Factors associated with good glycemic control among patients with type 2 diabetes mellitus

Trajectory of haemoglobin A1c and incidence of cardiovascular disease in patients with type 2 diabetes mellitus

AIM

To evaluate the association between changes in haemoglobin A1c (HbA1c) and the concurrent incidence of cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM) patients.

METHOD

We conducted a retrospective cohort study among T2DM patients with HbA1c measurement after T2DM diagnosis between August 2009 and September 2010. The patients were classified into six subgroups based on baseline HbA1c (<7%; 7%-7.9%; ≥8%) and age (<65; ≥65 years), and then clustered into classes by HbA1c trajectory and CVD incidence over the 12-year follow-up period using joint latent class mixture models. We explored the HbA1c trajectories and CVD incidences in each latent class. Multinomial logistic regression was used to compare the baseline characteristics among different latent classes.

RESULTS

A total of 128 843 T2DM patients were included with a median follow-up period of 11.7 years. Ten latent classes were identified in patients with baseline HbA1c ≥ 8% and age <65 years, while seven classes were identified in the other five groups. Among all the identified latent classes, patients with fluctuating HbA1c trajectories, characterized by alternating periods of increase and decrease, had higher CVD incidences. Male patients, and patients with higher baseline HbA1c and use of antidiabetic drugs were more likely to have a fluctuating HbA1c trajectory. More specifically, patients aged < 65 years with younger age or a smoking habit, and patients aged ≥ 65 years with a longer duration of T2DM were more likely to have a fluctuating HbA1c trajectory.

CONCLUSION

We found that T2DM patients with fluctuating HbA1c trajectories could have a higher CVD risk. Different trajectory-associated characteristics in age subgroups highlight the need for individualized management of T2DM patients.

Efficacy and safety of cofrogliptin once every 2 weeks in Chinese patients with type 2 diabetes: A randomized, double-blind, placebo-controlled, phase 3 trial

AIM

We conducted a multicentre, randomized phase 3 trial in China to evaluate the efficacy and safety of cofrogliptin (HSK7653), a novel long-acting dipeptidyl peptidase-4 inhibitor, in patients with drug-naïve type 2 diabetes (T2D).

MATERIALS AND METHODS

Patients with inadequately controlled T2D were randomly assigned (1:1:1) to cofrogliptin 10 mg, cofrogliptin 25 mg or placebo, taken orally once every 2 weeks for a 24-week double-blind period. Eligible patients then received cofrogliptin 25 mg in a 28-week open-label extension. The primary endpoint was the change in glycated haemoglobin (HbA1c) from baseline to week 24.

RESULTS

In total, 475 patients (median age: 54.0 years) were randomized and received at least one dose of cofrogliptin 10 mg (n = 158), cofrogliptin 25 mg (n = 158) or placebo (n = 159); 401 patients entered the open-label extension. At week 24, the least-squares (LS) mean difference (95% confidence interval [CI]) in HbA1c versus placebo was -0.63% (-0.81, -0.46) with cofrogliptin 10 mg and -0.59% (-0.77, -0.42) with cofrogliptin 25 mg (both p < 0.0001). The LS mean (standard error) change in HbA1c from baseline was maintained at the end of the study in patients given open-label cofrogliptin 25 mg for an additional 28 weeks: cofrogliptin 10 mg: -0.86% (0.07); cofrogliptin 25 mg: -0.74% (0.07); placebo: -0.89% (0.07). Over the entire study, common adverse events were hyperuricaemia, hyperlipidaemia, hypertriglyceridaemia, increased lipase, upper respiratory tract infection and urinary tract infection. Hypoglycaemic events did not significantly differ between groups.

CONCLUSIONS

Cofrogliptin provided glycaemic control over 52 weeks and was generally well tolerated in patients with T2D.

CLINICAL TRIAL REGISTRATION

Registered on Clinicaltrials.gov with the registration number NCT04556851 (https://clinicaltrials.gov/study/NCT04556851).

The role of social support and self-management on glycemic control of type 2 diabetes mellitus with complications in Ghana: A cross-sectional study

Background and Aims

Diabetes mellitus (DM) can result in detrimental complications which are connected with long-term impairments and disabilities. Chronic complications are well-known consequences of type 2 diabetes mellitus (T2DM) progression, which reduce patient quality of life, place a burden on the healthcare system, and increase mortality. Measures to promote health outcomes for people with DM are scanty; the study therefore aimed at determining the effects of self-management and social support on glycemic control of T2DM with complications in Ghana.

Methods

A cross-sectional design using convenience sampling was conducted on 400 T2DM patients using Hensarling's Diabetes Family Support Scale and Summary of Diabetes Self‑Care Activities scale. Data analysis was conducted using descriptive, Pearson Moment Product Correlation and Binary Logistic Regression on self-management, social support, and glycemic control in T2DM patients.

Results

Social support among participants was high and there was a positive correlation or relationship between social support and T2DM self-management. There was a correlation between social support and self-management (r = 0.149, p < 0.05) and diet control (r = 0.221, p < 0.05). The results also showed a significant correlation between medication adherence and glycemic management (r = 0.116, p < 0.05) while female T2DM participants, individuals with at least primary education were less likely to have low self-management relative to T2DM.

Conclusion

Though the level of T2DM self-management was high it does not translate to good glycemic control. Focused health education programs should be incorporated into patients' care plans which will be particularly relevant for patients with T2DM and will contribute to positive physiological and psychological outcomes. Furthermore, a more robust monitoring and follow-up scheme should be scaled up or instituted for patients with T2DM.

Determinants of poor glycemic control among type 2 diabetes in Ethiopia: a systematic review and meta-analysis

Introduction

Prior primary studies have examined the prevalence and factors associated with glycaemic control among patients with type 2 diabetes mellitus, but studies with evidence-based synthesis of the primary data remained unknown. Hence, we aimed to determine the prevalence of poor glycemic control and identify determinants of poor glycemic control in patients with type 2 diabetes in Ethiopia.

Methods

We performed searches in the online databases of PubMed, Google Scholar, Scopus, Science Direct, and the Cochrane Library. Microsoft Excel was used to extract data, and STATA statistical software (v. 16) was used for analysis. Publication bias was explored by forest plots, Begg's rank test, and Egger's regression test. To check for heterogeneity, I2 was computed. Subgroup analysis was conducted based on region and publication year. In addition, the pooled odds ratio for associated factors was calculated.

Results

Out of 1,045 studies assessed, 23 studies were included fulfilling our inclusion criteria. In all, 6,643 individuals were enrolled in the study. It was estimated that 61.11% of type 2 diabetes patients had poor glycemic control (95% CI, 57.14-65.19). The subgroup analysis by study region and publication year revealed that the highest prevalence was observed in the Addis Ababa region (68.57%) and studies published before 2019 (61.76%), respectively. Poor glycemic control was associated with older age > 50 years (AOR = 2.12; 95% CI: 1.27-2.97), not attending formal education (AOR = 3.60; 95% CI: 2.75, 4.46), having diabetes for longer duration (10 years; AOR = 2.57; 95% CI: 1.65-3.49), having comorbidity (AOR = 2.43; 95% CI: 2.05-2.80), and low adherence to diabetes management (AOR = 3.67; 95% CI: 2.41-4.92).

Conclusion

Our findings indicate a high prevalence of poor glycemic control among people with type 2 diabetes in Ethiopia. Being older, not attending formal education, having a longer duration of diabetes, having comorbidity, and having low adherence to diabetes management were all associated. Therefore, we recommend health organizations implement measures to monitor and control patients' blood glucose levels. Patient education and training of healthcare professionals could serve as a short-term strategy to achieve adequate glycemic control.

Systematic review registration

PROSPERO, identifier CRD42022349792, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022349792.

Glycemic control and associated factors among type 2 diabetes mellitus patients: a cross-sectional study of Azar cohort population

BACKGROUND

Despite the growing prevalence of diabetes and its complications, there is a dearth of data regarding factors associated with glycemic control. Therefore, in this cross-sectional study, we aimed to identify factors influencing glycemic control in patients with type 2 diabetes mellitus (T2DM) in the Iranian population.

METHODS

This cross-sectional study was conducted among the Azar cohort population and the glycemic control status of patients with T2DM was investigated. Possible risk factors including age, sex, marital status, educational level, smoking status, sleep duration, family history of diabetes and hypertension, socioeconomic status, physical activity level, and co-existence of other chronic diseases and their relationship with glycemic control status were also assessed. Multivariate logistic regression analysis was used to identify determinants of glycemic control.

RESULTS

Among 1,710 T2DM patients (60.2% female), the overall prevalence of poor glycemic control was 56.8%. In the unadjusted logistic regression analysis model, a low wealth score index significantly increased the risk of poor glycemic control (OR: 1.49;1.10-2.02). Variables significantly associated with poor glycemic control even after adjusting for confounding factors were first-degree family history of diabetes (OR: 1.34; 1.08-1.65), and sleep duration (OR: 1.29 ;1.02-1.62 for 6.6-8 h/d; OR:1.42;1.10-1.88 for > 8 h/d). Interestingly, we found that the co-existence of ≥ 3 chronic diseases with diabetes decreased the risk of poor glycemic control.

CONCLUSIONS

In the current study, most of the patients with T2DM had uncontrolled glycemic control. Due to the individual and social costs of diabetes complications, it is necessary to suggest tailored and effective interventions for controlling blood glucose levels in people with diabetes.

Prevalence of medication adherence and glycemic control among patients with type 2 diabetes and influencing factors: A cross-sectional study

Background

This study aimed to assess medication adherence, glycemic control, and their influencing factors among outpatients at an Indonesian clinic with type 2 diabetes.

Methods

A cross-sectional study was conducted among patients with type 2 diabetes at a hospital-based clinic in Surabaya, Indonesia, from September to December 2018. A purposive sampling was used; patients aged 18 years and older, had diabetes and any comorbidity, received hypoglycemic agents, and provided written informed consent were included. The previously validated Brief Medication Questionnaire was used to measure medication adherence, while glycosylated hemoglobin (A1C) levels were used to evaluate glycemic control. Binary logistic regression was used to identify factors associated with medication adherence and glycemic control.

