Inequalities in health care among patients with type 2 diabetes by individual socio-economic status (SES) and regional deprivation: a systematic literature review

Early life socioeconomic inequalities and type 2 diabetes incidence: Longitudinal analyses in the Maastricht study

AIM

Type 2 diabetes (T2D) is a common chronic disease that disproportionally affects groups with a low socioeconomic position (SEP). This study aimed to examine associations between childhood SEP and incident T2D, independent of adult SEP.

METHODS

Longitudinal data from The Maastricht Study were used (N=6,727, 55.2 % female, mean (SD) age 58.7(8.7) years). Childhood SEP was determined by asking for the highest completed educational level for the father and mother and childhood income inadequacy. Adult SEP was determined by highest completed educational level, equivalent household income, and occupational position. Incident T2D was self-reported yearly (up to 12 years of follow-up). Associations were studied with Cox regression analyses.

RESULTS

In participants without T2D at baseline, 3.7% reported incident T2D over 8.2 (median) years of follow-up. Incident T2D was most common in people with low childhood and adult SEP and lowest in those with high childhood and adult SEP (1.7 vs. 7.5 per 1,000 person years). The association between childhood SEP and incident T2D was mainly explained by adult SEP, except for childhood income inadequacy which was independently associated with incident T2D.

CONCLUSION

Socioeconomic inequalities in childhood and adulthood are risk factors for incident T2D. More attention is needed to reduce childhood poverty and improve adult SEP to reduce the T2D risk.

Association of Occupational and Leisure-Time Physical Activity With Allostatic Load

INTRODUCTION

Leisure-time physical activity decreases allostatic load, a measure of burden of chronic stress. However, the role of occupational physical activity is unknown. This study examined associations of occupational physical activity and leisure-time physical activity with allostatic load among workers in the U.S.

METHODS

This cross-sectional study included 6,944 U.S. workers aged 20-64 years from the National Health and Nutrition Examination Survey (2007-2018). Physical activity was assessed using the Global Physical Activity Questionnaire. Allostatic load was calculated using biomarkers of cardiovascular, metabolic, and immune systems. Associations of occupational physical activity and leisure-time physical activity with allostatic load were examined using negative binomial regressions. Analyses were conducted between August 2022 and March 2023.

RESULTS

Vigorous leisure-time physical activity inversely associated with allostatic load among all workers (count ratio=0.68, 95% CI=0.62, 0.76) and in each sex- and age-stratified group as well as in each race/ethnicity-stratified group. Vigorous occupational physical activity positively associated with allostatic load only among females aged 20-44 years (1.38, 95% CI=1.10, 1.73). Inverse associations of vigorous leisure-time physical activity with allostatic load were similar in young females with high or low vigorous occupational physical activity.

CONCLUSIONS

Increasing vigorous leisure-time physical activity associates with a lower allostatic load for all workers, whereas increasing vigorous occupational physical activity associates with a higher allostatic load only in young females. Promoting vigorous leisure-time physical activity reduces allostatic load among young females with either low or high vigorous occupational physical activity.

Healthcare Utilization and Discrepancies by Income Level Among Patients With Newly Diagnosed Type 2 Diabetes in Korea: An Analysis of National Health Insurance Sample Cohort Data

OBJECTIVES

The use of qualitative healthcare services or its discrepancy between different income levels of the type 2 diabetes (T2D) patients has seldom been studied concurrently. The present study is unique that regarding T2D patients of early stages of diagnosis. Aimed to assess the utilization of qualitative healthcare services and influence of income levels on the inequality of care among newly diagnosed patients with T2D.

METHODS

A retrospective cohort study of 7590 patients was conducted by the National Health Insurance Service National Sample Cohort 2.0 from 2002 to 2015. Insured employee in 2013 with no history of T2D between 2002 and 2012 were included. The standard of diabetes care includes hemoglobin A1c (HbAlc; 4 times/y), eyes (once/y) and lipid abnormalities (once/y). Multivariate logistic regression analysis was performed to examine the difference between income levels and inequality of care.

RESULTS

From years 1 to 3, rates of appropriate screening fell from 16.9% to 14.1% (HbA1c), 15.8% to 14.5% (eye), and 59.2% to 33.2% (lipid abnormalities). Relative to income class 5 (the highest-income group), HbA1 screening was significantly less common in class 2 (year 2: odds ratio [OR], 0.78; 95% confidence interval [CI], 0.61 to 0.99; year 3: OR, 0.79; 95% CI, 0.69 to 0.91). In year 1, lipid screening was less common in class 1 (OR, 0.84; 95% CI, 0.73 to 0.98) than in class 5, a trend that continued in year 2. Eye screening rates were consistently lower in class 1 than in class 5 (year 1: OR, 0.73; 95% CI, 0.60 to 0.89; year 2: OR, 0.63; 95% CI, 0.50 to 0.78; year 3: OR, 0.81; 95% CI, 0.67 to 0.99).

CONCLUSIONS

Newly diagnosed T2D patients have shown low rate of HbA1c and screening for diabetic-related complications and experienced inequality in relation to receiving qualitative diabetes care by income levels.

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study

BACKGROUND AND AIMS

Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D).

METHODS

Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders.

RESULTS

High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results.

CONCLUSIONS

Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Are Socioeconomic Factors Associated With Atrial Fibrillation Sex-Dependent? A Narrative Review

Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, poses a significant public health and economic burden. Although socioeconomic factors such as income and education have been implicated in AF incidence and outcomes, the potential sex-specific associations remained underexplored. This narrative review aimed to fill this gap by synthesizing existing literature on the sex-specific impact of socioeconomic factors on AF incidence, treatment, and outcome. Among these socioeconomic factors, we identified income and education as the most frequently cited determinants. Nevertheless, the magnitude and direction of these sex differences remained inconsistent across studies. The review uncovered that many studies did not include sex in the analysis when assessing the impact of socioeconomic factors on AF. We highlighted that there is a paucity of studies employing sex-stratified reporting and sex interaction analyses, thereby hindering a deeper understanding of these relationships.

Prevalence and incidence of diabetic retinopathy in patients with diabetes of Latin America and the Caribbean: A systematic review and meta-analysis

OBJECTIVES

This systematic review aimed to assess the prevalence and incidence of diabetic retinopathy in patients with diabetes of Latin America and the Caribbean.

METHODS

We searched Web of Science (WoS)/Core Collection, WoS/MEDLINE, WoS/Scielo, Scopus, PubMed/Medline and Embase databases until January 16, 2023. We meta-analyzed prevalences according to type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM).

RESULTS

Forty-three prevalence studies (47 585 participants) and one incidence study (436 participants) were included. The overall prevalence of retinopathy in patients with T1DM was 40.6% (95% CI: 34.7 to 46.6; I2: 92.1%) and in T2DM was 37.3% (95% CI: 31.0 to 43.8; I2: 97.7), but the evidence is very uncertain (very low certainty of evidence). In meta-regression, we found that age (T1DM) and time in diabetes (T2DM) were factors associated with the prevalence. On the other hand, one study found a cumulative incidence of diabetic retinopathy of 39.6% at 9 years of follow-up.

CONCLUSIONS

Two out of five patients with T1DM or T2DM may present diabetic retinopathy in Latin America and the Caribbean, but the evidence is very uncertain. This is a major public health problem, and policies and strategies for early detection and opportunely treatment should be proposed.

Relationships between the Structural Characteristics of General Medical Practices and the Socioeconomic Status of Patients with Diabetes-Related Performance Indicators in Primary Care

The implementation of monitoring for general medical practice (GMP) can contribute to improving the quality of diabetes mellitus (DM) care. Our study aimed to describe the associations of DM care performance indicators with the structural characteristics of GMPs and the socioeconomic status (SES) of patients. Using data from 2018 covering the whole country, GMP-specific indicators standardized by patient age, sex, and eligibility for exemption certificates were computed for adults. Linear regression models were applied to evaluate the relationships between GMP-specific parameters (list size, residence type, geographical location, general practitioner (GP) vacancy and their age) and patient SES (education, employment, proportion of Roma adults, housing density) and DM care indicators. Patients received 58.64% of the required medical interventions. A lower level of education (hemoglobin A1c test: β = -0.108; ophthalmic examination: β = -0.100; serum creatinine test: β = -0.103; and serum lipid status test: β = -0.108) and large GMP size (hemoglobin A1c test: β = -0.068; ophthalmological examination β = -0.031; serum creatinine measurement β = -0.053; influenza immunization β = -0.040; and serum lipid status test β = -0.068) were associated with poor indicators. A GP age older than 65 years was associated with lower indicators (hemoglobin A1c test: β = -0.082; serum creatinine measurement: β = -0.086; serum lipid status test: β = -0.082; and influenza immunization: β = -0.032). Overall, the GMP-level DM care indicators were significantly influenced by GMP characteristics and patient SES. Therefore, proper diabetes care monitoring for the personal achievements of GPs should involve the application of adjusted performance indicators.

Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review

BACKGROUND

Overadjustment bias occurs when researchers adjust for an explanatory variable on the causal pathway from exposure to outcome, which leads to biased estimates of the causal effect of the exposure. This meta-research review aimed to examine how previous systematic reviews and meta-analyses of socio-economic inequalities in health have managed overadjustment bias.

METHODS

We searched Medline and Embase until 16 April 2021 for systematic reviews and meta-analyses of observational studies on associations between individual-level socio-economic position and health outcomes in any population. A set of criteria were developed to examine methodological approaches to overadjustment bias adopted by included reviews (rated Yes/No/Somewhat/Unclear).

RESULTS

Eighty-four reviews were eligible (47 systematic reviews, 37 meta-analyses). Regarding approaches to overadjustment, whereas 73% of the 84 reviews were rated as Yes for clearly defining exposures and outcomes, all other approaches were rated as Yes for <55% of reviews; for instance, 5% clearly defined confounders and mediators, 2% constructed causal diagrams and 35% reported adjusted variables for included studies. Whereas only 2% included overadjustment in risk of bias assessment, 54% included confounding. Of the 37 meta-analyses, 16% conducted sensitivity analyses related to overadjustment.

CONCLUSIONS

Our findings suggest that overadjustment bias has received insufficient consideration in systematic reviews and meta-analyses of socio-economic inequalities in health. This is a critical issue given that overadjustment bias is likely to result in biased estimates of health inequalities and accurate estimates are needed to inform public health interventions. There is a need to highlight overadjustment bias in review guidelines.

Impact of two COVID-19 lockdowns on HbA1c levels in patients with type 2 diabetes and associations with patient characteristics: a multicentre, observational cohort study over three years

Introduction

Glycemic effects of COVID-19 lockdowns on patients with type 2 diabetes (T2D) are controversial. In this long-term observation, we aimed (1) to analyze changes in HbA1c levels during lockdowns in Germany, and (2) to investigate whether diabetes medication, comorbidities, and sociodemographic data influenced these changes.

Materials and methods

This cohort study observed 1,089 patients aged ≥18 years over the years 2019 to 2021. Patients were recruited from 14 physicians specialized on diabetes. As dependent variable, 7,987 HbA1c values were analyzed by multivariable linear regression adjusted for random effects of physicians and patients.

Results

Patients had a median age of 68 (60/76) years and 623 (57.2%) were male. Before the pandemic, median HbA1c level (in %) was 6.9 (6.3/7.7). Average HbA1c level increased during first lockdown (0.21,0.11/0.31,p < 0.001), after first lockdown (0.23,0.18/0.28,p < 0.001), during second lockdown (0.40,0.33/0.47,p < 0.001) and after second lockdown (0.27,0.18/0.36,p < 0.001). The increase of HbA1c levels was more pronounced in male patients (0.08,0.01/0.15,p = 0.019), if patients did not have German as native language (0.12,0.01/0.23,p = 0.041) and if they were widowed (0.19,0.05/0.32,p = 0.008). End organ damages (0.12,0.01/0.23,p = 0.039), atherosclerotic cardiovascular disease (ASCVD; 0.23,0.10/0.36,p = 0.001) and cardiovascular events (0.25,0.10/0.40,p = 0.001) as well as oral medication (0.09,0.03/0.15,p = 0.002), intermediate- or long-acting insulins (0.24,0.16/0.32,p < 0.001), and fast-acting or mixed insulins (0.30,0.23/0.36,p < 0.001) were also related to a greater increase in HbA1c levels.

Conclusion

Both lockdowns resulted in a significant increase in HbA1c levels. In particular, patients with ASCVD, cardiovascular events, and insulin therapy appear to be at risk for worsening glycemic control in crisis and thus require special medical attention.

Clinical Trial Registration

ClinicalTrials.gov (NCT04821921).

Socioeconomic inequalities in health-related functioning among people with type 2 Diabetes: longitudinal analyses in the Maastricht Study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a common chronic disease that disproportionally affects disadvantaged groups. People with a low socioeconomic position (SEP) have increased risk of T2DM and people with a low SEP and T2DM have higher HbA1c-levels compared to people with T2DM and high SEP. The aim of this study is to analyze longitudinal socioeconomic differences in health-related functioning in people with T2DM.

METHODS

Longitudinal data from 1,537 participants of The Maastricht Study with T2DM were used (32.6% female, mean (SD) age 62.9 (7.7) years). SEP was determined by baseline measures of education, occupation and income. Health-related functioning (physical, mental and social) was measured with the Short-Form Health Survey and the Impact on Participation and Autonomy survey (all scored from 0 to 100). Associations of SEP and health-related functioning were studied annually over a 10-year period (median (IQR) 7.0 (5.0) years, baseline 2010-2018) using linear mixed methods adjusting for demographics, HbA1c-levels and lifestyle factors.

RESULTS

Participants with a low SEP had significantly worse health-related functioning compared to those with a high SEP. For example, participants with low income had lower scores for physical (-4.49[CI -5.77;-3.21]), mental (-2.61[-3.78,-1.44]) and social functioning (-9.76[-12.30;-7.23]) compared to participants with high income on a scale from 0 to 100. In addition, participants with a low education significantly declined more over time in mental (score for interaction education with time - 0.23[-0.37;-0.09]) and social functioning (-0.44[-0.77;-0.11]) compared to participants with high education. Participants with low and intermediate incomes significantly declined more over time in physical functioning (-0.17 [-0.34, -0.01 and - 0.18 [-0.36, 0.00]) compared to participants with high income.

CONCLUSIONS

Among people with T2DM, those with a lower SEP had worse health-related functioning in general than people with a higher SEP. Additionally, people with T2DM and low education developed poorer mental and social functioning over time compared to people with T2DM and high education. People with T2DM and low or intermediate income declined more in physical functioning over time than those with high incomes. In addition to HbA1c-levels and lifestyle patterns, more attention is needed for socioeconomic differences in health-related functioning for people living with T2DM.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.

Which diabetes specific patient reported outcomes should be measured in routine care? A systematic review to inform a core outcome set for adults with Type 1 and 2 diabetes mellitus: The European Health Outcomes Observatory (H2O) programme

OBJECTIVES

The objective was to identify candidate patient reported outcomes with potential to inform individual patient care and service development for inclusion in a digital outcome set to be collected in routine care, as part of an international project to enhance care outcomes for people with diabetes.

METHODS

PubMed, COSMIN and COMET databases were searched. Published studies were included if they recommended patient reported outcomes that were clinically useful and/or important to people with diabetes. To aid selection decisions, recommended outcomes were considered in terms of the evidence endorsing them and their importance to people with diabetes.

RESULTS

Twenty-seven studies recommending 53 diabetes specific outcomes, and patient reported outcome measures, were included. The outcomes reflected the experience of living with diabetes (e.g. psychological well-being, symptom experience, health beliefs and stigma) and behaviours (e.g. self-management). Diabetes distress and self-management behaviours were most endorsed by the evidence.

CONCLUSIONS

The review provides a comprehensive list of candidate outcomes endorsed by international evidence and informed by existing outcome sets, and suggestions for measures.

PRACTICE IMPLICATIONS

The review offers evidence to guide clinical application. Integrated measurement of these outcomes in care settings holds enormous potential to improve provision of care and outcomes in diabetes.

Inequalities in Diabetes Mortality Between Microregions in Hungary

Objectives: Regional differences in diabetes mortality are high in Hungary. In our cross-sectional study, we aim to reveal the drivers of the inequalities in diabetes mortality across the 197 microregions of Hungary. To account for the influence of changes in healthcare and social conditions, we compared two periods (2009-12 and 2013-16). Methods: Traditional and re-conceptualized deprivation- and healthcare provison measures were used in OLS regression models. Results: Microregions with a high proportion of population living in "service deserts," especially in regard to the lack of grocery stores, suffer the highest rates of diabetes mortality. Alcohol-related mortality has been proven to be a similarly and surprisingly strong predictor of diabetes mortality. Conclusion: Food provision should be supported in areas characterized by low service density, and alcohol policy should be strengthened and targeted.

Social determinants of health and hypertension in women compared with men in the United States: An analysis of the NHANES study

BACKGROUND

Social determinants of health (SDH) reflecting social deprivation have been developed for population health management. There is a paucity of data on the prevalence of SDH and its associations with prevalent hypertension in women compared with men.

