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Predictors of poor glycemic control and level of glycemic control among diabetic patients in west Ethiopia.

ABSTRACT: Background:Diabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. This study aims to assess the level of glycemic control and factors contributing to uncontrolled glycemia among diabetic patients at the Nekemte Referral Hospital, West Ethiopia. Methods:A cross sectional study was conducted on diabetic patients attending the diabetes clinic of Nekemte Referral Hospital. A total of 252 study participants were included in the study. Data were collected by interviewing patients during hospital visits and reviewing respective databases. The association between dependent and independent variables was assessed using bivariable and stepwise multivariable logistic regression. A variable with a p-value < 0.05 was considered as an independent predictor. A patient's written informed consent was obtained after explaining the purpose and procedures of the study. Results:Mean age of the participants was 41.7 ± 17.6 years. The majority of the participants (67.1%) had poor knowledge about diabetes. The glycemic rate control was 40.5%; while more than half of the participants (59.5%) had poor glycemic control. On multivariable logistic analysis poor glycemic control was more likely to occur among unemployed (p < 0.001), patients with no family/social support (p = 0.024), duration of diabetes >10 years (p = 0.005), poor knowledge about diabetes (p = 0.012), taking insulin (p = 0.004) and taking metformin plus glibenclamide (p < 0.001). Conclusion:A finding of this study revealed that a glycemic control of study participants was poor. Thus greater effort is needed to improve glycemic control. Health care professionals should work on improving the adherence to anti-diabetic medications of diabetic patients and knowledge of diabetic patients on diabetes by providing education to the patients during follow up to improve glycemic control.

SUBMITTER: Dedefo MG

PROVIDER: S-EPMC7283090 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Predictors of poor glycemic control and level of glycemic control among diabetic patients in west Ethiopia.

Dedefo Mohammed Gebre MG Abate Selamu Kebamo SK Ejeta Balisa Mosisa BM Korsa Ayana Tadesse AT

Annals of medicine and surgery (2012) 20200601

<h4>Background</h4>Diabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. This study aims to assess the level of glycemic control and factors contributing to uncontrolled glycemia among diabetic patients at the Nekemte Referral Hospital, West Ethiopia.<h4>Methods</h4>A cr ...[more]

PMID: 32528672

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Project description:BackgroundDiabetes is one of the most prevalent non-communicable diseases globally, which rapidly is increasing in developing countries. Ethiopia is also facing growing morbidity and mortality related to diabetes complications. Thus, dealing with glycemic control is essential for controlling the development of devastating acute and chronic complications related to diabetes. Therefore, this study aims to assess the magnitude and predictors of poor glycemic control among diabetic patients in western Ethiopia.MethodsThe cross-sectional study design was employed on a sample of 423 diabetic patients. A systematic random sampling method was employed. An interviewer-administered structured questionnaire was used. The data entered into Epi data version 3.1 and exported into Statistical Package for the Social Sciences window version 24 for analysis. All variables significant at p-<0.25 in bivariate were entered into multivariate analysis. The multivariable logistic regressions were used to determine predictors' poor glycemic control by considering the Adjusted Odds Ratio at CI 95% and the significance level was set at p <0.05.ResultsThe magnitude of poor glycemic control was 64.1%. Being females (AOR = 1.684,95%CI = 1.066,2.662), duration of diabetes >8years (AOR = 2.552,95%CI = 1.397, 4.665), presence of diabetes complication (AOR = 2.806,95%CI = 1.594,4.941), negligence of blood glucose test at home (AOR = 1.720, 95%CI = 1.078, 2.743), poor self-care behavior (AOR = 1.787, 95%CI = 1.083,2.959) and poor self-efficacy (AOR = 1.934, 95%CI = 1.078,3.469) were significant predictors of poor glycemic control.ConclusionThe proportion of poor glycemic control was high which was nearly comparable to that reported from many countries. This could be due to factors that were significantly associated with poor glycemic control like lack of home blood glucose test, increased duration of diabetes, presence of diabetes complications, poor self-efficacy, and poor self-care behaviors. Each were significant independent predictors of poor glycemic control. Thus, we recommend patients with diabetes and health care providers enhancing self-monitoring practices, and preventing potential complications should be a priority concern to improve blood glucose levels. Further studies are also recommended to explore important factors which were not identified by the current study.