Results

Of 321 patients enrolled in the study, 268 (83.5%) patients were medication nonadherent. Patients who did not engage regularly in physical activity (aOR: 0.49, 95% CI: 0.26-0.93) was more likely to be medication adherent. Poor glycemic control (A1C: >7%) was observed in 106 (33.0%) of the patients. Patients who used a combination of oral hypoglycemic agents and insulin (aOR: 2.74, 95% CI: 1.09-6.86), did not take biguanide (aOR: 2.73, 95% CI: 1.16-6.43), reported hyperglycemia (aOR: 4.24, 95% CI: 1.53-11.81), and had comorbid diseases (aOR: 4.33, 95% CI: 1.08-17.34) increased the risk of having poor glycemic control. Patients who were more likely to achieve good glycemic control were male (aOR: 0.39, 95% CI: 0.20-0.74) and aged older (aOR: 0.95, 95% CI: 0.92-0.99).

Conclusions

The proportion of patients who were medication nonadherent was much higher than those with poor glycemic control. Whereas regular exercise was a predictor of nonadherence, age, sex, diabetes medication, not taking biguanide, acute complications, and comorbidity were predictors of poor glycemic control. Therefore, strategies are needed to improve medication adherence and glycemic control.

Factors associated with glycemic control and diabetes complications in a group of Saudi patients with type 2 diabetes

Poor glycemic control is a risk factor for micro and macrovascular complications of diabetes. The aim of this study was to assess the prevalence and factors related to suboptimal glycemic control and diabetes complications in a group of patients with type 2 diabetes mellitus (T2DM). This cross-sectional descriptive study conducted in Al Qassim region, Saudi Arabia. Two hundred patients with T2DM were enrolled. Demographic, social, and self-care behavior data were collected. A thorough clinical evaluation was done. Glycated hemoglobin, lipid, and kidney profile results were recorded. Mann-Whitney test was used to compare different groups. For comparing categorical data, Chi-square (χ2) test was performed. Multivariate logistic regression analyses used to detect predictors of poor glycemic control and macrovascular and microvascular complications. The median age of patients was 58 years, and 62% of them were males. Only 22.5% of patients had glycated hemoglobin <7%. Forty-four patients (22%) had evidence of macrovascular complications. Retinopathy, neuropathy, and nephropathy were found in 42.5%, 32.5%, and 12%, respectively. Longer diabetes duration was significantly associated with poor glycemic control (OR = 1.006, P < .005). The age of the patients was independently associated with macrovascular complications (OR = 1.050, P = .029). Hyperlipidemia was significantly associated with neuropathy (OR = 0.229, P = .043) and retinopathy (OR = 12.887, P = .003). Although physical activity was lower in patients with suboptimal glycemic levels (P = .024), cardiovascular disease (P = .030), neuropathy (P < .001), retinopathy (P < .001), and nephropathy (P = .019), multivariate analysis showed that it was only independently associated with neuropathy (OR = 0.614, P = .001). The prevalence of suboptimal glycemic control is high in the studied population. Effective health measures are urgently needed to stop diabetes complications, especially retinopathy and neuropathy. Elderly people with long durations of diabetes, and lower physical activity should be the focus of the interventions. Tailored exercise programs are particularly needed for better diabetes control and for the prevention of complications in patients with T2DM.

Glycated haemoglobin trajectories and one-year risk of potentially avoidable hospitalisations among adult type 2 diabetes patients seeking care at specialist outpatient clinics of a tertiary hospital: a cohort study

AIM

To evaluate the association between trajectories of glycated haemoglobin (HbA1c) and potentially avoidable hospitalisations (PAH).

METHODS

We performed a cohort study in a tertiary hospital in Singapore among adult type 2 diabetes patients with ≥3HbA1c tests over two years. Then, we followed up for one year after the last HbA1c reading. Glycaemic control was analysed by (1)HbA1c trajectories through group-based trajectory modelling, and (2)mean HbA1c. PAH was defined using the Agency of Healthcare Research and Quality criteria, categorising as overall, acute, chronic, diabetes-composites.

RESULTS

A total of 14923 patients (mean age:62.9±12.8 years;55.2% men)were included. Four HbA1c trajectories were observed; low-stable(n=9854,66.0%), moderate-stable(n=3125,20.9%), high-decrease(n=1017,6.8%) and high-persistent(n=927,6.2%). Compared to the low-stable trajectory, one-year risk ratio(RR) and 95%CI, respectively for moderate-stable, high-decrease and high-persistent trajectories were as follows:(1)overall PAH:1.15(1.00-1.31),1.53(1.31-1.80),1.96(1.58-2.43);(2)diabetes PAH:1.30(1.04-1.64),1.98(1.55-2.53),2.24(1.59-3.15);(3)acute PAH:1.14(0.90-1.44),1.29(0.95-1.77),1.75(1.17-2.62); and (4)chronic PAH:1.21(1.02-1.43),1.62(1.34-1.97),2.14(1.67-2.75). Mean HbA1c was significantly associated with overall and chronic-composites of PAH whilst evidence of a non-linear relationship with diabetes-composite of PAH was noted.

CONCLUSION

Patients with high-decrease trajectory had a risk lower than those with persistently-high HbA1c, highlighting that a greater risk of hospitalisation conferred by poor glycaemic control is potentially reversible. Determining HbA1c trajectories could help to identify the high-risk individuals for targeted and intensive management to improve care and reduce hospitalisations.

Application of Artificial Intelligence in Assessing the Self-Management Practices of Patients with Type 2 Diabetes

The use of Artificial intelligence in healthcare has evolved substantially in recent years. In medical diagnosis, Artificial intelligence algorithms are used to forecast or diagnose a variety of life-threatening illnesses, including breast cancer, diabetes, heart disease, etc. The main objective of this study is to assess self-management practices among patients with type 2 diabetes in rural areas of Pakistan using Artificial intelligence and machine learning algorithms. Of particular note is the assessment of the factors associated with poor self-management activities, such as non-adhering to medications, poor eating habits, lack of physical activities, and poor glycemic control (HbA1c %). The sample of 200 participants was purposefully recruited from the medical clinics in rural areas of Pakistan. The artificial neural network algorithm and logistic regression classification algorithms were used to assess diabetes self-management activities. The diabetes dataset was split 80:20 between training and testing; 80% (160) instances were used for training purposes and 20% (40) instances were used for testing purposes, while the algorithms' overall performance was measured using a confusion matrix. The current study found that self-management efforts and glycemic control were poor among diabetes patients in rural areas of Pakistan. The logistic regression model performance was evaluated based on the confusion matrix. The accuracy of the training set was 98%, while the test set's accuracy was 97.5%; each set had a recall rate of 79% and 75%, respectively. The output of the confusion matrix showed that only 11 out of 200 patients were correctly assessed/classified as meeting diabetes self-management targets based on the values of HbA1c < 7%. We added a wide range of neurons (32 to 128) in the hidden layers to train the artificial neural network models. The results showed that the model with three hidden layers and Adam's optimisation function achieved 98% accuracy on the validation set. This study has assessed the factors associated with poor self-management activities among patients with type 2 diabetes in rural areas of Pakistan. The use of a wide range of neurons in the hidden layers to train the artificial neural network models improved outcomes, confirming the model's effectiveness and efficiency in assessing diabetes self-management activities from the required data attributes.

Impact of telemedicine on glycemic control in type 2 diabetes mellitus during the COVID-19 lockdown period

BACKGROUND

The lockdown at the start of coronavirus disease 2019 (COVID-19) pandemic in Saudi Arabia (March 2020 to June 2020) shifted routine in-person care for patients with type 2 diabetes mellitus (T2DM) to telemedicine. The aim of this study was to investigate the impact telemedicine had during this period on glycemic control (HbA1c) in patients with T2DM.

METHODS

4,266 patients with T2DM were screened from five Ministry of National Guard Health Affairs hospitals in the Kingdom of Saudi Arabia. Age, gender, body mass index (BMI), HbA1c (before and after the COVID-19 lockdown), duration of T2DM, comorbidities and antidiabetic medications data were obtained. Mean and standard deviation of differences in HbA1c were calculated to assess the impact of telemedicine intervention. Correlations between clinically significant variances (when change in the level is ≥0.5%) in HbA1c with demographics and clinical characteristic data were determined using chi square test.

RESULTS

Most of the participants were Saudis (97.7%) with 59.7% female and 56.4% ≥60 years of age. Obesity was 63.8%, dyslipidemia 91%, and hypertension 70%. Mean HbA1c of all patients slightly rose from 8.52% ± 1.5% before lockdown to 8.68% ± 1.6% after lockdown. There were n=1,064 patients (24.9%) whose HbA1c decreased by ≥0.5%, n =1,574 patients whose HbA1c increased by ≥0.5% (36.9%), and n =1,628 patients whose HbA1c changed by <0.5% in either direction (38.2%). More males had significant improvements in glycemia compared to females (28.1% vs 22.8%, p<0.0001), as were individuals below the age of 60 years (28.1% vs 22.5%, p<0.0001). Hypertensive individuals were less likely than non-hypertensive to have glycemic improvement (23.7% vs 27.9%, p=0.015). More patients on sulfonylureas had improvements in HbA1c (42.3% vs 37.9%, p=0.032), whereas patients on insulin had higher HbA1c (62.7% vs 56.2%, p=0.001). HbA1c changes were independent of BMI, duration of disease, hyperlipidemia, heart and kidney diseases.

CONCLUSION

Telemedicine was helpful in delivering care to T2DM patients during COVID-19 lockdown, with 63.1% of patients maintaining HbA1c and improving glycemia. More males than females showed improvements. However, the HbA1c levels in this cohort of patients pre- and post-lockdown were unsatisfactorily high, and may be due to in part lifestyle, age, education, and hypertension.

Is Chinese Spring Festival a key point for glycemic control of patients with type 2 diabetes mellitus in China?

Objectives

This study aims to explore the long-term trend of fasting blood glucose (FBG) among urban patients with type 2 diabetes mellitus (T2DM) and the impacts of the Chinese Spring Festival on their glycemic control in urban China.

Methods

The general information and longitudinal monitoring data of patients with T2DM in Minhang District, Shanghai China from 15 December 2006 to 31 December 2015 were collected. The FBG records were grouped into three periods, namely, the preholiday period (2 months right before the Chinese Spring Festival), the holiday period (from 28 December to 7 January of the lunar calendar year), and the postholiday period (2 months after the Chinese Spring Festival). The Mann-Kendall trend test and Cochran-Armitage trend test were occupied to explore the long-term trend, and paired t-test and chi-square (χ²) test were used to determine the differences in glycemic level and control rate between the preholiday and postholiday periods, respectively.

