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Glycemic control and associated factors among type 2 diabetic patients at Shanan Gibe Hospital, Southwest Ethiopia
BMC Research Notes volume 10, Article number: 597 (2017)
The aim of this study was to assess the rate of glycemic control and factors affecting glycemic control in type 2 diabetic patients.
A total of 174 type 2 diabetic patients were interviewed and were studied. Mean age of the patients was 48.98 ± 14.96 years (range 18–80 years). More than half (51.7%) of the patients were males. About a third of patients, 53 (30.5%), were on antidiabetic medications for less than 5 years. The most common prescribed antidiabetic medications were insulin, 48 (27.6%), and metformin 15 (8.6%). One hundred seven (61.5%) patients were on combination therapy (two drug treatment) and the remaining patients were on monotherapy. The majority, 103 (59.2%), of patients had uncontrolled blood glucose. A larger proportion of female patients, 54 (52.4%), had uncontrolled blood glucose than males. Level of education (p < 0.001) and duration of diabetes treatment (p < 0.001) were significantly associated with glycemic control. Adherence of patients to regular follow up (Adjusted Odds Ratio (AOR) = 2.42, 95% CI 1.08–5.44, p = 0.03) and diabetes treatment for 5–10 years (AOR = 4.64, 95% CI 1.79–12.06, p = 0.002) are found to be independent predictors of glycemic control among type 2 diabetes patients.
Diabetes mellitus (DM) is a metabolic disorder that may be caused by multiple etiologies. It is characterized by chronic hyperglycemia due to defects in insulin secretion, insulin action, or both . There are four types of diabetes mellitus: type 1 diabetes, type 2 diabetes, gestational diabetes, and other specific types .
Type 2 diabetes constitutes about 85–95% of all diabetes in high-income countries with a higher percentage in low- and middle-income countries due to rapid socio-cultural changes, ageing populations, increasing urbanization, reduced physical activity and unhealthy lifestyle and behavioral patterns [2, 3]. It is a leading cause of blindness, end stage renal disease and stroke. These complications are two to five times more common among diabetic patients . Type 2 diabetes is associated with increased morbidity and mortality compared with the general population . About 80% of diabetes deaths occur in low and middle income countries .
Evidence shows that the main therapeutic goal for all diabetes patients is maintaining good glycemic control so as to prevent organ damage and micro-vascular and macro-vascular complications. However, the majority of patients fail to achieve good glycemic control and the reasons for poor glycemic control are complex and multi factorial [7, 8]. Patients with poor glycemic control may experience many symptoms of diabetes, possible cognitive impairment, immune dysfunction, and hospital admissions and complications [6, 9].
In Ethiopia, the prevalence of diabetes admission has increased from 1.9% in 1970 to 9.5% in 1999 of all medical admissions  most importantly uncontrolled blood glucose due to non-compliance to antidiabetic medications . As to the authors’ knowledge, studies on the rate of glycemic control in type 2 diabetes patients in Southwest Ethiopia are limited. The aim of this study was to assess the rate of glycemic control and factors affecting glycemic control in type 2 diabetic patients on follow-up at Shanan Gibe Hospital, Southwest Ethiopia.
Research methods and patients
A cross sectional study was conducted at Shanan Gibe Hospital from February to March, 2016. Shanan Gibe Hospital is a public hospital which serves both inpatients and out patients. It is located in Jimma Zone, Oromia region, Southwest Ethiopia. Diabetic patients get follow up service from the hospital twice a week.
Jimma University Institutional Review Board approved the research. We received a letter of permission to access data from clinical director of the hospital. To collect for demographic data, we obtained written informed consent of the study participants prior to interviews. The right of participants to withdraw from an interview at any time was maintained. We determined sample size using single population proportion formula. We studied all type 2 diabetes patients who fulfilled the inclusion criteria and visited the diabetes clinic of the hospital during the study period. The main outcome of the study was glycemic control. We trained data collectors to maintain the quality of the data. We translated an English version of the questionnaire to local language and back translated to English. The data collection tool was also pretested.
