Ethnic disparities in initiation and intensification of diabetes treatment in adults with type 2 diabetes in the UK, 1990-2017: A cohort study

Ethnic inequalities in age-related patterns of multiple long-term conditions in England: Analysis of primary care and nationally representative survey data

Little is known about the patterning of multiple long-term conditions (MLTCs) by age, ethnicity and across conceptualisations of MLTCs (e.g. MLTCs with/without mental health conditions [MHCs]). We examined ethnic inequalities in age-related patterns of MLTCs, and combinations of physical and MHCs using the English GP Patient Survey and Clinical Practice Research Datalink. We described the association between MLTCs and age using multilevel regression models adjusting for sex and area-level deprivation with patients nested within GP practices. Similar analyses were repeated for MLTCs that include MHCs. We observed ethnic inequalities from middle-age onwards such as older Pakistani, Indian, Black Caribbean and Other ethnic people had increased risk of MLTCs compared to white British people, even after adjusting for area-level deprivation. Compared to white British people, Gypsy and Irish Travellers had higher levels of MLTCs across the age groups, and Chinese people had lower levels. Pakistani and Bangladeshi people aged 50-74 years were more likely than white people to report MLTCs that included MHCs. We find clear evidence of ethnic inequalities in MLTCs. The lower prevalence of MLTCs that include MHCs among some minoritised ethnic groups may be an underestimation due to underdiagnosis and/or inadequate primary care and requires further scrutiny.

An eye on equity: faricimab-driven health equity improvements in diabetic macular oedema using a distributional cost-effectiveness analysis from a UK societal perspective

BACKGROUND/OBJECTIVES

Diabetic macular oedema (DMO) is a leading cause of blindness in developed countries, with significant disease burden associated with socio-economic deprivation. Distributional cost-effectiveness analysis (DCEA) allows evaluation of health equity impacts of interventions, estimation of how health outcomes and costs are distributed in the population, and assessments of potential trade-offs between health maximisation and equity. We conducted an aggregate DCEA to determine the equity impact of faricimab.

METHODS

Data on health outcomes and costs were derived from a cost-effectiveness model of faricimab compared with ranibizumab, aflibercept and off-label bevacizumab using a societal perspective in the base case and a healthcare payer perspective in scenario analysis. Health gains and health opportunity costs were distributed across socio-economic subgroups. Health and equity impacts, measured using the Atkinson inequality index, were assessed visually on an equity-efficiency impact plane and combined into a measure of societal welfare.

RESULTS

At an opportunity cost threshold of £20,000/quality-adjusted life year (QALY), faricimab displayed an increase in net health benefits against all comparators and was found to improve equity. The equity impact increased the greater the concerns for reducing health inequalities over maximising population health. Using a healthcare payer perspective, faricimab was equity improving in most scenarios.

CONCLUSIONS

Long-acting therapies with fewer injections, such as faricimab, may reduce costs, improve health outcomes and increase health equity. Extended economic evaluation frameworks capturing additional value elements, such as DCEA, enable a more comprehensive valuation of interventions, which is of relevance to decision-makers, healthcare professionals and patients.

Tertiary centre study highlights low inpatient deintensification and risks associated with adverse outcomes in frail people with diabetes

INTRODUCTION

The community deintensification rates in older people with diabetes are low and hospital admission presents an opportunity for medication review. We audited the inpatient assessment and deintensification rate in people with diabetes and frailty. We also identified factors associated with adverse inpatient outcomes.

METHODS

A retrospective review of electronic charts was conducted in all people with diabetes and clinical frailty score ≥6 who were discharged from the medical unit in 2022. Data on demographics, comorbidities and background glucose-lowering medications were collected.

RESULTS

Six-hundred-and-sixty-five people with diabetes and moderate/severe frailty were included in our analysis. For people with no HbA1c in the last six months preceding admission, only 9.0% had it assessed during inpatient. Deintensification rates were 19.1%. Factors that were associated with adverse inpatient outcomes included inpatient hypoglycaemia, non-White ethnicity, and being overtreated (HbA1c <7.0% [53 mmol/mol] with any glucose-lowering medication).

CONCLUSION

The assessment and deintensification rate in secondary care for people with diabetes and frailty is low. Inpatient hypoglycaemia, non-White ethnicity, and overtreatment are important factors in determining inpatient outcomes highlighting the importance of deintensification and the need for an evidence-based risk stratification tool.

Peter WL, Shubrook JH. Type 2 Diabetes and Chronic Kidney Disease: An Opportunity for Pharmacists to Improve Outcomes

Chronic kidney disease (CKD) is an important contributor to end-stage kidney disease, cardiovascular disease, and death in people with type 2 diabetes (T2D), but current evidence suggests that diagnosis and treatment are often not optimized. This review examines gaps in care for patients with CKD and how pharmacist interventions can mitigate these gaps. We conducted a PubMed search for published articles reporting on real-world CKD management practice and compared the findings with current recommendations. We find that adherence to guidelines on screening for CKD in patients with T2D is poor with particularly low rates of testing for albuminuria. When CKD is diagnosed, the prescription of recommended heart-kidney protective therapies is underutilized, possibly due to issues around treatment complexity and safety concerns. Cost and access are barriers to the prescription of newer therapies and treatment is dependent on racial, ethnic, and socioeconomic factors. Rates of nephrologist referrals for difficult cases are low in part due to limitations of information and communication between specialties. We believe that pharmacists can play a vital role in improving outcomes for patients with CKD and T2D and support the cost-effective use of healthcare resources through the provision of comprehensive medication management as part of a multidisciplinary team. The Advancing Kidney Health through Optimal Medication Management initiative supports the involvement of pharmacists across healthcare systems to ensure that comprehensive medication management can be optimally implemented.

