The Association between Social Determinants of Health and Self-Reported Diabetic Retinopathy: An Exploratory Analysis

Association Between Sociodemographic Factors and Self-Reported Diabetic Retinopathy: A Cross-sectional, Population-Based Analysis

PURPOSE

This study aimed to investigate the relationship between sociodemographic and healthcare access factors with self-reported diabetic retinopathy (DR) prevalence in a nationally representative sample of the United States.

DESIGN

This is a population based, cross-sectional analysis.

METHODS

Data from those who answered the question, "Have you ever been told by a doctor or other health professional that you had diabetic retinopathy?" from the 2017 National Health Interview Survey (NHIS) was analyzed through logistic regression to examine the association between DR prevalence and social determinants of health (SDH).

RESULTS

Of 26,966 eligible NHIS respondents (81.4%), 26,699 participants answered the DR question, of whom 266 (1.0%) self-reported a DR diagnosis. Multivariable analysis found a significant association between DR prevalence and the following social determinants of health:, poorer health status (OR = 5.9; 95% CI = 3.6-9.7; P < .001), disability (OR 2.1; 95% CI 1.3-3.2; P = .001), no employment status (OR = 1.8; 95% CI = 1.2-2.9; P = .009), and living in Southern regions of the US (OR = 1.9; 95% CI = 1.1-3.3; P = .020). Not having a usual place for healthcare (OR 0.3; 95% CI 0.1-0.7; P = .006) and female sex (OR = 0.6; 95% CI = 0.4-0.8; P = .002) were negatively associated with self-reported DR prevalence.

CONCLUSION

Multiple sociodemographic factors are associated with self-reported DR prevalence. Health care providers and policymakers should tailor future interventions to address SDH in a holistic model of DR screening and care.

Social Risk Groups in Patients With Diabetes With Differing Eye Care Utilization and Vision Outcomes

Purpose

To evaluate whether latent class analysis on social determinants of health (SDoH) data can identify social risk groups that differ by adverse SDoH and vision outcomes in patients with diabetes.

Methods

This was a prospective cohort study of adults ≥18 years with diabetes who completed a SDoH survey. Latent class analysis was used to cluster patients into social risk groups. The association of social risk group and severity of diabetic retinopathy, history of lapses in diabetic retinopathy care, and visual acuity was evaluated.

Results

A total of 1006 participants were included. The three social risk groups differed by sociodemographic characteristics. The average age was 65, 60, and 54 in Groups 1, 2, and 3 respectively. Most (51%) patients in group 1 were non-Hispanic White, 66% in group 2 were non-Hispanic Black, and 80% in group 3 were Hispanic. Group 1 had the lowest burden of adverse SDoH per person (average 3.6), group 2 had 8.2, and group 3 had 10.5. In general, group 1 lacked diabetic retinopathy knowledge, group 2 had financial insecurity and difficulties with transportation, and group 3 had financial insecurity and did not have health insurance. Social risk group was associated with a history of lapses in diabetic retinopathy care, and presenting with worse vision.

Conclusions and Translational Relevance

We identified distinct social risk groups among patients seeking care for diabetic retinopathy that differed by social needs, eye care utilization, and vision. Identifying these groups and their specific needs can help guide interventions to effectively address adverse SDoH and improve eye care utilization and vision outcomes among patients with diabetes.

The Impact of Social Determinants of Health on Eye Care Utilization in a National Sample of People with Diabetes

PURPOSE

To evaluate the association of social determinants of health (SDoH) with eye care utilization among people with diabetes mellitus using the 2013-2017 National Health Interview Survey (NHIS).

DESIGN

Retrospective cross-sectional study.

PARTICIPANTS

Participants ≥ 18 years of age with self-reported diabetes.

METHODS

The SDoH in the following domains were used: (1) economic stability; (2) neighborhood, physical environment, and social cohesion; (3) community and social context; (4) food environment; (5) education; and (6) health care system. An aggregate SDoH score was calculated and divided into quartiles, with Q4 representing those with the highest adverse SDoH burden. Survey-weighted multivariable logistic regression models evaluated the association of SDoH quartile with eye care utilization in the preceding 12 months. A linear trend test was conducted. Domain-specific mean SDoH scores were calculated, and the performance of domain-specific models was compared using area under the curve (AUC).