Results

From 2007 to 2015, the glycemic control rate in patients with T2DM showed an upward trend (P < 0.001), and the FBG level showed a decreasing trend (P = 0.048). After the Chinese Spring Festival, the glycemic control rate decreased significantly (P < 0.001), and the FBG level increased significantly (P < 0.001) compared to those during the preholiday period. The incidence of hypoglycemia increased during holidays. Patients who were aged 60-69 years, overweight or obese, with hypertension, with a disease duration of <3 years, or with poor glycemic control in one previous year were more likely to be affected by the holiday.

Conclusion

Chinese Spring Festival is a key point for glycemic control of patients with T2DM in China. Intensive holiday-specific diabetic healthcare needs to be further improved, and community-based interventions should be developed and implemented to control the possible holiday effects.

Mode of treatments and achievement of treatment targets among type 2 diabetes patients with different comorbidities - a register-based retrospective cohort study in Finland

AIMS

Type 2 diabetes (T2D) is a progressive disease often associated with comorbidities that complicate the management of T2D and affect the achievement of treatment targets. However, adherence to guidelines and individualized treatments can potentially improve treatment outcomes. This study assessed the association between different glucose lowering and lipid lowering medication lines and the achievement of treatment targets with different comorbidities among a T2D cohort in North Karelia, Finland (2011-12 to 2015-16).

METHODS

The data on all diagnosed T2D patients (n = 10,190) in North Karelia were collated retrospectively from regional electronic health records (EHRs). Analyses were performed considering the age, sex, and comorbidities such as cardiovascular diseases (CVD) and any mental disorders (AMD). We analyzed the trends in using glucose lowering and lipid lowering medications and the effect of changes in medication on the achievement of treatment targets among different patient groups.

RESULTS

Metformin was the most common treatment in all patient groups. The use of only metformin declined and the use of metformin and/or other non-insulin medications increased during the follow-up. A Combination of insulin and non-insulin medication was mostly used by T2D patients with both cardiovascular diseases and mental disorders (T2D + CVD + AMD), and the use of insulin increased among this group in follow-up. Achievement of the glucose treatment target deteriorated even after the intensification of medication among all patient groups during the follow-up. A considerably higher number of patients with T2D + AMD and T2D + CVD + AMD did not use lipid lowering medication when compared to the T2D + CVD patients both at baseline and follow-up. However, the achievement of the LDL treatment target improved during the follow-up.

CONCLUSION

Achievement of the glucose target deteriorated even after the intensification of treatment, and especially among patients with multiple diseases. Many T2D patients with AMD and CVD remained without lipid lowering medication, which needs further attention.

Efficacy and safety outcomes of dulaglutide by baseline HbA1c: A post hoc analysis of the REWIND trial

AIM

To assess cardiovascular, glycaemic, weight and safety outcomes of long-term treatment with dulaglutide 1.5 mg compared with placebo in patients with a baseline HbA1c of less than 7% versus 7% or higher.

MATERIALS AND METHODS

Intention-to-treat analyses were performed on REWIND participants with a baseline HbA1c measurement, using Cox proportional hazards regression and mixed model for repeated measures. Subgroup analyses with factors for baseline HbA1c categories and their interaction with treatment group, as well as analyses within the HbA1c subgroups, were conducted. Additionally, sensitivity analyses were performed for baseline HbA1c subgroups of 6.5% or less and more than 6.5%.

RESULTS

Of the 9876 eligible participants, 3921 and 5955 had a baseline HbA1c of less than 7% and 7% or higher, respectively. Mean baseline HbA1c was 6.3% and 8.0% and the mean duration of diabetes was 9.0 and 11.6 years in the respective subgroups. The less than 7% subgroup was slightly older and less frequently insulin-treated. There was no evidence of a differential dulaglutide treatment effect on body mass index (BMI) reduction, cardiovascular or safety outcomes of interest between the baseline HbA1c subgroups. Treatment-by-baseline HbA1c group interaction was significant for HbA1c change from baseline (P < .001), with a greater reduction in the subgroup with higher baseline HbA1c values. Sensitivity analyses by baseline HbA1c subgroups of 6.5% or less and more than 6.5% showed similar results.

CONCLUSIONS

The reduced incidence of cardiovascular events, and the reduction in BMI in participants treated with once-weekly dulaglutide, were independent of the baseline HbA1c level. Conversely, participants with a higher baseline HbA1c level had greater reductions in HbA1c. Dulaglutide has a positive benefit-risk profile and can be considered in patients with comparatively well-controlled HbA1c levels seeking optimal metabolic control and cardiovascular benefits.

Effectiveness of physical activity counselling provided for people with type 2 diabetes mellitus in primary healthcare in North Karelia, Finland: a register-based evaluation study

OBJECTIVES

Physical activity (PA) plays a significant role in the treatment of type two diabetes (T2D). This study evaluated the effectiveness of PA counselling in primary healthcare (PHC) on clinical outcome measures in patients with T2D, comparing them with a registry-based controls.

SETTING

The study was carried out in North Karelia, Finland, among PHC clients who have been diagnosed with T2D in 2016-2018.

PARTICIPANTS

The study population consisted of patients aged 19-87 years diagnosed with T2D (n=1803). Altogether 546 patients were referred to the PA educator of whom 521 participated the counselling. In totally 1382 sex, age, time of diagnosis and intervention time-matched controls were used to see the effect of intervention.

INTERVENTIONS

Patients with T2D followed up in PHC were offered to participate in PA counselling provided by trained PA educators. The number of counselling sessions and their content were tailored according to patients needs and willingness to participate. To assess the effects of PA to management of T2D clinical outcome measures such as weight and Haemoglobin A1c (HbA1c) and lipid levels were assessed using data from electronic patient records. Each patient was followed up from records at least for a year.

RESULTS

Weight and body mass index (BMI) decreased in both groups and mean yearly changes did not differ between the groups. HbA1c levels declined in the intervention and increased in the control group with statistically significant difference in the mean yearly change between the groups (p=0.001). The low-density lipoprotein declined in both groups. The decline was bigger in the intervention group, but the difference did not quite reach the statistical significance (p=0.096).

CONCLUSIONS

This study shows that PA counselling in PHC offers significant benefits in the treatment outcomes of T2D although no significant declines were not observed in the weight or BMI.

Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review

Diabetes mellitus is a chronic metabolic disorder resulting in hyperglycemia and microvascular and macrovascular complications in individuals globally. Type 2 diabetes mellitus (T2DM) is highly prevalent and accounts for 90% of patients. Maintaining blood glucose concentration is essential to avoid severe complications.

Glycemic control is the optimal serum glucose concentration in diabetic patients. It is necessary to identify factors affecting the glycemic control of patients to prevent control and complications. We conducted this systematic review to assess the factors affecting glycemic control among type 2 diabetes mellitus patients.

Published literature between the years 2020 to 2022 was retrieved from PubMed, Science Direct, and Google Scholar using different combinations of keywords: T2DM, Glycemic control, Poor, Good, Adequate, Inadequate, Factors, Association, and Determinants. All original articles written in the English language with full-text available and the value of glycemic control defined were included. A total of 1866 studies were retrieved. After the title, abstract, screening, and full-text screening, 12 studies were eligible.

The prevalence of poor glycemic control was high, and it ranged between 45.2% and 93% among the studies. The factors associated with glycemic control were stratified into four categories: personal or body-related, clinical, medication-related, and behavioral factors. There was a high prevalence of poor glycemic control in all included studies. The glycemic control was associated with various factors; some were related to the patient or medical conditions while others were related to the behavior of the patients or the medication administrated.

High atherogenic risk concomitant with elevated HbA1c among persons with type 2 diabetes mellitus in North Ethiopia

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a chronic disease associated with worse clinical presentation. However, the current investigation practices in Ethiopia have limitations to demonstrate the scope of the clinical burden. Hence, this study was aimed at assessing the glycemic status and coronary heart disease (CHD) risk of persons with T2DM using HbA1c and atherogenic index of plasma (AIP).

METHOD

This institution-based cross-sectional study was conducted among 421 adults with T2DM from September to November 2019. Demographic, socioeconomic, and lifestyle data were collected through a face-to-face interview. Clinical information was retrieved from medical records whereas anthropometric and biochemical measurements were performed using the WHO protocols. Glycemic status was determined using HbA1c and CHD risk assessed using an atherogenic index of plasma (AIP). Gaussian variables were expressed using mean and standard deviation (SD), Log-normal variables using geometric mean and 95% CI and non- Gaussian variables using median and interquartile ranges. Categorical variables were summarized using absolute frequencies and percentages. Multivariable logistic regression was used to identify factors associated with glycemic control with a statistical significance set at 5%.

RESULT

A total of 195 male and 226 female subjects were involved in this study. The results demonstrated that 77% (324) had HbA1c value ≥7% and 87.2% (367) had high atherogenic risk for CHD. Besides, 57% and 67.9% of persons with T2DM had metabolic syndrome according to International Diabetes Federation (IDF) and the National Cholesterol Education Program-Adult treatment panel III (NCEP-ATP III) criteria, respectively. About 36.8% had one or more comorbidities. Having healthy eating behavior [AOR 1.95; CI 1.11-3.43] and taking metformin [AOR 4.88; CI 1.91-12.44] were associated with better glycemic outcomes.

CONCLUSION

High AIP level concomitant with poor glycemic control indicates increased risk for coronary heart disease among persons with T2DM in Northern Ethiopia.

Medication Adherence of Persons with Type 2 Diabetes in Malaysia: A Scoping Review and Meta-Analysis

Objective

This is a scoping review of Malaysian scientific studies on medication adherence among persons with type 2 diabetes mellitus (T2DM).

Methodology

We conducted a bibliographic search of PubMed, Scopus and Google Scholar using the following keywords: "medication adherence," "drug compliance," "DMTAC" and "Malaysia." The search covered all publications up to 31 December 2021. Eligible articles were original studies conducted in Malaysia that measured or quantified medication adherence among persons with T2DM.

Results

We identified 64 eligible studies published between 2008 to 2021. Most studies included patients with T2DM in ambulatory facilities. Five studies were qualitative research. The quantitative research publications included clinical trials, and cross-sectional, validation, retrospective and prospective cohort studies. Thirty-eight studies used medication adherence scales. The Morisky Medication Adherence Scale (MMAS-8, used in 20 studies) and Malaysian Medication Adherence Scale (MALMAS, used in 6 studies) were the most commonly used tools. There were 6 validation studies with 4 medication adherence scales. A meta-analysis of 10 studies using MMAS-8 or MALMAS revealed that the pooled prevalence of low medication adherence is 34.2% (95% CI: 27.4 to 41.2, random effects model). Eighteen publications evaluated various aspects of the Diabetes Medication Therapy Adherence Clinics (DMTAC).