Incident dementia risk among patients with type 2 diabetes receiving metformin versus alternative oral glucose-lowering therapy: an observational cohort study using UK primary healthcare records

INTRODUCTION

4.2 million individuals in the UK have type 2 diabetes, a known risk factor for dementia and mild cognitive impairment (MCI). Diabetes treatment may modify this association, but existing evidence is conflicting. We therefore aimed to assess the association between metformin therapy and risk of incident all-cause dementia or MCI compared with other oral glucose-lowering therapies (GLTs).

RESEARCH DESIGN AND METHODS

We conducted an observational cohort study using the Clinical Practice Research Datalink among UK adults diagnosed with diabetes at ≥40 years between 1990 and 2019. We used an active comparator new user design to compare risks of dementia and MCI among individuals initially prescribed metformin versus an alternative oral GLT using Cox proportional hazards regression controlling for sociodemographic, lifestyle and clinical confounders. We assessed for interaction by age and sex. Sensitivity analyses included an as-treated analysis to mitigate potential exposure misclassification.

RESULTS

We included 211 396 individuals (median age 63 years; 42.8% female), of whom 179 333 (84.8%) initiated on metformin therapy. Over median follow-up of 5.4 years, metformin use was associated with a lower risk of dementia (adjusted HR (aHR) 0.86 (95% CI 0.79 to 0.94)) and MCI (aHR 0.92 (95% CI 0.86 to 0.99)). Metformin users aged under 80 years had a lower dementia risk (aHR 0.77 (95% CI 0.68 to 0.85)), which was not observed for those aged ≥80 years (aHR 0.95 (95% CI 0.87 to 1.05)). There was no interaction with sex. The as-treated analysis showed a reduced effect size compared with the main analysis (aHR 0.90 (95% CI 0.83 to 0.98)).

CONCLUSIONS

Metformin use was associated with lower risks of incident dementia and MCI compared with alternative GLT among UK adults with diabetes. While our findings are consistent with a neuroprotective effect of metformin against dementia, further research is needed to reduce risks of confounding by indication and assess causality.

Health Resource Utilisation and Disparities: an Ecological Study of Admission Patterns Across Ethnicity in England Between 2017 and 2020

BACKGROUND AND AIM

The COVID-19 pandemic highlighted adverse outcomes in Asian, Black, and ethnic minority groups. More research is required to explore underlying ethnic health inequalities. In this study, we aim to examine pre-COVID ethnic inequalities more generally through healthcare utilisation to contextualise underlying inequalities that were present before the pandemic.

DESIGN

This was an ecological study exploring all admissions to NHS hospitals in England from 2017 to 2020.

METHODS

The primary outcomes were admission rates within ethnic groups. Secondary outcomes included age-specific and age-standardised admission rates. Sub-analysis of admission rates across an index of multiple deprivation (IMD) deciles was also performed to contextualise the impact of socioeconomic differences amongst ethnic categories. Results were presented as a relative ratio (RR) with 95% confidence intervals.

RESULTS

Age-standardised admission rates were higher in Asian (RR 1.40 [1.38-1.41] in 2019) and Black (RR 1.37 [1.37-1.38]) and lower in Mixed groups (RR 0.91 [0.90-0.91]) relative to White. There was significant missingness or misassignment of ethnicity in NHS admissions: with 11.7% of admissions having an unknown/not-stated ethnicity assignment and 'other' ethnicity being significantly over-represented. Admission rates did not mirror the degree of deprivation across all ethnic categories.

CONCLUSIONS

This study shows Black and Asian ethnic groups have higher admission rates compared to White across all age groups and when standardised for age. There is evidence of incomplete and misidentification of ethnicity assignment in NHS admission records, which may introduce bias to work on these datasets. Differences in admission rates across individual ethnic categories cannot solely be explained by socioeconomic status. Further work is needed to identify ethnicity-specific factors of these inequalities to allow targeted interventions at the local level.

Glucose-lowering drug use in migrants and native Danes with type 2 diabetes: Disparities in combination therapy and drug types

AIM

To examine disparities in glucose-lowering drug (GLD) usage between migrants and native Danes with type 2 diabetes (T2D).

MATERIALS AND METHODS

In a nationwide, register-based cross-sectional study of 253 364 individuals with prevalent T2D on December 31, 2018, we examined user prevalence during 2019 of (i) GLD combination therapies and (ii) individual GLD types. Migrants were grouped by origin (Middle East, Europe, Turkey, Former Yugoslavia, Pakistan, Sri Lanka, Somalia, Vietnam), and relative risk (RR) versus native Danes was computed using robust Poisson regression to adjust for clinical and socioeconomic characteristics.

RESULTS

In 2019, 34.7% of native Danes received combination therapy, and prevalence was lower in most migrant groups (RR from 0.78, 95% confidence interval CI 0.71-0.85 [Somalia group] to 1.00, 95% CI 0.97-1.04 [former Yugoslavia group]). Among native Danes, the most widely used oral GLD was metformin (used by 62.1%), followed by dipeptidyl peptidase-4 inhibitors (13.3%), sodium-glucose cotransporter-2 inhibitors (11.9%) and sulphonylureas (5.2%), and user prevalence was higher in most migrant groups (RR for use of any oral GLD: 0.99, 95% CI 0.97-1.01 [Europe group] to 1.09, 95% CI 1.06-1.11 [Sri Lanka group]). Furthermore, 18.7% of native Danes used insulins and 13.3% used glucagon-like peptide-1 receptor agonists (GLP-1RAs), but use was less prevalent in migrants (RR for insulins: 0.66, 95% CI 0.62-0.71 [Sri Lanka group] to 0.94, 95% CI 0.89-0.99 [Europe group]; RR for GLP-1RAs: 0.29, 95% CI 0.22-0.39 [Somalia group] to 0.95, 95% CI 0.89-1.01 [Europe group]).

