Racial difference in diabetes preventive care

Development of an evidence- and consensus-based Digital Healthcare Equity Framework

Objective

To develop an evidence- and consensus-based Digital Healthcare Equity Framework (the Framework) that guides users in intentionally considering equity in healthcare solutions that involve digital technologies.

Materials and Methods

We conducted an environmental scan including a scoping review of the literature and key informant interviews with health equity and digital healthcare technology thought leaders and convened a technical expert panel (TEP).

Results

We grouped similar concepts from the scoping review and key informant interviews, synthesized them into several primary domains and subdomains, and presented the composite list of domains and subdomains to the TEP for their input. From those, we derived the following domains for the Framework: (1) Patient and Community Characteristics, (2) Health System Characteristics, and (3) Health Information Technology Characteristics. We structured the Framework around the following 5 phases of the digital healthcare lifecycle: planning, development, acquisition, implementation/maintenance, and monitoring/improvement/equity assessment.

Discussion

The proposed Framework is designed to specify the aspects that need to be considered in a systematic and intentional approach to ensure digital healthcare solutions improve, and not exacerbate, healthcare inequities.

Conclusion

The proposed Framework serves as a tool to help users and other stakeholders assess whether their healthcare solutions that involve digital technologies are equitable at every phase of the digital healthcare lifecycle.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study

BACKGROUND

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables.

RESULTS

There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs.

CONCLUSIONS

This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Patient attitudes, experiences, and satisfaction with healthcare and office visit utilization among Medicare beneficiaries with type 2 diabetes

OBJECTIVES

To examine patient attitudes, experiences, and satisfaction with healthcare associated with office visit utilization among Medicare beneficiaries with type 2 diabetes.

METHODS

We analyzed the 2019 Medicare Current Beneficiary Survey Public Use File of beneficiaries aged ≥65 years with type 2 diabetes (n = 1092). The ordinal dependent variable was defined as 0, 1 to 5, and ≥6 office visits. An ordinal partial proportional odds model was conducted to examine associations of beneficiaries' attitudes, experiences, and satisfaction with healthcare and office visit utilization.

RESULTS

Among the beneficiaries, approximately 17.7%, 22.8%, and 59.5% reported having 0, 1 to 5, and ≥6 office visits, respectively. Being male (OR = 0.67, p = 0.004), Hispanic (OR = 0.53, p = 0.006), divorced/separated (OR = 0.62, p = 0.038) and living in a non-metro area (OR = 0.53, p < 0.001) were associated with a lower likelihood of attending more office visits. Trying to keep sickness to themselves (OR = 0.66, p = 0.002) and dissatisfaction with the ease and convenience of getting to providers from home (OR = 0.45, p = 0.010) were associated with a lower likelihood of having more office visits.

DISCUSSION

The proportion of beneficiaries foregoing office visits is concerning. Attitudes concerning healthcare and transportation challenges can be barriers to office visits. Efforts to ensure timely and appropriate access to care should be prioritized for Medicare beneficiaries with diabetes.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019

BACKGROUND

Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications.

RESULTS

Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas.

CONCLUSIONS

Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.

Disparities in preventative diabetic foot examination

The objective of this study was to assess the overall differences in the standard of preventive foot care for patients at risk of diabetic foot ulceration and to identify specific demographic factors affecting these health care practices, including race and ethnicity. The National Health and Nutrition Examination Survey data for 2011 to 2018 were analyzed. Participants (20 years and older) with diabetes were categorized as White, Black, Hispanic, Asian, and others (including multiracial participants) based on self-reported race and ethnicity. The primary outcome was foot examination over the past year administered by a medical professional. Logistic regression was performed to examine the effects of race and ethnicity on the annual diabetic foot examination, controlling for age (65 years and older), gender, and health insurance status. Among the 2,836 participants included in the study (weighted percentage: 61.1% were White, 13.9% were Black, 15.1% were Hispanic, 5.4% were Asian, and 4.5% were other), 2,018 (weighted percentage: 71.6%) received annual diabetic foot examination over the past year. Hispanic participants (adjusted odds ratio [aOR] = 0.685; 95% CI, 0.52-0.90) were significantly less likely than White participants to receive an annual foot examination (Black participants: aOR = 1.11; 95% CI, 0.83-1.49; Asian participants: aOR = 0.80; 95% CI, 0.60-1.07; other participants: aOR = 0.66; 95% CI, 0.40-1.10). Factors associated with receipt of foot examination were age 65 years or older (aOR = 1.42; 95% CI, 1.05-1.92) and having health insurance (aOR = 3.02; 95% CI, 2.27-4.03). Our findings suggest that Hispanic adults with diabetes are receiving disproportionately lower rates of preventive foot care compared with their White counterparts. This significant variation in the standard of care for individuals with diabetes reflects the need to further identify factors driving the disparities in preventive foot care services among racial and ethnic minority groups.

