Predictors of poor glycemic control among patients with type 2 diabetes on follow-up care at a tertiary healthcare setting in Ethiopia

Demoz, Gebre Teklemariam; Gebremariam, Abebe; Yifter, Helen; Alebachew, Minyahil; Niriayo, Yirga Legesse; Gebreslassie, Gebremicheal; Woldu, Minyahil Alebachew; Bahrey, Degena; Shibeshi, Workineh

doi:10.1186/s13104-019-4248-6

Cited by 55 publications

(88 citation statements)

References 22 publications

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“…This results in increasing difficulty in maintaining glycaemic control, which may explain why a longer duration of diabetes is associated with poorer glycaemic control [28]. The association between poor diabetic medication adherence and poor glycaemic control is consistent with two studies conducted in Tanzania and Ethiopia [29,30]. It has been found that the pain and anxiety associated with daily insulin injections may increase the risk of insulin omission in diabetic patients [31,32].…”

Section: Discussionsupporting

confidence: 58%

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

Abdullah

Sidi

Ravindran

et al. 2020

Journal of Diabetes Research

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Objective. Diabetes mellitus is one of the most common noncommunicable diseases in Malaysia. It is associated with significant complications and a high cost of treatment, especially when glycaemic control is poor. Despite its negative impact on health, data is still lacking on the possible biopsychosocial predictors of poor glycaemic control among the diabetic population. This study is aimed at determining the prevalence of poor glycaemic control as well as its association with biopsychosocial factors such as personality traits, psychiatric factors, and quality of life (QOL) among Malaysian patients with diabetes. Methods. A cross-sectional study was conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using outpatient population diabetic patients. Demographic data on social and clinical characteristics were collected from participants. Several questionnaires were administered, including the Beck Depression Inventory-II (BDI-II) to measure depressive symptoms, the Generalized Anxiety Disorder-7 (GAD-7) to assess anxiety symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the WHO Quality of Life-BREF (WHOQOL-BREF) to assess QOL. Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control. Results. 300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA1C≥7.0%) was 69%, with a median HbA1C of 7.6% (IQR=2.7). Longer duration of diabetes mellitus and a greater number of days of missed medications predicted poor glycaemic control, while older age and overall self-perception of QOL protected against poor glycaemic control. No psychological factors were associated with poor glycaemic control. Conclusion. This study emphasizes the importance of considering the various factors that contribute to poor glycaemic control, such as duration of diabetes, medication adherence, age, and QOL. These findings should be used by clinicians, particularly when planning a multidisciplinary approach to the management of diabetes.

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Section: Discussionsupporting

confidence: 58%

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

Abdullah

Sidi

Ravindran

et al. 2020

Journal of Diabetes Research

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“…We also found that there was no relationship between the gender of the study participants and glycemic control. In contrast, a study conducted by Harrabi et al [24] in Saudi Arabia reported that being female was associated with poor glycemic control while a study by Demoz et al [55] in Ethiopia also reported that being female was significantly associated with poor glycemic control. One possible reason for this gender difference may be that it is the female who is usually the caregiver for the entire family (including not only the husband and children but also mother and mother-in-law), which might increase her domestic responsibilities.…”

Section: Discussionmentioning

confidence: 85%

Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study

Sheleme¹,

Mamo

Melaku

et al. 2020

Diabetes Ther

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Introduction: The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular disease. The aim of this study was to assess glycemic control level and its predictors among adult patients with diabetes. Methods: A prospective observational study was conducted among patients with diabetes during follow-up at an ambulatory clinic of Mettu Karl referral hospital from 15 April to 09 August 2019. The consecutive sampling method was used to collect data, following which the data were entered into Epidata manager version Digital Features To view digital features for this article go to

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“…Socio-demographics included age, sex, ethnicity, income, education, and clinically-related conditions were often found to be predictors of poor adherence [ 5 , 11 , 12 ]. In Ethiopia the rate of poor adherence to anti-diabetes medication is prevalent [ 13 ] and poor adherence is a predictor for poor glycemic control [ 14 ]. The most common reasons for poor adherence include patients not being conscientious with their regimens, patients forgetting to take their medications regularly, and patients stopping when they feel better or worse [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Predictors of poor adherence to antidiabetic therapy in patients with type 2 diabetes: a cross-sectional study insight from Ethiopia

Demoz

Wahdey

Bahrey

et al. 2020

Diabetol Metab Syndr

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Background: Poor adherence to the medical regimen is a major clinical problem in the management of patients with diabetes. This study sought to investigate the level of medication adherence to antidiabetic therapy and to identify possible predictors of poor adherence. Methods: A hospital based cross-sectional study was conducted from July 2018 to June 2019 among randomly selected follow-up T2D patients at a hospital diabetes clinic. Data were collected through patient interviews, followed by medical chart review. Adherence to antidiabetic therapy that we assessed patients' responses using validated Brief Medication Questionnaire (BMQ). To identify predictors of poor medication adherence, binary logistic regression analyses were performed using SPSS version 25. Statistical significance was set at p value ≤ 0.05. Results: Of the total 357 study participants, 25% were non-adherent to their antidiabetic therapy. Predictors statistically associated with poor adherence were; being female gender (AOR = 1.71, 95% CI 1.01-2.76), and presence of at least one diabetic complication (AOR = 2.02, 95% CI 1.02-3.22). Participants with having at least primary level of education were more likely to adhere to anti-diabetes medication (AOR = 0.42, 95% CI 0.18-0.96). The most common self-reported reasons for non-adherence were forgetfulness, unavailability of medication plus the unaffordability of anti-diabetes medications. Conclusions: The proportion of participants' adherent to anti-diabetes therapies was suboptimal. Being female, the presence of chronic diabetic complications and having no formal education were the main predictors of poor adherence. Strategies that aimed at improving adherence to antidiabetic medications deemed to be compulsory.

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Predictors of poor glycemic control among patients with type 2 diabetes on follow-up care at a tertiary healthcare setting in Ethiopia

Cited by 55 publications

References 22 publications

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not

Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study

Predictors of poor adherence to antidiabetic therapy in patients with type 2 diabetes: a cross-sectional study insight from Ethiopia

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