Change in glycaemic control with structured diabetes self-management education in urban low-resource settings: multicentre randomised trial of effectiveness.

BACKGROUND: In high-resource settings, structured diabetes self-management education is associated with improved outcomes but the evidence from low-resource settings is limited and inconclusive. AIM: To compare, structured diabetes self-management education to usual care, in adults with type 2 diabetes, in low-resource settings. DESIGN: Single-blind randomised parallel comparator controlled multi-centre trial. Adults (> 18 years) with type 2 diabetes from two hospitals in urban Ghana were randomised 1:1 to usual care only, or usual care plus a structured diabetes self-management education program. Randomisation codes were computer-generated, and allotment concealed in opaque numbered envelopes. The intervention effect was assessed with linear mixed models. MAIN OUTCOME: Change in HbA1c after 3-month follow-up. Primary analysis involved all participants. CLINICALTRIAL: gov identifier:NCT04780425, retrospectively registered on 03/03/2021. RESULTS: Recruitment: 22nd until 29th January 2021. We randomised 206 participants (69% female, median age 58 years [IQR: 49-64], baseline HbA1c median 64 mmol/mol [IQR: 45-88 mmol/mol],7.9%[IQR: 6.4-10.2]). Primary outcome data was available for 79 and 80 participants in the intervention and control groups, respectively. Reasons for loss to follow-up were death (n = 1), stroke(n = 1) and unreachable or unavailable (n = 47). A reduction in HbA1c was found in both groups; -9 mmol/mol [95% CI: -13 to -5 mmol/mol], -0·9% [95% CI: -1·2% to -0·51%] in the intervention group and -3 mmol/mol [95% CI -6 to 1 mmol/mol], -0·3% [95% CI: -0·6% to 0.0%] in the control group. The intervention effect was 1 mmol/mol [95%CI:-5 TO 8 p = 0.726]; 0.1% [95% CI: -0.5, 0.7], p = 0·724], adjusted for site, age, and duration of diabetes. No significant harms were observed. CONCLUSION: In low-resource settings, diabetes self-management education might not be associated with glycaemic control. Clinician's expectations from diabetes self-management education must therefore be guarded.

Type 2 diabetes.

Type 2 diabetes accounts for nearly 90% of the approximately 537 million cases of diabetes worldwide. The number affected is increasing rapidly with alarming trends in children and young adults (up to age 40 years). Early detection and proactive management are crucial for prevention and mitigation of microvascular and macrovascular complications and mortality burden. Access to novel therapies improves person-centred outcomes beyond glycaemic control. Precision medicine, including multiomics and pharmacogenomics, hold promise to enhance understanding of disease heterogeneity, leading to targeted therapies. Technology might improve outcomes, but its potential is yet to be realised. Despite advances, substantial barriers to changing the course of the epidemic remain. This Seminar offers a clinically focused review of the recent developments in type 2 diabetes care including controversies and future directions.

The impact of the COVID-19 pandemic on diabetes services: planning for a global recovery.

The COVID-19 pandemic has disproportionately affected certain groups, such as older people (ie, >65 years), minority ethnic populations, and people with specific chronic conditions including diabetes, cardiovascular disease, kidney disease, and some respiratory diseases. There is now evidence of not only direct but also indirect adverse effects of COVID-19 in people with diabetes. Recurrent lockdowns and public health measures throughout the pandemic have restricted access to routine diabetes care, limiting new diagnoses, and affecting self-management, routine follow-ups, and access to medications, as well as affecting lifestyle behaviours and emotional wellbeing globally. Pre-pandemic studies have shown that short-term delays in delivery of routine care, even by 12 months, are associated with adverse effects on risk factor control and worse microvascular, macrovascular, and mortality outcomes in people with diabetes. Disruptions within the short-to-medium term due to natural disasters also result in worse diabetes outcomes. However, the true magnitude of the indirect effects of the COVID-19 pandemic on long-term outcomes and mortality in people with diabetes is still unclear. Disasters tend to exacerbate existing health disparities; as we recover ambulatory diabetes services in the aftermath of the pandemic, there is an opportunity to prioritise those with the greatest need, and to target resources and interventions aimed at improving outcomes and reducing inequality.

Cultural adaptation of a diabetes self-management education and support (DSMES) programme for two low resource urban settings in Ghana, during the COVID-19 era.