We included participants in the study with type 2 diabetes and ≥ 18 years old, patients who were on antidiabetic medication(s) treatment for at least 6 months, patients with at least three consecutive blood glucose measurements for 3 months, and patients who consented to participate. Patients with hearing problems and previously diagnosed psychiatric illness were excluded from the study. Data were collected by two trained pharmacists. We used a pretested structured questionnaire to collect data about sociodemographic characteristic. Data abstraction format was used to collect data on clinical characteristics of patients such as diagnosis, duration of illness, dosage regimen of medications, comorbidities, diabetes complications, and blood glucose measurements. A structured questionnaire was used to collect patients’ demographics.
We analyzed the data using SPSS Version 21.0 (Chicago, SPSS Inc.). We used Chi square tests to see the association between categorical variables and level of blood glucose control. To examine factors affecting medication adherence, we performed a multivariate logistic regression analysis. Variables with p < 0.25 on a univariate logistic regression analysis were entered into a multivariate logistic regression analysis model to identify independent factors that affect glycemic control. Variables with p < 0.05 were considered statistically significant with 95% level of confidence.
Operational definitions and definition of terms
Controlled blood glucose was defined as average fasting blood glucose measurement 80–130 mg/dL . Uncontrolled blood glucose was defined as patients whose average blood glucose measurements on three consecutive visits is > 130 or < 70 mg/dL. Family adherence support was defined if patients get any kind of support and/or advice from their family member related to medication (s) and life style conditions.
Baseline characteristics of patients
We studied 174 patients who visited the hospital during the study period. More than half, 90 (51.7%), of the patients were males. Mean age of the patients was 49.98 ± 14.9 years (range 18–80 years). More than a third of the patients, 74 (42.5%), attended primary school. Seventy-four (42.5%) patients did not adhere to their regular follow up at the diabetes clinic of the hospital. The majority of patients, 111 (63.8%), did not get adherence support from their families (Table 1). About a third of patients, 53 (30.5%), were on antidiabetic medications for less than 5 years. Almost half of the patients were on treatment for more than 10 years 86 (49.4%). Ninety (51.7%) patients had at least one co-morbidity. Hypertension was the major type of co-morbidity; 71 (78.9%). Seventy-one (40.8%) of the patients had ≥ 1 diabetes related complication. Diabetic neuropathy was the most common complication; 31 (43.7%).
The most common prescribed antidiabetic medication was insulin, 48 (27.6%) followed by metformin 15 (8.6%). More than half; 92 (52.9%) of the patients were taking a combination of metformin and glibenclamide (Table 2). One hundred seven (61.5%) of patients were on combination therapy (two drug treatment) and the remaining patients were on monotherapy. Sixty-two (35.6%) patients had concomitant medication(s) for the treatment of comorbidities. Enalapril was the most common prescribed concomitant medication; 47 (75.8%).
Glycemic control and factors affecting glycemic control
Fasting blood glucose readings of last three clinic visits were obtained from patients’ medical records and the mean last three fasting blood glucose measurements were used to determine the level of glycemic control. Mean fasting blood glucose measured over 3 months was 130.3 ± 30.7 mg/dL. The minimum and maximum recorded fasting blood glucose measurements were 33 and 254 mg/dL respectively. Less than half, 71 (40.8%), of the patients achieved the American Diabetes Association recommended target fasting blood glucose range (80–130 mg/dL). The majority, 103 (59.2), of patients had uncontrolled blood glucose. The rate of glycemic control was 71 (40.8%).
A larger proportion of female patients, 54 (52.4%), had uncontrolled blood glucose than males. Level of education (p < 0.001) and duration of diabetes treatment (p < 0.001) were significantly associated with glycemic control.
On a multivariable logistic regression analysis (Table 3), adherence of patients to regular follow up (adjusted odds ratio (AOR) = 2.42, 95% CI 1.08–5.44, p = 0.03) and diabetes treatment for 5–10 years (AOR = 4.64, 95% CI 1.79–12.06, p = 0.002) were found to be independent predictors of glycemic control among type 2 diabetes patients at Shanan Gibe Hospital.
