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      Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis

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          Abstract

          Background

          Disparities in type 2 diabetes (T2D) care provision and clinical outcomes have been reported in the last 2 decades in the UK. Since then, a number of initiatives have attempted to address this imbalance. The aim was to evaluate contemporary data as to whether disparities exist in glycaemic control, monitoring, and prescribing in people with T2D.

          Methods and findings

          A T2D cohort was identified from the Royal College of General Practitioners Research and Surveillance Centre dataset: a nationally representative sample of 164 primary care practices (general practices) across England. Diabetes healthcare provision and glucose-lowering medication use between 1 January 2012 and 31 December 2016 were studied. Healthcare provision included annual HbA1c, renal function (estimated glomerular filtration rate [eGFR]), blood pressure (BP), retinopathy, and neuropathy testing. Variables potentially associated with disparity outcomes were assessed using mixed effects logistic and linear regression, adjusted for age, sex, ethnicity, and socioeconomic status (SES) using the Index of Multiple Deprivation (IMD), and nested using random effects within general practices. Ethnicity was defined using the Office for National Statistics ethnicity categories: White, Mixed, Asian, Black, and Other (including Arab people and other groups not classified elsewhere). From the primary care adult population ( n = 1,238,909), we identified a cohort of 84,452 (5.29%) adults with T2D. The mean age of people with T2D in the included cohort at 31 December 2016 was 68.7 ± 12.6 years; 21,656 (43.9%) were female. The mean body mass index was 30.7 ± SD 6.4 kg/m 2. The most deprived groups (IMD quintiles 1 and 2) showed poorer HbA1c than the least deprived (IMD quintile 5). People of Black ethnicity had worse HbA1c than those of White ethnicity. Asian individuals were less likely than White individuals to be prescribed insulin (odds ratio [OR] 0.86, 95% CI 0.79–0.95; p < 0.01), sodium-glucose cotransporter-2 (SGLT2) inhibitors (OR 0.68, 95% CI 0.58–0.79; p < 0.001), and glucagon-like peptide-1 (GLP-1) agonists (OR 0.37, 95% CI 0.31–0.44; p < 0.001). Black individuals were less likely than White individuals to be prescribed SGLT2 inhibitors (OR 0.50, 95% CI 0.39–0.65; p < 0.001) and GLP-1 agonists (OR 0.45, 95% CI 0.35–0.57; p < 0.001). Individuals in IMD quintile 5 were more likely than those in the other IMD quintiles to have annual testing for HbA1c, BP, eGFR, retinopathy, and neuropathy. Black individuals were less likely than White individuals to have annual testing for HbA1c (OR 0.89, 95% CI 0.79–0.99; p = 0.04) and retinopathy (OR 0.82, 95% CI 0.70–0.96; p = 0.011). Asian individuals were more likely than White individuals to have monitoring for HbA1c (OR 1.10, 95% CI 1.01–1.20; p = 0.023) and eGFR (OR 1.09, 95% CI 1.00–1.19; p = 0.048), but less likely for retinopathy (OR 0.88, 95% CI 0.79–0.97; p = 0.01) and neuropathy (OR 0.88, 95% CI 0.80–0.97; p = 0.01). The study is limited by the nature of being observational and defined using retrospectively collected data. Disparities in diabetes care may show regional variation, which was not part of this evaluation.

          Conclusions

          Our findings suggest that disparity in glycaemic control, diabetes-related monitoring, and prescription of newer therapies remains a challenge in diabetes care. Both SES and ethnicity were important determinants of inequality. Disparities in glycaemic control and other areas of care may lead to higher rates of complications and adverse outcomes for some groups.

          Abstract

          Martin Brunel Whyte and colleagues reveal disparities in diabetes monitoring and treatment for patients of different ethnicites in England.

          Author summary

          Why was this study done?
          • There are few studies of ethnic disparities in diabetes care conducted in healthcare systems free at the point of delivery and with adjustment for socioeconomic status. These have generally shown overall improvement in diabetes management and outcomes over time, but with persistent imbalance between population groups.

          • A number of initiatives have attempted to redress disparity of care in diabetes management in the UK over the last decade.