Racial and Ethnic Disparities in Healthcare Rating, Diabetes Self-efficacy, and Diabetes Management Among Non-pregnant Women of Childbearing Age: Does Socioeconomic Status Matter?

OBJECTIVE

Patient perceptions of healthcare ratings, diabetes self-efficacy, and diabetes management play a role in diabetes-related outcomes, particularly among women of childbearing age. Guided by a modified Interaction Model of Client Health Behavior framework, the objective was to compare differences in perceptions of health care ratings, diabetes self-efficacy, and diabetes management among non-Hispanic Black, Hispanic, and non-Hispanic White women of childbearing age.

METHODS

The sample comprised 7 years (2012-2018) of Medical Expenditure Panel Survey data. The sample was limited to women of childbearing age (18-45 years) who have ever been told they had diabetes (n = 691; weighted n = 932,426). Dependent variables were health care rating, diabetes self-efficacy, and diabetes care management. The key independent variable was race/ethnicity (non-Hispanic Black, Hispanic, non-Hispanic White). We adjusted for sociodemographic characteristics and perceived health status using multiple linear and multivariable logistic regressions.

RESULTS

Non-Hispanic Black women (41.6%) self-reported their health status as fair or poor (44.9%) compared to non-Hispanic White (33.3%) and Hispanic (37.6%). In adjusted models, non-Hispanic Black women had 46% lower odds (95% CI = 0.31, 0.94) of reporting high health care ratings compared to non-Hispanic White women. Non-Hispanic Black women had 43% lower odds (95% CI = 0.35, 0.95) and Hispanic women had 47% lower odds (95% CI = 0.34, 0.80) of reporting higher levels of diabetes care management than non-Hispanic White women.

CONCLUSIONS

This study provides important information regarding diabetes health care ratings, self-efficacy, and self-management behaviors. Because of the increasing prevalence of diabetes among women of childbearing age, it is important to improve health care particularly for racial/ethnic minority women with diabetes.

Embedded Health Systems Science as a driver of care improvement within an integrated delivery organization

BACKGROUND

Embedded Health Systems Science (HSS) has the potential to reduce gaps between research and delivery of evidence-based medicine. Models are needed to guide the development of embedded HSS in health care delivery organizations particularly with the rise of value-based care.

METHODS

The development of HSS infrastructure at a large nonprofit health care delivery organization is described, along with an embedded HSS diabetes study to illustrate the integration of program specific data, electronic health records, and health care system data infrastructure. To compare diabetes outcomes across four evidenced-based programs, a control group was developed from EHR data using propensity score matching. Mixed effect adjusted models were used to estimate reductions in hemoglobin A1c (HbA1c) and body weight.

RESULTS

Adjusted analyses using an EHR derived comparison group demonstrated significantly different findings than unadjusted pre to post analyses. The embedded HSS study indicates that appropriate statistical methods, staff with required expertise, and integration with health system data infrastructure are needed to develop timely and rigorous HSS outcomes that effectively improve patient care.

CONCLUSIONS

Embedded HSS has the potential to inform value-based care models and contribute to evidence-based medicine approaches that improve patient care. Although developing system wide integrated data structures and staff with the appropriate skills requires substantial effort, the outcome is more reliable evaluations that lead to higher quality and higher value care.

IMPLICATIONS

Health care delivery organizations can improve patient care by dedicating resources to embed HSS into its routine operations.

Disparities in Biomarkers for Patients With Diabetes After the Affordable Care Act

BACKGROUND

Racial and ethnic minorities are disproportionately affected by diabetes and at greater risk of experiencing poor diabetes-related outcomes compared with non-Hispanic whites. The Affordable Care Act (ACA) was implemented to increase health insurance coverage and reduce health disparities.

OBJECTIVE

Assess changes in diabetes-associated biomarkers [hemoglobin A1c (HbA1c) and low-density lipoprotein] 24 months pre-ACA to 24 months post-ACA Medicaid expansion by race/ethnicity and insurance group.

