Racial Disparities in Diabetes Care Processes, Outcomes, and Treatment Intensity

Prediabetes Progression and Reversion: Social Factors and Racial/Ethnic Differences

OBJECTIVE

Racial and ethnic minorities are disproportionately affected by diabetes. Social characteristics, such as family structure, social support, and loneliness, may contribute to these health disparities. In a nationally representative sample of diverse older adults, we evaluated longitudinal rates of both progression from prediabetes to diabetes and reversion from prediabetes to normoglycemia.

RESEARCH DESIGN AND METHODS

Using the longitudinal Health and Retirement Study (2006-2014), our sample included 2625 follow-up intervals with a prediabetes baseline (provided by 2229 individuals). We analyzed 4-year progression and reversion rates using HbA1c and reported presence or absence of physician-diagnosed diabetes. We utilized chi-square and logistic regression models to determine how race/ethnicity and social variables influenced progression or reversion controlling for comorbidities and demographics.

RESULTS

Overall, progression to diabetes was less common than reversion (17% vs. 36%). Compared to Whites, Hispanic/Latino respondents had higher odds of progression to diabetes from prediabetes while Black respondents had lower odds of reversion, adjusting for physical health and demographics. For social variables, Hispanics/Latinos had the highest reliance on and openness with family and the lowest rates of loneliness. The inclusion of social variables in regression models reduced the odds of progression for Hispanics/Latinos but did not alter Black's lower rate of reversion.

CONCLUSIONS

Hispanic/Latinos and Blacks not only had different transition pathways leading to diabetes, but also had different social profiles, affecting Hispanic/Latino progression, but not Black reversion. These differences in the influence of social variables on diabetes risk may inform the design of culturally-specific efforts to reduce disparities in diabetes burden.

Trends and Race/Ethnic Disparities in Diabetes-Related Hospital Use in Medicaid Enrollees: Analyses of Serial Cross-sectional State Data, 2008-2017

BACKGROUND

Race/ethnic disparities in preventable diabetes-specific hospital care may exist among adults with diabetes who have Medicaid coverage.

OBJECTIVE

To examine race/ethnic disparities in utilization of preventable hospital care by adult Medicaid enrollees with diabetes across nine states over time.

DESIGN

Using serial cross-sectional state discharge records for emergency department (ED) visits and inpatient (IP) hospitalizations from the Healthcare Cost and Utilization Project, we quantified race/ethnicity-specific, state-year preventable diabetes-specific hospital utilization.

PARTICIPANTS

Non-Hispanic Black, non-Hispanic White, and Hispanic adult Medicaid enrollees aged 18-64 with a diabetes diagnosis (excluding gestational or secondary diabetes) who were discharged from hospital care in Arizona, Iowa, Kentucky, Florida, Maryland, New Jersey, New York, North Carolina, and Utah for the years 2008, 2011, 2014, and 2017.

MAIN MEASURES

Non-Hispanic Black-over-White and Hispanic-over-White rate ratios constructed using age- standardized state-year, race/ethnicity-specific ED, and IP diabetes-specific utilization rates.

KEY RESULTS

The ratio of Black-over-White ED utilization rates for preventable diabetes-specific hospital care increased across the 9 states in our sample from 1.4 (CI 95, 1.31-1.50) in 2008 to 1.73 (CI 95, 1.68-1.78) in 2017. The cross-year-state average non-Hispanic Black-over-White IP rate ratio was 1.46 (CI 95, 1.42-1.50), reflecting increases in some states and decreases in others. The across-state-year average Hispanic-over-White rate ratio for ED utilization was 0.67 (CI 95, 0.63-0.71). The across-state-year average Hispanic-over-White IP hospitalization rate ratio was 0.72 (CI 95, 0.69-0.75).

CONCLUSIONS

Hospital utilization by non-Hispanic Black Medicaid enrollees with diabetes was consistently greater and often increased relative to utilization by White enrollees within state programs between 2008 and 2017. Hispanic enrollee hospital utilization was either lower or indistinguishable relative to White enrollee hospital utilization in most states, but Hispanic utilization increased faster than White utilization in some states. Among broader patterns, there is heterogeneity in the magnitude of race/ethnic disparities in hospital utilization trends across states.