CONCLUSIONS

Disparities in GLD types and combination therapy were evident between migrants and native Danes. Migrants were more likely to use oral GLDs and less likely to use injection-based GLDs, particularly GLP-1RAs, which may contribute to complication risk and mortality among this group.

Reynolds N, R. Barnes M, Hull S, Finer S, Mathur R. Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study using clustering in the UK Clinical Practice Research Datalink

BACKGROUND

The population prevalence of multimorbidity (the existence of at least 2 or more long-term conditions [LTCs] in an individual) is increasing among young adults, particularly in minority ethnic groups and individuals living in socioeconomically deprived areas. In this study, we applied a data-driven approach to identify clusters of individuals who had an early onset multimorbidity in an ethnically and socioeconomically diverse population. We identified associations between clusters and a range of health outcomes.

METHODS AND FINDINGS

Using linked primary and secondary care data from the Clinical Practice Research Datalink GOLD (CPRD GOLD), we conducted a cross-sectional study of 837,869 individuals with early onset multimorbidity (aged between 16 and 39 years old when the second LTC was recorded) registered with an English general practice between 2010 and 2020. The study population included 777,906 people of White ethnicity (93%), 33,915 people of South Asian ethnicity (4%), and 26,048 people of Black African/Caribbean ethnicity (3%). A total of 204 LTCs were considered. Latent class analysis stratified by ethnicity identified 4 clusters of multimorbidity in White groups and 3 clusters in South Asian and Black groups. We found that early onset multimorbidity was more common among South Asian (59%, 33,915) and Black (56% 26,048) groups compared to the White population (42%, 777,906). Latent class analysis revealed physical and mental health conditions that were common across all ethnic groups (i.e., hypertension, depression, and painful conditions). However, each ethnic group also presented exclusive LTCs and different sociodemographic profiles: In White groups, the cluster with the highest rates/odds of the outcomes was predominantly male (54%, 44,150) and more socioeconomically deprived than the cluster with the lowest rates/odds of the outcomes. On the other hand, South Asian and Black groups were more socioeconomically deprived than White groups, with a consistent deprivation gradient across all multimorbidity clusters. At the end of the study, 4% (34,922) of the White early onset multimorbidity population had died compared to 2% of the South Asian and Black early onset multimorbidity populations (535 and 570, respectively); however, the latter groups died younger and lost more years of life. The 3 ethnic groups each displayed a cluster of individuals with increased rates of primary care consultations, hospitalisations, long-term prescribing, and odds of mortality. Study limitations include the exclusion of individuals with missing ethnicity information, the age of diagnosis not reflecting the actual age of onset, and the exclusion of people from Mixed, Chinese, and other ethnic groups due to insufficient power to investigate associations between multimorbidity and health-related outcomes in these groups.

CONCLUSIONS

These findings emphasise the need to identify, prevent, and manage multimorbidity early in the life course. Our work provides additional insights into the excess burden of early onset multimorbidity in those from socioeconomically deprived and diverse groups who are disproportionately and more severely affected by multimorbidity and highlights the need to ensure healthcare improvements are equitable.

Quantifying the impact of taking medicines for primary prevention: a time-trade off study to elicit direct treatment disutility in the UK

BACKGROUND

Direct treatment disutility (DTD) represents an individual's disutility associated with the inconvenience of taking medicine over a long period of time.

OBJECTIVES

The main aim of this study was to elicit DTD values for taking a statin or a bisphosphonate for primary prevention. A secondary aim was to understand factors which influence DTD values.

METHODS

Design: We used a cross-sectional study consisting of time-trade off exercises embedded within online surveys. Respondents were asked to compare a one-off pill ('Medicine A') assumed to have no inconvenience and a daily pill ('Medicine B') over 10 years (statins) or 5 years (bisphosphonates).Setting: Individuals from National Health Service (NHS) primary care and the general population were surveyed using an online panel company.Participants: Two types of participants were recruited. First, a purposive sample of patients with experience of taking a statin (n=260) or bisphosphonate (n=100) were recruited from an NHS sampling frame. Patients needed to be aged over 30, have experience of taking the medicine of interest and have no diagnosis of dementia or of using dementia drugs. Second, a demographically balanced sample of members of the public were recruited for statins (n=376) and bisphosphonates (n=359).Primary and secondary outcome measures: Primary outcome was mean DTD. Regression analysis explored factors which could influence DTD values.

RESULTS

A total of 879 respondents were included for analysis (514 for statins and 365 for bisphosphonates). The majority of respondents reported a disutility associated with medicine use. Mean DTD for statins was 0.034 and for bisphosphonates 0.067, respectively. Respondent characteristics including age and sex did not influence DTD. Experience of bisphosphonate-use reduced reported disutilities.

CONCLUSIONS

Statins and bisphosphonates have a quantifiable DTD. The size of estimated disutilities suggest they are likely to be important for cost-effectiveness, particularly in individuals at low-risk when treated for primary prevention.

Demographic Variables Associated With Diabetes Technology Awareness or Use in Adults With Type 2 Diabetes

Background

Studies in populations with type 1 diabetes highlight racial/ethnic disparities in the use of diabetes technology; however, little is known about disparities among those with type 2 diabetes. This project investigates the racial/ethnic and socioeconomic disparities in diabetes technology awareness and use in adults with type 2 diabetes in the ambulatory setting.

Methods

Adults ≥40 years of age with type 2 diabetes in ambulatory care were invited to participate via an e-mail link to a de-identified REDCap (Research Electronic Data Capture) questionnaire. Variables, including awareness and use of continuous glucose monitoring (CGM) and insulin pumps, were summarized descriptively using frequencies and percentages and were compared across racial/ethnic groups, education level, and income using Pearson χ2 or Fisher exact tests.

