Factors Associated with Poor Hemoglobin A1c Control in Patients with Type 2 Diabetes

2019 ◽  
Vol 15 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Salam Alqudah ◽  
Anan S. Jarab ◽  
Eman A. Alefishat ◽  
Fadia Mayyas ◽  
Maher Khdour ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Hemoglobin A1c ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Clinical Pharmacy Service ◽  
Diabetes Clinic ◽  
Factors Associated

Background: The limited implementation of clinical pharmacy service programs and the lack of studies identifying barriers to achieve blood glucose control have all attributed to the increased proportion of type 2 diabetes patients who have poor glycemic control in Jordan. Objective: To explore factors associated with higher HbA1c in patients with type 2 diabetes in Jordan. Methods: Variables including socio-demographics, disease and treatment factors were collected from171 patients with type2 diabetes at an outpatient diabetes clinic in Amman. Validated questionnaires were used to assess medication adherence, self-care activities, diabetes knowledge and healthrelated quality of life in addition to data collected from medical records. After the single-predictor analysis, stepwise linear regression was performed to develop a model with variables that best predicted hemoglobin A1c. Results: Medication adherence was inversely associated with HbA1c values (β = -0.275; t = 2.666; P < 0.01), indicating better glycemic control. Receiving insulin therapy was also associated with less HbA1c values and better glycemic control (β = - 0.184; t = 2.080; P < 0.05). Patients who had one or more comorbid conditions (β = 0.215; t = 2.264; P < 0.05) and those with longer diabetes duration (β = 0.092; t = 1.339; P < 0.05) were found to have significantly higher HbA1c values. Conclusion: Emphasizing medication adherence, particularly for patients with longer duration of diabetes and those with multiple comorbid diseases should be strongly considered in future diabetes management programs implemented to improve glycemic control in patients with type 2 diabetes.

scholarly journals Glycemic control and its association with sociodemographics, comorbid conditions, and medication adherence among patients with type 2 diabetes in southwestern Nigeria

2021 ◽  
Vol 49 (10) ◽  
pp. 030006052110440
Author(s):  
Azeez Oyemomi Ibrahim ◽  
Segun Mattew Agboola ◽  
Olayide Toyin Elegbede ◽  
Waheed Olalekan Ismail ◽  
Tosin Anthony Agbesanwa ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Older Age ◽  
Poor Glycemic Control ◽  
Comorbid Conditions ◽  
Southwestern Nigeria ◽  
Factors Associated ◽  
Poor Medication Adherence

Objective We determined the prevalence of poor glycemic control and associations with sociodemographics, comorbid conditions, and medication adherence among patients with type 2 diabetes mellitus (T2DM) at a tertiary hospital in southwestern Nigeria. Methods We conducted a retrospective observational study among 300 patients with T2DM using systematic random sampling. We used a semi-structured questionnaire to collect information on respondents’ sociodemographic profile, lifestyle, comorbid conditions, and antidiabetic medications. Adherence was determined using the Morisky Medication Adherence Scale. Fasting blood samples were tested using a glycated hemoglobin marker. Multivariate logistic regression was used to identify factors associated with poor glycemic control. Results Respondents’ mean age was 61.9 ± 11.8 years. The prevalence of poor glycemic control was 40.0% (95% confidence interval [CI]: 34.4%–45.8%). The adjusted odds ratio (95% CI) for factors associated with poor glycemic control was 2.522 (1.402–4.647) for older age, 1.882 (1.021–3.467) for low income, 1.734 (1.013–3.401) for obesity, 2.014 (1.269–5.336) for non-initiation of insulin therapy, and 1.830 (1.045–3.206) for poor medication adherence. Conclusion Older age, lower income, obesity, non-initiation of insulin, and poor medication adherence were associated with poor glycemic control. These variables may help clinicians identify patients at high risk of poor glycemic control.

scholarly journals Glycemic control among primary care patients with type 2 diabetes mellitus in the Gaza Strip, Palestine

2017 ◽  
Vol 9 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Mahmoud Radwan ◽  
Aymen Elsous ◽  
Hasnaa Al-Sharif ◽  
Ayman Abu Mustafa
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Health Literacy ◽  
Glycemic Control ◽  
Older Age ◽  
Good Glycemic Control ◽  
Factors Associated