RESEARCH DESIGN

Retrospective cohort study of community health center (CHC) patients.

SUBJECTS

Patients aged 19-64 with diabetes living in 1 of 10 Medicaid expansion states with ≥1 CHC visit and ≥1 HbA1c measurement in both the pre-ACA and the post-ACA time periods (N=13,342).

METHODS

Linear mixed effects and Cox regression modeled outcome measures.

RESULTS

Overall, 33.5% of patients were non-Hispanic white, 51.2% Hispanic, and 15.3% non-Hispanic black. Newly insured Hispanics and non-Hispanic whites post-ACA exhibited modest reductions in HbA1c levels, similar benefit was not observed among non-Hispanic black patients. The largest reduction was among newly insured Hispanics versus newly insured non-Hispanic whites (P<0.05). For the subset of patients who had uncontrolled HbA1c (HbA1c≥9%) within 3 months of the ACA Medicaid expansion, non-Hispanic black patients who were newly insured gained the highest rate of controlled HbA1c (hazard ratio=2.27; 95% confidence interval, 1.10-4.66) relative to the continuously insured group.

CONCLUSIONS

The impact of the ACA Medicaid expansion on health disparities is multifaceted and may differ across racial/ethnic groups. This study highlights the importance of CHCs for the health of minority populations.

Self-reported receipt of preventive practices and its associated factors among adults with diabetes in the United States

Previous studies indicated that a high proportion of adults with diabetes do not receive recommended preventive care in the United States. Nevertheless, a comprehensive evaluation of the factors associated with the receipt of most recommended preventive care measures collectively is lacking. Therefore, this study describes the utilization of multiple preventive care measures collectively. Moreover, this paper aims to identify factors associated with receiving the recommended preventive care. A cross-sectional study design was implemented using data from multiple panels (2009-2015) of the Medical Expenditure Panel Survey. The sample included adults aged 21 years or older with diabetes (n = 8415). The outcome for this study was either receiving five selected preventive care measures (HbA1c tests, cholesterol tests, foot examinations, dilated eye examinations, and influenza vaccines) collectively or not. Multivariable logistic regressions were performed among all adults with diabetes, those with multimorbidity, chronic kidney disease (CKD) or eye complications. Adults with diabetes were poorly adherent to receiving the five preventive care measures collectively (15.6%). Among all adults with diabetes, factors associated with receiving all the selected preventive practices included age, education, health insurance, prescription drug coverage, duration of diabetes, number of chronic conditions and smoking status. Similar results were observed among adults with multimorbidity. Among adults with CKD, those with private insurance and drug prescription coverage were more likely to receive the recommended practices. The findings suggest low adherence to receiving all five recommended practices. It is crucial to increase the awareness about the need for all the recommended practices among adults with diabetes.

Bedouin Women's Gender Preferences When Choosing Obstetricians and Gynecologists

Patients' preferences in choosing obstetricians/gynecologists are widely investigated, but studies among traditional populations are lacking. Bedouins comprise a traditional Arab Muslim society in the Arabian Peninsula (Saudi Arabia), The Levant (Syria, Jordan and Israel) and North Africa (Egypt). Most of the Bedouins in Israel populate several villages, mostly in the southern part of the country. This cross-sectional study compared 200 Bedouin and 200 Jewish women who responded to an anonymous questionnaire. Queried on gender alone, more Bedouin responders preferred female obstetricians/gynecologists (59.5 vs. 33% Jewish responders, p value <0.0001). Bedouin women preferred a female obstetrician/gynecologist for intimate procedures [feeling more comfortable (66.3%) and believing that females were more gentle (50%)]. However, they and the Jewish participants ranked ability, experience and knowledge as the top 3 qualities of an obstetrician/gynecologist, putting reputation in 4th place and gender in 5th place. Bedouin women strongly preferred female obstetricians/gynecologists, although professional skills were an important factor in their choice of caregiver. The ideal obstetrician/gynecologist for Bedouin women would be a skilled, knowledgeable, and experienced female.