This study assessed the magnitude of glycemic control and factors affecting glycemic control among type 2 diabetic patients at Shanan Gibe Hospital, Southwest Ethiopia. The mean fasting blood glucose was 130.3 ± 30.7 mg/dL. We found that the majority of patients had poor glycemic control. Adherences to regular follow up schedule and diabetes treatment for 5–10 years were predictors of glycemic control.
In our study, the mean fasting blood glucose over 3 months was 130.3 ± 30.7 mg/dL. This value is lower than the study in Malaysia  where the mean fasting blood glucose was 166.5 ± 86.4 mg/dL. It was also higher than the studies in Addis Ababa (190 ± 89.6 mg/dL)  and Jimma university specialized hospital (171 ± 63 mg/dL) , and higher than the American Diabetic Association recommendation . This higher value indicates that the rate of blood glucose in our setup is poor and does not meet the recommended target of the American Diabetes Association. This may be due to poor medication adherence, poor lifestyle conditions and, failure to adhere to regular follow up at diabetes clinic.
We found that the majority of our patients (59.2%) had uncontrolled blood glucose. The rate of uncontrolled blood glucose in our study finding is lower than the findings in Jordan , Malaysia  and India  ranging from 65.1 to 78.6%. In our study, we measured fasting blood glucose to assess glycemic control whereas in the for stated studies, glycated hemoglobin (HbA1C) was measured to assess the level of glycemic control.
The reason for the difference in the rate of glycemic control between our study and other studies may be the variation in clinical characteristics of the participants. For example, in Malay study, the participants were older than ours and the patients with duration of diabetes < 5 years in ours was 30.5% whereas in Malay it was 24.2%. In Jordan, about 50% of the patients had diabetes duration > 7 years and the majority of patients had obesity, dyslipidemia and hypertension. In addition, in Indian study, larger proportion of patients were > 50 years old. Evidence also shows that longer duration of diabetes, use of multiple medications, and old age are associated with poorly controlled blood glucose [13, 16, 18, 19].
Other studies in Ethiopia showed that the rate of uncontrolled blood glucose ranged from 48.7% based on HBA1C measurement to 70.9% on fasting blood glucose measurement [20, 21]. This is comparable to our study finding with a slightly higher value (70.9%) in only one study. The similarity of our study finding with other local studies may be due to similar characteristics of the study patients and similar diabetes management practice.
The rate of uncontrolled blood glucose in our study finding was higher than the study findings in Nigeria , China , Brazil , Mexico  and the United States . Level of uncontrolled blood glucose in these countries ranged from 12.9 to 57%. This variation could be due to differences in patient characteristics and differences in diabetes management practices. For example, in our study, the rate of illiteracy was high and regular follow up of diabetes patients was minimal. In addition, appropriate diabetes management guideline was used in other studies while no diabetes management guideline was used in the management of type 2 diabetes in our hospital. Moreover, fasting blood glucose was measured to assess the level of glycemic control in our setup while glycated hemoglobin was used in the studies we compared.
In our study, the number of illiterate patients with uncontrolled blood glucose was high and about half (48.3%) of them had uncontrolled blood glucose. Education level was also significantly associated with glycemic control in our study. The possible explanation could be illiterate patients may have low diabetes knowledge, low self-management behaviors, lower self-efficacy and lower continuity of care leading to poor glycemic control. However, in contrast to our study finding, in the United Kingdom, patients with lower level of educational had better compliance to medications and more trust in the physicians’ advice .
The duration of diabetes mellitus was significantly associated with glycemic control. A study in Hong Kong  revealed that patients with longer duration of diabetes and more complex treatment regimens were associated with poorer glycemic control. Juarez et al.  also reported that patients who had had diabetes for 10 years were about nine times more likely to have poor glycemic control than those who had had diabetes for 3 years. A longer duration of diabetes negatively affects glycemic control, possibly because of progressive impairment of insulin secretion over time as a result of β‐cell failure. Therefore, as the disease progresses, most patients require an increase in their pharmacotherapy to maintain glycemic control.