Results

The study included 116 participants, most of whom (62%) were White, elderly Medicare recipients. Compared with White participants, those of racially/ethnically minoritized groups were less likely to be aware of CGM (P = 0.013) or insulin pumps (P = 0.001). Participants with a high school education or less were also less likely to be aware of insulin pumps (P = 0.041). Interestingly, neither awareness nor use of CGM or insulin pumps was found to be associated with income.

Conclusion

This cross-sectional analysis suggests that racially/ethnically minoritized groups and individuals with lower education have less awareness of CGM or insulin pumps.

Advances in the management of type 2 diabetes in adults

Type 2 diabetes is a chronic and progressive cardiometabolic disorder that affects more than 10% of adults worldwide and is a major cause of morbidity, mortality, disability, and high costs. Over the past decade, the pattern of management of diabetes has shifted from a predominantly glucose centric approach, focused on lowering levels of haemoglobin A1c (HbA1c), to a directed complications centric approach, aimed at preventing short term and long term complications of diabetes, and a pathogenesis centric approach, which looks at the underlying metabolic dysfunction of excess adiposity that both causes and complicates the management of diabetes. In this review, we discuss the latest advances in patient centred care for type 2 diabetes, focusing on drug and non-drug approaches to reducing the risks of complications of diabetes in adults. We also discuss the effects of social determinants of health on the management of diabetes, particularly as they affect the treatment of hyperglycaemia in type 2 diabetes.

Therapeutic Inertia and Delays in Insulin Intensification in Type 2 Diabetes: A Literature Review

Background

Therapeutic inertia leading to delays in insulin initiation or intensification is a major contributor to lack of optimal diabetes care. This report reviews the literature summarizing data on therapeutic inertia and delays in insulin intensification in the management of type 2 diabetes.

Methods

A literature search was conducted of the Allied & Complementary Medicine, BIOSIS Previews, Embase, EMCare, International Pharmaceutical Abstracts, MEDLINE, and ToxFile databases for clinical studies, observational research, and meta-analyses from 2012 to 2022 using search terms for type 2 diabetes and delay in initiating/intensifying insulin. Twenty-two studies met inclusion criteria.

Results

Time until insulin initiation among patients on two to three antihyperglycemic agents was at least 5 years, and mean A1C ranged from 8.7 to 9.8%. Early insulin intensification was linked with reduced A1C by 1.4%, reduction of severe hypoglycemic events from 4 to <1 per 100 person-years, and diminution in risk of heart failure (HF) by 18%, myocardial infarction (MI) by 23%, and stroke by 28%. In contrast, delayed insulin intensification was associated with increased risk of HF (64%), MI (67%), and stroke (51%) and a higher incidence of diabetic retinopathy. In the views of both patients and providers, hypoglycemia was identified as a primary driver of therapeutic inertia; 75.5% of physicians reported that they would treat more aggressively if not for concerns about hypoglycemia.

Conclusion

Long delays before insulin initiation and intensification in clinically eligible patients are largely driven by concerns over hypoglycemia. New diabetes technology that provides continuous glucose monitoring may reduce occurrences of hypoglycemia and help overcome therapeutic inertia associated with insulin initiation and intensification.

Novel intervention to promote COVID-19 protective behaviours among Black and South Asian communities in the UK: protocol for a mixed-methods pilot evaluation

INTRODUCTION

Culturally appropriate interventions to promote COVID-19 health protective measures among Black and South Asian communities in the UK are needed. We aim to carry out a preliminary evaluation of an intervention to reduce risk of COVID-19 comprising a short film and electronic leaflet.

METHODS AND ANALYSIS

This mixed methods study comprises (1) a focus group to understand how people from the relevant communities interpret and understand the intervention's messages, (2) a before-and-after questionnaire study examining the extent to which the intervention changes intentions and confidence to carry out COVID-19 protective behaviours and (3) a further qualitative study exploring the views of Black and South Asian people of the intervention and the experiences of health professionals offering the intervention. Participants will be recruited through general practices. Data collection will be carried out in the community.

ETHICS AND DISSEMINATION

The study received Health Research Authority approval in June 2021 (Research Ethics Committee Reference 21/LO/0452). All participants provided informed consent. As well as publishing the findings in peer-reviewed journals, we will disseminate the findings through the UK Health Security Agency, NHS England and the Office for Health Improvement and Disparities and ensure culturally appropriate messaging for participants and other members of the target groups.

HbA1c screening for diabetes mellitus and to evaluate diabetic control in people of African ancestry with HIV in South London

We evaluated glycaemic status in 948 Black adults with HIV and report a high prevalence of dysglycaemia (37.2%). HbA1c testing identified 38 (4.0%) individuals not previously known to have diabetes mellitus (DM) and showed suboptimal or poor glycaemic control in more than half of those with a prior DM diagnosis despite high levels of HIV control.

Racial and Ethnic Differences in Medication Initiation Among Adults Newly Diagnosed with Type 2 Diabetes

OBJECTIVE

Given persistent racial/ethnic differences in type 2 diabetes outcomes and the lasting benefits conferred by early glycemic control, we examined racial/ethnic differences in diabetes medication initiation during the year following diagnosis.

METHODS

Among adults newly diagnosed with type 2 diabetes (2005-2016), we examined how glucose-lowering medication initiation differed by race/ethnicity during the year following diagnosis. We specified modified Poisson regression models to estimate the association between race/ethnicity and medication initiation in the entire cohort and within subpopulations defined by HbA1c, BMI, age at diagnosis, comorbidity, and neighborhood deprivation index (a census tract-level socioeconomic indicator).