METHODS

A total of 49 791 participants aged over 20 years from the 1999-2018 National Health and Nutrition Examination Surveys, were included. Information on the SDH, including race/ethnicity, education level, family income, housing, marriage status, employment, were collected. We calculated the prevalence ratio (PR) for each adverse SDH with prevalent hypertension and uncontrolled hypertension by using Cox regression with equal times of follow-up assigned to all individuals with adjustment for age, diabetes, taking lipid-lowering medication, and health behaviors. The population-attributable fractions (PAF) of the SDH were also assessed.

RESULTS

A lower proportion of low education attainment was observed in women than men (women: 16.8% vs. men: 17.9%, p = .003), but women had higher proportions of low family income (15.3% vs. 12.5%, p < .001), unmarried state (47.3% vs. 40.9%, p < .001), and unemployment (22.7% vs. 10.7%, p < .001). All the SDH was significantly associated with hypertension in women. There were significant dose-response associations between the numbers of adverse SDH with hypertension. The total PAF of SDH for prevalent hypertension was greater in women (22.2%) than in men (13.9%).

CONCLUSIONS

The widely influential SDH is associated with prevalent hypertension and uncontrolled hypertension. To improve hypertension management, health resources should prioritize socioeconomically disadvantaged groups considering gender differences.

The effect of post-traumatic growth on recovery in liver transplant recipients

Aim

In our study, we examined the effect of post-traumatic growth on recovery in liver transplant recipients in the post-transplant period.

Method

This research was performed as a descriptive and cross-sectional study with the participation of 218 patients who had liver transplantation at the liver transplant institute of a research and training hospital. The personal information form, the Post-Traumatic Growth Inventory, and the Recovery Assessment Scale were used in the data collection process. The Statistical Package for Social Science 25.0 was utilized in the data analysis process.

Findings

In the research, of all participant liver transplant recipients, 67.8% were aged 45-64 years, 34.4% had incomes below expenses, and 91.7% had living donor liver transplantation. Besides, it was found that participants who had living donor liver transplantation obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had cadaveric donor liver transplantation, and likewise, participants who had past surgery experiences obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had no past surgery experience (p < 0.05). Moreover, there was a statistically significant positive linear relationship between participant liver transplant recipients' Post-Traumatic Growth Inventory and Recovery Assessment Scale scores.

Conclusion

Post-traumatic growth supports recovery. Also, social support and a good economic situation are other parameters that promote recovery. In the two-year process during which the treatment is intensively applied to liver transplant recipients following the transplantation surgery, it is important to enable patients to find more meaning in life and to find solutions that facilitate recovery.

Effects of individual and neighborhood social risks on diabetes pay-for-performance program under a single-payer health system

BACKGROUND

Enrollment in and adherence to a diabetes pay-for-performance (P4P) program can lead to desirable processes and outcomes of diabetes care. However, knowledge is limited on the potential exclusion of patients with individual or neighborhood social risks or interruption of services in the disease-specific P4P program without mandatory participation under a single-payer health system.

OBJECTIVE

To investigate the impact of individual and neighborhood social risks on exclusion from and adherence to the diabetes P4P program of patients with type 2 diabetes (T2D) in Taiwan.

METHODS

This study used data from Taiwan's 2009-2017 population-based National Health Insurance Research Database, 2010 Population and Housing Census, and 2010 Income Tax Statistics. A retrospective cohort study was conducted, and study populations were identified from 2012 to 2014. The first cohort comprised 183,806 patients with newly diagnosed T2D, who had undergone follow up for 1 year; the second cohort consisted of 78,602 P4P patients who had undergone follow up for 2 years after P4P enrollment. Binary logistic regression models were used to examine the associations of social risks with exclusion from and adherence to the diabetes P4P program.

RESULTS

T2D patients with higher individual social risks were more likely to be excluded from the P4P program, but those with higher neighborhood-level social risks were slightly less likely to be excluded. T2D patients with the higher individual- or neighborhood-level social risks showed less likelihood of adhering to the program, and the person-level coefficient was stronger in magnitude than the neighborhood-level one.

CONCLUSIONS

Our results indicate the importance of individual social risk adjustment and special financial incentives in disease-specific P4P programs. Strategies for improving program adherence should consider individual and neighborhood social risks.

Current Development of Chemical Penetration Enhancers for Transdermal Insulin Delivery

The use of the transdermal delivery system has recently gained ample recognition due to the ability to deliver drug molecules across the skin membrane, serving as an alternative to conventional oral or injectable routes. Subcutaneous insulin injection is the mainstay treatment for diabetes mellitus which often leads to non-compliance among patients, especially in younger patients. Apart from its invasiveness, the long-term consequences of insulin injection cause the development of physical trauma, which includes lipohypertrophy at the site of administration, scarring, infection, and sometimes nerve damage. Hence, there is a quest for a better alternative to drug delivery that is non-invasive and easily adaptable. One of the potential solutions is the transdermal delivery method. However, the stratum corneum (the top layer of skin) is the greatest barrier in transporting large molecules like insulin. Therefore, various chemical enhancers have been proposed to promote stratum corneum permeability, or they are designed to increase the permeability of the full epidermis, such as the use of ionic liquid, peptides, chemical pre-treatment as well as packaging insulin with carriers or nanoparticles. In this review, the recent progress in the development of chemical enhancers for transdermal insulin delivery is discussed along with the possible mechanistic of action and the potential outlook on the proposed permeation approaches in comparison to other therapeutical drugs

Association of socioeconomic status with cardiovascular disease and cardiovascular risk factors: a systematic review and meta-analysis

Aim

Cardiovascular disease (CVD) remains one of the leading causes of mortality worldwide, and several studies have indicated the association between socioeconomic status (SES) with CVD and cardiovascular risk factors (CVRFs). It is necessary to elucidate the association of SES and CVRFs with CVD.

Subject and methods

We searched PubMed, Embase, Web of Science, and the Cochrane Library for publications, using "socioeconomic status," "cardiovascular disease," and corresponding synonyms to obtain literature. The quality of studies was evaluated using the National Institutes of Health Quality Assessment Tool (NIH-QAT). All analyses were performed using Stata V.12.0.

Results

There were 31 eligible studies included in this meta-analysis. All studies presented a low risk of bias via NIH-QAT assessment. As for CVD incidence/mortality, pooled hazard ratios (HR) of low and middle vs. high income were [HR = 1.22 (1.17-1.28); HR = 1.12 (1.09-1.16)] and [HR = 1.37 (1.21-1.56); HR = 1.19 (1.06-1.34)]. The HR of education were [HR = 1.44 (1.28-1.63); HR = 1.2 (1.11-1.3)] and [HR = 1.5 (1.22-1.83); HR = 1.13 (1.05-1.22)]. The HR of deprivation were [HR = 1.28 (1.16-1.41); HR = 1.07 (1.03-1.11)] and [HR = 1.19 (1.11-1.29); HR = 1.1 (1.02-1.17)]. SES was negatively correlated with CVD outcomes. A subgroup analysis of gender and national income level also yielded a negative correlation, and additional details were also obtained.

Conclusions

SES is inversely correlated with CVD outcomes and the prevalence of CVRFs. As for CVD incidence, women may be more sensitive to income and education. In terms of CVD mortality, men may be more sensitive to income and education, and people from low- and middle-income countries are sensitive to income and education.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-023-01825-4.

Adverse Clinical Outcomes Attributable to Socioeconomic and Ethnic Disparities Among People with Type 2 Diabetes in New Zealand Between 1994-2018: A Multiple Linked Cohort Study

Purpose

The study aimed to examine the separate population-level contributions of the ethnic and socioeconomic disparities among people with type 2 diabetes mellitus (T2DM) and residence in New Zealand (NZ).

Patients and Methods

A prospective cohort enrolled T2DM patients from 01/01/1994 into the Diabetes Care Support Service, a primary care audit program in Auckland, NZ. The cohort was linked to national registry databases (socioeconomic status, pharmaceutical claim, hospitalization, and death registration). Each cohort member was followed up till death or the study end time (31/12/2019), whichever came first. Incident clinical events (stroke, myocardial infarction (MI), heart failure (HF), end-stage renal disease (ESRD), and premature mortality (PM)) were used as outcomes. The attributable fractions (AFs) were estimated for the whole population and for specific population with NZ Europeans (NZE) and/or least deprived population as reference, both unadjusted and with adjustment for covariables by Cox Regression models.