MAIN OUTCOME MEASURE

Eye care utilization in the preceding 12 months.

RESULTS

Of 20 807 adults with diabetes, 43% had not used eye care. Greater adverse SDoH burden was associated with decrements in odds of eye care utilization (P < 0.001 for trend). Participants in the highest quartile of adverse SDoH burden (Q4) had a 58% lower odds (odds ratio [OR], 0.42; 95% confidence interval [CI], 0.37-0.47) of eye care utilization than those in Q1. The domain-specific model using economic stability had the highest performing AUC (0.63; 95% CI, 0.62-0.64).

CONCLUSIONS

Among a national sample of people with diabetes, adverse SDoH were associated with decreased eye care utilization. Evaluating and intervening upon the effects of adverse SDoH may be a means by which to improve eye care utilization and prevent vision loss.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Association Between Educational Status and Mortality According to Diabetes Status Among US Adults

Objective

To examine differences in the association between educational attainment and mortality by the presence of diabetes and diabetic retinopathy (DR)-a major complication of diabetes.

Patients and Methods

We used a nationally representative sample of 54,924 US adults aged 20 years or older with diabetes from the National Health and Nutrition Examination Survey 1999-2018 and its mortality data through 2019. We applied the multivariable Cox proportional hazard models to investigate the associations between educational attainment (low, less than high school; middle, high school; and high, more than high school) and all-cause mortality according to diabetes status: nondiabetes, diabetes without DR, and diabetes with DR. Differences in the survival rate by educational attainment were evaluated using the slope inequality index (SII).

Results

Among the 54,924 participants (mean age, 49.9 years), adults in the low educational group reported an increased risk of all-cause mortality compared with those of the high educational group in any diabetes status (nondiabetes-hazard ratio [HR], 1.69; 95% CI, 1.56-1.82; diabetes without DR-HR, 1.61; 95% CI, 1.37-1.90; diabetes with DR-HR, 1.43; 95% CI, 1.10-1.86). SIIs among the diabetes without DR group and diabetes with DR group were 22.17 and 20.87 per 1000 person-years, respectively, which were 2 times greater than those among the nondiabetes group (SII=9.94).

Conclusion

The differences in the mortality risks owing to the educational attainment increased by the presence of diabetes regardless of the complication of DR. Our findings indicate that prevention of diabetes itself is critical to mitigate health disparities by socioeconomic status such as education status.

Social and racial inequalities in diabetes and cancer in the United States

Background

Cancer and diabetes are among the leading causes of morbidity and mortality worldwide. Several studies have reported diabetes as a risk factor for developing cancer, a relationship that may be explained by associated factors shared with both diseases such as age, sex, body weight, smoking, and alcohol consumption. Social factors referred to as social determinants of health (SDOH) were shown to be associated with the risk of developing cancer and diabetes. Despite that diabetes and social factors were identified as significant determinants of cancer, no studies examined their combined effect on the risk of developing cancer. In this study, we aim at filling this gap in the literature by triangulating the association between diabetes, indices of SDOH, and the risk of developing cancer.

Methods

We have conducted a quantitative study using data from the Behavioral Risk Factor Surveillance System (BRFSS), whereby information was collected nationally from residents in the United States (US) with respect to their health-related risk behaviors, chronic health conditions, and the use of preventive services. Data analysis using weighted regressions was conducted on 389,158 study participants.