RESULTS

Among the 77,199 newly diagnosed individuals, 47% started a diabetes medication within 12 months of diagnosis. The prevalence of medication initiation ranged from 32% among Chinese individuals to 58% among individuals of Other/Unknown races/ethnicities. Compared to White individuals, medication initiation was less likely among Chinese (relative risk: 0.78 (95% confidence interval 0.72, 0.84)) and Japanese (0.82 (0.75, 0.90)) individuals, but was more likely among Hispanic/Latinx (1.27 (1.24, 1.30)), African American (1.14 (1.11, 1.17)), other Asian (1.13 (1.08, 1.18)), South Asian (1.10 (1.04, 1.17)), Other/Unknown (1.31 (1.24, 1.39)), American Indian or Alaska Native (1.11 (1.04, 1.18)), and Native Hawaiian/Pacific Islander (1.28 (1.19, 1.37)) individuals. Racial/ethnic differences dissipated among individuals with higher HbA1c values.

CONCLUSIONS

Initiation of glucose-lowering treatment during the year following type 2 diabetes diagnosis differed markedly by race/ethnicity, particularly for those with lower HbA1c values. Future research should examine how patient preferences, provider implicit bias, and shared decision-making contribute to these early treatment differences.

Impact of limited English proficiency on the control of diabetes and associated cardiovascular risk factors. The National Health and Nutrition Examination Survey, 2003-2018

Language barriers pose a challenge to managing health conditions for various personal, interpersonal, and structural reasons. This study estimates the impact of limited English proficiency (LEP) on diabetes mellitus control and associated cardiovascular risk factors in a large representative sample of United States adults. Cross-sectional data from the National Health and Nutrition Examination Survey (NHANES, 2003-18) was used to estimate the impact of language proficiency on glycemic control (glycated hemoglobin [HbA1c]) and cardiovascular risk status (blood pressure [BP] and low-density lipoprotein [LDL]) in adult participants with known diabetes disease. The analysis included descriptive statistics and generalized linear models to adjust for sociodemographic characteristics. The study sample included 5017 participants with self-reported, physician-diagnosed diabetes mellitus. Most participants completed NHANES interview in English (90.8%), whereas some participants completed the interview in Spanish (LEP-Spanish; 6.6%) or requested an interpreter (LEP-interpreter; 2.6%). Compared to English-speaking participants, LEP-interpreter participants were more likely to have HbA1c ≥ 7% (OR = 1.6, 95% CI = 1.1, 2.4) or a combination of HbA1c ≥ 7%, LDL ≥ 2.6 mmol/L, and BP ≥ 130/80 mmHg (OR = 3.1; 95% CI = 1.2, 8.2). We observed no differences in the odds of diabetes control. between English-speaking and LEP-Spanish participants, whereas LEP-interpreter participants had worse diabetes control, possibly owing to the greater likelihood of patient-provider language discordance for non-English non-Spanish-speaking patients. Given that many patients, yet few providers, speak languages other than English or Spanish, innovative ways are needed to facilitate patient-provider communications (e.g., digital communication assistance tools).

Ethnic inequalities in multiple long-term health conditions in the United Kingdom: a systematic review and narrative synthesis

Indicative evidence suggests that minoritised ethnic groups have higher risk of developing multiple long-term conditions (MLTCs), and do so earlier than the majority white population. While there is evidence on ethnic inequalities in single health conditions and comorbidities, no review has attempted to look across these from a MLTCs perspective. As such, we currently have an incomplete understanding of the extent of ethnic inequalities in the prevalence of MLTCs. Further, concerns have been raised about variations in the way ethnicity is operationalised and how this impedes our understanding of health inequalities. In this systematic review we aimed to 1) describe the literature that provides evidence of ethnicity and prevalence of MLTCs amongst people living in the UK, 2) summarise the prevalence estimates of MLTCs across ethnic groups and 3) to assess the ways in which ethnicity is conceptualised and operationalised. We focus on the state of the evidence prior to, and during the very early stages of the pandemic. We registered the protocol on PROSPERO (CRD42020218061). Between October and December 2020, we searched ASSIA, Cochrane Library, EMBASE, MEDLINE, PsycINFO, PubMed, ScienceDirect, Scopus, Web of Science, OpenGrey, and reference lists of key studies/reviews. The main outcome was prevalence estimates for MLTCs for at least one minoritised ethnic group, compared to the majority white population. We included studies conducted in the UK reporting on ethnicity and prevalence of MLTCs. To summarise the prevalence estimates of MLTCs across ethnic groups we included only studies of MLTCs that provided estimates adjusted at least for age. Two reviewers screened and extracted data from a random sample of studies (10%). Data were synthesised using narrative synthesis. Of the 7949 studies identified, 84 met criteria for inclusion. Of these, seven contributed to the evidence of ethnic inequalities in MLTCs. Five of the seven studies point to higher prevalence of MLTCs in at least one minoritised ethnic group compared to their white counterparts. Because the number/types of health conditions varied between studies and some ethnic populations were aggregated or omitted, the findings may not accurately reflect the true level of ethnic inequality. Future research should consider key explanatory factors, including those at the macrolevel (e.g. racism, discrimination), as they may play a role in the development and severity of MLTCs in different ethnic groups. Research is also needed to ascertain the extent to which the COVID19 pandemic has exacerbated these inequalities.