          What did the researchers do and find?
          • We set out to determine whether there are healthcare disparities (inequalities between the sexes or across socioeconomic and ethnic groups) in the care of people with type 2 diabetes.

          • We analysed routinely collected data from a network of primary care practices in England for measures of clinical outcomes, prescribing, and care processes for individuals with type 2 diabetes.

          • Our study provides up-to-date information on care processes and metabolic outcomes for type 2 diabetes mellitus.

          • We found disparities in glycaemic control, disease monitoring, and prescribing between ethnicities and socioeconomic groups, and a weak difference between the sexes.

          What do these findings mean?
          • The commissioning of diabetes services must continue with the ambition to reduce inequalities and thereby improve population health for individuals with type 2 diabetes.

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          Most cited references31

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          Explaining trends in inequities: evidence from Brazilian child health studies.

          There is considerable international concern that child-health inequities seem to be getting worse between and within richer and poorer countries. The "inverse equity hypothesis" is proposed to explain how such health inequities may get worse, remain the same, or improve over time. We postulate that as new public-health interventions and programmes initially reach those of higher socioeconomic status and only later affect the poor, there are early increases in inequity ratios for coverage, morbidity, and mortality indicators. Inequities only improve later when the rich have achieved new minimum achievable levels for morbidity and mortality and the poor gain greater access to the interventions. The hypothesis was examined using three epidemiological data sets for time trends in child-health inequities within Brazil. Time trends for inequity ratios for morbidity and mortality, which were consistent with the hypothesis, showed both improvements and deterioration over time, despite the indicators showing absolute improvements in health status between rich and poor.
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            Effect of financial incentives on inequalities in the delivery of primary clinical care in England: analysis of clinical activity indicators for the quality and outcomes framework.

            The quality and outcomes framework is a financial incentive scheme that remunerates general practices in the UK for their performance against a set of quality indicators. Incentive schemes can increase inequalities in the delivery of care if practices in affluent areas are more able to respond to the incentives than are those in deprived areas. We examined the relation between socioeconomic inequalities and delivered quality of clinical care in the first 3 years of this scheme. We analysed data extracted automatically from clinical computing systems for 7637 general practices in England, data from the UK census, and data for characteristics of practices and patients from the 2006 general medical statistics database. Practices were grouped into equal-sized quintiles on the basis of area deprivation in their locality. We calculated overall levels of achievement, defined as the proportion of patients who were deemed eligible by the practices for whom the targets were achieved, for 48 clinical activity indicators during the first 3 years of the incentive scheme (from 2004-05 to 2006-07). Median overall reported achievement was 85.1% (IQR 79.0-89.1) in year 1, 89.3% (86.0-91.5) in year 2, and 90.8% (88.5-92.6) in year 3. In year 1, area deprivation was associated with lower levels of achievement, with median achievement ranging from 86.8% (82.2-89.6) for quintile 1 (least deprived) to 82.8% (75.2-87.8) for quintile 5 (most deprived). Between years 1 and 3, median achievement increased by 4.4% for quintile 1 and by 7.6% for quintile 5, and the gap in median achievement narrowed from 4.0% to 0.8% during this period. Increase in achievement during this time was inversely associated with practice performance in previous years (p<0.0001), but was not associated with area deprivation (p=0.062). Our results suggest that financial incentive schemes have the potential to make a substantial contribution to the reduction of inequalities in the delivery of clinical care related to area deprivation.
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              Ethnic Variations in the Prevalence of Diabetic Retinopathy in People with Diabetes Attending Screening in the United Kingdom (DRIVE UK)

