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

Factors associated with glycaemic control and diabetes complications in patients at Bugando Medical Centre, Mwanza, Tanzania: A cross-sectional study design

BACKGROUND

Glycaemic control is essential for improving the quality of life in patients with Diabetes Mellitus (DM). Untreated hyperglycaemia can result in numerous severe and life-threatening complications, such as damage to the eyes, kidneys, nerves, heart, and peripheral vascular system. Appropriate glycaemic control and management is fundamental to prevent and delay diabetes complications. Therefore, this study aims to assess the prevalence of poor glycaemic control, its associated factors, and the prevalence of diabetes-related complications among DM patients.

METHODS

A cross-sectional study was conducted among 340 DM patients treated at Bugando Medical Center from 4th - 30th April 2023 to determine the prevalence of poor glycaemic control and its predictors. Secondary data from 7952 DM patients treated between April 2022 and 30th May 2023 were used to determine DM-related complications. STATA 15 version …was used for analysis.

RESULTS

Out of 340 patients, 66.4% had poor glycaemic control with HbA1c or Random Blood Glucose greater than 7% or 7mmol/L, respectively. Older age, duration of DM of more than 10 years, insulin therapy, and those unaware of glycaemic target goals were factors associated with poor glycaemic control. (AOR: 2.46, 95% CI: 1.28-6.01, P = 0.03), (AOR: 3.15, 95% CI: 2.22-6.55, P = 0.016), (AOR: 3.07, 95% CI: 2.10-6.12, P = 0.022) and (AOR: 3.42, 95% CI: 2.17-5.97, P = 0.001), respectively. Of the 7952 patient records reviewed indicated that 44.5% had complications, of which 25.8% had neurological complications and 55.3% had multiple complications.

CONCLUSION

Two-third of DM patients failed to achieve good glycaemic control and about half of the patient's records reviewed indicated they developed diabetic complications. Thus appropriate interventions are necessary to improve glycaemic control and prevent or control complications among DM patients.

Poor self-care practices and contributing factors among adults with type 2 diabetes in Adama, Ethiopia

Diabetes mellitus (DM) is a prominent global health challenge, characterized by a rising prevalence and substantial morbidity and mortality, especially evident in developing nations. Although DM can be managed with self-care practices despite its complexity and chronic nature, the persistence of poor self-care exacerbates the disease burden. There is a dearth of evidence on the level of poor self-care practices and contributing factors among patients with DM in the study area. Thus, this study assessed the proportion of poor self-care practices and contributing factors among adults with type 2 DM in Adama, Ethiopia. An institution-based cross-sectional study was conducted among 404 patients. Self-care practice was assessed by the summary of diabetes self-care activities questionnaires. Binary logistic regression was used to identify factors associated with poor self-care practices. An adjusted odds ratio with a 95% confidence interval was used to assess the strength of associations. The statistical significance was declared for a p-value < 0.05. The proportion of poor self-care practices was 54% [95% CI 49.1, 58.6]. Being divorced (AOR = 3.5; 95% CI 1.0, 12.2), having a lower level of knowledge (AOR = 1.70; 95% CI 1.0, 2.8), being on insulin (AOR = 6.3; 95% CI 1.9, 20.6), taking oral medication (AOR = 8.6; 95% CI 3.0, 24.5), being unaware of fasting blood sugar (AOR = 2.9; 95% CI 1.6, 5.2), not a member of a diabetic association (AOR = 3.6; 95% CI 1.7, 7.5), a lack of social support (AOR = 2.9; 95% CI 1.7, 4.9), and having a poor perceived benefit of self-care practices (AOR = 1.84; 95% CI 1.0, 3.2) were associated with poor self-care practices. Overall, this finding demonstrated that a significant percentage of participants (54%) had poor self-care practices. Being divorced, having a low level of knowledge about diabetes and fasting blood sugar, lacking social support, relying on oral medication, perceiving limited benefits from self-care practices, and not being a member of diabetic associations were identified as independent factors of poor self-care.

Association of quality of life with medication adherence and glycemic control in patients with type 1 diabetes

Background and objectives

Psychological factors and patients' health-related quality of life (HRQOL) affect the outcome of patients with type 1 diabetes mellitus (T1DM). In this study, we aimed to determine the HRQOL status in patients with T1DM and its association with glycemic control and medication adherence.