Precision Medicine in Diabetes

Tailoring treatment or management to groups of individuals based on specific clinical, molecular, and genomic features is the concept of precision medicine. Diabetes is highly heterogenous with respect to clinical manifestations, disease progression, development of complications, and drug response. The current practice for drug treatment is largely based on evidence from clinical trials that report average effects. However, around half of patients with type 2 diabetes do not achieve glycaemic targets despite having a high level of adherence and there are substantial differences in the incidence of adverse outcomes. Therefore, there is a need to identify predictive markers that can inform differential drug responses at the point of prescribing. Recent advances in molecular genetics and increased availability of real-world and randomised trial data have started to increase our understanding of disease heterogeneity and its impact on potential treatments for specific groups. Leveraging information from simple clinical features (age, sex, BMI, ethnicity, and co-prescribed medications) and genomic markers has a potential to identify sub-groups who are likely to benefit from a given drug with minimal adverse effects. In this chapter, we will discuss the state of current evidence in the discovery of clinical and genetic markers that have the potential to optimise drug treatment in type 2 diabetes.

[Diabetes and migration (update 2023)]

The practice recommendation is intended to supplement the existing guidelines on diabetes mellitus and provides practical recommendations for the diagnosis, therapy and care of people with diabetes mellitus who come from different linguistic and cultural back-grounds. The article deals with the demographic datas of migration in Austria and Germany; with therapeutic advice concerning drug therapy and diabetes education for patients with migration background. In this context socio-cultural spezifics are discussed. These suggestions are seen complementary to the general treatment guidelines of the Austrian Diabetes Society and German Diabetes Society. Especially for the fast months Ramadan thera are a lot of informations. The most important point is that the patient care must highly individualized and the management plan may differ for each patient.

Ethnic and socioeconomic disparities in initiation of second-line antidiabetic treatment for people with type 2 diabetes in England: A cross-sectional study

AIMS

To assess any disparities in the initiation of second-line antidiabetic treatments prescribed among people with type 2 diabetes mellitus (T2DM) in England according to ethnicity and social deprivation level.

MATERIALS AND METHODS

This cross-sectional study used linked primary (Clinical Practice Research Datalink) and secondary care data (Hospital Episode Statistics), and the Index of Multiple Deprivation (IMD). We included people aged 18 years or older with T2DM who intensified to second-line oral antidiabetic medication between 2014 and 2020 to investigate disparities in second-line antidiabetic treatment prescribing (one of sulphonylureas [SUs], dipeptidyl peptidase-4 [DPP-4] inhibitors, or sodium-glucose cotransporter-2 [SGLT2] inhibitors, in combination with metformin) by ethnicity (White, South Asian, Black, mixed/other) and deprivation level (IMD quintiles). We report prescriptions of the alternative treatments by ethnicity and deprivation level according to predicted percentages derived from multivariable, multinomial logistic regression.

RESULTS

Among 36 023 people, 85% were White, 10% South Asian, 4% Black and 1% mixed/other. After adjustment, the predicted percentages for SGLT2 inhibitor prescribing by ethnicity were 21% (95% confidence interval [CI] 19-23%), 20% (95% CI 18-22%), 19% (95% CI 16-22%) and 17% (95% CI 14-21%) among people with White, South Asian, Black, and mixed/other ethnicity, respectively. After adjustment, the predicted percentages for SGLT2 inhibitor prescribing by deprivation were 22% (95% CI 20-25%) and 19% (95% CI 17-21%) for the least deprived and the most deprived quintile, respectively. When stratifying by prevalent cardiovascular disease (CVD) status, we found lower predicted percentages of people with prevalent CVD prescribed SGLT2 inhibitors compared with people without prevalent CVD across all ethnicity groups and all levels of social deprivation.

CONCLUSIONS

Among people with T2DM, there were no substantial differences by ethnicity or deprivation level in the percentage prescribed either SGLT2 inhibitors, DPP-4 inhibitors or SUs as second-line antidiabetic treatment.

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.

Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales

BACKGROUND

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a prothrombotic state, but long-term effects of COVID-19 on incidence of vascular diseases are unclear.

METHODS

We studied vascular diseases after COVID-19 diagnosis in population-wide anonymized linked English and Welsh electronic health records from January 1 to December 7, 2020. We estimated adjusted hazard ratios comparing the incidence of arterial thromboses and venous thromboembolic events (VTEs) after diagnosis of COVID-19 with the incidence in people without a COVID-19 diagnosis. We conducted subgroup analyses by COVID-19 severity, demographic characteristics, and previous history.

RESULTS

Among 48 million adults, 125 985 were hospitalized and 1 319 789 were not hospitalized within 28 days of COVID-19 diagnosis. In England, there were 260 279 first arterial thromboses and 59 421 first VTEs during 41.6 million person-years of follow-up. Adjusted hazard ratios for first arterial thrombosis after COVID-19 diagnosis compared with no COVID-19 diagnosis declined from 21.7 (95% CI, 21.0-22.4) in week 1 after COVID-19 diagnosis to 1.34 (95% CI, 1.21-1.48) during weeks 27 to 49. Adjusted hazard ratios for first VTE after COVID-19 diagnosis declined from 33.2 (95% CI, 31.3-35.2) in week 1 to 1.80 (95% CI, 1.50-2.17) during weeks 27 to 49. Adjusted hazard ratios were higher, for longer after diagnosis, after hospitalized versus nonhospitalized COVID-19, among Black or Asian versus White people, and among people without versus with a previous event. The estimated whole-population increases in risk of arterial thromboses and VTEs 49 weeks after COVID-19 diagnosis were 0.5% and 0.25%, respectively, corresponding to 7200 and 3500 additional events, respectively, after 1.4 million COVID-19 diagnoses.

CONCLUSIONS

High relative incidence of vascular events soon after COVID-19 diagnosis declines more rapidly for arterial thromboses than VTEs. However, incidence remains elevated up to 49 weeks after COVID-19 diagnosis. These results support policies to prevent severe COVID-19 by means of COVID-19 vaccines, early review after discharge, risk factor control, and use of secondary preventive agents in high-risk patients.