Healthcare Disparities in Hispanic Diabetes Care: A Propensity Score-Matched Study

Hispanics represent the largest minority group in the US. Research has shown that the ethnic minority especially Hispanics have a disproportionate burden of illness associated with diabetes mellitus. However, many have been focused on small sample sizes with potential selection bias. This study aims to examine the ethnicity disparity in health care utilization and expenditures between Hispanic and non-Hispanics after controlling for confounding variables. Cross-sectional with propensity score-matched design. The study revealed that Hispanics with diabetes had higher poverty rates, lower education, less physical activity, and less health care utilization/expenditures than did non-Hispanics. The assessment of ethnicity differences in health care is challenging because of the potential biases that require careful adjustment. This study successfully identified and controlled for confounding bias and concluded the Hispanics disparity in health care utilization still exists.

Gender disparities in the associations of behavioral factors, serious psychological distress and chronic diseases with type 2 diabetes screening among US adults

Background

The increasing prevalence of undiagnosed and diagnosed type 2 diabetes (T2D) posed a major challenge for public health and thus screening for T2D becomes essentially important. The social-demographical factors associated with the use of T2D screening have been widely studied, however, little is known about the impact of behavioral factors, mental health and chronic diseases on prevalence of screening, especially by gender and age groups.

Methods

We investigated the impact of behavioral factors, mental health and chronic diseases across gender and age groups on the usage rate of T2D screening. To analyze the likelihood of the use of T2D screening, we performed weighted binomial logistic regression analyses.

Results

Obesity, physical activity and smoking increased the use of T2D screening for females more than for males, and alcohol use increased screenings only for females. Serious psychological distress (SPD) was found to have a positive association with the use of T2D screening for females rather than for males; whereas hypertension and diabetes increased the use of T2D screening for males more than for females. Physical activity was an effective predictor of screening for T2D in the groups of 45-64 years and 65 years or older. Former drinking was positively associated with T2D screening for people aged 65 or older, and smoking was found to increase the odds of screening for T2D for people aged less than 65.

Conclusions

Behavioral factors, mental health, and chronic diseases were significantly associated with the use of T2D screening and further demonstrated that gender differences exist in the role of above factors.

Critical assessment of health disparities across subpopulation groups through a social determinants of health perspective: The case of type 2 diabetes patients

BACKGROUND

Studies on diabetes have shown that population subgroups have varying rates of medical events and related procedures; however, existing studies have investigated either medical events or procedures, and hence, it is unknown whether disparities exist between medical events and procedures.

PURPOSE

The objective of this study is to investigate how diabetes-related medical events and procedures are different across population subgroups through a social determinants of health (SDH) perspective.

METHODS

Because the purpose of this manuscript is to explore whether statistically significant health disparities exist across population subgroups regarding diabetes patients' medical events and procedures, group difference test methods were employed. Diabetes patients' data were drawn from the Cerner Health Facts® data warehouse.

RESULTS

The study revealed systematic disparities across population subgroups regarding medical events and procedures. The most significant disparities were connected with smoking status, alcohol use, type of insurance, age, marital status, and gender.

CONCLUSIONS

Some population subgroups have higher rates of medical events and yet receive lower rates of treatments, and such disparities are systematic. Socially constructed behaviors and structurally discriminating public policies in part contribute to such systematic health disparities across population subgroups.

Dynamics of diabetes and obesity: Epidemiological perspective

The purpose of this review article is to understand the current literature on obesity, diabetes and therapeutic avenues across the world. Diabetes is a chronic lifestyle condition that affects millions of people worldwide and it is a major health concern in our society. Diabetes and obesity are associated with various conditions, including non-modifiable and modifiable risk factors. Early detectable markers are not well established to detect pre-diabetes and as a result, it becomes diabetes. Several published epidemiological studies were assessed and the findings were summarized. Resources from published studies were used to identify criteria used for pre-diabetes, the role of diet in pre-diabetics and potential risks and characteristics associated with pre-diabetes. Preventive strategies are needed to combat diabetes. Individuals diagnosed with pre-diabetes need detailed education, need to fully understand the risk factors and have the ability to manage diabetes. Interventions exist that include chronic disease self-management programs, lifestyle interventions and pharmacological strategies. Obesity plays a large role in causing pre-diabetes and diabetes. Critical analysis of existing epidemiological research data suggests that additional research is needed to determine the efficacy of interventions. This article is part of a Special Issue entitled: Oxidative Stress and Mitochondrial Quality in Diabetes/Obesity and Critical Illness Spectrum of Diseases - edited by P. Hemachandra Reddy.