Adherence of patients to regular follow up and diabetes treatment for 5–10 years were found to be independent predictors of glycemic control among type 2 diabetes patients. This study finding is similar to other studies [13, 18, 19]. Viana et al.  and Ramirez et al.  also reported that duration of diabetes, use of insulin, and unsatisfactory patient physician relationship were significantly associated with level of glycemic control.
In conclusion, our study finding showed that the rate of poor glycemic control was high. Level of education and duration of diabetes treatment were significantly associated with glycemic control. A longer duration of diabetes and lack of regular follow up at diabetes clinic independently affect the rate of glycemic control in type 2 diabetes patients. Therefore, we recommend that Shanan Gibe Hospital develop strategies for improving glycemic control of type 2 diabetes patients.
The study has some limitations.
The sample size was relatively small which may limit generalization of the study findings to a larger population of type 2 diabetes patients.
We used fasting blood glucose to assess level of glycemic control as there was no laboratory facility to measure glycated hemoglobin. Measurement of glycated hemoglobin would show the rate of glycemic control over 3 months while fasting blood sugar may have some drawbacks to show the true level of glycemic control.
World Health Organization. Diagnosis and classification of diabetes mellitus and its complications part 1: diagnosis and classification of diabetes mellitus world. 1999.
Sicree R, Shaw J, Zimmet P. The global burden, diabetes and impaired glucose tolerance. IDF Diabetes Atlas, 4th Ed., Baker IDI Heart and Diabetes Institute. p. 1–105.
World Health Organization. Prevention of diabetes mellitus. Technical report series no. 844. Geneva: World Health Organization; 1994.
Roman SH, Harris MI. Management of diabetes mellitus from a public health perspective. Endocrinol Metab Clin North Am. 1997;26(3):443–74.
Gall M, Borch-johnsen K, Hougaard P, Nielsen FS, Parving H. Albuminuria and poor glycemic control predict mortality in NIDDM. Diabetes. 1995;44:1303–9.
Mooradian AD. Cardiovascular disease in type 2 diabetes mellitus: current management guidelines. Arch Intern Med. 2003;163(1):33.
Othman FHA, Afiffy NA, Melegy AMRA, Mostafa OLAA. Factors affecting poor glycemic control among diabetic patients in outpatient clinic at Kar Al-Aini Hospital. Med J Cairo Univ. 2016;84(2):191–7.
Akbar DH, Al-gamdi AA. Common causes of admission in diabetics. Saudi Med J. 2000;966:539–42.
Blaum CS, Velez L, Hiss RGHJ. Characteristics related to poor glycemic control in NIDDM patients in community practice. Diabetes Care. 1997;20(1):7–11.
American Diabetes Association. Estimates for the year 2000 and projections for 2030. vol. 27. 2004.
Desse TA, Eshetie TC, Gudina EK. Predictors and treatment outcome of hyperglycemic emergencies at Jimma University Specialized Hospital, southwest. BMC Res Notes. 2015;8(553):1–8.
Association AD. Glycemic targets. Diaebetes Care. 2015;38:33–40.
Eid M, Mafauzy MFA. Glycaemic control f type 2 diabetic patients on follow up at Hospital Universiti Sains Malaysia. Malays J Med Sci. 2003;10(2):40–9.
Feleke Y, Enquselassie F. An assessment of the health care system for diabetes in Addis Ababa, Ethiopia. Ethiop J Health Dev. 2005;19(3):204–10.
Gudina EK, Amade ST, Tesfamichael FA, Ram R. Assessment of quality of care given to diabetic patients at Jimma University Specialized Hospital diabetes follow-up clinic, Jimma, Ethiopia. BMC Endocr Disord. 2011;11(1):19.
Khattab M, Khader YS, Al-khawaldeh A, Ajlouni K. Factors associated with poor glycemic control among patients with type 2 diabetes type 2 diabetes. J Diabetes Complicat. 2009;24(2):84–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jdiacomp.2008.12.008.
Gopinath B, Sri Sai Prasad M, Jayarama N, Prabhakara K. Study of factors associated with poor glycemic control in Type 2 Diabetic patients. Glob J Med Public Health. 2013;2(2):1–5.