Essential Principles to Create an Equitable, Inclusive, and Diverse EMS Workforce and Work Environment: A Position Statement and Resource Document

POSITION STATEMENTEmergency medical services (EMS), similar to all aspects of health care systems, can play a vital role in examining and reducing health disparities through educational, operational, and quality improvement interventions. Public health statistics and existing research highlight that patients of certain socioeconomic status, gender identity, sexual orientation, and race/ethnicity are disproportionately affected with respect to morbidity and mortality for acute medical conditions and multiple disease processes, leading to health disparities and inequities. With regard to care delivery by EMS, research demonstrates that the current attributes of EMS systems may further contribute to these inequities, such as documented health disparities existing in EMS patient care management, and access along with EMS workforce composition not being representative of the communities served influencing implicit bias. EMS clinicians need to understand the definitions, historical context, and circumstances surrounding health disparities, health care inequities, and social determinants of health in order to reduce health care disparities and promote care equity. This position statement focuses on systemic racism and health disparities in EMS patient care and systems by providing multifaceted next steps and priorities to address these disparities and workforce development. NAEMSP believes that EMS systems should:Adopt a multifactorial approach to workforce diversity implemented at all levels within EMS agencies.Hire more diverse workforce by intentionally recruiting from marginalized communitiesIncrease EMS career pathway and mentorship programs within underrepresented minorities (URM) communities and URM-predominant schools starting at a young age to promote EMS as an achievable profession.Examine policies that promote systemic racism and revise policies, procedures, and rules to promote a diverse, inclusive, and equitable environment.Involve EMS clinicians in community engagement and outreach activities to promote health literacy, trustworthiness, and education.Require EMS advisory boards whose composition reflects the communities they serve and regularly audit membership to ensure inclusion.Increase knowledge and self-awareness of implicit/unconscious bias and acts of microaggression through established educational and training programs (i.e., anti- racism, upstander, and allyship) such that individuals recognize and mitigate their own biases and can act as allies.Redesign structure, content, and classroom materials within EMS clinician training programs to enhance cultural sensitivity, humility, and competency and to meet career development, career planning, and mentoring needs, particularly of URM EMS clinicians and trainees.Discuss cultural views that affect health care and medical treatment and the effects of social determinants of health on care access and outcomes during all aspects of training.Design research and quality improvement initiatives related to health disparities in EMS that are focused on racial/ethnic and gender inequities and include URM community leaders as essential stakeholders involved in all stages of research development and implementation.

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.

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018

AIM

To examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018.

METHODS

We conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) insulin analogue use; (c) non-insulin GLDs adherence; (d) insulin adherence; and (e) glucose management, along with (f) the proportion of the disparities explained by potential contributing factors.

RESULTS

From 2005 to 2018, racial and ethnic disparities persisted in newer GLD use, non-insulin GLDs adherence, insulin analogue use and glucose management. In 2018, compared with non-Hispanic white adults, non-Hispanic black, Hispanic and other race/ethnicity groups had lower rates of using newer GLDs (adjusted risk ratio: 0.44, 0.52, 0.64, respectively; p < .05 for all) and insulin analogues (adjusted risk ratio: 0.93, 0.89, 0.95, respectively; p < .05 for all except other groups), lower non-insulin GLD adherence (proportion of days covered: -4.5%, -5.6%, -4.3%, respectively; p < .05 for all), higher glycated haemoglobin A1c (0.29%, 0.32%, 0.02%, respectively; p < .05 for all except other group), and similar insulin adherences. Socioeconomic and health status were the main contributors to these disparities.

CONCLUSIONS

Our findings provide evidence of racial and ethnic disparities in newer GLD use and quality of care in glucose management. Our study results can inform decision-makers of the status of racial and ethnic disparities and identify ways to reduce these disparities.