Exploring factors associated with asthma-related emergency department visits among adults: A path analysis approach

BACKGROUND

Asthma is an expensive chronic lung disease that affects 7% of U.S. adults and results in as many as 1.8 million emergency department (ED) visits each year. Pharmacists play an important role in managing asthma, including assessing control and monitoring disease progression, educating the patient about the disease and associated treatments, and ensuring safe and cost-effective medication use. However, comprehensive studies that account for the complex relationships between factors impacting asthma-related ED visits are lacking in the adult asthma population.

OBJECTIVE

To explore the complex relationships between asthma control, medication use, co-morbid conditions, minority status, environment and asthma-related ED visits using a path analysis approach.

METHODS AND MATERIALS

Data for this study were obtained from the 2012 Behavioral Risk Factor Surveillance System's Asthma Call Back Survey. Current asthmatics 18 and older were included in the sample. Path analysis was used to evaluate the direct effects of the independent variables on asthma-related ED visits, as well as the indirect effects mediated through asthma control, health status, and daily use of inhaled corticosteroids.

RESULTS

Having controlled asthma (β = -0.153, p < 0.01) and good health status (β = -0.133, p < 0.01) were associated with significantly fewer ED visits. Good health status was associated with daily use of inhaled corticosteroids, which in turn was associated with better asthma control. Hispanic ED use was mediated by asthma control (β = -0.067, p < 0.05), while African American ED use was mediated by health status (β = 0.050, p < 0.05).

CONCLUSION

These findings suggest that there may be race/ethnicity specific factors that may be targeted to reduce asthma-related ED visits in minority populations.

Racial/Ethnic Disparities in Diabetes Quality of Care: the Role of Healthcare Access and Socioeconomic Status

INTRODUCTION

Blacks, Hispanics, and Asians are disproportionately affected by diabetes. We assessed the state of racial/ethnic disparities in diabetes quality of care in the USA.

METHODS

We analyzed cross-sectional data of adults diagnosed with Type 2 diabetes in the nationally representative 2013 Medical Expenditure Panel Survey. Differences in adherence to five diabetes quality of care recommendations (HbA1c twice yearly, yearly foot exam, dilated eye exam, blood cholesterol test, and flu vaccination) were examined by race/ethnicity while controlling for three social determinants of health (health insurance status, poverty, and education) and other demographic variables.

RESULTS

Among adults with diabetes in the USA, 74.9% received two or more HbA1c tests, 69.0% had a foot exam, 64.9% had an eye exam, 85.4% had a cholesterol test, and 65.1% received flu vaccination in 2013. Compared to Whites, all were lower for Hispanics; HbA1c tests, eye exam, and flu vaccination were lower for Blacks; HbA1c tests, foot exam, and eye exam were lower for Asians. In adjusted models, the only remaining disparities in quality of care indicators were HbA1c tests for Hispanics (AOR 0.67, CI = 0.47-0.97), Blacks (AOR 0.59, CI = 0.40-0.88), and Asians (AOR 0.47, CI = 0.42-0.99); foot exams for Hispanics (AOR 0.65, CI = 0.47-0.90); and flu vaccination for Blacks (AOR 0.68, CI = 0.49-0.93).

CONCLUSION

Lack of insurance coverage and education explained some of the racial/ethnic disparities observed in diabetes quality of care. Improving quality of diabetes care could help reduce rates of diabetes complications, healthcare costs, and mortality.

Disparities in recommended preventive care usage among persons living with diabetes in the Appalachian region

OBJECTIVE

To examine disparities in the receipt of preventive care recommended by the American Diabetes Association (ADA) between Appalachian and non-Appalachian counties and within Appalachian counties.

RESEARCH DESIGN AND METHODS

Behavioral Risk Factor Surveillance System (BRFSS) data for 2008-2010 were used to identify individuals with diabetes and their preventive care usage. Each Appalachian respondent county of residence was categorised into one of the five economic levels: distressed, at-risk, transitional, competitive and attainment counties. Competitive and attainment counties were combined and designated as competitive counties. We used logistic regressions to compare receipt of ADA preventive care recommendations by county economic level, adjusting for respondent demographic, socioeconomic, health and access-to-care factors.

RESULTS

Compared to the most affluent (competitive) counties, less affluent (distressed and at-risk) counties demonstrated equivalent or higher rates of self-care practices such as daily blood glucose monitoring and daily foot checks. But they showed 40-50% lower uptake of annual foot and eye examinations and 30% lower uptake of diabetes education and pneumococcal vaccinations compared to competitive counties. After adjusting for demographic factors, significant disparities still existed in the uptake of annual foot examinations, annual eye examinations, 2 or more A1c tests per year and pneumococcal vaccinations in distressed and at-risk counties compared to competitive counties. Appalachian counties as a whole were similar to non-Appalachian counties in the uptake of all recommendations with the absolute differences of ≤3%.