Aim: In this study, we aimed to assess the level of good glycemic control, to determine association between adherence to antidiabetic medications and glycosylated hemoglobin (HbA1c) and to examine factors influencing good glycemic control. Materials and methods: A cross-sectional design was employed among 369 patients with type 2 diabetes mellitus (T2DM) from four Ministry of Health health centers in 2016. A sample of 3 ml blood was taken to measure the HbA1c, and patients were asked to fill out a pretested questionnaire. Univariate and multivariate logistic regressions, to identify independent factors associated with good glycemic control, were conducted using SPSS software version 22 (IBM Corp, Armonk, NY, USA). Results: Mean [±standard deviation (SD)] of HbA1c was 8.97 (2.02) and one fifth of patients had good glycemic control (HbA1c ⩽ 7%). Factors associated with good glycemic control were: older age [odds ratio (OR) = 0.96, 95% confidence interval (CI): 0.933–0.988), high medication adherence (OR: 2.757, 95% CI: 1.308–4.693), and better health literacy (OR= 2.124, 95% CI: 1.917–4.921). Duration of diabetes mellitus (DM > 7 years) was inversely related to good glycemic control (OR = 2.255, 95% CI: 1.189–4.276). Conclusion: Our study showed that glycemic control was suboptimal, and factors associated with that were: older age, high medication adherence, and better health literacy. Knowledge of these factors could be an entry toward helping patients and targeting interventions to improve glycemic control and prevent diabetes-related complications.

scholarly journals The Impact of Family Support on Medication Adherence and Glycemic Control of Type 2 Diabetes Outpatients in a Nigerian Tertiary Hospital

2019 ◽  
pp. 295-300
Author(s):  
Chigozie Gloria Anene-Okeke ◽  
Maxwell Ogochukwu Adibe ◽  
Chinwe Victoria Ukwe ◽  
Cletus Nze Aguwa
Keyword(s):  
Type 2 Diabetes ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Family Support ◽  
Diabetes Management ◽  
Statistical Significance ◽  
Fasting Blood Glucose ◽  
Self Care ◽  
The Impact

Background: Diabetes management rarely target family support as a means of promoting diabetes self-care behaviour among adults. The potential influence of family member on individuals with Type 2 diabetes has not been fully explored. The study aims to examine the impact of family support on medication adherence and glycemic control of their Type 2 diabetes out-patients in a tertiary hospital.Methods: The study was a prospective cross-sectional survey conducted on Type 2 diabetes out-patients attending endocrinology clinic at the University of Nigeria Teaching Hospital (UNTH) between October 2013 and April 2014. The Diabetes Family Behavioral Checklist (DFBC-13) was used to assess family support while the MMAS-8 (Morisky medication Adherence Scale) was used to assess medication adherence. Fasting blood glucose readings were obtained from patients’ case files.Data were analysed using SPSS (Statistical package for social sciences) version 16 and level of statistical significance set at p<0.05. Result:  A total number of 250 patients were assessed. The mean score for family support was 42 of 65 (range 13 to 65). Family support score (diet, glucose, exercise, diabetic self-care) associated with educational status (socio-demographic characteristics) r = 0.171** p = 0.007. Family support was inversely correlated to adherence and glycemic control (-0.161**, P = 0.011, r = -0.098, p = 0.147) respectively. Medication adherence was low as only 1.6% of the respondents adhered to their medication.Conclusion: Family support had little influence on medication adherence and glycemic control.

Risk Factors Associated With Hyperuricemia in Patients with Diabetes Type 2: About 190 Cases

2020 ◽  
Vol 2 (1) ◽  
pp. 12-16
Author(s):  
Fennoun H ◽  
Haraj NE ◽  
El Aziz S ◽  
Bensbaa S ◽  
Chadli A
Keyword(s):  
Type 2 Diabetes ◽  
Heart Disease ◽  
Glycemic Control ◽  
Ischemic Heart Disease ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Ischemic Heart ◽  
Factors Associated ◽  
Patients With Diabetes

Introduction: Hyperuricemia is common Type 2 diabetes at very high cardiovascular risk. Objective: Evaluate the relationship between hyperuricemia and diabetes type 2, and determine its predictive factors in this population. Patients and Methods: Retrospective study cross including 190 patients with diabetes type 2 hospitalized Service of Endocrinology of CHU Ibn Rushd Casablanca from January 2015 to December 2017. Hyperuricemia was defined as a serum uric acid concentration> 70 mg/L (men) and> 60 mg/L (women). The variables studied were the anthropometric measurements), cardiovascular factors (tobacco, hypertension, dyslipidemia), and degenerative complications (retinopathy, neuropathy, kidney failure, ischemic heart disease). The analyzes were performed by SPSS software. Results: Hyperuricemia was found in 26.5% of patients with a female predominance (76%), an average age of 55.9 years, and an average age of 12.4ans diabetes. The glycemic control was found in 84.6% of cases with mean glycated hemoglobin 8.6%. Factors associated al hyperuricemia were the blood pressure in 86% (p <0.05), dyslipidemia in 76.3% of cases (p <0.001) with hypertriglyceridemia in 48.3% of cases (p <0.02), and a hypoHDLémie 28% (p <0.001). The age, obesity, smoking, and glycemic control were associated significantly n al hyperuricemia. The research of degenerative complications of hyperuricemia has objectified renal impairment (GFR between 15 and 60ml / min) chez47% (p <0.001), it was kind of moderate in 35.8% (p <0.01) and severe in 5.1% (p <0.02), ischemic heart disease was found in 34% of cases (p <0.01). Conclusion: In our study, hyperuricemia in type 2 diabetes is common in female patients, especially with hypertension, dyslipidemia, and renal failure. Other factors such as age, obesity, smoking is not associated with hyperuricemia in type 2 diabetics.