Availability of Evidence-Based Diabetes Programs in U.S. Children's Hospitals

Diabetes affects Americans across the lifespan requiring individual and community-level interventions for prevention and management. Nonprofit hospitals are required to address community health needs under current tax law. The study objective was to assess what strategies children's hospitals implemented in prevention and care of diabetes and determine how many hospitals used evidence-based strategies. We identified the most recent Children's Hospital Needs Assessments and implementation strategies for each hospital. Data were thematically coded. Twenty-nine of the 233 U.S. children's hospitals addressed diabetes in their community benefit investments. Of the 130 hospital programs, 48 (37%) aligned with the DSMES framework. Programs focused on prevention (32%), healthy eating (18%), education (15%), physical activity (12%), quality improvement (11%), and self-management (5%). Most children's hospital interventions (85%) did not state a focus on reducing health disparities and none addressed problem solving or diabetes technology. Minimal hospitals are using evidence-based programming for diabetes management and are not targeting health disparities which undercuts their efforts. Hospitals are not adopting structural evidence-based approaches, missing key opportunities to implement strategies shown to reduce diabetes prevalence and lower A1c. This study suggests that children's hospitals need improvement in their diabetes programming to better serve their communities.

Ensuring Equitable Care in Diabetes Management Among Patients of Health Resources & Services Administration-Funded Health Centers in the United States

AIM

To explore whether there are racial/ethnic differences in diabetes management and outcomes among adult health center (HC) patients with type 2 diabetes.

METHODS

We analyzed data from the 2014 Health Center Patient Survey, a national sample of HC patients. We examined indicators of diabetes monitoring (A1C testing, annual foot/eye doctor visits, and cholesterol checks) and care management (specialist referrals, individual treatment plan, and receipt of calls/appointments/home visits). We also examined diabetes-specific outcomes (blood glucose levels, diabetes-related emergency department [ED] visits/hospitalizations, and diabetes self-management confidence) and general outcomes (number of doctor visits, ED visits, and hospitalizations). We used multilevel logistic regression models to examine racial/ethnic disparities by the above indicators.

RESULTS

We found racial/ethnic parity in A1C testing, eye doctor visits, and diabetes-specific outcomes. However, Hispanics/Latinos (odds ratio [OR] 0.26), non-Hispanic African Americans (OR 0.25), and Asians (OR 0.11) were less likely to receive a cholesterol check than Whites. Non-Hispanic African Americans (OR 0.43) were less likely to have frequent doctor visits, while Hispanic/Latino patients (OR 0.45) were less likely to receive an individual treatment plan.

CONCLUSION

HCs largely provide equitable diabetes care but have room for improvement in some indicators. Tailored efforts such as culturally competent care and health education for some racial/ethnic groups may be needed to improve diabetes management and outcomes.

Access to care by Medicare beneficiaries in the U.S. with diabetes and multiple chronic conditions during the COVID-19 pandemic

OBJECTIVE

Determine characteristics of Medicare beneficiaries with diabetes and multiple chronic conditions (MCC) associated with being unable to obtain medical services during COVID-19.

RESEARCH DESIGN AND METHODS

Retrospective cohort study of data from COVID-19 Supplements of Medicare Current Beneficiary Surveys administered in Summer (N = 11,114, unweighted) and Fall (N = 9686, unweighted) 2020, and Winter 2021 (N = 11,107, unweighted). Binary logistic regression was used to model for adjusted odds of self-reports of being unable to access different types of care.

RESULTS

In three time periods from March 2020 through March/April 2021 beneficiaries with diabetes plus MCC combinations reported being unable to get medical care, compared to beneficiaries with diabetes alone. Notably, patterns persisted at the 12-month mark with beneficiaries with diabetes plus cancer (OR = 1.24), and diabetes plus cancer/stroke (OR = 2.53) experiencing increased odds of being unable to get care because of COVID-19, compared to beneficiaries with diabetes alone. By March/April 2021 beneficiaries with diabetes plus COPD (OR = 1.08), diabetes plus stroke (OR = 1.49), and diabetes plus Alzheimer's (OR = 1.09) experienced increased odds of being unable to get treatment for ongoing conditions. Beneficiaries with diabetes plus Alzheimer's (OR = 1.40) also experienced increased odds of being unable to get a regular check-up 12 months into the pandemic. Finally, members of racial/ethnic minority groups experienced increased odds of being unable to obtain services at various times during the pandemic compared to non-Hispanic Whites, with increased odds persisting at 12 months for non-Hispanic Blacks and Hispanics.

CONCLUSIONS

Beneficiaries with MCC, and minorities, experienced increased odds of being unable to obtain some services during COVID-19, even when controlling for similar diabetes and MCC combinations. Work remains for providers and public health systems to dismantle and reimagine systems to provide equitable access to care.