Results

Among 36,267 patients, adjusted population AFs indicated 6.6(-30.8-33.3)% of PM, 17.1(5.8-27.0)% of MI, 35.3(22.6-46.0)% of stroke, 14.3(3.2-24.2)% of HF, and 15.9(6.7-24.2)% of ESRD could be attributed to deprivation; while 14.3(3.3-25.4)% of PM, -3.3(-8.3-1.5)% of MI, -0.5(-6.7-5.3)% of stroke, 4.7(0.3-8.8)% of HF, 13.3(9.9-16.6)% of ESRD could be attributed to ethnicity. Deprivation contributed a significant AF to stroke, while ethnicity was important for ESRD. Gradient of AF for deprivation indicated NZE and Asians were most affected by deprivation across outcomes. Conversely, Māori, with the highest AFs for ethnicity of PM and ESRD, were unaffected by deprivation. At same deprivations, the AFs of MI and stroke were greatest among NZE compared with other ethnic groups; the AF of ESRD was greatest among Māori and Pasifika.

Conclusion

Both socioeconomic deprivation and ethnicity are strongly associated with outcomes in patients with T2DM in NZ, although the extent of the deprivation gradient is greatest among NZE and Asians, and least among Māori.

Socioeconomic disparities in diabetes prevalence and management among the adult population in Bangladesh

BACKGROUND

Diabetes, one of the major metabolic disorders, is rising in Bangladesh. Studies indicate there is inequality in prevalence and care-seeking behavior, which requires further exploration to understand the socioeconomic disparities in the pathophysiology of diabetes. This study examined the latest nationally representative estimates of diabetes prevalence, awareness, and management among adults aged 18 years and above in Bangladesh and its association with socioeconomic status in 2017-18.

METHODS

We used the 2017-18 Bangladesh Demographic and Health Survey data. Diabetic status of 12,092 adults aged 18 years and above was measured in the survey using fasting plasma glucose levels. We applied multivariate logistic regressions to examine the role of socioeconomic status on diabetes prevalence, awareness, and management, after controlling for relevant covariates.

RESULTS

Overall, 10% of adults had diabetes in Bangladesh in 2017-18, with the highest prevalence of 16% in the age group 55-64 years. Our analyses found statistically significant disparities by socioeconomic status in the prevalence of diabetes as well as the person's awareness of his/her diabetic condition. However, the effect of socioeconomic status on receiving anti-diabetic medication only approached significance (p = 0.07), and we found no significant association between socioeconomic status and control of diabetes.

CONCLUSIONS

We expect to see an 'accumulation' of the number of people with diabetes to continue in the coming years. The rising prevalence of diabetes is only the tip of an iceberg; a large number of people with uncontrolled diabetes and a lack of awareness of their condition will lead to increased morbidity and mortality, and that could be the real threat. Immediate measures to increase screening coverage and exploration of poor control of diabetes are required to mitigate the situation.

Physical Activity Treatment in Adults with Type 2 Diabetes Mellitus per National Treatment Guidelines for Germany: A Telephone-Survey-Based Analysis

Physical activity (PA) is effective in the prevention of type 2 diabetes mellitus (T2DM). According to the German national treatment guidelines for T2DM, PA is recommended at all stages of the treatment process. Adults with T2DM were recruited within the cross-sectional telephone survey 'Disease knowledge and information needs-Diabetes mellitus (2017)'. Self-reported data on socio-demographic characteristics, previous and current T2DM treatment, and PA behavior were collected. Using multivariable logistic regression models, the correlation between PA treatment (referrals and recommendations) and PA was investigated. Overall, 1149 adults diagnosed with T2DM are included in the analysis. Of the participants, 66.7% reported having ever received PA as part of their T2DM treatment with 61% of the participants reporting PA treatment at the time of the initial T2DM diagnosis and 54% at the time of the interview. Women, older participants, and those with a lower educational level were less likely to have ever been treated with PA. Currently being treated with PA as part of the T2DM treatment was associated with higher rates of achieving the World Health Organization's PA recommendations (≥150 min per week) (OR = 1.95, 95% CI: 1.42-2.68), as well as ever being treated with PA (OR = 1.74, 95% CI: 1.20-2.38). The analyses showed that PA treatment plays a role in the treatment process of T2DM, but not all patient subgroups benefit in the same way. Efforts to increase PA treatment as part of T2DM treatment are needed, especially for those who are currently not treated with PA. Further research is needed to better understand the type of PA (e.g., structured or unstructured) undertaken by adults with T2DM to develop tailored PA interventions for adults with T2DM and for those in vulnerable subgroups.

Poor Eating Behaviors Related to the Progression of Prediabetes in a Japanese Population: An Open Cohort Study

This study aimed to examine lifestyle factors associated with the change in glucose categories among individuals without diabetes. We analyzed cohort data of medical check-ups at baseline between April 2008 and December 2012. The primary and secondary outcomes were the change in glucose categories from normoglycemia (glycated hemoglobin (HbA1c) < 5.7% and fasting plasma glucose (FPG) < 5.6 mmol/L) to prediabetes (HbA1c 5.7-6.4% or FPG 5.6-6.9 mmol/L) and from prediabetes to normoglycemia. During a mean follow-up of 2.4 years, 7083 of 57,018 individuals with normoglycemia developed prediabetes, whereas 4629 of 9926 individuals with prediabetes returned to normoglycemia. Factors associated with progression to prediabetes were baseline BMI (hazard ratio [95% confidence interval]: 1.08 [1.07-1.09]), change in BMI during follow-up (1.05 [1.03-1.07]), late dinner/snacking (1.16 [1.10-1.22]), skipping breakfast (1.12 [1.06-1.18]), and heavy alcohol consumption (1.33 [1.24-1.42]). Factors associated with return to normoglycemia from prediabetes were baseline BMI (0.94 [0.93-0.95]) and change in BMI during follow-up (0.95 [0.93-0.97]). In conclusion, poor eating behaviors, such as skipping breakfast, late dinner/snacking, and heavy alcohol consumption, were associated with the progression from normoglycemia to prediabetes.

Inequalities by Income in the Prevalence of Cardiovascular Disease and Its Risk Factors in the Adult Population of Catalonia

Background Understanding the magnitude of cardiovascular disease (CVD) inequalities is the first step toward addressing them. The linkage of socioeconomic and clinical data in universal health care settings provides critical information to characterize CVD inequalities. Methods and Results We employed a prospective cohort design using electronic health records data from all residents of Catalonia aged 18+ between January and December of 2019 (N=6 332 228). We calculated age-adjusted sex-specific prevalence of 5 CVD risk factors (diabetes, hypertension, hyperlipidemia, obesity, and smoking), and 4 CVDs (coronary heart disease, cerebrovascular disease, atrial fibrillation, and heart failure). We categorized income into high, moderate, low, and very low according to individual income (tied to prescription copayments) and receipt of welfare support. We found large inequalities in CVD and CVD risk factors among men and women. CVD risk factors with the largest inequalities were diabetes, smoking, and obesity, with prevalence rates 2- or 3-fold higher for those with very low (versus high) income. CVDs with the largest inequalities were cerebrovascular disease and heart failure, with prevalence rates 2 to 4 times higher for men and women with very low (versus high) income. Inequalities varied by age, peaking at midlife (30-50 years) for most diseases, while decreasing gradually with age for smoking. Conclusions We found wide and heterogeneous inequalities by income in 5 CVD risk factors and 4 CVD. Our findings in a region with a high-quality public health care system and universal coverage stress that strong equity-promoting policies are necessary to reduce disparities in CVD.

Level of education is associated with coronary heart disease and chronic kidney disease in individuals with type 2 diabetes: a population-based study

INTRODUCTION

To study the relationship between education level and vascular complications in individuals with type 2 diabetes in Norway.

RESEARCH DESIGN AND METHODS

Multiregional population-based cross-sectional study of individuals with type 2 diabetes in primary care. Data were extracted from electronic medical records in the period 2012-2014. Information on education level was obtained from Statistics Norway. Using multivariable multilevel regression analyses on imputed data we analyzed the association between education level and vascular complications. We adjusted for age, sex, HbA1c, low-density lipoprotein cholesterol, systolic blood pressure, smoking and diabetes duration. Results are presented as ORs and 95% CIs.

RESULTS

Of 8192 individuals with type 2 diabetes included, 34.0% had completed compulsory education, 49.0% upper secondary education and 16.9% higher education. The prevalence of vascular complications in the three education groups was: coronary heart disease 25.9%, 23.0% and 16.9%; stroke 9.6%, 7.4% and 6.6%; chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m²) 23.9%, 16.8% and 12.6%; and retinopathy 13.9%, 11.5% and 11.7%, respectively. Higher education was associated with lower odds for coronary heart disease (OR 0.59; 95% CI 0.49 to 0.71) and chronic kidney disease (OR 0.75; 95% CI 0.60 to 0.93) compared with compulsory education when adjusting for age, sex, HbA1c, low-density lipoprotein cholesterol, systolic blood pressure, smoking and diabetes duration.

