Nonadherence and factors affecting adherence of diabetic patients to anti-diabetic medication in Assela General Hospital, Oromia Region, Ethiopia

Abstract

Background:Diabetes mellitus is a major global health problem covering approximately 347 million persons worldwide. Glycemic control has a main role in its management which mainly depends upon patient adherence to the treatment plan. Accurate assessment of medication adherence is necessary for effective management of diabetes.Objective:To assess nonadherence and factors affecting adherence of diabetic patients to anti-diabetic medication in Assela General Hospital (AGH), Oromia Region, Ethiopia.Materials and Methods:A descriptive cross-sectional study was conducted on patients seeking anti-diabetic drug treatment and follow-up at AGH using structured questionnaire and reviewing the patient record card using check list from January 24, 2014 to February 7, 2014. Descriptive analysis was used to describe the percentages and number of distributions of the variables in the study; and association was identified for categorical data. P ≤ 0.05 was considered as statistically significant.Result:Of all respondents, 149 (52.3%) and 136 (47.7%) were female and male, respectively. The majority of the study participants 189 (66.3%) were in the age group of 30–60 years. Two-hundred nineteen (76.8%) of respondents were married currently. The majority, 237 (83.2%) of respondents did not have blood glucose self-monitoring equipment (glucometer). A total of 196 (68.8%) respondents were adhered to anti-diabetic medication. There was a significant association between adherence to the medication and side effect, level of education, monthly income and presence of glucometer at home (P < 0.05).Conclusion:The participants in the area of study were moderately adherent to their anti-diabetic medications with nonadherence rate of 31.2%. Different factors of medication nonadherence were identified such as side effect and complexity of regimen, failure to remember, and sociodemographic factors such as educational level and monthly income.

Adherence to Oral Antidiabetic Medications among Type 2 Diabetic (T2DM) Patients in Chronic Ambulatory Wards of Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia: A Cross Sectional Study

“…By the same token, among the T2DM patients, 29.6% patients were categorized as non-adherent to the prescribed regimen. Lower than this adherence rate was reported from different areas of the world such as 43.34% in southern India [15] 68.8% in Assela general hospital, Ethiopia, [16] 45% in Sudan [17] 66.8% in Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia, [18] and 40.95% in southern Ethiopia [19]. In the contrary, better than the present value was also reported from various areas including 72.5% in eastern Nigeria [11] 83.3% in eastern Uganda [20] 86.8 in Lagos, Nigeria [21] and 75.7% in Jimma University specialized hospital, southwest Ethiopia [22] This difference is partly ascribed to variation of socio-demographic and socioeconomic characteristics as well as other contributing factors that can somehow affect optimal adherence in the aforementioned studies.…”

“…Moreover, being at higher education level also significantly increases the likelihood of adherence to antidiabetic medications. In other studies done at Assela general hospital, Ethiopia, among socio demographic factors, educational level and monthly income showed a significant association with adherence status [16]. What is more, younger age, degree of poly pharmacy and occupation were significantly associated with antidiabetic medication non-adherence in Tikur Anbessa specialized hospital, Addis Ababa [18].…”

“…Data were entered and analyzed by using SPSS version [16]. The data were cross-tabulated followed by Pearson chi-square test for comparison of categorical variables.…”

Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study

“…Other factors which could account for the 87.1% variation in MA include the cost and side effects of medications, complexity of the medication regime, and inadequate medication and diabetes-related knowledge. 33–35 …”

Sitagliptin protects diabetic rats with acute myocardial infarction through induction of angiogenesis: role of IGF-1 and VEGF

“…Diabetes mellitus is a major public health problem that affects 347 million people worldwide (Danaei et al, 2011;Kassahun, Gashe, Mulisa, & Rike, 2016). On the long-term, uncontrolled hyperglycemia is associated with an increased risk of cardiovascular diseases, including myocardial infarction (MI) (Einarson, Acs, Ludwig, & Panton, 2018;Wilson et al, 1998).…”