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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:BACKGROUND:Diabetes Mellitus recognized as one of the emerging public health problems in developing countries. Self-monitoring needs to be individualized and should assist people with diabetes. This study aimed to assess the predictors of self-management practices among diabetic patients attending hospitals in western Oromia, Ethiopia. METHODS:A facility-based cross-sectional study was conducted from November 2017 to February 2018 in hospitals located in western Oromia, Ethiopia. An interview was made with a total of 400 diabetic patients attending the diabetes center and admitted to ward in the study hospitals. The data were entered into Epi Info software version 3.5.4. Data analysis was made using a statistical package for the social sciences (SPSS) version 20. Odds ratio (OR) was used to show the association. The statistical significance was considered at P<0.05, and potential confounding variables were controlled using logistic regression. The analyzed data were presented in texts and tables. RESULTS:From a total of 398 interviewed patients, 129 (32.4%) practiced diabetes self-management. About 63.6% of the study participants' self-management practice was good. Most 103 (79.84%) of those who practiced self-management were presented with one of diabetes mellitus-related complications. Logistic regression analysis results showed that merchants were about six times higher in self-management practice [AOR of 5.945 (1.177-30.027 at 95% CI)] and those having family support in diabetes practiced self-management 2.87 times than others [AOR of 2.835 (1.386-5.801 at 95% CI)]. CONCLUSIONS:Compared to the findings of previous studies, diabetes self-management practices of the participants was good. The study participants regular physical activity, food intake, medication adherence, and foot self-examination were moderate. Two variables, being a merchant and having family support were found to be the predictors of self-management practices. Predictors of self-management should be considered to boost self-management practice.

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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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