CONCLUSIONS

In a country with equal access to healthcare, high education level was associated with lower odds for coronary heart disease and chronic kidney disease in individuals with type 2 diabetes.

Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008-2018

BACKGROUND

Large-scale longitudinal studies evaluating influences of the built environment on risk for type 2 diabetes (T2D) are scarce, and findings have been inconsistent.

OBJECTIVE

To evaluate whether land use environment (LUE), a proxy of neighborhood walkability, is associated with T2D risk across different US community types, and to assess whether the association is modified by food environment.

METHODS

The Veteran's Administration Diabetes Risk (VADR) study is a retrospective cohort of diabetes-free US veteran patients enrolled in VA primary care facilities nationwide from January 1, 2008, to December 31, 2016, and followed longitudinally through December 31, 2018. A total of 4,096,629 patients had baseline addresses available in electronic health records that were geocoded and assigned a census tract-level LUE score. LUE scores were divided into quartiles, where a higher score indicated higher neighborhood walkability levels. New diagnoses for T2D were identified using a published computable phenotype. Adjusted time-to-event analyses using piecewise exponential models were fit within four strata of community types (higher-density urban, lower-density urban, suburban/small town, and rural). We also evaluated effect modification by tract-level food environment measures within each stratum.

RESULTS

In adjusted analyses, higher LUE had a protective effect on T2D risk in rural and suburban/small town communities (linear quartile trend test p-value <0.001). However, in lower density urban communities, higher LUE increased T2D risk (linear quartile trend test p-value <0.001) and no association was found in higher density urban communities (linear quartile trend test p-value = 0.317). Particularly strong protective effects were observed for veterans living in suburban/small towns with more supermarkets and more walkable spaces (p-interaction = 0.001).

CONCLUSION

Among veterans, LUE may influence T2D risk, particularly in rural and suburban communities. Food environment may modify the association between LUE and T2D.

Trends in glycemic control, cardiovascular risk factors and chronic complications of type 2 diabetes, 2012-2016, in a healthcare area of Barcelona

AIMS

This study aimed to analyse the evolution of the metabolic control, cardiovascular risk factors and chronic complications in a Type 2 Diabetes (T2D) population in a healthcare area of Barcelona.

METHODS

We carried out a comparative study of T2D patients (20.457) between 2012 and 2016 (data recorded in the "Electronic Clinical-Station in Primary Care") concerning: age, gender, body mass index (BMI), arterial blood pressure (BP), HbA1c, LDL-Cholesterol, smoking, heart failure (HF), micro and macrovascular complications.

RESULTS

Average HbA1c was 6.9 % in 2012 and 7 % in 2016 (Non significant differences)(NS). In 2012, 57.9 % of patients presented proper glycaemic control, 42.8 % LDL-Cholesterol < 100 mg/dL and 76.9 % BP < 140/90 while in 2016 it was 61.2 % (NS), 59.2 % (p = 0.001) and 82.9 % (p = 0.016) respectively. No changes were found in BMI or active smoking. Significant increases were found in the prevalence of microvascular complications, HF and peripheral vasculopathy (PV). Patients with vascular diseases (PVD) and adequate metabolic control increased from 57.5 % to 62.7 % (p = 0.006). Albuminuria > 30 mg/g were more frequent among PVD.

CONCLUSIONS

Between 2012 and 2016 it was observed that, amongst our study population, glycaemic control was steady and cholesterol and BP levels were improved, while there was a significant increase of diabetic complications, HF and PV.

Socio-economic inequalities in glycaemic control in recently diagnosed adults with type 1 and type 2 diabetes

BACKGROUND AND AIMS

It is unclear whether socio-economic status (SES) is associated with glycaemic control in people with recently diagnosed diabetes. The aim was to investigate whether SES is related to haemoglobin A1c (HbA1c) during the first year after diagnosis in people with type 1 and type 2 diabetes and if metabolic, quality of care or mental factors may explain the association.

METHODS

In the German Diabetes Study, people with type 1 (n = 274, median age 36 [25th; 75th percentile: 28; 48] years) and type 2 diabetes (n = 424, 54 [47; 60] years) underwent detailed metabolic characterisation within the first year after diagnosis. SES was documented using a standardised questionnaire. Associations between SES and HbA1c were assessed using multivariable linear regression and restricted cubic spline regression analyses. Additional covariables were patient characteristics, laboratory measurements, health behaviour, quality of care and depression variables. Models were separately fitted for diabetes type, SES and its dimensions (income, education, occupation).

RESULTS

Higher SES score was associated with lower HbA1c (-0.7 mmol/mol per unit increase in SES, 95% CI: -1.1; -0.2 mmol/mol [-0.1%, 95% CI: -0.1; 0.0%]) in people with type 1 diabetes. Included covariates did not attenuate this association. In people with type 2 diabetes, effect estimates were close to zero indicating no relevant difference.

CONCLUSION

Socio-economic inequalities in HbA1c already exist during the first year after diagnosis in people with type 1 diabetes. The absence of association between glycaemic control and SES in type 2 diabetes could be due to the lower complexity of diabetes therapy compared to type 1 diabetes.

Assessment of variation in long-term outcomes of integrated care initiatives in Dutch health care

Introduction

The care for many patients with diabetes mellitus type 2 in the Netherlands, is contracted by a local care group. The healthcare providers, who collectively shape a care group, provide protocolled diabetes care. Differences exist between care groups in terms of their organizational and financial arrangements. These differences may result in variation in outcomes. The aim of this study is to assess whether variation in healthcare costs, diabetes complications and related hospital admissions on the level of care groups exist.

Methods

A quantitative cohort study was conducted. Patients who used diabetes medication (more than 180 days of defined daily doses per year) for the first time between the years 2014 and 2019 were included. Data were extracted from health insurance claims between 2014 and 2019. Generalized linear mixed models were used to analyse patient variation in healthcare costs (two and six years follow-up), diabetes-related complications and hospital admission days. Intraclass correlation coefficients were calculated to estimate the amount of variation that was attributable to the care groups.

Results

A large variation in outcome variables was observed between patients and a small variation between care groups. The intraclass correlation coefficient for long-term costs was 0.4%; for short-term costs between 0.1% and 0.3%; for complications 1% and for hospital days 4%.

Discussion

A large variation between patients with diabetes mellitus type 2 exists in terms of their healthcare costs and complications. In our study, care groups accounted minimally for this variation. A generalized linear mixed model in combination with year cohorts is a tool to study variations in the long-term outcomes of integrated care initiatives.

Compliance with Cardiovascular Prevention Guidelines in Type 2 Diabetes Individuals in a Middle-Income Region: A Cross-Sectional Analysis

Stricter control of risk factors has been pursued as a compelling strategy to mitigate cardiovascular events (CVE) in type 2 diabetes (T2D) individuals. However, the achievement rate of the recommended goals has remained low in clinical practice. This study investigated the 2019 ESC guideline recommendation attainment among T2D individuals enrolled in a national cohort held in Brazil. Data from 1030 individuals (mean age: 58 years old; 54% male; mean T2D duration: 9.7 years) were analyzed. The control rates were 30.6% for SBP, 18.8% for LDL-C, and 41% for A1c, and only 3.2% of the study participants met all three targets. Statins and high-intensity lipid-lowering therapy prescription rates were 45% and 8.2%, respectively. Longer T2D duration and those at higher CV risk were less likely to be controlled. Longer diabetes duration and higher CV risk were inversely related to the chance of achieving the recommended targets. Treatment escalation using conventional therapies would be sufficient to gain optimal control in most of the study sample. In conclusion, a minimal proportion of T2D individuals comply with guidelines-oriented CV prevention targets. Given the significant burden of the disease, and the substantial effect size predicted for these therapies, bridging this gap between guidelines and clinical practice should be considered an urgent call to public health managers.

Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

Psoriasis is a chronic disease with high impact on patients' health and their quality of life. Psoriasis often occurs along with other comorbidities, but it is not yet clear what role the comorbidities play in regional psoriasis prevalence. This study investigates the temporal and regional variation of the psoriasis comorbidities diabetes mellitus type II, obesity, hypertension, affective disorders in Germany and their association with psoriasis prevalence. This analysis based on the population set of ambulatory claims data (2010-2017) of the statutory health insurance (SHI) in Germany (approx. 70.3 million people in 2017). Psoriasis comorbidities rates were determined on county level. We performed descriptive spatiotemporal analyses of psoriasis comorbidity prevalence rates. In addition, we identified and compared spatial clusters and examined regional variations using spatial statistical methods. The results show strong regional variations (northeast to south gradient) and an increasing psoriasis prevalence (max. 28.8%) within the observation period. Considering the comorbidities, results indicate comparable spatial prevalence patterns for diabetes mellitus type II, obesity and hypertension. This means that the highest prevalence of comorbidities tends to be found where the psoriasis prevalence is highest. The spatiotemporal cluster analyses could once again confirm the results. An exception to this is to be found in the case of affective disorders with different spatial patterns. The results of the studies show the first spatiotemporal association between psoriasis prevalence and comorbidities in Germany. The causalities must be investigated in more detail in order to be able to derive measures for improved care.

