Glycaemic control in diabetic patients in Zambia

Perceived social supports and associated factors among diabetes mellitus patients

Purpose

The aim of this study was to assess the Perceived Social Supports and Associated Factors Among Diabetes Mellitus Patients.

Methods and materials

A facility-based cross-sectional study on 399 randomly selected adult diabetes patients was conducted at JUMC with data collection between August and September 2021.The data was collected using diabetic social support tool through face-to-face interviews and document review checklist. Logistic regression was used to determine factors associated with perceived social support in diabetes patients.

Result

Two hundred nineteen (54.9%) out of 399 diabetes patients reported a good level of perceived social support. Informational support was the most reported (55.4%), followed by emotional support (52.9%), companionship support (52.9%), and instrumental or tangible support (48.8%). Having a family history of diabetes (AOR = 1.90, CI: 1.09, 3.51) and presence of chronic comorbidities (AOR = 2.01; CI: 1.08, 3.75) were positively associated with social support. Whereas unemployment (AOR = 0.09, CI: 0.02, 0.38) was negatively associated with social support.

Conclusion and recommendations

One of every two diabetes patients got adequate level of social support. Health care system, along with other stakeholders could strengthen social support in line with diabetes patients' lifestyle.

Poor glycemic control and associated factors among pediatric diabetes mellitus patients in northwest Ethiopia, 2020: facility-based cross sectional retrospective study design

Diabetes mellitus is a global public health problem. Glycemic control is a major public health problem. Diabetes results from elevated levels of glycaemia such as increased glucose and glycated hemoglobin, and controlling glycaemia is an integral component of the management of diabetes. Glycemic control in children is particularly difficult to achieve. Identifying determinants of poor glycemic control is important for early modification of diabetic related end organ damages. This study was aimed to assess the status of glycemic control and associated factors among pediatric diabetes mellitus patients in northwest Ethiopia. Facility-based cross sectional retrospective cohort study design was used and this study was conducted from September, 2015 to February, 2018. Simple random sampling was used to select 389 samples. Data were collected using an extraction checklist. Data were entered into Epi-data − 4.6, and analyzed using Stata-16. Finally, multivariable binary logistic regression was done. Poor glycemic control was more common among pediatric patients 39.3% (95% CI 34.6, 44.3). Treatment discontinuation (AOR 2.42, 95% CI 1.25, 4.69), age (AOR 1.15, 95% CI 1.03, 1.28) and treatment dose (AOR 0.96, 95 CI 0.92, 0.99) were significantly associated with poor glycemic control. Prevalence of poor glycemic control was high. Patient’s age, history of treatment discontinuation and dose of treatment were the significant contributing factors to poor glycemic control. These need to be addressed to attain the objective of adequate glycemic control.

Level of glycemic control and its associated factors among type II diabetic patients in debre tabor general hospital, northwest Ethiopia

INTRODUCTION

Poor glycemic control is the major risk factor for the development of acute and chronic diabetes complications. There are limited studies on the level of glycemic control and its associated factors among diabetic patients. So, this study aimed to assess the level of glycemic control and its associated factors among type II DM patients in Debre Tabor General Hospital.

METHODS

An institution based cross sectional study was conducted from November 1-30, 2017. Totally, 413 diabetic patients selected by systematic random sampling. The three months average fasting blood glucose was used to determine glycemic control. Regressions were fitted to identify associated factors. A p-value <0.05 was used to declare statistical significance.

RESULT

A total of 398 study participants were participated in the study with a response rate of 96.4%. Among 398 type II DM patients, 284 (71.4%) had poor glycemic control. Patient's educational status (able to read and write; AOR = 3.0, 95%CI (1.5, 5.7), (primary education; AOR = 4.5, 95%CI (1.8, 10.9), and (secondary education; AOR = 5.7, 95% CI (2.9, 11.2)))), family history of DM (AOR = 2.3, 95%CI (1.4, 3.9)), duration of DM since diagnosis (AOR = 0.3, 95% CI (0.1, 0.9)), and dietary adherence (AOR = 2.4, 95% CI (1.4, 4.1)) were associated factors to had good glycemic control.

CONCLUSION

Poor glycemic control was high. Educational status, family history of DM, duration of DM, and dietary adherence were the associated factors of glycemic control. Appropriate attention shall be given for glycemic control especially for patients with a longer duration. Health promotion related to medical recommendations is a cross-cutting intervention for diabetic patients and should be provided for all type II diabetic patients.

Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi

We assessed glycemic status and associations with socio-demographic, biomedical, anthropometric, and physical activity (PA) levels among adults with type 2 diabetes mellitus (T2DM) (n = 428; urban n = 288; semi-urban n = 140) using a cross-sectional study. Multivariate linear regression was used to determine factors associated with glycosylated hemoglobin (A1C) . A1C was clinically elevated ≥8% for 60.3% of the participants. Overall, age and PA levels showed a negative association with A1C, and positively with underweight status, duration of diabetes, and participants' view of fluctuating/unstable blood glucose and blood glucose not improved compared to first diagnosed. A significant negative association with A1C was shown with PA levels and additional blood glucose monitoring (BGM) beyond that received at the public clinic in the urban area. Whilst, in the semi-urban area, there was a significant positive association with A1C with regards to duration of diabetes and insulin regimen. Determinants of A1C in this target group are multifactorial, therefore, interventions aiming to improve diabetes clinical outcomes are needed to reduce the likelihood of serious ramifications. Additionally, a team approach from healthcare professionals is needed in conjunction with active patient engagement as well as the development of more comprehensive diabetes care guidelines and policies.

Fixed dose drug combinations - are they pharmacoeconomically sound? Findings and implications especially for lower- and middle-income countries

Introduction: There are positive aspects regarding the prescribing of fixed dose combinations (FDCs) versus prescribing the medicines separately. However, these have to be balanced against concerns including increased costs and their irrationality in some cases. Consequently, there is a need to review their value among lower- and middle-income countries (LMICs) which have the greatest prevalence of both infectious and noninfectious diseases and issues of affordability.Areas covered: Review of potential advantages, disadvantages, cost-effectiveness, and availability of FDCs in high priority disease areas in LMICs and possible initiatives to enhance the prescribing of valued FDCs and limit their use where there are concerns with their value.Expert commentary: FDCs are valued across LMICs. Advantages include potentially improved response rates, reduced adverse reactions, increased adherence rates, and reduced costs. Concerns include increased chances of drug:drug interactions, reduced effectiveness, potential for imprecise diagnoses and higher unjustified prices. Overall certain FDCs including those for malaria, tuberculosis, and hypertension are valued and listed in the country's essential medicine lists, with initiatives needed to enhance their prescribing where currently low prescribing rates. Proposed initiatives include robust clinical and economic data to address the current paucity of pharmacoeconomic data. Irrational FDCs persists in some countries which are being addressed.

Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria

BACKGROUND

The study investigated predictors of poor glycemic control in type 2 diabetes (T2DM).

METHODS

Data on demographics, anthropometric and clinical parameters were collected in a cross-section survey from 140 adults with T2DM, using standard tools/instruments. Glycated hemoglobin (A1C) was assessed as a measure of glycemic control.

RESULTS

Majority (83.3%) had poor glycemic control status of which about 95% constitute the elderly. The elderly (OR= 5.90, 95% Cl: 1.66-20.96) were more likely associated with poor glycemic control than the non-elderly (p = 0.006). Adjustment for significant predictor variables: Age, waist-hip ratio (WHR), Fasting plasma glucose (FPG) and Systolic blood pressure (SBP), although attenuated the odds (OR= 5.00, 95% CI: 1.19-20.96) of poor glycemic control, it still remained significantly (p = 0.028) higher in the elderly. Patients outside tight FPG control significantly (p = 0.001) showed poor glycemic cotrol than those within tight FPG (OR= 17.39, 95%Cl: 5.83-51.90), even with attenuated OR (OR= 10.85, 95%Cl: 3.10-37.96) and (OR=12.08, 95%Cl: 3.64-40.09) when non-significant and significant predictor variables were accounted for, respectively.

CONCLUSION

Age, WHR, FPG, and SBP were significantly associated with differences in glycemic control. The elderly and FPG outside tight control showed significantly increased odds of poor glycemic control status.

Glycemic control among diabetic patients in Ethiopia: A systematic review and meta-analysis

Introduction

Ethiopia recorded the highest numbers of people with diabetes in Africa. It is not uncommon for diabetic patients to have poor glycemic control leading to a number of complications. The aim of this systematic review and meta-analysis is to evaluate the level of glycemic control among diabetic patients in Ethiopia by combining the studies from the existing literature.

Materials and methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was employed to plan and conduct this review. A comprehensive electronic-based literature search was conducted in the databases of MEDLINE, HINARI, GOOGLE SCHOLAR, and SCIENCEDIRECT. Open meta-analyst software was used to perform meta-analyses. Proportions of good glycemic control among diabetic patients was calculated. Odds ratio was also calculated to check the presence of statistically significant difference in glycemic control among patients with type 1 and type 2 diabetes.

Results

A total of 22 studies were included in the final analysis. Meta-analysis of 16 studies showed that only one-third of patients [34.4% (95% CI: 27.9%-40.9%), p<0.001] achieving good glycemic control based on fasting plasma glucose measurements. Similar to the studies that used fasting plasma glucose, the rate of good glycemic control was found to be 33.2% [(95% CI: 21.8%-44.6%), p<0.001] based on glycosylated hemoglobin measurements. There was no statistically significant difference in the rates of glycemic control between patients with type 1 and type 2 diabetes (p = 0.167).