Methods

In this cross-sectional study, 227 T1DM patients were selected from the diabetes clinic, Imam Ali Hospital, Alborz University of Medical Sciences, and the Gabric database registry from 2020 to 2022. Demographic and diabetes characteristic checklist, medication adherence questionnaire (8-item Morisky Medication Adherence Scale (MMAS)), and QOL questionnaires (Short-Form-12 and PedsQL) were filled. Independent sample T-test was used to assess mean of QOL subscales with glycemic control and medication adherence. A logistic regression model was used to evaluate the association between glycemic control and medication adherence with QOl.

Results

Overall QOL scores in adults and children were 33.4 ± 7.1 based on Short-Form-12 and 76.2 ± 17.8 based on PedsQL, respectively. It was demonstrated that adults with Moderate/High adherence had higher QOL (p-value = 0.007). Likewise, Children with good glycemic control had higher psychosocial health scores (0.048). Logistic regression analysis did not reveal a significant association between adherence and QOL or Glycemic control and QOL in both adjusted and crude models.

Conclusion

Better glycemic control and medication adherence in children and adults, respectively, are related to the psychological aspects of QOL. We suggest that emotional intelligence, which is replaced by other predictors during adulthood, may contribute to glycemic control in children in the early years following diagnosis.

Understanding Gaps in the Hypertension and Diabetes Care Cascade: Systematic Scoping Review

BACKGROUND

Hypertension and diabetes are global health challenges requiring effective management to mitigate their considerable burden. The successful management of hypertension and diabetes requires the completion of a sequence of stages, which are collectively termed the care cascade.

OBJECTIVE

This scoping review aimed to describe the characteristics of studies on the hypertension and diabetes care cascade and identify potential interventions as well as factors that impact each stage of the care cascade.

METHODS

The method of this scoping review has been guided by the framework by Arksey and O'Malley. We systematically searched MEDLINE, Embase, and Web of Science using terms pertinent to hypertension, diabetes, and specific stages of the care cascade. Articles published after 2011 were considered, and we included all studies that described the completion of at least one stage of the care cascade of hypertension and diabetes. Study selection was independently performed by 2 paired authors. Descriptive statistics were used to elucidate key patterns and trends. Inductive content analysis was performed to generate themes regarding the barriers and facilitators for improving the care cascade in hypertension and diabetes management.

RESULTS

A total of 128 studies were included, with 42.2% (54/128) conducted in high-income countries. Of them, 47 (36.7%) focused on hypertension care, 63 (49.2%) focused on diabetes care, and only 18 (14.1%) reported on the care of both diseases. The majority (96/128, 75.0%) were observational in design. Cascade stages documented in the literature were awareness, screening, diagnosis, linkage to care, treatment, adherence to medication, and control. Most studies focused on the stages of treatment and control, while a relative paucity of studies examined the stages before treatment initiation (76/128, 59.4% vs 52/128, 40.6%). There was a wide spectrum of interventions aimed at enhancing the hypertension and diabetes care cascade. The analysis unveiled a multitude of individual-level and system-level factors influencing the successful completion of cascade sequences in both high-income and low- and middle-income settings.

CONCLUSIONS

This review offers a comprehensive understanding of hypertension and diabetes management, emphasizing the pivotal factors that impact each stage of care. Future research should focus on upstream cascade stages and context-specific interventions to optimize patient retention and care outcomes.

Frequency and correlates of poor glycemic control in patients with type 2 diabetes at Jimma Medical Centre, Ethiopia: a cross-sectional study

Introduction

the majority of studies in Ethiopia determine the prevalence of glycemic control employed by fasting blood sugar (FBS), which is impacted by a variety of factors. Hence, the purpose of this study was to assess the status of glycemic control using HbA1c and its correlates in patients with type 2 diabetes in Southwest Ethiopia.

Methods

a cross-sectional study was employed among 124 T2 diabetes mellitus (DM) patients at Jimma Medical Center (JMC), Southwest Ethiopia. HbA1c and FBS were estimated using the Cobas 6000 analyzer. The body mass index (BMI) and waist-to-hip ratio were calculated as the standard formula. Data were analyzed by SPSS version 25. Logistic regression analysis was employed to identify independent risk factors associated with poor glycemic control of DM patients.