Results

Our findings indicated that diabetes is a risk factor that increases the likelihood of cancer by 13% (OR 1.13; 95%CI: 1.05-1.21). People of White race had higher odds for cancer compared to African Americans (OR 0.44; 95%CI: 0.39-0.49), Asians (OR 0.27; 95%CI: 0.20-0.38), and other races (OR 0.56; 95%CI: 0.46-0.69). The indices of SDOH that were positively associated with having cancer encompassed unemployment (OR 1.78; 95%CI: 1.59-1.99), retirement (OR 1.54; 95%CI: 1.43-1.67), higher income levels with ORs ranging between 1.16-1.38, college education (OR 1.10; 95%CI: 1.02-1.18), college graduates (OR 1.31; 95%CI: 1.21-1.40), and healthcare coverage (OR 1.44; 95%CI: 1.22-1.71). On the other hand, the indices of SDOH that were protective against having cancer were comprised of renting a home (OR 0.86; 95%CI: 0.79-0.93) and never married (OR 0.73; 95%CI: 0.65-0.81).

Conclusion

This study offers a novel social dimension for the association between diabetes and cancer that could guide setting strategies for addressing social inequities in disease prevention and access to healthcare.

Diabetic retinopathy in African-Americans with end-stage kidney disease: a cross-sectional study on prevalence and impact on quality of life

INTRODUCTION

The prevalence, severity, and quality of life (QoL) impact of diabetic retinopathy (DR) among African-Americans (AAs) with end-stage kidney disease (ESKD) undergoing dialysis are unknown.

RESEARCH DESIGN AND METHODS

A cross-sectional study was conducted on 93 AA adults with diabetes and ESKD. The diagnosis of DR was based on a review of medical records and/or a positive photograph with a portable hand-held device reviewed by both artificial intelligence software and a retinal specialist. QoL, physical disability social determinants of health (SDoHs) were assessed by standardized questionnaires.

RESULTS

The prevalence of DR was 75%, with 33% of participants having mild, 9.6% moderate and 57.4% severe DR. A total of 43% had normal visual acuity; 45% had moderate visual impairment; and 12% had severe visual impairment. We found a high burden of disease, multiple SDoH challenges, and low QoL and general health among patients with ESKD. The presence of DR had no significant impact on physical health and QoL compared with participants without DR.

CONCLUSIONS

DR is present in 75% of AA patients with diabetes and ESKD on haemodialysis. ESKD has a significant burden on general health and QoL; however, DR has a minor additional impact on the overall physical health and QoL in people with ESKD.

Current social determinants of health and social risk factors in conditions of the cornea: a scoping review

PURPOSE OF REVIEW

To achieve health equity in eye health and vision care, social determinants of health (SDoH) and the associated social risk factors must be addressed. To address SDoH and social risk factors in ophthalmology, they must first be identified. The purpose of this review was to determine the SDoH and social risk factors in conditions of the cornea that have most recently been explored.

RECENT FINDINGS

This review identified social risk factors associated with all five domains of SDoH, as outlined by Healthy People 2030. The neighborhood and built environment was the domain identified the most for both exploration and observation. The social and community context domain was the least explored, and healthcare access and quality and social and community context domains were the least observed. The cornea condition explored the most in relation to SDoH was dry eye syndrome.

SUMMARY

The findings from this review can inform clinicians on the social risk factors that could be screened for in eye care facilities, so patients can be connected with services to minimize the impact of social risk factors on cornea conditions. Furthermore, the findings have identified cornea conditions and domains of SDoH that are understudied which can be an area for future studies by vision researchers.

Association Between Social Determinants of Health and Examination-Based Vision Loss vs Self-reported Vision Measures

Importance

Recent evidence suggests that social determinants of health (SDOH) affect vision loss, but it is unclear whether estimated associations differ between clinically evaluated and self-reported vision loss.

Objective

To identify associations between SDOH and evaluated vision impairment and to assess whether these associations hold when examining self-reported vision loss.

Design, Setting, and Participants

This population-based cross-sectional comparison included participants 12 years and older in the 2005 to 2008 National Health and Nutrition Examination Survey (NHANES), participants of all ages (infants and older) in the 2019 American Community Survey (ACS), and adults 18 years and older in the 2019 Behavioral Risk Factor Surveillance System (BRFSS).

Exposures

Five domains of SDOH that are based on Healthy People 2030: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context.

Main Outcomes and Measures

Presenting vision impairment of 20/40 or worse in the better-seeing eye (NHANES) and self-reported blindness or serious difficulty seeing, even with glasses (ACS and BRFSS).