Associations between multiple long-term conditions and mortality in diverse ethnic groups

Background

Multiple conditions are more prevalent in some minoritised ethnic groups and are associated with higher mortality rate but studies examining differential mortality once conditions are established is US-based. Our study tested whether the association between multiple conditions and mortality varies across ethnic groups in England.

Methods and findings

A random sample of primary care patients from Clinical Practice Research Datalink (CPRD) was followed from 1^st January 2015 until 31^st December 2019. Ethnicity, usually self-ascribed, was obtained from primary care records if present or from hospital records. Long-term conditions were counted from a list of 32 that have previously been associated with greater primary care, hospital admissions, or mortality risk. Cox regression models were used to estimate mortality by count of conditions, ethnicity and their interaction, with adjustment for age and sex for 532,059 patients with complete data. During five years of follow-up, 5.9% of patients died. Each additional condition at baseline was associated with increased mortality. The direction of the interaction of number of conditions with ethnicity showed a statistically higher mortality rate associated with long-term conditions in Pakistani, Black African, Black Caribbean and Other Black ethnic groups. In ethnicity-stratified models, the mortality rate per additional condition at age 50 was 1.33 (95% CI 1.31,1.35) for White ethnicity, 1.43 (95% CI 1.26,1.61) for Black Caribbean ethnicity and 1.78 (95% CI 1.41,2.24) for Other Black ethnicity.

Conclusions

The higher mortality rate associated with having multiple conditions is greater in minoritised compared with White ethnic groups. Research is now needed to identify factors that contribute to these inequalities. Within the health care setting, there may be opportunities to target clinical and self-management support for people with multiple conditions from minoritised ethnic groups.

Persistent Cardiometabolic Health Gaps: Can Therapeutic Care Gaps Be Precisely Identified from Electronic Health Records

The objective of this study was to determine the strengths and limitations of using structured electronic health records (EHR) to identify and manage cardiometabolic (CM) health gaps. We used medication adherence measures derived from dispense data to attribute related therapeutic care gaps (i.e., no action to close health gaps) to patient- (i.e., failure to retrieve medication or low adherence) or clinician-related (i.e., failure to initiate/titrate medication) behavior. We illustrated how such data can be used to manage health and care gaps for blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), and HbA1c for 240,582 Sutter Health primary care patients. Prevalence of health gaps was 44% for patients with hypertension, 33% with hyperlipidemia, and 57% with diabetes. Failure to retrieve medication was common; this patient-related care gap was highly associated with health gaps (odds ratios (OR): 1.23-1.76). Clinician-related therapeutic care gaps were common (16% for hypertension, and 40% and 27% for hyperlipidemia and diabetes, respectively), and strongly related to health gaps for hyperlipidemia (OR = 5.8; 95% CI: 5.6-6.0) and diabetes (OR = 5.7; 95% CI: 5.4-6.0). Additionally, a substantial minority of care gaps (9% to 21%) were uncertain, meaning we lacked evidence to attribute the gap to either patients or clinicians, hindering efforts to close the gaps.

The impact of race and socioeconomic factors on paediatric diabetes

There are over 29,000 children and young people (CYP) with Type 1 diabetes mellitus (T1DM) in England and Wales and another 726 with Type 2 diabetes mellitus (T2DM). There is little effect of deprivation on the prevalence of T1DM whereas the association of deprivation on the percentage of CYP with T2DM is striking with 45% of cases drawn from the most deprived backgrounds. A number that has not changed over the last 4 years. Data from the UK and USA as well as other countries demonstrate the impact of deprivation on outcomes in diabetes mellitus with clear effects on measures of long-term control and complications. In the UK black CYP had higher glycosylated haemoglobin (HbA1c) values compared to other groups. Within the black group, CYP from a Caribbean background had a higher mean HbA1c (77.0 mmol/mol (9.2%)) than those from Africa (70.4 mmol/mol (8.6%)). Treatment regimen (multiple daily injections or insulin pump therapy) explained the largest proportion of the variability in HbA1c followed by deprivation. Those in the least deprived areas had an average HbA1c 5.88 mmol/mol (0.5%) lower than those living in the most deprived areas. The picture is complex as UK data also show that deprivation and ethnicity is associated with less use of technology that is likely to improve diabetes control. Increased usage of pump therapy and continuous glucose monitoring was associated with a younger age of patient (less than 10 years of age), living in the least deprived areas and white ethnicity. This gap between pump usage amongst CYP with T1DM living in the most and least deprived areas has widened with time. In 2014/15 the gap was 7.9% and by 2018/19 had increased to 13.5%. To attain an equitable service for CYP with diabetes mellitus we need to consider interventions at the patient, health care professional, community, and health care system levels.

Ethnic, social and multimorbidity disparities in therapeutic inertia: A UK primary care observational study in patients newly diagnosed with type 2 diabetes

AIM

To investigate factors associated with delays in receiving glucose-lowering therapy in patients newly diagnosed with type 2 diabetes mellitus (T2DM), and explore the preferential order and time of intensifications.

MATERIALS AND METHODS

Retrospective cohort study including 120 409 adults with T2DM initiating first- to fourth-line glucose-lowering therapy in primary care between 2000 and 2018, using the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics, Office of National Statistics death registration, and 2007 Index of Multiple Deprivation data. Associations were investigated using time-to-event analysis.

RESULTS

The longest delays to prescription of first-line therapy were observed in older patients, of black or other ethnicities, and with multimorbidity. People from the most deprived areas received earlier first-line treatment than those from the least deprived areas. The majority were treated with metformin (82.4%) as the first-line prescription, sulphonylurea (50.4%) as second-line, dipeptidyl peptidase-4 inhibitor (27.7%) as third-line, and insulin (28.0%) as fourth-line. In the past 5 years, there was an increase in prescriptions of dipeptidyl peptidase-4-inhibitor and sodium-glucose transport protein-2 inhibitor. The median time was 0.5 years for first-line prescription, 4.1 for second-line, 4.6 for third-line and 4.7 for fourth-line. After T2DM diagnosis, 25% of patients developed cardiovascular disease and non-cardiovascular disease complications within a median time of 12-14 years, and received intensification 5-6 years later.