CONCLUSIONS

Our results show that there are significant disparities in the uptake of many recommended preventive services between less and more affluent counties in the Appalachian region.

Racial disparities in patient activation: Evaluating the mediating role of health literacy with path analyses

OBJECTIVE

The aim of this study was to use path analysis methods to determine if health literacy mediates the relationship between race and patient activation.

METHODS

We performed a secondary analysis of data from a randomized controlled trial in elderly, urban, minority patients using path analysis. Path analysis was used to evaluate the mediation of race on patient activation through different variables. Several models were tested for best fit for their effects on patient activation.

RESULTS

Across all models, significant mediation paths were identified from race to lower patient activation through health literacy. This relationship remained significant throughout alternative model testing for covariate combinations. The best-fit model included an indirect effect of sex on patient activation through health literacy indicating that the mediation effect of health literacy on patient activation was most profound for African American males. Health literacy had a bigger influence on patient activation for participants with a greater comorbidity than for those with fewer conditions. No significant direct effect was shown between race and patient activation in any of the models.

CONCLUSION

Racial disparities in patient activation were fully mediated by health literacy skills.

PRACTICE IMPLICATIONS

Future interventions to improve racial disparities in patient activation need to be targeted at improving health literacy.

Factors Associated With Ocular Health Care Utilization Among Hispanics/Latinos: Results From an Ancillary Study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

IMPORTANCE

Regular ocular care is critical to early detection and prevention of eye disease and associated morbidity and mortality; however, there have been relatively few studies of ocular health care utilization among Hispanics/Latinos of diverse backgrounds.

OBJECTIVE

To examine factors associated with ocular health care utilization among Cuban, Central American, and South American Hispanics/Latinos in a cohort study.

DESIGN, SETTING, AND PARTICIPANTS

An ancillary study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) evaluating ocular health, knowledge, risk factors, and health care use was conducted with 1235 HCHS/SOL participants (aged ≥40 years) at the Miami, Florida, study site. Data were collected from October 17, 2011, to September 30, 2013, and analyses were conducted from May 28, 2014, to March 18, 2015. Descriptive and multivariable logistic regression analyses were performed for 3 ocular health care outcomes. Regression models were built sequentially with variables conceptually grouped according to Andersen's Behavioral Model of Health Services Use.

MAIN OUTCOMES AND MEASURES

Ever having an eye examination, having an eye examination performed within the past 2 years, and difficulty obtaining needed eye care in the past year.

RESULTS

Of the 1235 participants, 478 were men and 757 were women, and they had a mean (SD) age of 53.6 (8.1) years. Those who never had insurance were less likely to have had an eye examination (with data reported as odds ratios [95% CIs]) ever, 0.19 (0.07-0.53) and in the past 2 years, 0.22 (0.15-0.33) and were more likely to have had difficulty obtaining needed eye care in the past year (3.72 [1.75-7.93]). Those with less than excellent or good self-rated eyesight were less likely to ever have had an eye examination (0.26 [0.12-0.56]) and more likely to have had difficulty obtaining care (3.00 [1.48-6.11]). Men were less likely to ever have had an eye examination (0.31 [0.18-0.53]). Older (55-64 years) Hispanics/Latinos (3.04 [1.47-6.31]) and those with a high school degree or general educational development certification (2.06 [1.02-4.13]) or higher levels of education (4.20 [2.12-8.30]) were more likely to ever have had an eye examination. Finally, those living in the United States for more than 15 years (0.42 [0.21-0.82]) were less likely to have had difficulty obtaining care.

CONCLUSIONS AND RELEVANCE

Our findings suggest that increasing insurance coverage, decreasing the costs of care, and increasing the availability of care for Hispanics/Latinos with poor self-rated eyesight are relevant issues to address to improve ocular health care use among Hispanics/Latinos of diverse backgrounds.

Racial-ethnic disparities in the association between risk factors and diabetes: The Northern Manhattan Study

PURPOSE

To identify risk factors (RF) for diabetes within a multiethnic cohort and to examine whether race-ethnicity modified their effects.