How do individuals with alcohol problems use social and healthcare services in Finland? Comparison of service use patterns between two high-need patient groups

Aims:

Alcohol use disorders (AUDs) are associated with high risk of comorbidities and excess use of social and healthcare services. We examined health service use (HSU) frequencies of patients with AUD in comparison to those with type 2 diabetes mellitus (T2DM).

Design:

A random sample of individuals with AUD (n = 396) were identified based on ICD-10 codes and HSU patterns, morbidity and mortality were compared with age- and gender-matched T2DM controls (n = 792) using logistic regression analysis. Six years (2011–2016) of electronic health record (EHR) data from the North Karelia district in Finland were used.

Results:

Similarities in comorbidity patterns existed, although mental health comorbidity (odds ratio [OR] 1.86) was more prevalent in the AUD group. The average annual HSU varied according to the groups: T2DM patients had more continuous contact with public health nurses in primary care, whereas AUD patients were more likely to experience somatic specialised care hospitalisations (OR 11.30) and have frequent somatic primary healthcare doctor visits (OR 3.30) and frequent emergency room doctor visits in specialised care (OR 8.89). Furthermore, patients with AUD had a 7.5 times higher risk of death compared with T2DM patients.

Conclusions:

This study identified rather similar comorbidity status for the AUD and T2DM patients, but their HSU patterns differed noticeably. AUD patients had higher frequencies of hospitalisation periods and emergency service use and were at a higher risk of death compared with T2DM patients, indicating greater challenges in the organisation of care for AUD patients compared with those having T2DM.

Racial/ethnic and socioeconomic disparities in the use of newer diabetes medications in the Look AHEAD study

Background

Among patients with type 2 diabetes, minority racial/ethnic groups have a higher burden of cardiovascular disease, chronic kidney disease, and hypoglycaemia. These groups may especially benefit from newer diabetes medication classes, but high cost may limit access. We examined the association of race/ethnicity with the initiation of newer diabetes medications (GLP-1 receptor agonists, DPP-4 inhibitors, SGLT-2 inhibitors).

Methods

We conducted a secondary analysis of the Look AHEAD (Action for Health in Diabetes) trial including participants with at least one study visit after April 28, 2005. Cox proportional hazards models were used to estimate the association between race/ethnicity and socioeconomic factors with time to initiation of any newer diabetes medication from April 2005 to February 2020. Models were adjusted for demographic and clinical characteristics.

Findings

Among 4,892 participants, 63.6%, 15.7%, 12.6%, 5.2%, and 2.9% were White, Black, Hispanic, American Indian or Alaskan Native (AI/AN), or other race/ethnicity, respectively. During a median follow-up of 8.3 years, 2,180 (45.2%) participants were initiated on newer diabetes medications. Race/ethnicity was associated with newer diabetes medication initiation (p=.019). Specifically, initiation was lower among Black (HR 0.81, 95% CI 0.70 -0.94) and AI/AN participants (HR 0.51, 95% CI 0.26-0.99). Yearly family income was inversely associated with initiation of newer diabetes medications (HR 0.78, 95% CI 0.62-0.98) comparing the lowest and highest income groups. Findings were mostly driven by GLP-1 receptor agonists.

Interpretation

These findings provide evidence of racial/ethnic disparities in the initiation of newer diabetes medications, independent of socioeconomic factors, which may contribute to worse health outcomes.

Socioeconomic Factors Associated With Glycemic Measurement and Poor HbA1c Control in People With Type 2 Diabetes: The Global DISCOVER Study

DISCOVER is a 3-year observational study program of 15,983 people with type 2 diabetes initiating second-line glucose-lowering therapy in 38 countries. We investigated the association between socioeconomic status and both the availability of a baseline glycated hemoglobin (HbA1c) measurement and poor glycemic control (HbA1c level ≥ 9.0%) in participants enrolled in DISCOVER. Factors associated with a lack of baseline HbA1c measurement or an HbA1c level ≥ 9.0% were assessed using three-level hierarchical logistic models. Overall, 19.1% of participants did not have a baseline HbA1c measurement recorded. Lower-middle country income (vs. high) and primary/no formal education (vs. university education) were independently associated with a reduced likelihood of having a baseline HbA1c measurement (odds ratio [95% confidence interval]: 0.11 [0.03-0.49] and 0.81 [0.66-0.98], respectively. Of the participants with an available HbA1c measurement, 26.9% had an HbA1c level ≥ 9.0%; 68.7% of these individuals were from lower- or upper-middle-income countries. Factors associated with an increased likelihood of poor glycemic control included low country income, treatment at a site with public and/or governmental funding (vs. private funding) and having public or no health insurance (vs. private). A substantial proportion of DISCOVER participants did not have an HbA1c measurement; more than one-quarter of these participants had poorly controlled type 2 diabetes. Both individual- and country-level socioeconomic factors are associated with the quality of care regarding glycemic control. Awareness of these factors could help improve the management of patients with type 2 diabetes.

Effect of COVID-19 pandemic on glycaemic monitoring and other processes of care in Type 2 Diabetes: Protocol for a retrospective cohort study (Preprint)

Background

Social distancing and other nonpharmaceutical interventions to reduce the spread of COVID-19 infection in the United Kingdom have led to substantial changes in delivering ongoing care for patients with chronic conditions, including type 2 diabetes mellitus (T2DM). Clinical guidelines for the management and prevention of complications for people with T2DM delivered in primary care services advise routine annual reviews and were developed when face-to-face consultations were the norm. The shift in consultations from face-to-face to remote consultations caused a reduction in direct clinical contact and may impact the process of care for people with T2DM.

Objective

The aim of this study is to explore the impact of the COVID-19 pandemic’s first year on the monitoring of people with T2DM using routine annual reviews from a national primary care perspective in England.

Methods

A retrospective cohort study of adults with T2DM will be performed using routinely collected primary care data from the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC). We will describe the change in the rate of monitoring of hemoglobin A_1c (HbA_1c) between the first year of the COVID-19 pandemic (2020) and the preceding year (2019). We will also report any change in the eight checks that make up the components of these reviews. The change in HbA_1c monitoring rates will be determined using a multilevel logistic regression model, adjusting for patient and practice characteristics, and similarly, the change in a composite measure of the completeness of all eight checks will be modeled using ordinal regression. The models will be adjusted for the following patient-level variables: age, gender, socioeconomic status, ethnicity, COVID-19 shielding status, duration of diabetes, and comorbidities. The model will also be adjusted for the following practice-level variables: urban versus rural, practice size, Quality and Outcomes Framework achievement, the National Health Service region, and the proportion of face-to-face consultations. Ethical approval was provided by the University of Oxford Medical Sciences Interdivisional Research Ethics Committee (September 2, 2021, reference R77306/RE001).

Results

The analysis of the data extract will include 3.96 million patients with T2DM across 700 practices, which is 6% of the available Oxford-RCGP RSC adult population. The preliminary results will be submitted to a conference under the domain of primary care. The resulting publication will be submitted to a peer-reviewed journal on diabetes and endocrinology.

Conclusions

The COVID-19 pandemic has impacted the delivery of care, but little is known about the process of caring for people with T2DM. This study will report the impact of the COVID-19 pandemic on these processes of care.

International Registered Report Identifier (IRRID)

DERR1-10.2196/35971

"It Is a Full-time Job to Be Ill": Patient Work Involved in Attending Formal Diabetes Care Among Socially Vulnerable Danish Type 2 Diabetes Patients

Previous research has shown social inequality in type 2 diabetes prevalence and that socially vulnerable type 2 diabetes patients benefit less than average from health services. Based on ethnographic fieldwork carried out between February 2017 and March 2018 in a Danish specialized outpatient clinic, this article focuses on patient work among socially vulnerable type 2 diabetes patients. Through attending to the border zone between formal health care and self-care, we show that patients do a lot of work requiring skills, resources, and initiative, to access and benefit from formal care. This work is complex and implicit in the organization of care. Patients' social situations, especially their employment situation, complicate getting patient work done. Attending to patient work and implicit tasks in care organization may help us to see how social inequality in type 2 diabetes outcomes develops, and may be combated.