Project description:PurposeTo examine the association of individual and combined indicators of diabetes control with diabetic retinopathy and diabetic macular edema.Materials and methodsIn this clinical, cross-sectional study, 613 adults with type 2 diabetes (372 any diabetic retinopathy; 183 any diabetic macular edema) were examined. Diabetic retinopathy was assessed from fundus photographs; diabetic macular edema from Ocular Coherence Tomography scans; and HbA1c and serum lipid values from fasting blood samples. Poor glucose control was defined as HbA1c≥7%; poor blood pressure control as SBP≥130/DBP≥80; and poor lipid control as total cholesterol:HDL ratio≥4.0. The association of poor glucose control, poor blood pressure control and poor lipid control alone and in combination (poor glucose & blood pressure control; poor glucose & lipid control; poor blood pressure & lipid control; and poor glucose, blood pressure & lipid control) with diabetic retinopathy/diabetic macular edema was examined using multiple logistic regression models.ResultsPatients' mean±standard deviation age was 64.9±11.6 years (57% male). In adjusted models, compared to those with good control of all indicators (n = 99, 18.3%), the odds ratio (95% Confidence Interval) of having any diabetic retinopathy was 2.44 (1.34-4.46), 3.75 (1.75-8.07), 4.64 (2.13-10.12) and 2.28 (1.01-5.16) for poor glucose control only; poor glucose & blood pressure control; poor glucose & lipid control; and poor glucose, blood pressure & lipid control, respectively. Correspondingly for diabetic macular edema, they were 3.19 (1.55-6.59); 3.60 (1.58-8.22); 2.76 (1.18-6.44); and 3.01 (1.18-7.67), respectively. Odds were not significantly increased for other indicators.DiscussionCompared to individual indicators of poor diabetes control, risk of diabetic retinopathy and diabetic macular edema increased three to fourfold with a combination of these indicators. Targeting combined diabetes control indicators is important to reduce risk of diabetic retinopathy/diabetic macular edema.

Project description:BackgroundDiabetes is one of the biggest worldwide health emergencies of the 21st century. A major goal in the management of diabetes is to prevent diabetic complications that occur as a result of poor glycemic control. Identification of factors contributing to poor glycemic control is key to institute suitable interventions for glycemic control and prevention of chronic complications.MethodsA hospital-based cross-sectional study was conducted among 305 adult type 2 diabetic patients at public hospitals in Hadiya zone from March 1-30, 2019. The study participants were selected by systematic sampling technique. Data were collected using a pretested structured questionnaire and patient chart review; anthropometric and blood pressure measurements were taken. Multivariable logistic regression analysis was used to identify factors associated with poor glycemic control. Adjusted odds ratios (AOR) with respective 95% Confidence Interval (CI) and p < 0.05 were used to set statistically significant variables.ResultsOut of 305 diabetic patients, 222 (72.8%) were found to have poor glycemic control. Longer duration of diabetes (5-10 years) [AOR = 2.24, 95% CI: 1.17-4.27], lack of regular follow-up [AOR = 2.89, 95% CI: 1.08-7.71], low treatment adherence [AOR = 4.12, 95% CI: 1.20-8.70], use of other alternative treatments [AOR = 3.58, 95% CI: 1.24-10.36], unsatisfactory patient physician relationship [AOR = 2.27, 95% CI: 1.27-4.04], and insufficient physical activity [AOR = 4.14, 95% CI: 2.07-8.28] were found to be independent predictors of poor glycemic control. Diabetes Mellitus (DM) complications were slightly higher among participants with poor glycemic control (39.2%), duration of DM 10 and above years (41.9%), low medication adherence (48.5%), taking oral anti-diabetics (54.3%), and DM patients having unsatisfactory patient provider relationship (72.4%).ConclusionA significant proportion of diabetic patients had poor glycemic control and DM complications. Therefore, appropriate interventions are required to maintain optimal glycemic control and prevent the development of life-threatening complications among DM patients.