Conclusion

This scoping review documented extensive research on medication adherence among persons with diabetes in Malaysia. The quantitative meta-analysis showed a pooled low medication adherence rate.

Factors affecting glycemic control among Egyptian people with diabetes attending primary health care facilities in Mansoura District

Background

Diabetes is a rapidly growing health problem worldwide. In 2019, the International Diabetes Federation (IDF) estimates that Egypt is the 9th country worldwide with about 8,850,400 cases and a prevalence of 15.2% in adults. By 2045, Egypt is expected to be the 7th country worldwide. Several factors affecting glycemic control are related to patients, physicians, and the infrastructure of primary health care facilities (PHCFs). The effect of health care infrastructure and resources is not well studied. This cross-sectional study aims to explore factors affecting glycemic control among subjects with diabetes visiting PHCFs in the Mansoura District. A questionnaire was done to assess these factors among subjects with diabetes, primary care physicians (PCPs), and PHCFs infrastructure and resources. Three hundred and two subjects with diabetes attending PHCFs in the Mansoura District underwent a detailed clinical history. Also, HbA1c was obtained.

Results

Factors in patients that affect diabetic control include patient’s education and occupation and their smoking status. Practicing physical exercise is important for diabetes control. Physicians can affect diabetes control by their rural residence, older age, participation in diabetes training, early graduation year, longer durations since started dealing with subjects with diabetes, and following guidelines. Resources of infrastructure have a role in diabetes control. Metformin and investigation availability has a positive association with diabetes control.

Conclusion

Patients, physicians, and resources of infrastructure have a role in diabetes control.

Association of glycemic control and anthropometric measurement among type 2 diabetes mellitus: a cross-sectional study

Introduction

Maintaining good glycemic control is the main therapeutic target for diabetes mellitus (DM) patients. Nevertheless, due to complex factors, the majority of patients worldwide persist poorly controlled. Hence the study was conducted to determine the association of anthropometric measurement and other factors with glycemic control among type 2 DM patients.

Methods

An institutional-based cross-sectional study was conducted among 366 type 2 DM patients from October-1 to November 30/2019. Data were collected by a pre-tested structured questionnaire and data abstraction format. The collected data were edited in Epi-data-4.4.1.0 and exported to SPSS-25 for analysis. The degree of association was assessed using logistic regression analysis and expressed in terms of p value and odds ratio with a 95%CI. p value < 0.05 was considered statistically significant.

Results

Of the total 366 participants, (66.1%) had poor glycemic control. Increased waist circumference (AOR 2.37, 95% CI 1.28-4.40 for overweight and AOR 3.31, 95% CI 1.28-8.58 for obesity), long duration of DM (AOR 2.12, 95% CI 1.14-3.95 for 5-10 years and AOR 5.67, 95% CI 1.76-11.30 for > 10 years), occupation (AOR 3.74, 95% CI 1.94-7.23 for government employee and AOR 4.90, 95% CI 2.19-10.94 for private employee), and family history of DM (AOR 1.93, 95% CI 1.08-3.43), were significantly associated with poor glycemic control.

Conclusion

Nearly two-thirds of study participants had poor glycemic control. Increased waist circumference, long duration of DM, occupational status, and family history of DM were independently associated with poor glycemic control. Therefore, type 2 DM patients with these identified factors should be strictly monitored to maintain good glycemic control.

Factors related to the uncontrolled fasting blood sugar among type 2 diabetic patients attending primary health care center, Abha city, Saudi Arabia

OBJECTIVE

To identify risk factors related to uncontrolled fasting blood sugar among type 2 diabetic patients.

METHODOLOGY

A systematic random sampling technique was followed to include 450 diabetic patients attending Al-Qabil Primary Health Care Center in Abha City, Saudi Arabia. Collected data comprised sociodemographic characteristics (age, gender, height, weight, education, employment, body mass index, and smoking), while disease-related characteristics included duration of diabetes, fasting blood sugar control, hypertension, and regularity of follow up visits.

RESULTS

Fasting blood sugar was uncontrolled among 76.9% of selected patients with type 2 diabetes mellitus. Overweight and obesity were present among 81.6%. Significant risk factors for uncontrolled blood sugar included older age, male gender (P = .037), illiteracy (P = .020), being employed (P = .003), longer duration of disease (P = .023), hypertension (P = .010), and smoking (P = .001).

CONCLUSIONS

Prevalence of uncontrolled fasting blood sugar is high among patients with type 2 diabetes mellitus. Risk factors associated with uncontrolled fasting blood sugar include older age, male gender, illiteracy, being employed, longer duration of disease, hypertension, smoking, and obesity. Therefore, for better control of blood sugar among diabetics, it is recommended to control the blood pressure and body weight of diabetics and avoid smoking.

Oral insulin delivery: utopia, currently possible or a near reality?

Diabetes is still one of the main diseases worldwide due to its high incidence, prevalence and, unfortunately, very high mortality. Type 1 diabetes (and in some other types) is generally controlled by exogenous insulin. Several attempts of oral insulin administration to humans have been done so far. Some of them achieved interesting results, but it seems to exist a barrier to transpose these studies into clinical trials. A broad perspective about the oral insulin and approaches will be addressed. Representative (not all) examples of innovation are herein described, and they should represent a step forward to achieve the main goal: to orally deliver insulin and improve the life quality of millions of patients.

Impact of the FreeStyle Libre flash glucose monitoring system on diabetes- self-management practices and glycemic control among patients with type 2 diabetes in Saudi Arabia: A prospective study

BACKGROUND AND AIMS

To examine the efficacy of FreeStyle Libre Flash Glucose Monitoring System (FGMS) on Diabetes Self-Management Practices (DSMP) and glycemic control among patients with type 2 diabetes (T2D).

METHODS

This prospective study was conducted among 105 patients with T2D (aged 30-70 years), who self-tested their glucose levels by conventional finger-prick method using blood glucose meters (BGM). At baseline visit, FGMS sensors were fixed by a diabetes educator to all patients. At the baseline and at 12 weeks of the study, an interviewer collected the responses of Diabetes Self-Management (DSM) from all the study population using a questionnaire.

RESULTS

At 12 weeks, significant improvements in the DSM subscales were observed, which includes glucose management (P = 0.042), dietary control (P = 0.048), physical activity (P = 0.043), health care use (P = 0.001) and self-care (P = 0.001), compared to the values at baseline. At baseline, when the HbA1c level was 8.2%, at 12 weeks, it dropped to 7.9%. Also, at baseline, when the hypoglycemia frequency was 3.1, it declined to 1.2 episodes/month at 12 weeks. While comparing the blood glucose monitoring through BGM at the baseline (1.92/day), a higher degree of frequency of blood glucose monitoring was evident at 12 weeks (6.84/day), after the patients employed the FreeStyle Libre.

CONCLUSION

After 12 weeks of using the FreeStyle Libre, the frequency of hypoglycemic episodes and the HbA1c levels were dropped, while the practice of DSM and frequency of blood glucose monitoring were improved.

Poor Glycemic Control and Its Contributing Factors Among Type 2 Diabetes Patients at Adama Hospital Medical College in East Ethiopia

BACKGROUND

Poor glycemic control is a major public health issue among patients with type 2 diabetes mellitus and a significant risk factor for the progression of diabetic complications. This study aimed to assess the magnitude and contributing factors of poor glycemic control among type 2 diabetes patients on follow-up at Adama Hospital Medical College (AHMC) in East Ethiopia.

METHODS

A cross-sectional study was conducted among 245 type 2 diabetes patients on follow-up at AHMC from March 1 to 30, 2020. All type 2 diabetes patients on follow-up at AHMC and fulfilling the inclusion criteria were included in the study. The data were collected through face-to-face interviews using structured questionnaires and reviewing the patient chart. The data were entered and analyzed using SPSS version 21. The level of significance was declared at a p-value of <0.05.

RESULTS

Of the 245 type 2 diabetes patients included in the study, 157 (64.1%) had poor glycemic control. The factors associated with poor glycemic control were being male (AOR = 2.28, 95% CI [1.24-4.21]), not attending formal education (AOR = 3.12, 95% CI [1.53-6.35]), monthly income of <136 USD (AOR = 2.14, 95% CI [1.17-3.91]), overweight (AOR = 2.60, 95% CI [1.32-5.10]) and obesity (AOR = 3.44, 95% CI [1.44-8.21]), and chewing khat (AOR = 2.77, 95% CI [1.04-7.33]).

CONCLUSION

The proportion of poor glycemic control among type 2 diabetes patients at AHMC was remarkably high. Therefore, more effort should be taken to strengthening and disseminating health education programs for diabetes patients at each follow-up visit on the importance of achieving optimal body weight, avoiding khat chewing, and maintaining regular physical exercise to prevent and mitigate the complications resulting from poor glycemic control.

Barriers to Diabetes Self-Management in a Subset of New Zealand Adults with Type 2 Diabetes and Poor Glycaemic Control

BACKGROUND

Despite the fact that there is an increasingly effective armoury of medications to treat diabetes, many people continue to have substantially elevated blood glucose levels. The purpose of this study was to explore what the barriers to diabetes management are in a cohort of people with diabetes and poor glycaemic control.

METHODS

Qualitative semistructured interviews were carried out with 10 people with diabetes who had known diabetes and a recent HbA1c of >11.3% (100 mmol/mol) to explore their experiences of barriers to diabetes self-management and glycaemic control.

RESULTS

Barriers to diabetes management were based around two key themes: biopsychosocial factors and knowledge about diabetes. Specifically, financial concerns, social stigma, medication side effects, and cognitive impairment due to hyperglycaemia were commonly reported as barriers to medication use. Other barriers included a lack of knowledge about their own condition, poor relationships with healthcare professionals, and a lack of relevant resources to support diet and weight loss.

CONCLUSION

People with diabetes with poor glycaemic control experience many of the same barriers as those reported elsewhere, but also experience issues specifically related to their severe hyperglycaemia. Management of diabetes could be improved via the increased use of patient education and availability of locally relevant resources.

Glycemic control among ambulatory type 2 diabetes patients with hypertension Co-morbidity in a developing country: A cross sectional study

BACKGROUND

Achieving target blood glucose in type 2 diabetes patients with hypertension remains a challenge despite the availability of different classes of drugs to treat these conditions.

OBJECTIVE

to assess the level of glycemic control and identify associated factors among ambulatory type 2 diabetes patients with hypertension co-morbidity.