Exploring equity in accessing diabetes management treatment: A healthcare gap analysis

Healthcare inequities are often investigated empirically as associations between socio-economic characteristics and differences between observed healthcare utilisation and estimates of needs-based utilisation. However, the concept of 'need' is tricky to operationalise and utilisation may be contingent on inequities arising at an earlier stage. In this study, we apply a unique combination of register and survey data collected in 2019 to assess equity in opportunities to access treatment for patients with recently diagnosed type 2 diabetes. In the study of this population (N = 1864) we escape the challenge of estimating needs by arguing that need can be approximated from treatment guidelines within a nationwide framework of disease management programmes. Furthermore, instead of observed utilisation we use patient reports on whether they have been offered treatment as a measure of opportunities to access multiple components of care, that is, we focus on possible inequalities arising prior to possible utilisation inequalities. 'Healthcare gaps' are computed as the discrepancy between an index of guideline recommended treatments and patients' perceived offers of treatments, thus providing a novel take on the 'healthcare deprivation profiles' approach to the study of healthcare inequalities. Using this method, we explore and document inequalities along multiple dimensions of familiar socio-economic factors (income, education, occupation) as well as self-reported barriers to access. We also provide supporting evidence that healthcare gaps, as measured in our study, are associated with poorer quality of care, and that those who experience large gaps are more likely to be disadvantaged in terms of self-reported difficulties in relation to key self-care aspects. We conclude that even in a health system with comprehensive universal coverage, healthcare inequity can arise already at the stage of offering access to preventive treatment. The results warrant further research into the causes, consequences and remedies of such inequities.

A Review of Interventional Trials in Youth-Onset Type 2 Diabetes: Challenges and Opportunities

INTRODUCTION

In recent decades, the dramatic rise of obesity among youth in the US has been accompanied by a rise in the prevalence of type 2 diabetes (T2D) in this population. This alarming trend underscores the importance of conducting trials to evaluate new therapies in children with T2D.

METHODS

A targeted review of peer-reviewed literature and trials registered on www.clinicaltrials.gov was conducted in January 2021 to identify pharmaceutical interventional studies in youth with T2D. Information regarding enrollment data, study design elements, subjects' baseline characteristics, and key treatment outcomes was documented.

RESULTS

Among the 16 clinical studies included in this review, only five appeared to meet projected enrollment targets in < 4 years. Although three other studies met recruitment targets, two took approximately 5 years to complete and the third took nearly 10 years.

CONCLUSIONS

Despite legislation requiring evaluation of pharmaceutical treatments in pediatric populations, surprisingly few interventional studies have been conducted in children with T2D. This review highlights that recruitment challenges may be impeding the conduct and completion of interventional studies. Consequently, few pharmaceutical treatments have been proven to be effective and approved for children with T2D. Metformin and liraglutide remain the only non-insulin treatments formally approved in the US for use in this population. More clinical research is needed to support regulatory decision-making as well as treatment decisions for children with T2D in clinical settings. Sponsors and investigators will need to implement strategies for improving trial enrollment as well as work with regulatory agencies to develop novel study designs that may require fewer patients.

Socioeconomic status and diabetic retinopathy in India

Socioeconomic status (SES) may influence the general health and the health-seeking behavior of an individual. Understanding the disease prevalence in different social strata may lead us to the important linkages that SES might have with diabetic retinopathy (DR). The knowledge on the prevalence of DR in the community based on their SES may help design strategies to provide affordable, last-mile care to the population most at risk of this blinding complication of diabetes mellitus. Our systematic search for population-based Indian studies found three studies in the past three decades that evaluated the effect of socioeconomic factors on the prevalence of diabetic retinopathy. The data on the prevalence in various socioeconomic strata was equivocal and the study settings were mostly urban. The parameters used to assess the SES differed among studies. This underscores the need for further research on SES-related diabetic retinopathy complications in India. Future studies should employ more robust socioeconomic scales to define the divide better.

Quality criteria/key components for high quality of diabetes management to avoid diabetes-related complications

Aim

The aim of this review shoud be to map data and to identify quality indicators for good practices for diabetes management and secondary prevention, specifically of type 2 diabetes.

Methods

To achieve this aim we performed the following steps: (i) a literature review on evaluation criteria, (ii) selection of quality criteria and key components for high quality of care, (iii) creation of a checklist to identify the best practice of diabetes management based on the detected criteria.

Results

The literature search about the quality indicators for diabetes care resulted in the following: identifying of key components and quality indicators for structure, process and outcome quality.

Conclusions

The set of quality criteria will be discussed and used to identify the best practice diabetes management programs for secondary prevention of type 2 diabetes.

Inequalities in glycemic management in people living with type 2 diabetes mellitus and severe mental illnesses: cohort study from the UK over 10 years

INTRODUCTION

Using data from a a primary care pay-for-performance scheme targeting quality indicators, the objective of this study was to assess if people living with type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMI) experienced poorer glycemic management compared with people living with T2DM alone, and if observed differences varied by race/ethnicity, deprivation, gender, or exclusion from the scheme.

RESEARCH DESIGN AND METHODS

Primary care data from a cohort of 56 770 people with T2DM, including 2272 people with T2DM and SMI, from London (UK), diagnosed between January 17, 2008 and January 16, 2018, were used. Adjusted mean glycated hemoglobin (HbA1c) and HbA1c differences were assessed using multilevel regression models.

RESULTS

Compared with people with T2DM only, people with T2DM/SMI were more likely to be of an ethnic minority background, excluded from the pay-for-performance scheme and residing in more deprived areas. Across the sample, mean HbA1c was lower in those with T2DM and SMI (mean HbA1c: 58 mmol/mol; 95% CI 57 to 59), compared with people with T2DM only (mean HbA1c: 59 mmol/mol; 95% CI 59 to 60). However, HbA1c levels were greater in Bangladeshi, Indian, Pakistani, and Chinese people compared with the White British reference in the T2DM/SMI group. People with T2DM/SMI who had been excluded from the pay-for-performance scheme, had HbA1c levels which were +7 mmol/mol (95% CI 2 to 11) greater than those with T2DM/SMI not excluded. Irrespective of SMI status, increasing deprivation and male gender were associated with increased HbA1c levels.

CONCLUSIONS

Despite a pay-for-performance scheme to improve quality standards, inequalities in glycemic management in people with T2DM and SMI persist in those excluded from the scheme and by gender, ethnicity, and area-level deprivation.

Socioeconomic status is not associated with the delivery of care in people with diabetes but does modify HbA1c levels: An observational cohort study (Elzha-cohort 1)

BACKGROUND

Structured primary diabetes care within a collectively supported setting is associated with better monitoring of biomedical and lifestyle-related target indicators amongst people with type 2 diabetes and with better HbA1c levels. Whether socioeconomic status affects the delivery of care in terms of monitoring and its association with HbA1c levels within this approach, is unclear. This study aims to understand whether, within a structured care approach, (1) socioeconomic categories differ concerning diabetes monitoring as recommended; (2) socioeconomic status modifies the association between monitoring as recommended and HbA1c.

METHODS

Observational real-life cohort study with primary care registry data from general practitioners within diverse socioeconomic areas, who are supported with the implementation of structured diabetes care. People with type 2 diabetes mellitus were offered quarterly diabetes consultations. "Monitoring as recommended" by professional guidelines implied minimally one annual registration of HbA1c, systolic blood pressure, LDL, BMI, smoking behaviour and physical activity. Regarding socioeconomic status, deprived, advantageous urban and advantageous suburban categories were compared to the intermediate category concerning (a) recommended monitoring; (b) association between recommended monitoring and HbA1c.

RESULTS

Aim 1 (n = 13 601 people): Compared to the intermediate socioeconomic category, no significant differences in odds of being monitored as recommended were found in the deprived (OR 0.45 (95% CI 0.19-1.08)), advantageous urban (OR 1.27 (95% CI 0.46-3.54)) and advantageous suburban (OR 2.32 (95% CI 0.88-6.08)) categories. Aim 2 (n = 11 164 people): People with recommended monitoring had significantly lower HbA1c levels than incompletely monitored people (-2.4 (95% CI -2.9; -1.8) mmol/mol). SES modified monitoring-related HbA1c differences, which were significantly higher in the deprived (-3.3 (95% CI -4.3; -2.4) mmol/mol) than the intermediate category (-1.3 (95% CI -2.2; -0.4) mmol/mol).

CONCLUSIONS

Within a structured diabetes care setting, socioeconomic status is not associated with recommended monitoring. Socioeconomic differences in the association between recommended monitoring and HbA1c levels advocate further exploration of practice and patient-related factors contributing to appropriate monitoring and for care adjustment to population needs.