CONCLUSIONS

Within the complex challenges of managing blood glucose levels and risk of additional comorbidities, future health care research and guidelines should focus on overcoming therapeutic inertia particularly at an earlier stage for older patients, from ethnic minorities and with multimorbidities.

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA1c in type 2 diabetes in norwegian general practice

AIMS

To identify individual and general practitioner (GP) characteristics associated with potential over- and undertreatment of hyperglycaemia in type 2 diabetes and with HbA1c not being measured.

METHODS

A cross-sectional study that included 10233 individuals with type 2 diabetes attending 282 GPs. Individuals with an HbA1c measurement during the last 15 months were categorized as potentially overtreated if they were prescribed a sulphonylurea and/or insulin when the HbA1c was less than 53 mmol/mol (7%) when aged over 75 years or less than 48 mmol/mol (6.5%) when aged between 65 and 75 years. Potential undertreatment was defined as age less than 60 years and HbA1c > 64 mmol/mol (8.0%) or HbA1c > 69 mmol/mol (8.5%) and treated with lifestyle modification and/or monotherapy. We used multilevel binary and multinominal logistic regression models to examine associations.

RESULTS

Overall, 4.1% were potentially overtreated, 7.8% were potentially undertreated and 11% did not have HbA1c measured. Characteristics associated with potential overtreatment were as follows: long diabetes duration, prescribed antihypertensive medication, cardiovascular disease and renal failure. Potential undertreatment was associated with male gender, non-western origin and low educational level. Characteristics associated with not having an HbA1c measurement performed were male gender, age < 50 years and cardiovascular diseases. GP specialist status and GPs' use of a Noklus diabetes application reduced the risk of not having an HbA1c measurement performed.

CONCLUSION

Potential overtreatment in elderly individuals with type 2 diabetes was relatively low. Nevertheless, appropriate de-intensification or intensification of treatment and regular HbA1c measurement in identified subgroups is warranted.

The Role of Finding Out in Type 2 Diabetes Management among West-African Immigrants Living in the UK

Type 2 diabetes (T2DM) prevalence is three times higher among West African Immigrants compared to the general population in the UK. The challenges of managing T2DM among this group have resulted in complications. Reports have highlighted the impact of migration on the health of the immigrant population, and this has contributed to the need to understand the influence of living in West Africa, and getting diagnosed with T2DM, in the management of their condition in the UK. Using a qualitative constructivist grounded theory approach, thirty-four West African immigrants living in the UK were recruited for this study. All participants were interviewed using Semi-structured interviews. After coding transcripts, concepts emerged including noticing symptoms, delayed diagnosis, affordability of health services, beliefs about health, feelings at diagnosis, and emotions experienced at diagnosis all contribute to finding out about diagnosis T2DM. These factors were linked to living in West Africa, among participants, and played significant roles in managing T2DM in the UK. These concepts were discussed under finding out as the overarching concept. Findings from this study highlight important aspects of T2DM diagnosis and how lived experiences, of living in West Africa and the UK, contribute to managing T2DM among West African immigrants. The findings of this study can be valuable for healthcare services supporting West African immigrants living in the UK.

From the Association of Diabetes Care & Education Specialists: The Role of the Diabetes Care and Education Specialist as a Champion of Technology Integration

It is the position of the Association of Diabetes Care & Education Specialists that diabetes care and education specialists should play a central role in establishing and maintaining technology-enabled care in a variety of practice settings to optimize outcomes for people with diabetes and cardiometabolic conditions. The objectives of this position statement are to outline the role of diabetes care and education specialists as leaders in technology integration and to describe the resources and guidance the Association has developed to facilitate success in this role.

Smart city lifestyle sensing, big data, geo-analytics and intelligence for smarter public health decision-making in overweight, obesity and type 2 diabetes prevention: the research we should be doing

The public health burden caused by overweight, obesity (OO) and type-2 diabetes (T2D) is very significant and continues to rise worldwide. The causation of OO and T2D is complex and highly multifactorial rather than a mere energy intake (food) and expenditure (exercise) imbalance. But previous research into food and physical activity (PA) neighbourhood environments has mainly focused on associating body mass index (BMI) with proximity to stores selling fresh fruits and vegetables or fast food restaurants and takeaways, or with neighbourhood walkability factors and access to green spaces or public gym facilities, making largely naive, crude and inconsistent assumptions and conclusions that are far from the spirit of 'precision and accuracy public health'. Different people and population groups respond differently to the same food and PA environments, due to a myriad of unique individual and population group factors (genetic/epigenetic, metabolic, dietary and lifestyle habits, health literacy profiles, screen viewing times, stress levels, sleep patterns, environmental air and noise pollution levels, etc.) and their complex interplays with each other and with local food and PA settings. Furthermore, the same food store or fast food outlet can often sell or serve both healthy and non-healthy options/portions, so a simple binary classification into 'good' or 'bad' store/outlet should be avoided. Moreover, appropriate physical exercise, whilst essential for good health and disease prevention, is not very effective for weight maintenance or loss (especially when solely relied upon), and cannot offset the effects of a bad diet. The research we should be doing in the third decade of the twenty-first century should use a systems thinking approach, helped by recent advances in sensors, big data and related technologies, to investigate and consider all these factors in our quest to design better targeted and more effective public health interventions for OO and T2D control and prevention.