METHODS

We conducted a hospital based cross-sectional study from April 4 to May 11, 2016 among ambulatory type 2 diabetes patients with hypertension comorbidity at Jimma University Medical Center. We collected data on patient demographics, diabetes complications, and treatments using pretested questionnaire and data extraction format from a total of 300 eligible patients. We included consecutive patients that visited the hospital during the study period. We performed statistical analysis using SPSS version 21. Logistic regression analyses were done to identify the factors associated with poor glycemic control. P-value <0.05 was considered statistically significant.

RESULTS

The majority of patients (60%) had poor glycemic control. The mean (SD) fasting blood glucose level over three consecutive months was 152.5 (65.7) mg/dl. Factors associated with poor glycemic control were age 41-60 years (AOR = 3.05, 95%CI: 1.20-7.77), age older than 60 years (AOR = 2.62, 95%CI: 1.01-6.80), presence of drug related problems (AOR = 2.29, 95%CI: 1.20-4.39), and low adherence to medications (AOR = 4.26, 95%CI: 1.70-10.65).

CONCLUSION

The prevalence of poor glycemic control among ambulatory type 2 diabetes patients with hypertension comorbidity was high.

Diabetic Complications and Factors Affecting Glycemic Control Among Patients With Type II Diabetes Mellitus Attending the Chronic Illness Clinics at Tabuk, Saudi Arabia

Background Diabetes mellitus (DM) is one of the most common diseases worldwide and affects many patients all over the globe. Diabetic complications vary between microvascular and macrovascular, affecting a wide range of organs and systems in the body. Understanding, determining, and in return, preventing such factors is essential to alleviate the quality of life of diabetic patients. Therefore, we aim to determine the poor glycemic control and the factors associated with it in our diabetes population. Methods This is a retrospective study where data was reviewed for all patients with Type II DM (T2DM) who attended the chronic illness clinic at King Khaled Hospital in Tabuk. We included patients aged ≥ 18 years, of Saudi nationality, and residents of the Tabuk region. Any patient not satisfying all the inclusion criteria was excluded from the current study. Diagnosis with diabetes was made according to the American Diabetes Association guidelines, 2020. Patients' demographic data, medical history, and social and lifestyle history were extracted from records. In addition, age, body mass index (BMI), drugs (insulin vs. oral hypoglycemic agents), duration of the disease, lipid profile, and other comorbidities were also extracted from the files. A p-value of <0.05 was selected as the statistically significant level in all tests. Results A total of 697 patients were included in the current study, with a mean age of 58.2±11.6 years. The mean glycosylated hemoglobin (HbA1c) of the study participants was 8.4±1.7%, and their fasting blood sugar (FBS) level was 9.9±3.9 mmol/l. With HbA1c cut-off at 7%, the overall prevalence of poor glycemic control was 81.5% (565/693). A higher prevalence of poor glycemic control was reported among study participants with higher DM duration (p=0.002). Diabetes complications were found in 208 (29.8%) of the study participants, where microvascular complications were present in 140 patients, and microvascular ones were found in 102. In the logistic regression model, older patients were less prone to poor glycemic control (OR=0.98; 95% CI=0.96-0.99; p=0.010). In addition, longer disease duration was a predictive factor of poor glycemic control (OR=1.05; 95% CI=1.02-1.08; p=0.003). Furthermore, the usage of combined insulin and tablet treatments were associated with a higher risk of poor glycemic control when compared to insulin only treatments (OR=4.65; 95% CI=1.55-13.94; p=0.006). Conclusion The results of this study indicate a high prevalence rate of poor glycemic control among Saudi patients, which is higher than previous reports have shown. More interest should be given to awareness programs with regard to promoting self-control protocols for the disease.

Association of Health Literacy and Nutritional Status Assessment with Glycemic Control in Adults with Type 2 Diabetes Mellitus

While the role of medical and nutrition factors on glycemic control among adults with type 2 diabetes mellitus (T2DM) has been well-established, the association between health literacy (H.L.) and glycemic control is inconsistent. This study aims to determine the association of H.L. and nutritional status assessments with glycemic control in adults with type 2 diabetes mellitus. A total of 280 T2DM respondents (mean (SD) age = 49.7 (10.3) years, Glycated hemoglobin (HbA1c) = 9.9 (2.6) %, and Body Mass Index = 32.7 (15.1) kg/m2) were included in this study. A short-form Test of Functional Health Literacy in Adults (S-TOFHLA) assessed the H.L. levels. Nutritional status assessments included client history, glycemic control, anthropometric, and biochemical data. The mean (S.D.) H.L. score was 45.7 (24.6), with 56% of the respondents had inadequate H.L. Inadequate H.L. was more common among those females; housewives, low education, received oral antidiabetic therapy, and shorter diabetes duration. Respondents with inadequate H.L. were significantly older and had higher HbA1c than those with marginal and adequate H.L. Meanwhile, respondents with inadequate and marginal H.L. levels had significantly higher total cholesterol, LDL-cholesterol, and systolic blood pressure than the respondents with adequate H.L. Low H.L. scores, self-employment status, received dual antidiabetic therapy (insulin with oral agents), received insulin alone, and had higher fasting blood glucose explained about 21% of the total variation in HbA1c (adjusted R2 = 0.21; p < 0.001). Respondents with inadequate H.L. had poor glycemic control. The H.L. scores, together with nutritional status assessments, were the factors that predicted poor glycemic control among adults with T2DM.

Glycemic control and associated factors among Iranian population with type 2 diabetes mellitus: a cross-sectional study

Purpose

Detection and modification of various factors such as life style, smoking and so on can significantly improve the glycemic control status. This study aimed to investigate glycemic control status and its relevant factors among patients with Type 2 DM.

Methods

In this cross-sectional study, the glycemic control status of patients with type 2 DM was investigated. In addition, relevant risk factors including demographic, clinical characteristics, self-care management behavior, medication adherence and laboratory data and their relationship with glycemic control status were assessed. Glycemic control status was defined as very good (HbA1c < 7%), good (HbA1c = 7-7.9%), poor (HbA1c = 8-9.9%) or extremely bad (HbA1c ≥ 10%).

Results

The present study included 562 patients (64.4% female). Most of the patients (37%) had poor glycemic control status. Microvascular complications especially diabetic neuropathy were the most common complications in our study. Glycemic control had significant relationship with level of education (p < .01) and occupation (p = .04). Among laboratory parameters, fasting plasma glucose (FPG) and total cholesterol levels were significantly lower in patients with desirable glycemic control (p < .05). The linear regression test showed that HbA1c had significant relationship with FPG (p < .01) and increasing one standard deviation in FPG can increase the level of HbA1c 0.014.

Conclusion

Glycemic control status in our study was very low and FPG was the strongest predictor of glycemic control status. Some other factors were also associated such as education level, occupation, type of treatment, diastolic blood pressure, the lipid profile and aspartate transaminase.

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

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.

Determinants of glycemic control: Phase 2 analysis from nationwide diabetes report of National Program for Prevention and Control of Diabetes (NPPCD-2018)

BACKGROUND

Diabetes is one of the leading causes of morbidity and mortality worldwide, especially among middle and low income nations. Many diabetic complications and comorbidities are attributable to poor glycemic control. The aim of this study was to update and extend the national diabetes reports on the status of comorbidities, diabetes care and complications in Iran. Moreover, we investigated the risk factors of poor glycemic control in the Iranian population.

METHODS

National database of 99,651 patients with diabetes who attended university-affiliated clinics between April 1, 2017 and February 30, 2018 was used to carry out a cross-sectional study. Stepwise backward selection logistic regression model was used to examine the associated factors of glycemic control.

RESULTS

In this study 73.0% and 56.5% of the enrolled population with diabetes, had hypertension and hyperlipidemia, respectively. The prevalence of patients who received education for nutrition therapy or diabetes self-management was 16.3% and 23.3% respectively. Poor glycemic control was associated with male gender (OR=1.06, p=0.001), obesity (OR=1.03, p=0.05), duration of diabetes (OR=1.018, p<0.001), smoking (OR=1.08, p=0.041), hypertension (OR=1.53, p<0.001), hyperlipidemia (OR=1.15, p<0.001), insulin therapy (OR=1.26, p<0.001) and combination of insulin and oral anti-diabetic agents compared to oral anti-diabetic agents alone (OR=2.36, p<0.001).

CONCLUSION

We demonstrated that the prevalence of diabetes comorbidities is high in Iranian population and that a great proportion of Iranian patients with diabetes had not reached the goal of glycemic control. Our findings provide a starting point from which to investigate the obstacles that prevent patients with diabetes from reaching metabolic targets.

Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China

OBJECTIVE

There is a high prevalence of poor glycaemic control among patients with type 2 diabetes (T2DM) in China. This study aimed to explore both organisational and individual characteristics associated with glycaemic control among patients with T2DM.

DESIGN

Cross-sectional survey.

SETTING

Shandong Province, China.

PARTICIPANTS

The participants were 2166 patients with T2DM and 337 healthcare providers from 36 urban communities and 36 rural villages in Shandong Province.

PRIMARY AND SECONDARY OUTCOME MEASURES

Multistage stratified sampling procedures were used to measure demand-side individual demographic, clinical and self-management characteristics, and supply-side organisational characteristics, and the status of glycaemic control. Multilevel logistic regression analysis was performed to assess key determinants of glycaemic control.

RESULTS

Only 42.8% of the patients with T2DM achieved good glycaemic control. Age, income, hypertension and self-efficacy were significantly positive predictors of optimal glycaemic control, while duration of diabetes, antidiabetic drugs and monitoring of blood glucose were significantly negative predictors of that. Private VCs (OR=0.48, 95% CI 0.29 to 0.82, p<0.01) and lack of healthcare providers (OR=0.69, 95% CI 0.53 to 0.89, p<0.01; OR=0.71, 95% CI 0.52 to 0.98, p<0.05) were significantly negative predictors of optimal glycaemic control, while diabetes knowledge level of healthcare providers (OR=1.36, 95% CI 1.02 to 1.83, p<0.05; OR=1.45, 95% CI 1.00 to 2.10, p<0.05) and kinds of antidiabetic drugs (OR=1.37, 95% CI 0.97 to 1.93, p<0.1; OR=1.46, 95% CI 1.07 to 2.00, p<0.05) were significantly positive predictors of that.

CONCLUSIONS

Glycaemic control was suboptimal among patients with T2DM in China. The determinants of failing to achieve good glycaemic control included both organisational and individual characteristics. Potential interventions that target patients, providers and the healthcare organisations should be taken to improve the glycaemic control and health outcome among patients with T2DM.