Results

Of 3 649 085 included participants, 1 873 893 were female (51.1%) and 2 504 206 were White (64.4%). SDOH across domains of economic stability, educational attainment, health care access and quality, neighborhood and built environment, and social context were significant predictors of poor vision. For example, higher income (poverty to income ratio [NHANES]: OR, 0.91; 95% CI, 0.85-0.98; [ACS]: OR, 0.93; 95% CI, 0.93-0.94; categorical income [BRFSS:<$15 000 reference]: $15 000-$24 999; OR, 0.91; 95% CI, 0.91-0.91; $25 000-$34 999: OR, 0.80; 95% CI, 0.80-0.80; $35 000-$49 999: OR, 0.71; 95% CI, 0.71-0.72; ≥$50 000: OR, 0.49; 95% CI, 0.49-0.49), employment (BRFSS: OR, 0.66; 95% CI, 0.66-0.66; ACS: OR, 0.55; 95% CI, 0.54-0.55), and owning a home (NHANES: OR, 0.85; 95% CI, 0.73-1.00; BRFSS: OR, 0.82; 95% CI, 0.82-0.82; ACS: OR, 0.79; 95% CI, 0.79-0.79) were associated with lower odds of vision loss. The study team identified no differences in the general direction of the associations when using either clinically evaluated or self-reported vision measures.

Conclusions and Relevance

The study team found evidence that associations between SDOH and vision impairment track together when using either clinically evaluated or self-reported vision loss. These findings support the use of self-reported vision data in a surveillance system to track trends in SDOH and vision health outcomes within subnational geographies.

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases

Artificial intelligence (AI) applications in healthcare will have a potentially far-reaching impact on patient care, however issues regarding algorithmic bias and fairness have recently surfaced. There is a recognized lack of diversity in the available ophthalmic datasets, with 45% of the global population having no readily accessible representative images, leading to potential misrepresentations of their unique anatomic features and ocular pathology. AI applications in retinal disease may show less accuracy with underrepresented populations that may further widen the gap of health inequality if left unaddressed. Beyond disease symptomatology, social determinants of health must be integrated into our current paradigms of disease understanding, with the goal of more personalized care. AI has the potential to decrease global healthcare inequality, but it will need to be based on a more diverse, transparent and responsible use of healthcare data.

Inequities and Research Gaps in Ophthalmology: A Scoping Review

Importance

Deficient ophthalmologic care is costly to patients, making the identification of groups not receiving adequate care of vital importance. The current landscape of equity in ophthalmic care has yet to be thoroughly investigated and is important to ensure inclusivity and patient-centered care.

Objective

To perform a scoping review of the literature pertaining to health care inequities in the field of ophthalmology.

Evidence Review

A comprehensive database search using MEDLINE (via PubMed) and Ovid Embase was done in July 2022. English-language articles published from 2016 to 2021 were included and encompassed all article types except commentaries or correspondence. The search modeled the National Institutes of Health list of designated US health inequity populations, which includes income, education level, occupational status, rural and underresourced area, sex and gender, lesbian, gay, bisexual, transgender, and queer (LGBTQ) identity, and race and ethnicity. A total of 8170 abstracts and titles were screened by 2 independent investigators, and 189 studies were assessed in full text for eligibility. For inclusion, articles needed to be an ophthalmic study discussing health inequities. In a masked, duplicate fashion, 2 independent investigators screened 75 full-text studies for data extraction using a pilot-tested form. Data extraction included general publication characteristics and health inequity data based on the National Institutes of Health's defined inequity groups.

Findings

A total of 75 publications were included. Notable inequities were found among Black and Hispanic patients associated with negative ophthalmic outcomes and mixed associations regarding sex or gender. Overall, lower-income patients were more likely to have vision impairment, use eye care services less, and have lower adherence to eye examinations. No articles within our sample examined LGBTQ inequities among ophthalmology patients since the 2016 National Institutes of Health classification of sexual and gender minority populations. Substantial research gaps were observed within the ophthalmic literature pertaining to the LGBTQ community, race and ethnicity, and rural and underresourced areas.