Results

males comprised 63.7% (n=79) of the total respondents. The mean age of aOR: 2.21, 95% CI 1.13, 4.34; p = 0.01f participants was 51.84 ± 11.6 years; 60.5% (n=75) of T2 DM patients were in poor glycemic control (HbA1c ≥ 7%). In multivariate logistic regression analysis, BMI of ≥ 30, (aOR: 2.21, 95% CI 1.13, 4.34) increased waist-to-hip ratio (aOR: 1.63, 95% CI 0.82, 2.18), high systolic blood pressure (aOR: 1.52, 95% CI 1.11, 6.23), high FBS (aOR: 1.61, 95% CI 1.00, 4.12), and longer duration of DM (aOR: 1.23, 95% CI 0.87, 1.88) were associated with poor glycemic control.

Conclusion

the level of poor glycemic control in the study population is high. Obesity and/or overweight, central obesity, systolic hypertension, and fasting blood sugar levels were all associated with poor glycemic control in T2 DM patients.

Prevalence of Glycemic Control and Factors Associated With Poor Glycemic Control: A Systematic Review and Meta-analysis

The primary method for preventing health and health-related problems in diabetic people is glycemic control. Numerous studies have documented the importance of glycemic control and the factors that influence it. However, the results are dispersed. This study sought to identify the prevalence of poor glycemic control and associated factors in Ethiopia. Findings will be crucial to reduce the burden of poor glycemic control. Comprehensive search was performed from databases: PubMed, Global Health, CINAHL, IRIS, and FSTA. Gray literature sources were also explored. This document was prepared based on the PRISMA flowchart. The protocol is registered in PROSPERO (ID: CRD42022296583). STATA software was used for data analyses and I2 test with Cochrane Q statistics, and forest plot were used to verify heterogeneity. When the I2 value was higher than 50% and the p-value was 0.05, heterogeneity was deemed significant. To confirm publication bias, a funnel plot with an Egger's regression test was performed. The factors related to poor glycemic control were reported using pooled odds ratios (POR) and a 95% confidence interval. In this study, 46 papers totaling 15 457 people were used to calculate the pooled estimates. It was determined that 32.6% (95% CI: 28.3, 36.9) and 61.92% (95% CI: 57.92, 65.92) of the subjects, respectively, had good and poor glycemic control. Being male protected against poor glycemic control, while poor diet adherence, lack of exercise, poor adherence to anti-diabetic medications, and smoking increased the likelihood of poor glycemic control. Lack of formal education, no family history of diabetes, lack of glucometer for blood glucose monitoring, comorbidity, being overweight and prolonged length of stay with diabetes all contributed to poor glycemic control. Ethiopia had a fairly high rate of poor glycemic control. The main determinants are lifestyle factors. Therefore, it is important to focus on behavioral interventions.

Evaluation of glycemic control and related factors among outpatients with type 2 diabetes at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: a cross-sectional study

BACKGROUND

The goals of glycemic management for patients with diabetes are to prevent or delay complications and optimize quality of life. However, in clinical practice, the recommended glycemic control target is difficult to achieve. Therefore, it is important to identify factors that influence the outcomes of glycemia to improve the quality of diabetic management. The study aimed to evaluate the level and factors associated with glycemic control among type 2 diabetic outpatients at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.

METHODS

A hospital-based cross-sectional study was conducted among systematically selected 325 patients with type 2 diabetes who attended diabetic clinics at Tikur Anbessa Specialized Hospital. Pretested, structured, and interviewer-administered questionnaires were used to collect sociodemographic and diabetes-related information from March 1 to May 30, 2021. HbA1c was used to assess glycemic control according to the HbA1c target of < 7% ('good' control) as recommended by the American Diabetes Association for non-pregnant adults. The HbA1c level in the range of 7-8% was defined as 'inadequate' control and 'poor' at levels > 8%. Data entry and analysis were performed using SPSS v26. Multivariate logistic regression analysis was used to identify determinants of glycemic control.

RESULTS

The median level of HbA1c of the participants was 8.4% (IQR 6.8-10.1). And approximately three-quarters (73.8%) of the patients had inadequate and poor glycemic control (HbA1c ≥ 7%). Older age (AOR: 2.46, 95% CI: 1.28-6.01), DM duration of > 10 years (AOR: 3.15, 95% CI: 2.22-6.54), insulin therapy (AOR: 3.07, 95% CI: 2.10-6.12), poor diet compliance (AOR: 1.97, 95% CI: 1.28-3.52) and failure to set goals for glycemic control (AOR: 3.42, 95% CI: 2.17-5.97) were factors associated with inadequate and poor glycemic control.