Effects of FamilyDoctor Concept and Doctor-Patient Interaction Satisfaction on Glycaemic Control among Type 2 Diabetes Mellitus Patients in the Northeast Region of Peninsular Malaysia

The implementation of Family Doctor Concept (FDC) to restructure the primary healthcare systems in Malaysia were expected to enhance patient’s satisfaction on doctor-patient interaction and subsequently improved glycaemic control among Type 2 Diabetes Mellitus (T2DM) patients. Thus, this study aims to determine the difference in doctor-patient interaction satisfaction between T2DM patients attended FDC-implemented clinic vs non-FDC clinics, and to determine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. A cross-sectional study was conducted throughout 10 districts in Kelantan from February until May 2019 using interview-guided Skala Kepuasan Interaksi Perubatan-11 (SKIP-11) and proforma checklist. Data were analyzed using SPSS ver.24. Chi-square statistic used to determine the difference in doctor-patient interaction satisfaction between both clinics type. Multiple logistic regression used to examine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. Twenty primary health clinics involved, and 772 T2DM patients recruited. FDC clinics attendees has higher proportion of satisfaction (40.1%) compared to non-FDC attendees (33.7%) (p = 0.070). Multiple logistic regression confirmed the association of FDC-implemented health clinics (Adj. OR 1.63, p = 0.021), and doctor-patients interaction satisfaction (Adj. OR 1.77, p = 0.005) towards glycaemic control. Hence, strengthening of FDC in primary healthcare and improve the doctor-patient interaction satisfaction were essential to escalate good glycaemic control.

Study protocol for the road to hierarchical diabetes management at primary care (ROADMAP) study in China: a cluster randomised controlled trial

INTRODUCTION

Diabetes management in primary care remains suboptimal in China, despite its inclusion in the essential public health service (EPHS). We aimed to evaluate the effectiveness of a mobile health (mHealth) based and three-tiered diabetes management system in diverse Chinese contexts.

METHODS AND ANALYSIS

This is a cluster randomised controlled trial, named road to hierarchical diabetes management at primary care (ROADMAP). 19 008 patients with type 2 diabetes (T2D) were recruited from primary care clinics in 864 communities across 144 counties/districts of 24 provinces. Eligible participants were adult patients diagnosed with T2D and registered for diabetes management in communities. Patients within the same communities (clusters) were randomly allocated into the intervention or control arm for 1 year in a 2:1 ratio. The control arm patients received usual care as EPHS packaged: at least four blood glucose (BG) and blood pressure (BP) tests, and lifestyle and medication instruction, yearly, from primary care providers. The intervention arm patients received at least two BG and one BP tests, monthly, and lifestyle and treatment instruction from a three-tiered contracted team. A mHealth platform, Graded ROADMAP, enabled test results uploading and sharing, and patient referral within the team. The intervention participants will be further divided into basic or intensive intervention group according to whether they were actively using the Your Doctor App. The primary outcome is the BG control rate with glycated haemoglobin (HbA1c)<7.0%. Secondary outcomes include control rates and changes of ABC (HbA1c, BP and low-density lipoprotein cholesterol) and fasting BG, hypoglycaemia episodes and health-related quality of life (EuroQol (EQ-5D)).

ETHICS AND DISSEMINATION

The trial has been approved by the Institutional Review Board at Shanghai Sixth People's Hospital. Findings on the intervention effectiveness will be disseminated through peer-reviewed journals, conference presentations and other relevant mechanisms.

TRIAL REGISTRATION NUMBER

ChiCTR-IOC-17011325.

Association of Potentially Modifiable Diabetes Care Factors With Glycemic Control in Patients With Insulin-Treated Type 2 Diabetes

IMPORTANCE

Numerous factors are associated with the ability of patients with type 2 diabetes to achieve optimal glycemic control. However, many of these factors are not modifiable by quality improvement interventions. In contrast, the structure of how diabetes care is delivered, such as whether patients visit an endocrinologist or how prescriptions are filled, is potentially modifiable, yet its associations with glycemic control have not been rigorously evaluated.

OBJECTIVE

To investigate the association of diabetes care delivery with glycemic control in patients with type 2 diabetes using insulin.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used baseline claims and laboratory insurer data within a large pragmatic trial to identify individuals with type 2 diabetes using insulin with data for at least 1 hemoglobin A1c (HbA1c) test result from before trial randomization (July 1, 2014, to October 5, 2016) and for key nonmodifiable patient factors as well as diabetes care delivery and behavioral factors measured before the HbA1c test. Analyses were conducted from February 4, 2017, to November 13, 2018.

MAIN OUTCOMES AND MEASURES

Multivariable modified Poisson regression was used to evaluate the independent associations of nonmodifiable patient factors and potentially modifiable diabetes care delivery and patient behavioral factors with achieving adequate diabetes control (ie, HbA1c level <8%). The extent of measured variation explained in glycemic control by these factors was also explored using pseudo R2 and C statistics.

RESULTS

Of 1423 patients included, 565 (39.7%) were women, and the mean (SD) age was 56.4 (9.0) years. In total, 690 (48.5%) had HbA1c levels less than 8%. Age (relative risk [RR] per 1-unit increase, 1.01; 95% CI, 1.00-1.02), persistent use of basal insulin (RR, 1.20; 95% CI, 1.00-1.43), more frequent filling of glucose self-testing supplies (RR, 1.01; 95% CI, 1.01-1.02), visiting an endocrinologist (RR, 1.41; 95% CI, 1.19-1.67), and receipt of insulin prescriptions by mail order (RR, 1.23; 95% CI, 1.03-1.48) were all independently associated with adequate control. Measured potentially modifiable diabetes care factors explained more variation in adequate glycemic control than measured nonmodifiable patient factors (C statistic, 0.661 vs 0.598; pseudo R2 = 0.11 vs 0.04).

CONCLUSIONS AND RELEVANCE

These findings suggest that for patients with type 2 diabetes using insulin, the way in which care is delivered may be more strongly associated with achieving adequate control of HbA1c levels than patient factors that cannot be altered are. Given the potential for intervention, these care delivery factors could be the focus of efforts to improve diabetes outcomes.

Evaluation of effectiveness of treatment paradigm for newly diagnosed type 2 diabetes patients in Chin: A nationwide prospective cohort study

AIMS/INTRODUCTION

Data of nationwide glycemic control and hypoglycemic treatment patterns in newly diagnosed type 2 diabetes patients in China are absent. The aim of this study was to assess the evolution of treatment patterns for newly diagnosed type 2 diabetes patients and the clinical outcomes during 12-month follow up.

MATERIALS AND METHODS

This is an observational prospective cohort study with 12 months of follow up. Patients with a diagnosis of type 2 diabetes for <6 months were enrolled. Glycated hemoglobin A1c (HbA1c) levels and hypoglycemic treatment patterns were collected at baseline and at every 3 months of follow up.

RESULTS

A total of 79 hospitals were recruited, consisting of 5,770 participants. The mean HbA1c was 8.4 ± 2.5% at baseline, and decreased to 6.7 ± 1.2% at 12 months with 68.5% of patients achieving HbA1c <7%. At baseline, 44.6% of the patients were without hypoglycemic medications, 37.7% had oral hypoglycemic agents and 17.7% received insulin treatment. Determinants of change in HbA1c were treatment patterns, comorbidities, baseline characteristics such as obesity and smoking, regions, and tiers of hospitals. Associated factors with treatment alterations were time of follow up, treatment patterns, patient-reported reasons such as the economic factors and poor efficacy.

CONCLUSIONS

In newly diagnosed type 2 diabetes patients, compared with patients without medications, patients with one oral hypoglycemic agent had higher possibilities of reaching glycemic control, whereas patients using insulin had lower possibilities of reaching the target. Factors associated with change in HbA1c and treatment alterations were also revealed.

Adherence of Type 2 Diabetic Patients to Self-Care Activity: Tertiary Care Setting in Saudi Arabia

AIM

To analyse the prevalence of self-care practices in T2D patients in KSA.

METHODS

The study was conducted in King Fahad Medical City (KFMC) in Saudi Arabia, and 385 patients were selected as samples. Data were collected using the Summary of Diabetes Self-Care Activities-Arabic (SDSCA) and consisted of 14 items related to self-care activities of T2D patients related to management and control of disease and four other aspects related to education and advice from healthcare members regarding management of T2D.

RESULTS

The self-care attributes including adherence to medication commitment activities (M = 6.13, SD = 1.25) were the most practised of all the domains. Glucose monitoring (M = 4.15, SD = 2.42) and foot care (M = 3.28, SD = 1.69) were at an average level, and adherence to the diet plan and exercise was found to be at a poor level (M = 2.57, SD = 1.73 and M = 2.13, SD = 2.00) respectively. About 179 patients (74.3%) were found to be advised to follow a low-fat eating plan, and only 89 patients (36.9%) had received information concerning fruits and vegetables in their diet. More than 90% patients were found to be advised to strictly carry out exercise and blood sugar monitoring.

CONCLUSION

It was found that adherence to self-care activities including diet, exercise, and foot care was relatively poor while intake of medication was strictly followed. The education provided by healthcare providers related to self-management attributes was found to be significant and had positive effects on the overall health and well-being of T2D patients.

The Effects of Smoking Cessation on Diabetes Mellitus Patients

BACKGROUND

Smoking is an established predictor of type 2 diabetes. However, the link between smoking cessation and diabetes progression remains a subject of scholarly investigation.

OBJECTIVE

The objective of this systematic review is to establish the link between smoking cessation and diabetes.

DATA SOURCES

The study utilized conference abstracts and peer-reviewed journals that reported randomized controlled trials smoking cessation interventions for diabetes patients.

RESULTS

Results from the review were inconclusive on the link between smoking cessation and diabetes. On one hand, several researchers have confirmed a positive correlation between smoking cessation and decreased risk of diabetes. On the other hand, some researchers have demonstrated that immediate withdrawal of nicotine resulted in increased risk of diabetes; however, this risk reduces with time.

CONCLUSION

The result of this review did not estblish a clear relationship between smoking cessation and diabates.

LIMITATIONS

Compared to other studies examining the implication of smoking on chronic diseases, this study identified a very small number of trials evaluating the effect of smoking cessation on diabetes. The small number of studies implies that the results may not be suitable for generalization.

IMPLICATION

Results from the review can help in the development of a tailored intervention for effective management of diabetes in smoking patients.