BACKGROUND: Type 2 diabetes is a significant public health problem globally and associated with significant morbidity and mortality. Diabetes self-management education and support (DSMES) programmes are associated with improved psychological and clinical outcomes. There are currently no structured DSMES available in Ghana. We sought to adapt an evidence-based DSMES intervention for the Ghanaian population in collaboration with the local Ghanaian people. METHODS: We used virtual engagements with UK-based DSMES trainers, produced locally culturally and linguistically appropriate content and modified the logistics needed for the delivery of the self-management programme to suit people with low literacy and low health literacy levels. CONCLUSIONS: A respectful understanding of the socio-cultural belief systems in Ghana as well as the peculiar challenges of low resources settings and low health literacy is necessary for adaptation of any DSMES programme for Ghana. We identified key cultural, linguistic, and logistic considerations to incorporate into a DSMES programme for Ghanaians, guided by the Ecological Validity Model. These insights can be used further to scale up availability of structured DSMES in Ghana and other low- middle- income countries.

Clinical practice recommendations for the detection and management of hyperglycemia in pregnancy from South Asia, Africa and Mexico during COVID-19 pandemic.

The human coronavirus disease 2019 (COVID-19) pandemic has affected overall healthcare delivery, including prenatal, antenatal and postnatal care. Hyperglycemia in pregnancy (HIP) is the most common medical condition encountered during pregnancy. There is little guidance for primary care physicians for providing delivery of optimal perinatal care while minimizing the risk of COVID-19 infection in pregnant women. This review aims to describe pragmatic modifications in the screening, detection and management of HIP during the COVID- 19 pandemic. In this review, articles published up to June 2021 were searched on multiple databases, including PubMed, Medline, EMBASE and ScienceDirect. Direct online searches were conducted to identify national and international guidelines. Search criteria included terms to extract articles describing HIP with and/or without COVID-19 between 1st March 2020 and 15th June 2021. Fasting plasma glucose, glycosylated hemoglobin (HbA1c) and random plasma glucose could be alternative screening strategies for gestational diabetes mellitus screening (at 24-28 weeks of gestation), instead of the traditional 2 h oral glucose tolerance test. The use of telemedicine for the management of HIP is recommended. Hospital visits should be scheduled to coincide with obstetric and ultrasound visits. COVID-19 infected pregnant women with HIP need enhanced maternal and fetal vigilance, optimal diabetes care and psychological support in addition to supportive measures. This article presents pragmatic options and approaches for primary care physicians, diabetes care providers and obstetricians for GDM screening, diagnosis and management during the pandemic, to be used in conjunction with routine antenatal care.

Atypical presentation of COVID-19 in a patient with type 2 diabetes at an urban primary care facility in Accra, Ghana.

This is a case report of a 55-year-old man with Type 2 Diabetes Mellitus who presented with progressive breathlessness, chest pain and hyperglycaemia. An initial impression of a chest infection was made. Management was initiated with antibiotics, but this was unsuccessful, and he continued to desaturate. A screen for Coronavirus Disease of 2019 (COVID-19) returned positive. There was no prodrome of fever or flu-like illness or known contact with a patient known to have COVID-19. This case is instructive as he didn't fit the typical case definition for suspected COVID-19. There is significant community spread in Ghana, therefore COVID-19 should be a differential diagnosis in patients who present with hyperglycaemia and respiratory symptoms in the absence of a febrile illness. Primary care doctors must have a high index of suspicion in cases of significant hyperglycaemia and inability to maintain oxygen saturation. Patients known to have diabetes and those not known to have diabetes may develop hyperglycaemia subsequent to COVID-19. A high index of suspicion is crucial for early identification, notification for testing, isolation, treatment, contact tracing and possible referral or coordination of care with other specialists. Early identification will protect healthcare workers and patients alike from cross-infection.

Glucovigilance in COVID-19.

The coronavirus disease (COVID-19) pandemic has influenced clinical care in unprecedented ways. There is an urgent need to share best practice in providing diabetes care services in areas affected by COVID. This is a brief review for clinicians managing diabetes in low-income countries based on currently available data. The data is rapidly evolving; however, people with diabetes and its related comorbidities have increased risk for severe disease, and prolonged recovery and mortality. This review is also informed by data from severe acute respiratory syndrome (SARS) caused by SARS coronavirus (SARS-CoV) and Middle East respiratory syndrome (MERS), caused by MERS coronavirus (MERS-CoV). These two viruses share similarities with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus with causes COVID-19. SARS-CoV-2 was also known as 2019-nCOV. We discuss glucovigilance in COVID-19, the challenges and the opportunities. We put a spotlight on investigational new drugs for treatment of COVID medications and virtual care. Diabetologists and clinicians handling high-volume diabetes clinics are at increased risk for contracting COVID-19.