likely in younger individuals, those with higher diabetes distress or peripheral neuropathy. Appointment non-adherence was more likely in individuals of Indian ethnicity or those with higher education. Greater support for these groups may help improve adherence behaviours and outcomes.
Authors: Serena Km Low; Jonathon Kc Khoo; Subramaniam Tavintharan; Su Chi Lim; Chee Fang Sum Journal: Ann Acad Med Singapore Date: 2016-01 Impact factor: 2.473
Authors: Rury R Holman; Sanjoy K Paul; M Angelyn Bethel; David R Matthews; H Andrew W Neil Journal: N Engl J Med Date: 2008-09-10 Impact factor: 91.245
Authors: Andrew J Karter; Melissa M Parker; Howard H Moffet; Ameena T Ahmed; Assiamira Ferrara; Jennifer Y Liu; Joe V Selby Journal: Med Care Date: 2004-02 Impact factor: 2.983