Glycemic Control, Diabetes Complications and Their Determinants Among Ambulatory Diabetes Mellitus Patients in Southwest Ethiopia: A Prospective Cross-Sectional Study

BACKGROUND

Over the past two decades, the prevalence of diabetes has increased faster in low- and middle-income countries than in high-income countries. Regardless of the instant growth in the prevalence of diabetes in Ethiopia, up-to-date data regarding glycemic control and related complications of diabetes is inadequate. This study aimed to identify glycemic control and chronic complications and their determinants among ambulatory diabetic patients at Mizan-Tepi University Teaching Hospital (MTUTH).

METHODS

We conducted facility-based cross-sectional study from February 25 to March 25, 2019, at Mizan-Tepi University Teaching Hospital. Patients' demographic data, diabetes complications, and treatments were collected using pretested questionnaire and data abstraction format. Data was entered by using Epidata manager 4.0.2.101, and statistical analysis was done by SPSS version 21. Bivariate logistic regression was done to see the association between independent variables and glycemic control and complication. Multivariable logistic regression analyses using backward selection were done to identify the predictors of poor glycemic control and complication at a P-value of <0.05.

RESULTS

One hundred ambulatory diabetic patients were included in this study. The mean duration of diabetes and the mean age of the participants were 3.95±5.85 and 46.66±15.53 years, respectively. About 71 (71%) of the studied diabetic patients had uncontrolled fasting blood glucose (FBG) level. More than half of the diabetic patients (59%) developed chronic complications of diabetes. Low medication adherence (adjusted odds ratio (AOR)=11.78, 95%CI: 1.09-17.17) and inappropriate doses in the first, second, and third clinic visits (AOR=7.70, 95%CI: 1.79-33.01; AOR=8.09, 95%CI: 1.90-34.33; AOR=4.34, 95%CI: 1.09-17.17), respectively, were independent predictors of uncontrolled FBG. No variable was found to be an independent predictor of chronic diabetic complication on multivariable logistic regression analyses.

CONCLUSION

Poor glycemic control and diabetes complications among ambulatory diabetic patients were high. Low medication adherence and inappropriate doses in the first, second, and third clinic visits were independent predictors of poor glycemic control.

Determinants of poor glycemic control among adult patients with type 2 diabetes mellitus in Jimma University Medical Center, Jimma zone, south west Ethiopia: a case control study

OBJECTIVE AND BACKGROUND

In 2015 approximately 5.0 million people were estimated to have died from diabetes. Poor glycemic control is the most determinant of diabetes-related complication and death. The percentage of patients whose blood glucose level are not well controlled remains high yet. The aim of this study is to identify the determinants of poor glycemic control at the diabetes clinic of the Jimma University Medical Center from April 01 to June 30/2017.

METHODS

Facility-based case-control study design was conducted on patients with type 2 diabetes mellitus on follow-up at the diabetes clinic of Jimma University medical center. The consecutive sampling technique was employed and data were collected from April to June 2017. The data were entered using Epidata manager version 4.0.2 and exported to SPSS Version 21 for analysis. Logistic regression analysis was performed and variables with the p-value of less than 0.05 were considered as statistically significant determinants of poor glycemic control.

RESULT

The study was conducted on 410 patients, of which 228 males and 182 females. The determinants of poor glycemic control were comorbidities [Adjusted odd ratio(AOR) = 2.56, 95%CI = 1.10-5.96], lack of self-monitoring blood glucose [AOR = 3.44,95%CI = 1.33-8.94], total cholesterol level of 200 mg/dl or more [AOR = 3.62, 95%CI = 1.46-8.97], diabetes duration of greater than 7 years [AOR = 3.08, 95%CI = 1.33-7.16], physical activity of three or less than three days [AOR = 4.79, 95%CI = 1.70-13.53], waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female [AOR = 3.52, 95%CI = 1.23-10.11], being on metformin plus insulin [AOR = 9.22, 95%CI = 2.90-29.35] and being on insulin [AOR = 4.48, 95%CI = 1.52-13.16].

CONCLUSION

Lack of Self-monitoring blood glucose, presence of comorbidities, duration of diabetes mellitus, physical activity of three or less than three days, total cholesterol of 200 mg/dl or more, waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female, and types of antidiabetic medication were the independent predictors of poor glycemic control. Effort should be made towards reducing these factors by the concerned body.

Use of Dapagliflozin in the Management of Type 2 Diabetes Mellitus: A Real-World Evidence Study in Indian Patients (FOREFRONT)

Background: Dapagliflozin is approved in India based on a controlled clinical study. This study included type 2 diabetes mellitus (T2DM) Indian patients to determine effectiveness of dapagliflozin in the real-world setup. Methods: Data were collected retrospectively and prospectively for 3 months. Primary endpoint was mean change in glycated hemoglobin (HbA1c) from baseline to months 3 and 6. Patients were stratified by baseline HbA1c and body mass index (BMI). Paired t-test or Wilcoxon signed-rank test at 5% level of significance with two-sided 95% confidence intervals analyzed endpoints. Results: Total 98.1% (n = 1941/1978) patients completed the study, majority of them were men (57.5%), <60 years (77.8%). Mean (standard deviation [SD]) HbA1c decreased significantly from baseline (9.11% [1.44]) to month 3 (8.11% [1.22]; Δ = 1.00% [1.01]) and month 6 (7.62% [1.04]; Δ = 1.49% [1.18]), P < 0.001. Per baseline HbA1c stratification, the largest mean (SD) decrease in HbA1c was in patients with baseline HbA1c >10% (1.86% [1.32] at month 3; 2.80% [1.22] at month 6). Decrease in mean body weight was significant from baseline (78.15 kg [13.48]) to month 3 (77.01 kg [13.21]; Δ = 1.14 kg [2.21]) and month 6 (76.16 kg [13.09]; Δ = 1.86 kg [3.04]), P < 0.001, with maximum weight loss in patients with BMI >30 kg/m² (1.60 kg [2.50] and 2.56 kg [3.50] at months 3 and 6, respectively). Systolic/diastolic blood pressure also improved. Of the 58 (2.9%) patients having ≥1 adverse event (AE), 9 (0.5%) had vulvovaginitis and 4 (0.2%) each had fungal infection and urinary tract infection (UTI). One patient had a serious AE (SAE) of UTI. No patients died or discontinued the study because of AEs or SAEs. Conclusion: Dapagliflozin significantly decreased HbA1c and body weight in Indian T2DM patients. Dapagliflozin was well tolerated and no new safety signals were detected.

Glycaemic Control for People with Type 2 Diabetes Mellitus in Bangladesh - An urgent need for optimization of management plan

AIMS

The objective of this study was to identify the determinants of glycaemic control among people with type 2 diabetes mellitus in Bangladesh. A cross-sectional study was carried out during March to September 2017, and 1253 adult patients with type 2 diabetes mellitus were recruited from six hospitals. Data were collected from patients via face-to-face interview, and their medical records were reviewed. Multiple logistic regression analysis was performed. Among the participants, 53.2% were male. Mean (±SD) age was 54.1 (±12.1) years and mean (±SD) duration of diabetes was 9.9 (±7.2) years. About 82% participants had inadequate glycaemic control (HbA1c ≥ 7%) and 54.7% had very poor control (HbA1c ≥ 9%). Low education level, rural residence, unhealthy eating habits, insulin use, infrequent follow up check-ups and history of coronary artery diseases found associated with inadequate and very poor controls. Being female and smokeless tobacco consumer appeared to be associated with inadequate control however cognitive impairment was associated with very poor control only. Prevalence of inadequate glycaemic level was very high in Bangladesh. Having understood relatable lifestyle modification factors, demographics and co-morbidities among people with type 2 diabetes, health care providers in conjunction with patients should work together to address the glycaemic control.

Effect of Vitamin C as an Adjunct in Nonsurgical Periodontal Therapy in Uncontrolled Type 2 Diabetes Mellitus Patients

Objective  The main purpose of this article is to evaluate periodontal parameters of chronic periodontitis patients with uncontrolled type 2 diabetes mellitus after initial periodontal therapy plus vitamin C.

Materials and Methods  A double-blind, placebo-controlled, clinical trial was conducted. Subjects received initial periodontal therapy plus 500 mg/day vitamin C for 2 months ( n = 15) or placebo ( n = 16). Fasting blood sugar (FBS), hemoglobin A1c (HbA1C), and plasma vitamin C level were assessed at baseline and 2 months post-treatment. Plaque Index, Sulcus Bleeding Index, Gingival Index, pocket depth, and clinical attachment level were measured at baseline, 1 month, and 2 months post-treatment.

Results  Almost all subjects had low level of plasma vitamin C at baseline. In the test group, plasma vitamin C was significantly increased to an adequate level at the end of 2 months. After periodontal treatment, FBS and HbA1c were not significantly different compared with baseline in the test group. In the control group, FBS was significantly decreased from baseline. However, no significant difference between groups was found either in FBS or HbA1c. All periodontal parameters were significantly improved from baseline in both groups. However, no significant difference was found between groups.

Conclusion  Supplementation of 500 mg/day vitamin C did not give an additional benefit in promoting periodontal status in periodontitis patients with uncontrolled type 2 diabetes mellitus.

Improving the assessment of medication adherence: Challenges and considerations with a focus on low-resource settings

Improving patient survival and quality of life in chronic diseases requires prolonged and often lifelong medication intake. Less than half of patients with chronic diseases globally are adherent to their prescribed medications which preclude the full benefit of treatment, worsens therapeutic outcomes, accelerates disease progression, and causes enormous economic losses. The accurate assessment of medication adherence is pivotal for both researchers and clinicians. Medication adherence can be assessed through both direct and indirect measures. Indirect measures include both subjective (self-report measures such as questionnaire and interview) and objective (pill count and secondary database analysis) measures and constitute the mainstay of assessing medication adherence. However, the lack of an inexpensive, ubiquitous, universal gold standard for assessment of medication adherence emphasizes the need to utilize a combination of measures to differentiate adherent and nonadherent patients. The global heterogeneity in health systems precludes the development of a universal guideline for evaluating medication adherence. Methods based on the secondary database analysis are mostly ineffectual in low-resource settings lacking electronic pharmacy and insurance databases and allowing refills without updated, valid prescriptions from private pharmacies. This significantly restricts the choices for assessing adherence until digitization of medical data takes root in much of the developing world. Nevertheless, there is ample scope for improving self-report measures of adherence. Effective interview techniques, especially accounting for suboptimal patient health literacy, validation of adherence questionnaires, and avoiding conceptual fallacies in reporting adherence can improve the assessment of medication adherence and promote understanding of its causal factors.