CONCLUSIONS

The study revealed that a significant number of diabetic patients had inadequate and poor glycemic control levels. And this was associated with older age, longer duration of DM, insulin therapy, poor diet compliance, and failure to set control goals. This requires a focus on the associated factors identified and tailored management mechanisms to maintain good glycemic control.

Validity and reliability of the Japanese version of the diabetes knowledge test among in-patients with type 2 diabetes

AIMS/INTRODUCTION

The diabetes knowledge test (DKT) is unavailable in Japan. In this study, we developed and evaluated a Japanese version of the DKT (J-DKT) for in-patients with type 2 diabetes before and after receiving diabetes education.

MATERIALS AND METHODS

The J-DKT contains 12 questions (0-12 points) to assess knowledge regarding diabetes, its complications, and diabetic nutrition therapy. During the median 10 days of hospitalization, 107 patients with type 2 diabetes received diabetes education (20 min private lessons every day from physicians, two nutrition counselling programs from dietitians, and a 2 h group session conducted by physicians, dietitians, and nurses). The J-DKT was administered on admission and before discharge. To confirm the J-DKT's reliability, we assessed the internal consistency using Cronbach's α (≥0.70 was considered acceptable). To evaluate its validity, we investigated changes in the J-DKT total scores after the education programs and examined the differences in the scores among groups classified based on patient characteristics such as age, diabetes-related hospitalization history, and hospitalization duration.

RESULTS

The J-DKT total scores increased from 5 to 8 (P ˂ 0.01) after the education programs. The J-DKT before and after the program showed a Cronbach's α of 0.48 and 0.73, respectively. Except for age, baseline characteristics such as history and period of hospitalization for diabetes were not associated with the J-DKT scores after the education program.

CONCLUSIONS

The validity and reliability of the J-DKT after the diabetes education program were acceptable in this study.

Poor glycemic control and associated factors in diabetic people attending a reference outpatient clinic in Mato Grosso, Brazil

OBJECTIVES

To identify the proportion of poor of glycemic control and associated factors among people with type 2 diabetes attending a regional reference outpatient clinic in Mato Grosso (Brazil).

METHODS

This is a cross-sectional quantitative study based on data from medical records of 338 people with type 2 diabetes who attend a state reference outpatient clinic in Mato Grosso (Brazil). Information on glycemic control, sociodemographic factors, lifestyle and clinical conditions was collected.

RESULTS

The prevalence of elevated glycated hemoglobin was 47.34%. In the Poisson multiple regression model analysis with robust variance, poor glycemic control was significantly associated (p<0.05) with the following factors: insulin use (Prevalence Ratio -PR = 2.03), fasting glucose ≤70 and ≥100 mg/dL (PR = 2.0), postprandial glucose ≥180 mg/dL (PR = 1.76), no physical activity (PR = 1.62), the interaction between age group ≤59 years and the time of disease diagnosis >10 years (PR = 1.58), and presence of arterial hypertension (PR = 0.79).

CONCLUSIONS

Most users of the reference outpatient clinic with type 2 diabetes had poor glycemic control associated with risk factors that alter glycated hemoglobin and negatively affect the achievement of established glycemic levels.

Glycemic control and its determinants among patients with type 2 diabetes mellitus at Menelik II Referral Hospital, Ethiopia

Objective:

The objective of the study was to explore the level of glycemic control and its determinants among patients with type 2 diabetes mellitus at Menelik II Referral Hospital, Addis Ababa, Ethiopia.

Methods:

Cross-sectional study design was employed. The sample size was determined using a single proportion formula and 245 patients with type 2 diabetes mellitus were involved in this study. Systematic sampling method was used to select the study subjects. Standard questionnaire was used to collect patient’s biographic data, economic data, self-care activities, and patient compliance to medications. Summary statistics of a given data were calculated. Logistic regression model was used to measure the relationship between the outcome and predictor variable. Direction and strength of association was expressed using odds ratio and 95% confidence interval.