Benoit SR, Fleming R, Philis-tsimikas A, Ji M. Predictors of glycemic control among patients with type 2 diabetes: a longitudinal study. BMC Public Health. 2005;5(36):90–5.
Adham M, Froelicher ES, Batieha A, Ajlouni K. Glycaemic control and its associated factors in type 2 diabetic patients in Amman, Jordan. East Mediterr Health J. 2010;16(7):3–10.
Eticha T, Mulu A, Gebretsadik H, Kahsay G, Ali DYR. Factors associated with poor glycemic control in type 2 diabetic patients investigated at Ayder Referral Hospital, Mekelle, Ethiopia. Ijppr Human. 2016;6(3):160–71.
Kassahun T, Eshetie T, Gesesew H. Factors associated with glycemic control among adult patients with type 2 diabetes mellitus: a cross-sectional survey in Ethiopia. BMC Res Notes. 2016;9(78):1–6.
Nwaokoro J, Okokon B, Nwaokoro A, Emerole C, Ibe S, Onwuliri V, Oputa R. Problems associated with treatment compliance among type 2 diabetic patients at a tertiary health institution in Nigeria. Afr J Diabetes Med. 2014;22(1):24–6.
Chen Y, Liu L, Gu L, Babineaux S, Colclough H, Curtis B. Glycemic control in Chinese patients with type 2 diabetes mellitus receiving oral antihyperglycemic medication-only or insulin-only treatment: a cross-sectional survey. Diabetes Ther. 2015;6(2):197–211.
Marczynski MA, Cortellazzi KL, Barberato-Filho S, Motta RHL, Vieira AEF, Quilici MTV, et al. Unsatisfactory glycemic control in type 2 diabetes mellitus patients: predictive factors and negative clinical outcomes with the use of antidiabetic drugs. Braz J Pharm Sci. 2016;52(4):801–12.
Ramirez LDH, Soto AF, Valenzuela CLC, Ochoa MC, Gonzalez HR, Lopez MCM. Factors influencing glycemic control in patients with diabetes type 2 in Mexican patients. J Fam Med. 2016;3(2):1–6.
Ali MK, McKeever Bullard K, Imperatore G, Barker L, Gregg EW, Centers for Disease Control and Prevention (CDC). Characteristics associated with poor glycemic control among adults with self-reported diagnosed diabetes—National Health and Nutrition Examination Survey, United States, 2007–2010. MMWR Suppl. 2012;61(2):32–7.
Senior V, Marteau TM, Weinman J. Self-reported adherence to cholesterol-lowering medication in patients with familial hypercholesterolaemia: the role of illness perceptions. Cardiovasc Drugs Ther. 2004;18(6):475–81.
Juarez DT, Sentell T, Tokumaru S, Goo R, Davis JW, Mau MM. Factors associated with poor glycemic control or wide glycemic variability among diabetes patients in Hawaii, 2006–2009. Prev Chronic Dis. 2012;9:120065.
Viana LV, Leitão CB, Kramer CK, Zucatti ATN, Jezini DL, Felício J, et al. Poor glycaemic control in Brazilian patients with type 2 diabetes attending the public healthcare system: a cross-sectional study. BMJ Open. 2013;3(9):e003336.
DMY involved in the conception and design of the study, developed data collection tools, supervised data collection and involved in data analysis. TAD involved in the conception and design of the study, developed data collection tools, supervised data collection and the overall research, analyzed data and wrote the manuscript. Both authors read and approved the final manuscript.
We would like to acknowledge the study patients and data collectors for their cooperation.
The authors declare that they have no competing interests.
Availability of data and materials
The supporting documents for this study can be available from the corresponding author upon request.
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Institutional review board of Jimma University approved this study and written informed consent was obtained from patients to participate in this study.
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Yigazu, D.M., Desse, T.A. Glycemic control and associated factors among type 2 diabetic patients at Shanan Gibe Hospital, Southwest Ethiopia. BMC Res Notes 10, 597 (2017). https://0-doi-org.brum.beds.ac.uk/10.1186/s13104-017-2924-y
- Diabetes mellitus
- Type two diabetes
- Glycemic control