Project description:BackgroundDiabetes and hypertension have emerged as important clinical and public health problems in Ethiopia. The need to have long-term sustainable healthcare services for patients with diabetes and hypertension is essential to enhance good treatment control among those patients and subsequently delay or prevent complications. A collective shift towards acute care for COVID-19 patients combined with different measures to contain the pandemic had disrupted ambulatory care. Hence, it is expected to have a significant impact on treatment control of hypertensive and diabetic patients. However, there is limited evidence on the effect of the pandemic on treatment control and its determinants. Therefore, this study aimed to assess the effect of COVID-19 pandemic on treatment control of ambulatory Hypertensive and Diabetic patients and identify the factors for poor treatment control in North West Ethiopia.MethodsA retrospective chart review and cross-sectional survey design were conducted between December 2020 and February 2021. Using a stratified systematic random sampling technique, 836 diabetic and/or hypertensive patients were included in the study. Web-based data collection was done using Kobo collect. The changes in the proportion of poor treatment control among ambulatory Hypertensive and/or Diabetic patients during the COVID-19 pandemic period were assessed. A multivariable binary logistic regression mixed model was fitted to identify the determinants of poor treatment control. The odds ratios were reported in both crude and adjusted form, together with their 95% confidence intervals and p-values.ResultPoor treatment control increased significantly from 24.81% (21.95, 27.92) prior to the COVID-19 pandemic to 30.33% (27.01, 33.88), 35.66% (32.26, 39.20), 36.69% (33.40, 40.12), and 34.18% (3102, 37.49) in the first, second, third, and fourth months following the date of the first COVID-19 case detection in Ethiopia, respectively. Marital status (AOR = 0.56, 95%CI; 0.41, 0.74), regimen of medication administration (AOR = 1.30, 95%CI; 1.02, 166), daily (AOR = 0.12, 95%CI; 0.08, 0.20), twice (AOR = 0.42, 95%CI; 0.30. 0.59), and three times (AOR = 0.31, 95%CI; 0.21, 0.47) frequency of medication, number medications taken per day (AOR = 0.79, 95%CI;0.73, 0.87), patients habits like hazardous alcohol use (AOR = 1.29, 95%CI; 1.02, 1.65) and sedentary lifestyle (AOR = 1.72,95%CI;1.46, 2.02), missed appointment during the COVID-19 pandemic (AOR = 2.09, 95%CI; 1.79, 2.45), and presence of disease related complication (AOR = 1.11, 95%CI; 0.93, 1.34) were significantly associated with poor treatment control among Diabetic and/or hypertensive patients during the COVID-19 pandemic.ConclusionThe COVID-19 pandemic had a substantial impact on ambulatory Diabetic and/or Hypertensive patients' treatment control. Being married, as well as the frequency and types of medicines taken per day were all found to be negatively associated with poor treatment control. During the COVID -19 pandemic, patients' habits such as hazardous alcohol use and sedentary lifestyle, longer follow-up time, having disease-related complication (s), patients taking injectable medication, number of medications per day, and missed appointments were positively associated with poor treatment control in ambulatory diabetic and hypertensive patients. Therefore, it is better to consider the risk factors of poor treatment control while designing and implementing policies and strategies for chronic disease control.

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Predictors of poor glycemic control and level of glycemic control among diabetic patients in west Ethiopia.

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Predictors of poor glycemic control and level of glycemic control among diabetic patients in west Ethiopia.

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