Conclusion

High proportion of diabetic patients were unable to achieve good glycemic control. There was no difference in glycemic control among type 1 and type 2 diabetic patients.

Physical Activity Pattern and Its Association with Glycaemic and Blood Pressure Control among People Living with Diabetes (PLWD) In The Ho Municipality, Ghana

Background

Physical activity (PA) offers considerable health benefits for diabetic patients. However, extensive high levels of inactivity has been reported among diabetic patients. This study sought to assess the patterns of physical activity and its relationship with two management-relevant outcomes (glycaemic and blood pressure control)among people living with diabetes in the Ho Municipality, Ghana.

Methods

A hospital-based cross-sectional study was carried out from January 2017 to April 2017 among 150 purposively recruited diabetic patients who were receiving care at the diabetes clinics of the Volta Regional Hospital and the Ho Municipal Hospital. A semi-structured questionnaire was used in capturing socio-demographic information. Physical activity was assessed using the International Physical Activity Questionnaire Short Form. Glycaemic and blood pressure control were evaluated within a three-month period from patients' records.

Results

Physical activity estimates among participants were 21.33%, 48% and 30.67% for high, moderate and low PA respectively. Glycaemic control among the study participants was 33.33% and blood pressure control was 58.67%. Both glycaemic and blood pressure control were significantly associated with PA.

Conclusion

In this group of PLWD in the Ho Municipality, high levels of inactivity, uncontrolled glycaemia and blood pressure exist. However, glycaemic and blood pressure control may be modulated by moderate-intensity physical activity.

Audit of insulin prescription patterns and associated burden among diabetics in a tertiary health institution in Nigeria

BACKGROUND

Insulin is one of the most important anti-diabetic agents in the management of diabetes even among type 2 diabetic.

OBJECTIVE

There was need to assess insulin adherence, mode of insulin delivery and burden of insulin usage among diabetics.

METHODS

A cross-sectional, prospective questionnaire, orally administered at a Diabetes Clinic of a University Teaching Hospital, SouthWest, Nigeria. Participants were consecutive patients with diabetes who were 18 years or older presently on insulin either alone or in combination with other anti-diabetic agents for at least 3 months. Baseline demographic and insulin treatment information were obtained.

RESULTS

Two hundred and thirteen (213) participants were studied. Of these, 21 (9.9%) had T1DM and 192 (90.1%) had T2DM, (means age, 58.6 ± 13.1 years, mean duration of diabetes, 7.0 ± 6.9 years). Insulin adherence was noted in 72.8% with better adherence among those who self-injected insulin compared to those who were injected by health care professionals (HCPs) or relations. Among the respondents, 80.8% were on human insulin and pre-mixed insulin was the most commonly used form of insulin (52.6%). Most participants (52.6%) were taking 10-20 units per day, only 22 (10.3%) were on >40units/day. Reuse of insulin needle was found in 74.6% of the participants. Major reasons for insulin omission were non-availability of insulin and patients being tired of insulin injection.

CONCLUSION

The insulin adherence among diabetics in this study was high. Non-availability of insulin, insulin injection pain and being tired of continual insulin usage were some of the reasons for non-adherent to insulin usage.

Community Health Workers in Diabetes Prevention and Management in Developing Countries

BACKGROUND

There is limited evidence regarding the effect of community health worker (CHW) interventions for prevention and management of the burgeoning epidemic of noncommunicable diseases (NCDs) in low- and middle-income countries (LMICs). The objective of this review was to critically appraise evidence regarding the effectiveness of CHW interventions for prevention and management of type 2 diabetes mellitus (T2DM) in LMICs.

METHODS

To identify studies that reported the effect of CHW interventions for prevention and management of T2DM in LMICs, Medline/PubMed, EMBASE, Web of Science (Science and Social Science Citation Indices), EBSCO (PsycINFO and CINAHL), POPLINE, the Cochrane Metabolic and Endocrine Disorders Group's Specialized Register, the Cochrane Central Register of Controlled Trials, the Grey literature (Google, Google Scholar), and reference lists of identified articles were searched from inception to May 31, 2017.

FINDINGS

Ten studies were included (4 pre- and post-studies, 2 randomized controlled trials, 2 cohort studies, 1 cross-sectional study, and 1 case-control study). The role of CHWs consisted of patient education, identification and referral of high-risk individuals to physicians, and provision of social support through home visits. Positive outcomes were reported in 7 of 10 studies. These outcomes included increased knowledge of T2DM symptoms and prevention measures; increased adoption of treatment-seeking and prevention measures; increased medication adherence; and improved fasting blood sugar, glycated hemoglobin, and body mass index. Three studies showed no significant outcomes.

CONCLUSIONS

CHWs have the potential to improve knowledge, health behavior, and health outcomes related to prevention and management of T2DM in LMICs. Given the limited number of studies included in this review, robust conclusions cannot be drawn at the present time.