METHODS

Participants in the Northern Manhattan Study without diabetes at baseline were studied from 1993 to 2014 (n=2430). Weibull regression models with interval censoring data were fit to calculate hazard ratios and 95% confidence intervals for incident diabetes. We tested for interactions between RF and race-ethnicity.

RESULTS

During a mean follow-up period of 11years, there were 449 diagnoses of diabetes. Being non-Hispanic black (HR 1.69 95% CI 1.11-2.59) or Hispanic (HR 2.25 95% CI 1.48-3.40) versus non-Hispanic white, and body mass index (BMI; HR 1.34 per SD 95% CI 1.21-1.49) were associated with greater risk of diabetes; high-density lipoprotein cholesterol (HR 0.75 95% CI 0.66-0.86) was protective. There were interactions by race-ethnicity. In stratified models, the effects of BMI, current smoking, and C-reactive protein (CRP) on risk of diabetes differed by race-ethnicity (p for interaction <0.05). The effects were greater among non-Hispanic whites than non-Hispanic blacks and Hispanics.

CONCLUSIONS

Although Hispanics and non-Hispanic blacks had a greater risk of diabetes than whites, there were variations by race-ethnicity in the association of BMI, smoking, and CRP with risk of diabetes. Unique approaches should be considered to reduce diabetes as traditional RF may not be as influential in minority populations.

Diabetes Causation Beliefs Among Spanish-Speaking Patients

PURPOSE

The purpose of this study was to explore how the inquiry of cultural diabetes causation beliefs can improve Hispanic/Latino patient self-management.

METHODS

Two semistructured focus groups were conducted with 13 Hispanic/Latinos adults diagnosed with type 2 diabetes mellitus. Prior to taking part in the group discussion, participants completed a demographic survey and the Illness Perception Questionnaire-Revised.

RESULTS

The top 5 diabetes causation items endorsed by participants per the questionnaire included stress or worry, behavior, hereditary, diet/eating habits, and family problems/worries. The qualitative analysis revealed stress as a recurring theme for a cause of diabetes. Work stress was specifically identified as a contributor to unhealthy eating and diabetes. Most participants were aware of and believed in susto and referred to it as coraje (anger). Participants believed that asking patients about their diabetes causation beliefs and emotional status can help health professionals (1) better understand the patient and (2) identify and prioritize diabetes treatments. Participants also indicated that the role of doctors is important and the encouragement that they give to patients is clinically and spiritually valued.

CONCLUSIONS

Stress was identified as a cause of diabetes in addition to unhealthy diets and heredity. Asking patients about diabetes causation beliefs and emotional status may help prioritize treatment and management goals.

The comparative experiences of women in control: diabetes self-management education in a virtual world

The purpose was to characterize participants' experiences of a diabetes self-management (DSM) education program delivered via a virtual world (VW) versus a face-to-face (F2F) format. Participants included a randomly selected sample of participants who completed the Women in Control study. Four focus groups were conducted with 32 participants. Four researchers coded the data and conducted a qualitative thematic analysis. Four overarching themes were identified. Three domains apply to both VW and F2F formats, including (1) the value of DSM knowledge gained, (2) cultivating DSM attitudes and skills, and (3) the value of peer-derived social support. The fourth domain is labeled positive technological development for DSM (VW condition only). VW and F2F groups both reported mastery of DSM knowledge, attitudes, and skills, and there were no differences in peer-derived social support between groups. The technological aspects of VW participation afforded VW participants a unique sense of personal agency and diabetes self-efficacy not reported by F2F participants. DSM education in a VW is feasible and educational outcomes are similar to a F2F classroom experience. Furthermore, learning DSM skills in a VW offers unique advantages in supporting personal agency for health behavior change. Further research is warranted.

Rational use of electronic health records for diabetes population management

Population management is increasingly invoked as an approach to improve the quality and value of diabetes care. Recent emphasis is driven by increased focus on both costs and measures of care as the US moves from fee for service to payment models in which providers are responsible for costs incurred, and outcomes achieved, for their entire patient population. The capacity of electronic health records (EHRs) to create patient registries, apply analytic tools, and facilitate provider- and patient-level interventions has allowed rapid evolution in the scope of population management initiatives. However, findings on the efficacy of these efforts for diabetes are mixed, and work remains to achieve the full potential of an-EHR based population approach. Here we seek to clarify definitions and key domains, provide an overview of evidence for EHR-based diabetes population management, and recommend future directions for applying the considerable power of EHRs to diabetes care and prevention.