Maintenance of good glycaemic control is challenging - A cohort study of type 2 diabetes patient in North Karelia, Finland

AIMS

This study assessed type 2 diabetes treatment outcomes and process indicators using a comprehensive type 2 diabetes patient cohort in North Karelia, Finland, from 2011 to 2016.

METHODS

Data from all diagnosed type 2 diabetes patients (n = 8429) living in North Karelia were collated retrospectively from regional electronic patient records. We assessed whether HbA1c and low-density lipoprotein (LDL) were measured and managed as recommended.

RESULTS

The HbA1c measurement rate improved (78% vs 89%) during 2011-2012 and 2015-2016, but a gradual deterioration in glycaemic control (HbA1c < 7.0% or 53 mmol/mol) was observed among both females (75% vs 67%) and males (72% vs 64%). The LDL measurement rate initially improved from the baseline. LDL control (<2.5 mmol/L) improved among both females (52% vs 59%) and males (58% vs 66%). A gender difference was observed in the achievement of the treatment target for LDL, with females showing worse control.

CONCLUSIONS

Low-density lipoprotein (LDL) control in type 2 diabetes patients has improved, but the existence of gender disparities needs further attention. Maintaining appropriate HbA1c control among type 2 diabetes patients over time appears to be difficult. Active follow-up and tailored treatment have the potential to improve the quality of care. Electronic patient records could be more efficiently used to improve the quality of care and to support decision-making.

Factors associated with glycemic control in type 2 diabetic patients in Saudi Arabia

OBJECTIVE

To identify factors associated with glycemic control in type 2 diabetes mellitus patients in tertiary academic hospital.

RESEARCH DESIGN AND METHODS

This was a retrospective cross-sectional study of adults with type 2 diabetes mellitus. Data were extracted from the electronic health record (EHR) database for the period from 1st of January to 31st of December 2016. Participants were considered to have a glucose control if the HbA1c level was less than 7% [53 mmol/L]. Descriptive analysis and multivariable logistic regression model were performed to assess the factors associated with glycemic control.

RESULTS

A total of 728 patients were included in the study for which (65%) were female, and about 60% of the sample size was between 45 and 60 years old. Multivariate logistic regression model showed participants older than the age of 65 were less likely to have controlled diabetes compared to the younger participants (OR: 0.53 [CI: 0.30-0.93]). Moreover, those who had hypertension (OR: 0.61 [CI: 0.43-0.86]) and dyslipidemia (OR: 0.53 [CI: 0.38-0.74]) were less likely to have controlled diabetes, while those with asthma (OR: 2.06 [CI: 1.16-3.68]) were more likely to have controlled diabetes. The model also showed that vitamin D deficiency was not associated with glycemic control in type 2 diabetes patients (OR 0.80 [95% CI 0.58-1.12]).

CONCLUSION

These findings highlighted the need for appropriate management in older adult patients to prevent the complication of type 2 diabetes. Furthermore, attention should be exercised for patients with factors associated with poor glycemic control such as hypertension and dyslipidemia.

Effect of patient characteristics on medication adherence among patients with type 2 diabetes mellitus: a cross-sectional survey

Background: The prevalence of diabetes mellitus (DM) is steadily increasing worldwide, with a significant DM population in Asian countries. Adherence to medications is important to achieve good glycaemic control among patients with DM. Thus, patients' adherence to their medication regimen should be determined to optimise DM management. Aims: To determine medication adherence and the relationship between patient profile and medication adherence among patients with type 2 DM (T2DM). Design: Cross-sectional survey. Methods: This study was conducted in a public hospital in Selangor, Malaysia, from December 2016 to June 2017. Data was obtained through administration of the Medication Compliance Questionnaire and an electronic medical records database. Multivariate logistic regression analysis was used to determine the predictors of medication adherence. Results: A total of 232 (95.9% response rate) patients participated in this study. The overall percentage of medication adherence among patients with DM was 55.2%. The majority of participants were female (53.4%), Malay (47.0%), aged 41-64 years (55.2%; mean age, 56.69 years), married (84.5%), unemployed (60.8%) and attended secondary school (53.9%). The factors independently associated with adherence were ethnicity (odds ratio [OR], 1.43; 95% confidence interval [CI]: 1.03-1.99) and haemoglobin A1c (HbA1c) level (OR, 2.71; 95% CI: 1.56-4.72). Conclusions: The medication adherence among patients with DM in a public hospital in Selangor, Malaysia was low. A health intervention emphasising patient-centred care is warranted to improve DM patients' adherence to prescribed medication. Considering that Malaysia has a multi-ethnic population, the patients' ethnicity and their HbA1c levels need to be considered in the implementation of any intervention to improve medication adherence. Impact statement: Medication adherence is influenced by individual patients' characteristics. To improve adherence to the medication regimen, nurses should consider patients' profiles.

Effectiveness and acceptability of continuous glucose monitoring for type 2 diabetes management: A narrative review

The present narrative review discusses the role of continuous glucose monitoring (CGM) in glycemic and weight control, and lifestyle behavior adherence in adults with type 2 diabetes. A literature search from January 2001 to November 2017 was carried out (MEDLINE, CINAHL, Web of Science and Scopus). Eligible studies were trials evaluating the use of CGM with the aim of achieving glucose control or lifestyle-related treatment adherence over a period of ≥8 weeks in adults with type 2 diabetes compared with usual care or another comparison intervention, or observational trials reporting CGM user experience. A total of 5,542 participants were recruited into 11 studies (eight randomized controlled trials [n = 5,346] and three observational studies [n = 196]). The sample size ranged 6-4,678 participants, the mean age was 51.7-60.0 years and diabetes duration was 2.1-19.2 years, with high heterogeneity between studies. Overall, the available evidence showed, compared with traditional self-monitoring of blood glucose levels, CGM promoted greater reductions in glycated hemoglobin, bodyweight and caloric intake; higher adherence rating to a personal eating plan; and increases in physical activity. High compliance to CGM wear-time and device calibration was reported (>90%). The addition of lifestyle and/or behavioral counseling to CGM appeared to further potentiate these improvements. Preliminary evidence suggests that CGM use promotes glycemic and weight control, and lifestyle behavior adherence in adults with type 2 diabetes. These benefits might be further enhanced with integration of diet, exercise, and glucose excursion education and counseling. However, specific attributes of effective interventions and the application of CGM information for promoting improved outcomes and healthier choices remain unclear.

Treatment Pattern and Factors Associated with Blood Pressure and Fasting Plasma Glucose Control among Patients with Type 2 Diabetes Mellitus in Police Referral Hospital in Ethiopia

BACKGROUND

The prevalence of T2DM in Ethiopia is on the rise according to certain studies. Appropriate management approaches are required to achieve desired goals of therapy in the clinical setup. This study was conducted to assess the treatment pattern and the factors associated with BP and FPG control among patients with T2DM in Federal Police Referral Hospital.

METHOD

An institution based cross sectional study was conducted from 15th October 2016 to 15th January 2017. A Systematic random sampling technique was employed in selecting the study participants. Data was collected using semi-structured interview and visiting medication records. SPSS version 20 was used for data analysis.

RESULTS

Out of a total of 414 participants who fulfilled the inclusion criteria, 361 were successfully interviewed and considered for further analysis. Target BP level was achieved in 206(57.1%) of the patients, whereas the proportion of hypertensive diabetics who attained the recommended BP target was 19.4% (n=40). Of the 361 participants who were checked about their current FPG level, only 142(39.3%) were found to be <130mg/dl. However, 87(24.1%) participants were found to control both BP and FPG levels. Gender, military status, comorbidity, type of therapy and dietary adherence showed a statistically significant association with outcome variables.

CONCLUSION

The proportion of participants with T2DM who achieved target BP, FPG or both was suboptimal. A comprehensive approach that involves targeted education on self-management strategies, individualized treatment plans, and continuous evaluation of treatment outcomes should be practiced.

Assessment of traditional knowledge of the antidiabetic plants of Darjeeling and Sikkim Himalayas in the context of recent phytochemical and pharmacological advances

Darjeeling and Sikkim Himalayas, a part of Eastern Himalayan Hotspot, is characterized by its richness of plant diversity. Herbal medicine has been one of the most popular and reliable healing practices among the different ethnic groups of this region for ages. However, the lack of documentation practice by the traditional healers has led to obscurity regarding the efficacy of herbal medicine among the present generation, though they have to depend on the same quite often. Meanwhile, several reviews have attempted to document the plants used for the treatment of diabetes from this region, but interestingly, very few research works can be obtained regarding the characterization of antidiabetic properties of the plants of this region. Therefore, it demands a better understanding of the potentiality of these plants in the purview of scientific evidence. This review article reports 55 such plant species which have been reported to be frequently used in the treatment of hyperglycemia and our objective was to validate the potentiality of the plants in the light of recent phytochemical and pharmacological researches being carried out locally or elsewhere.

The prevalence and determinants of poor glycemic control among adults with type 2 diabetes mellitus in Saudi Arabia

BACKGROUND

Although the prevalence of type 2 diabetes mellitus (T2DM) is rising sharply in Saudi Arabia, data on glycemic control, crucial to reducing diabetes mellitus complications, remain scarce. This study therefore investigated glycemic control status and the factors influencing poor glycemic control among adult T2DM patients in Saudi Arabia.

METHODS

This cross-sectional study examined 423 T2DM patients at a diabetic center in Tabuk, Saudi Arabia between September 2016 and July 2017. Glycemic levels were measured via fasting blood glucose (FBG) levels, and "poor glycemic control" was defined as FBG >130 mg/dL. Poor glycemic control's risk factors were identified using a logistic regression.

RESULTS

In the sample, 74.9% of the patients had poor blood glycemic control. Logistic regression revealed that T2DM patients had an increased chance of poorly controlled diabetes if they had family histories of diabetes (adjusted odds ratio [AOR] =7.38, 95% CI 4.09-13.31), longer diabetic durations (AOR =2.33, 95% CI 1.14-4.78 for 5-10 years and AOR =5.19, 95% CI 2.50-10.69 for >10 years), insufficient physical exercise (AOR =19.02, 95% CI 6.23-58.06), or were overweight (AOR =3.79, 95% CI 2.00-7.18), or obese (AOR =5.35, 95% CI 2.72-12.59).

CONCLUSION

A high proportion of the sampled patients had poor glycemic control, therefore, health care professionals should manage the associated risk factors to limit disease complications and improve the health of patients with diabetes.