Result:

More than three-fourth, 191 (80.3%) of diabetic patients had poor glycemic control. Poor glycemic control was found to be 7.03 times higher among diabetic patients with duration of 5–10 years (adjusted odds ratio = 7.03, 95% confidence interval = 2.7–18.6). Similarly, diabetic patients with a duration of above 10 years were poorly controlled their blood sugar level (adjusted odds ratio = 2.3, 95% confidence interval = 1.028–5.08) in comparison to diabetic patients with a duration of fewer than 5 years. It was also found that compliance with a specific diet was significantly associated with good control of blood sugar level (adjusted odds ratio = 3.7, 95% confidence interval = 1.24–11.13).

Conclusion:

The magnitude of patients with poor glycemic control was high. Duration of diabetes and non-compliance with diets high in fruits, vegetables, and diets low in fat and sugar were significantly related to uncontrolled blood glucose levels. Therefore, developing strategies targeted toward improving blood glucose control with special attention to diabetes mellitus (DM) patients with a duration of ⩾5 years and those who poorly comply with their diet was strongly recommended.

Predictors of Poor Plasma Glucose Maintenance in Type II Diabetic People with Ophthalmic Complication: The Case of Dessie Hospitals in Ethiopia

BACKGROUND

Diabetes mellitus, the commonest metabolic disorder, leads to cardiovascular diseases, neurological problems, kidney injury, and visual disturbances. Such complications can be prevented by maintaining plasma glucose level in the normal range, including ophthalmic complications. Hence, this study intended to pinpoint predictors of poor plasma glucose maintenance in type II DM people with ophthalmic complication.

METHODS

We conducted a cross-sectional survey using simple random sampling approach to recruit participants. An interviewer-based questionnaire was used and ophthalmic complication was determined by visual acuity test. We used statistical package for social sciences version 23 to analyze the data and descriptive statistics were calculated. Predictors were ascertained using multivariable logistic regression at p≤0.05. Besides, AOR with 95% CI was also estimated to show extent of association.

RESULTS

The prevalence of poor plasma glucose maintenance was 65.1% (56.6-73.6). Poor plasma maintenance was predicted by the absence of formal education (OR: 0.67; 0.20-2.23), DM history of family members (OR=4.29; 1.33-13.83), longer duration of diabetes (OR: 3.02; 1.09-8.63), insulin use (OR=10.05; 2.72-52.35), and less physical exercise (OR=2.91; 1.47-5.76).

CONCLUSION

Study subjects with no education, DM history of family members, prolonged DM, insulin medication, and inadequate exercise had higher rate of poor plasma glucose maintenance. Health professionals should educate patients on the importance of self-adherence to plasma glucose monitoring, and encourage them to practice recommended physical activity.

Insulin Knowledge, Handling, and Storage among Diabetic Pilgrims during the Hajj Mass Gathering

BACKGROUND

Diabetes is one of the most common underlying health conditions among Hajj pilgrims. Many diabetics manage their condition using insulin, which requires appropriate storage conditions to maintain its stability and effectiveness. We aimed to investigate insulin knowledge, storage, and handling among diabetic pilgrims during Hajj to identify specific areas for improvement.

METHOD

Adult diabetic pilgrims from 22 countries were interviewed using a structured questionnaire during the 2019 Hajj.

RESULTS

The study enrolled 277 diabetic pilgrims with a mean age of 58.4 years (SD = 10.4, range: 20-83) and male : female ratio of 1.6 : 1. Most participants (86.4%) were literate and reported using insulin for a mean of 7.1 years (SD = 5.3, range: 1-23). Over 95% of pilgrims brought their insulin with them from their country of origin, where they also received most of their insulin storage information, mainly from physicians (77.8%) and pharmacists (59.6%). Pilgrims' knowledge regarding insulin storage was just above average (mean knowledge score = 0.51; SD = 0.23). Pilgrims who were literate and previously received education on insulin storage, those with a higher level of education, and those with a longer duration of insulin therapy, had significantly higher knowledge scores. Pilgrims' storage and handling of their insulin during Hajj also varied depending on the stages of their pilgrimage journey.

CONCLUSION

Inadequate knowledge and inappropriate practices regarding insulin handling and storage were identified among diabetic Hajj pilgrims, which could compromise the quality of insulin and lead to health hazards. Improving diabetic pilgrims' knowledge of diabetes management, including insulin storage, will be beneficial during the pilgrimage and beyond.