              Aims To compare the prevalence of diabetic retinopathy (DR) in people of various ethnic groups with diabetes in the United Kingdom (UK). Methods The Diabetic Retinopathy In Various Ethnic groups in UK (DRIVE UK) Study is a cross-sectional study on the ethnic variations of the prevalence of DR and visual impairment in two multi-racial cohorts in the UK. People on the diabetes register in West Yorkshire and South East London who were screened, treated or monitored between April 2008 to July 2009 (London) or August 2009 (West Yorkshire) were included in the study. Data included age, sex, ethnic group, type of diabetes, presenting visual acuity and the results of grading of diabetic retinopathy. Prevalence estimates for the ethnic groups were age-standardised to the white European population for comparison purposes. Results Out of 57,144 people on the two diabetic registers, data were available on 50,285 individuals (88.0%), of these 3,323 had type 1 and 46,962 had type 2 diabetes. In type 2 diabetes, the prevalence of any DR was 38.0% (95% confidence interval(CI) 37.4% to 38.5%) in white Europeans compared to 52.4% (51.2% to 53.6%) in African/Afro-Caribbeans and 42.3% (40.3% to 44.2%) in South Asians. Similarly, sight threatening DR was also significantly more prevalent in Afro-Caribbeans (11.5%, 95% CI 10.7% to 12.3%) and South Asians (10.3%, 9.0% to 11.5%) compared to white Europeans (5.5%, 5.3% to 5.8%). Differences observed in Type 1 diabetes did not achieve conventional levels of statistical significance, but there were lower numbers for these analyses. Conclusions Minority ethnic communities with type 2 diabetes in the UK are more prone to diabetic retinopathy, including sight-threatening retinopathy and maculopathy compared to white Europeans.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Supervision
                Role: Data curationRole: Project administration
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                7 October 2019
                October 2019
                : 16
                : 10
                : e1002942
                Affiliations
                [1 ] Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
                [2 ] Eli Lilly, Basingstoke, United Kingdom
                University of Manchester, UNITED KINGDOM
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: MBW has received grant funding from Sanofi (Establishing the impact of the national VTE prevention programme on post-operative VTE rates in England - OTH-2018-12016), Eli Lilly (Insights Project 2015) and speaker fees from AstraZeneca and MSD. AMcG has received research funding from Eli Lilly, AstraZeneca, and Pfizer. WH has had his academic salary funded from grant awards with Eli Lilly, Novo Nordisk Limited, and AstraZeneca UK Ltd. NM has received fees for serving as a speaker, a consultant or an advisory board member for Allergan, Bristol-Myers Squibb-Astra Zeneca, GlaxoSmithKline, Eli Lilly, Lifescan, MSD, Metronic, Novartis, Novo Nordisk, Pfizer, Sankio, Sanofi, Roche, Servier, Takeda. SdL has held grants from Eli Lilly Company, GlaxoSmithKline, Takeda, AstraZeneca, and Novo Nordisk Limited. SC and JM were employees of Eli Lilly and both participated in critical appraisal and preparation of the manuscript.

                Author information
                http://orcid.org/0000-0002-2897-2026
                http://orcid.org/0000-0003-4927-0901
                http://orcid.org/0000-0002-6833-9399
                http://orcid.org/0000-0001-5613-6810
                http://orcid.org/0000-0002-7717-8486
                http://orcid.org/0000-0003-0150-326X
                http://orcid.org/0000-0002-8553-2641
                Article
                PMEDICINE-D-19-01364
                10.1371/journal.pmed.1002942
                6779242
                31589609
                ed1a60f9-15d5-4916-afdc-efac7d4ec81d
                © 2019 Whyte et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 April 2019
                : 11 September 2019
                Page count
                Figures: 2, Tables: 4, Pages: 18
                Funding
                Funded by: Eli Lilly
                Award ID: Insights Projects
                Award Recipient :
                This work was received through a grant awarded to SdL from Eli Lilly 'Insights Projects' 2015.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and health sciences
                Diagnostic medicine
                Diabetes diagnosis and management
                HbA1c
                Biology and life sciences
                Biochemistry
                Proteins
                Hemoglobin
                HbA1c
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                People and Places
                Population Groupings
                Ethnicities
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Medicine and Health Sciences
                Neurology
                Neuropathy
                Medicine and Health Sciences
                Epidemiology
                Ethnic Epidemiology
                Medicine and Health Sciences
                Health Care
                Primary Care
                Custom metadata
                Patient level data cannot be shared publicly because of governance restrictions. However, data underlying the results presented in the study are available from The Royal College Of General Practitioners Research and Surveillance Centre for researchers who meet the criteria for access to confidential data. https://www.rcgp.org.uk/clinical-and-research/our-programmes/research-and-surveillance-centre.aspx.

                Medicine
                Medicine

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