Factors Influencing Healthcare Experience of Patients with Self-Declared Diabetes: A Cross-Sectional Population-Based Study in the Basque Country

Background: Diabetes affects more than 400 million people around the world. Few published studies incorporate questionnaires that comprehensively cover every aspect of a patient’s experience of healthcare. This study analyzes potential differences in the healthcare experience for patients with diabetes based on their sociodemographic, economic, and health-related characteristics from a comprehensive viewpoint in an integrated delivery system. Methods: We used data from the 2018 Basque Health Survey, which includes a questionnaire for the measurement of the experiences of patients with chronic problems. We present descriptive and regression analyses to explore differences by sociodemographic, economic, and health-related characteristics of patients’ experiences with different healthcare services. Results: Having diabetes plus other comorbidities significantly decreases the quality of the experience with all healthcare services and decreases the global healthcare experience score. When comorbidities are present, the elderly seem to report better experiences than younger patients. Some differences in experience can be explained by sociodemographic and economic factors. No differences exist between conditions co-occurring with diabetes. Conclusion: Patients with diabetes who also suffer from other conditions report worse experiences than individuals who suffer from diabetes only. No specific conditions explain the differences in care experience.

Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

OBJECTIVE

To estimate the prevalences of hypertension and diabetes for small areas in Belo Horizonte, according to the Health Vulnerability Index (HVI).

METHODS

Ecological study with data from the Surveillance of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel) conducted in Belo Horizonte, from 2006 to 2013. The self-reported diagnosis of diabetes and hypertension were evaluated. The estimates of prevalence and the 95% confidence interval (95%CI) were calculated using the direct and indirect method by HVI grouped into four categories: low, medium, high and very high health risk.

RESULTS

During the period evaluated, 26% (95%CI 25.2 - 26.8) and 6.1% (95%CI 6.7 - 6.5) of the adult population from Belo Horizonte reported being hypertensive and diabetic, respectively. According to the indirect method to obtain estimates of hypertension and diabetes prevalences per HVI, it was found that areas of very high risk had a higher prevalence of adults with hypertension (38.6%; 95%CI 34.8 - 42.4) and diabetes (16.2%; 95%CI 13.1 - 19.3) when compared to the low risk (28.2%; 95%CI 27.0 - 29.4 and 6%; 95%CI 5.4 - 6.7, respectively).

CONCLUSION

The adult population living in areas at high risk for health had a higher prevalence of hypertension and diabetes compared to those with a lower risk.

Socioeconomic Status and Psychosocial Resources Mediate Racial/Ethnic Differences in Psychological Health Among Gay and Bisexual Men: A Longitudinal Analysis Using Structural Equation Modeling

A large body of research demonstrates disparities in psychological health attributed to sexual minority identity, racial/ethnic minority identity, and socioeconomic status (SES). Fewer studies have explicated the role of these multiple attributes on psychological health and explored the role of SES and psychosocial resources in determining outcomes. We analyzed data from Project STRIDE, a longitudinal survey involving a diverse sample of gay and bisexual adult men (n = 198). Using structural equation modeling, we tested hypothesized direct and indirect effects of race/ethnicity, SES, and three psychosocial mediational variables (collective self-efficacy, everyday discrimination, internalized homophobia) on two outcome variables-psychological and social well-being-assessed at 1-year follow-up. Our model indicated that: (1) race/ethnicity and SES were significantly associated with each other and with each psychosocial mediator; (2) higher SES was directly and indirectly associated with both measures of well-being; and (3) collective self-esteem and everyday discrimination mediated the association between SES and both measures of well-being. The model also indicated that racial/ethnic associations with psychological mediators and outcomes are evident in the context of SES, but these effects might be suppressed when the model does not consider SES. Findings highlight the critical role of SES and race/ethnicity in determining the psychological and social well-being of sexual minority men. Specification of mediating variables-collective self-efficacy, everyday discrimination, internalized homophobia-indicates potential intervention targets to improve psychological and social health in sexual minority men. Associations between race/ethnicity and SES support the need for intersectional frameworks in addressing the health of sexual minority men.

Influencing Indicators and Spatial Variation of Diabetes Mellitus Prevalence in Shandong, China: A Framework for Using Data-Driven and Spatial Methods

To control and prevent the risk of diabetes, diabetes studies have identified the need to better understand and evaluate the associations between influencing indicators and the prevalence of diabetes. One constraint has been that influencing indicators have been selected mainly based on subjective judgment and tested using traditional statistical modeling methods. We proposed a framework new to diabetes studies using data-driven and spatial methods to identify the most significant influential determinants of diabetes automatically and estimated their relationships. We used data from diabetes mellitus patients' health insurance records in Shandong province, China, and collected influencing indicators of diabetes prevalence at the county level in the sociodemographic, economic, education, and geographical environment domains. We specified a framework to identify automatically the most influential determinants of diabetes, and then established the relationship between these selected influencing indicators and diabetes prevalence. Our autocorrelation results showed that the diabetes prevalence in 12 Shandong cities was significantly clustered (Moran's I = 0.328, p < 0.01). In total, 17 significant influencing indicators were selected by executing binary linear regressions and lasso regressions. The spatial error regressions in different subgroups were subject to different diabetes indicators. Some positive indicators existed significantly like per capita fruit production and other indicators correlated with diabetes prevalence negatively like the proportion of green space. Diabetes prevalence was mainly subjected to the joint effects of influencing indicators. This framework can help public health officials to inform the implementation of improved treatment and policies to attenuate diabetes diseases.

Concentration/activity of superoxide dismutase isozymes and the pro-/antioxidative status, in context of type 2 diabetes and selected single nucleotide polymorphisms (genes: INS, SOD1, SOD2, SOD3) - Preliminary findings

The alterations in concentration/activity of superoxide dismutase isozymes in the context of type 2 diabetes or obesity are well-described. Moreover, many hereditary factors, including single-nucleotide polymorphisms (SNPs) of genes for coding insulin, insulin receptors, or insulin receptor substrates (INS, INSR, IRS1, IRS2) or superoxide dismutase isozymes (SOD1, SOD2, SOD3), have been linked with the incidence of obesity and diabetes. However, the underlying changes in the plasma concentration/activity of superoxide dismutase isozymes and their potential connection with the said hereditary factors remain unexplored. Previously, we have observed that the plasma concentration/activity of superoxide dismutase isozymes differs in the context of obesity and/or rs2234694 (SOD1) and rs4880 (SOD2) and that the concentrations of SOD1, SOD2, SOD3 are correlated with each other. Intersexual variability of SOD1 concentration was detected regardless of obesity. In this study, the variability of concentration/activity of superoxide dismutase isozymes in plasma is considered in the context of type 2 diabetes and/or SNPs: rs2234694 (SOD1), rs5746105 (SOD2), rs4880 (SOD2), rs927450 (SOD2), rs8192287 (SOD3). Genotypic variability of SNP rs3842729 (INS), previously studied in the context of insulin-dependent diabetes, is investigated in terms of selected clinical parameters associated with type 2 diabetes. This study revealed higher SOD1 concentration in diabetic men compared to women, and extremely high SOD1 concentration, higher total superoxide dismutase, and copper-zinc superoxide dismutase activity, and lower superoxide dismutase and copper-zinc superoxide dismutase activity (when adjusted for the concentration of SODs) in the diabetic group regardless of sex. Multiple logistic regression, applied to explore possible links between the studied SNPs and other factors with the odds of type 2 diabetes or obesity, revealed that the genotypic variability of rs4880 (SOD2) could affect these odds, supporting the findings of several other studies.

Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis

Diabetes-Related Preventable Hospitalization (DRPH) has been identified as an important indicator of efficiency and quality of the health system and can be modified by social determinants. However, the spatial disparities, clustering, and relationships between DRPH and social determinants have rarely been investigated. Accordingly, this study examined the association of DRPH with area deprivation, densities of certificated diabetes health-promoting clinics (DHPC) and hospitals (DHPH), and the presence of elderly social services (ESS) using both statistical and spatial analyses. Data were obtained from the 2010-2016 National Health Insurance Research Database (NHIRD) and government open data. Township-level ordinary least squares (OSL) and geographically weighted regression (GWR) were conducted. DRPH rates were found to be negatively associated with densities of DHPC (β = -66.36, p = 0.029; 40.3% of all townships) and ESS (β = -1.85, p = 0.027; 28.4% of all townships) but positively associated with area deprivation (β = 2.96, p = 0.002; 25.6% of all townships) in both OLS and GWR models. Significant relationships were found in varying areas in the GWR model. DRPH rates are high in townships of Taiwan that have lower DHPC densities, lower ESS densities, and greater socioeconomic deprivation. Spatial analysis could identify areas of concern for potential intervention.