scholarly journals Factors determining chance of type 2 diabetes remission after Roux-en-Y gastric bypass surgery: a nationwide cohort study in 8057 Swedish patients

2021 ◽  
Vol 9 (1) ◽  
pp. e002033
Author(s):  
Erik Stenberg ◽  
Torsten Olbers ◽  
Yang Cao ◽  
Magnus Sundbom ◽  
Anders Jans ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Gastric Bypass ◽  
Metabolic Surgery ◽  
First Generation ◽  
Hemoglobin A1c ◽  
Diabetes Remission ◽  
Factors Associated ◽  
Generation Immigrant

IntroductionBariatric and metabolic surgery is an effective treatment option for type 2 diabetes (T2D). Increased knowledge regarding factors associated with diabetes remission is essential in individual decision making and could guide postoperative care. Therefore, we aimed to explore factors known to affect the chance of achieving diabetes remission after bariatric and metabolic surgery and to further investigate the impact of socioeconomic factors.Research design and methodsIn this nationwide study, we assessed all patients with T2D who underwent Roux-en-Y gastric bypass (RYGB) surgery between 2007 and 2015 in the Scandinavian Obesity Surgery Registry. Remission was defined as absence of antidiabetic medication for T2D 2 years after surgery. Multivariable logistic regression was used to evaluate factors associated with diabetes remission, with missing data handled by multiple imputations.ResultsA total of 8057 patients were included. Mean age±SD was 47.4±10.1 years, mean body mass index 42.2±5.7 kg/m2, mean hemoglobin A1c 59.0±17.33, and 61.7% (n=4970) were women. Two years after surgery, 6211 (77.1%) patients achieved T2D remission. Preoperative insulin treatment (OR 0.26, 95% CI 0.22 to 0.30), first-generation immigrant (OR 0.66, 95% CI 0.57 to 0.77), duration of T2D (OR 0.89, 95% CI 0.88 to 0.90), dyslipidemia (OR 0.71, 95% CI 0.62 to 0.81), age (OR 0.97, 95% CI 0.96 to 0.97), and high glycosylated hemoglobin A1c (HbA1c) (OR 0.99, 95% CI 0.98 to 0.99) were all associated with lower T2D remission rate. In contrast, residence in a medium-sized (OR 1.39, 95% CI 1.20 to 1.61) or small (OR 1.46, 95% CI 1.25 to 1.71) town and percentage of total weight loss (OR 1.04, 95% CI 1.03 to 1.04) were associated with higher remission rates.ConclusionAmong patients with T2D undergoing RYGB surgery, increasing age, HbA1c, and diabetes duration decreased the chance of reaching diabetes remission without cut-offs, while postoperative weight loss demonstrated a positive linear association. In addition, being a first-generation immigrant and living in a large city were socioeconomic factors having a negative association.

scholarly journals Pengaruh Pelayanan Kefarmasian di Rumah pada Pasien Diabetes Melitus Tipe 2 di Puskesmas Wilayah Kota Yogyakarta

2020 ◽  
Vol 10 (2) ◽  
pp. 126
Author(s):  
Nur Rasdianah ◽  
Suwaldi Martodiharjo ◽  
Tri Murti Andayani ◽  
Lukman Hakim
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Blood Sugar ◽  
Fasting Blood Sugar ◽  
Level Of Knowledge ◽  
Sugar Levels

The increasing prevalence of diabetes mellitus (DM) in Indonesia requires participation of all parties including pharmacists. This study aims to determine the impact of the implementation of home pharmacy service guidelines for patients with type 2 diabetes mellitus on the level of knowledge, medication adherence, therapeurical satisfaction and glycemic control. This study used a quasi-experimental design with one group pre-test and post-test design involving 37 patients with type 2 diabetes mellitus who met the requirements of inclusion and exclusion criterias. The Diabetes Knowledge Questionnaire (DKQ-24) and the Diabetes Medication Satisfaction Tool (DMSAT) were used for collecting the data. Patient adherence was measured using a pillcount method and fasting blood sugar levels (FSB) data were obtained from the laboratory results. The study was conducted in two community health centers and patient’s home in the Yogyakarta Municipality area. The data were analysed using Wilcoxon and Spearman test. The results showed the change of the level of knowledge, medication adherence, therapeutic satisfaction and glycemic control before and after intervention of pharmacy services at home. The average decreasing of fasting blood sugar levels 17.09 mg/dL ± 1.43

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