Conclusions and Relevance

This scoping review found substantial findings associated with the LGBTQ community, race and ethnicity, and the role of telemedicine in rural and underresourced areas. Because of the importance of ophthalmic care in overall patient health, it is vital to understand the various inequities present and strive to improve the current gaps in the literature. Future studies should (1) examine barriers to clinical study and medical trainee recruitment as well as patient values and preference studies and (2) investigate the implementation of telemedicine in underresourced areas.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

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.

The sociodemographic characteristics and social determinants of visual impairment in a homeless population in the Montreal area

OBJECTIVE

Homelessness is a serious social and public health concern in Canada. Individuals experiencing homelessness face numerous health problems and barriers in accessing health services. Visual impairment can exacerbate the lower quality of life experienced by people who are homeless, but its incidence among this population has been poorly documented in the literature. Our study aimed to describe health and sociodemographic characteristics and determine their association with visual impairment, ocular pathology and uncorrected refractive errors in a homeless population in Montreal, Canada.

METHODS

This cross-sectional study was conducted between May 2019 and September 2020 in eight homeless shelters selected using a stratified random sampling approach on the island of Montreal. An eye examination was performed on all participants, who were also administered a survey on social determinants of health. Descriptive analysis was used to analyze survey data, and logistic regression was used for each of the three study outcomes.

RESULTS

A total of 124 individuals experiencing homelessness (93 men, 31 women) were recruited. Participants were mostly Caucasian (> 70%) with an average age of 48 years (standard deviation = 13 years). Our sample reported a high level of education (68% had a high school diploma or higher), a high level of health insurance coverage (77%), social assistance benefits (71%), and social support (over 50%). There was a high prevalence of chronic conditions including diabetes (14%), hypertension (25%), and HIV/AIDS (3%). Results from eye examinations showed a high prevalence of visual impairment (22%), ocular pathology (23%), and uncorrected refractive error (75%). Age was statistically significantly associated with each outcome variable.

CONCLUSION

Despite a high level of social and health support, individuals experiencing homelessness in Montreal, Canada, experience high levels of chronic conditions and visual impairment. Our study highlights the unmet need for eye healthcare among homeless populations, and that eye health can be a unique entry point for intervening with homeless populations.

Social determinants of health impacting adherence to diabetic retinopathy examinations

INTRODUCTION

This study evaluates the association of multidimensional social determinants of health (SDoH) with non-adherence to diabetic retinopathy examinations.

RESEARCH DESIGN AND METHODS

This was a post-hoc subgroup analysis of adults with diabetes in a prospective cohort study of enrollees in the Washington, DC Medicaid program. At study enrollment, participants were given a comprehensive SDoH survey based on the WHO SDoH model. Adherence to recommended dilated diabetic retinopathy examinations, as determined by qualifying Current Procedural Terminology codes in the insurance claims, was defined as having at least one eye examination in the 2-year period following study enrollment.

RESULTS

Of the 8943 participants enrolled in the prospective study, 1492 (64% female, 91% non-Hispanic Black) were included in this post-hoc subgroup analysis. 47.7% (n=712) were adherent to the recommended biennial diabetic eye examinations. Not having a regular provider (eg, a primary care physician) and having poor housing conditions (eg, overcrowded, inadequate heating) were associated with decreased odds of adherence to diabetic eye examinations (0.45 (95% CI 0.31 to 0.64) and 0.70 (95% CI 0.53 to 0.94), respectively) in the multivariate logistic regression analysis controlling for age, sex, race/ethnicity, overall health status using the Chronic Disability Payment System, diabetes severity using the Diabetes Complications Severity Index, history of eye disease, and history of diabetic eye disease treatment.

CONCLUSIONS

A multidimensional evaluation of SDoH revealed barriers that impact adherence to diabetic retinopathy examinations. Having poor housing conditions and not having a regular provider were associated with poor adherence. A brief SDoH assessment could be incorporated into routine clinical care to identify social risks and connect patients with the necessary resources to improve adherence to diabetic retinopathy examinations.