Racial, ethnic, and language differences in screening measures for statin therapy following a major guideline change

Atherosclerotic cardiovascular disease (ASCVD) disproportionally affects racial and ethnic minority populations. Statin prescribing guidelines changed in 2013 to improve ASCVD prevention. It is unknown whether risk screening for statin eligibility differed across race and ethnicity over this guideline change. We examine racial/ethnic/language differences in screening measure prevalence for period-specific statin consideration using a retrospective cohort design and linked electronic health records from 635 community health centers in 24 U.S. states. Adults 50+ years, without known ASCVD, and ≥ 1 visit in 2009-2013 and/or 2014-2018 were included, grouped as: Asian, Latino, Black, or White further distinguished by language preference. Outcomes included screening measure prevalence for statin consideration, 2009-2013: low-density lipoprotein (LDL), 2014-2018: pooled cohort equation (PCE) components age, sex, race, systolic blood pressure, total cholesterol, high-density lipoprotein, smoking status. Among patients seen both periods, change in period-specific measure prevalence was assessed. Adjusting for sociodemographic and clinical factors, compared to English-preferring White patients, all other groups were more likely to have LDL documented (2009-2013, n = 195,061) and all PCE components documented (2014-2018, n = 344,504). Among patients seen in both periods (n = 128,621), all groups had lower odds of PCE components versus LDL documented in the measures' respective period; English-preferring Black adults experienced a greater decline compared to English-preferring White adults (OR 0.81; 95% CI: 0.72-0.91). Racial/ethnic/language disparities in documented screening measures that guide statin therapy for ASCVD prevention were unaffected by a major guideline change advising this practice. It is important to understand whether the newer guidelines have altered disparate prescribing and morbidity/mortality for this disease.

Racial Disparities in Diabetes-Related Emergency Department Visits and Hospitalizations Among Cancer Survivors

PURPOSE

Black and Hispanic individuals with diabetes receive less recommended diabetes care after cancer diagnosis than non-Hispanic Whites (NHW). We sought to determine whether racial/ethnic minorities with diabetes and cancer were at increased risk of diabetes-related emergency department (ED) visits and hospitalizations compared with NHW.

METHODS

Using SEER cancer registry data linked to Medicare claims from 2006 to 2014, we included Medicare beneficiaries age 66+ years diagnosed with incident nonmetastatic breast, prostate, or colorectal cancer between 2007 and 2012 who had diabetes. Our primary outcome was any diabetes-related ED visit or hospitalization 366-731 days after cancer diagnosis. Using Fine-Gray subdistribution hazard models, we examined whether risk of ED visits or hospitalizations was higher for racial/ethnic minorities compared with NHW.

RESULTS

We included 40,059 beneficiaries with mean age 75.5 years (standard deviation 6.3), 45.6% were women, and 28.9% were non-White. Overall, 825 (2.1%) had an ED visit and 3,324 (8.3%) had a hospitalization related to diabetes in the 366-731 days after cancer diagnosis. Compared with NHW, Black individuals were more likely to have ED visits (2.9% v 2.0%; P < .0001) and hospitalizations (11.7% v 7.8%; P < .0001). Adjusting for potential confounders, Black (adjusted hazard ratio, 1.22; 95% CI, 1.12 to 1.35) individuals had a higher risk of any ED visit or hospitalization compared with NHW.

CONCLUSION

Black individuals with diabetes and cancer were at increased risk for diabetes-related ED visits and hospitalizations in the second year after cancer diagnosis compared with NHW even after accounting for confounders.

A mixed-methods approach to understanding the perspectives, experiences, and attitudes of a culturally tailored cognitive behavioral therapy/motivational interviewing intervention for African American patients with type 2 diabetes: a randomized parallel design pilot study

Background

African American (AA) adults are 60% more likely to be diagnosed with diabetes mellitus (DM) and experience more complications than non-Hispanic White adults. Cognitive behavioral therapy (CBT) has shown to be an effective modality for helping patients improve health behaviors and regulate emotional states. Motivational interviewing (MI) addresses participant engagement and motivation. Therefore, MI was combined with CBT as an approach to the process of learning using CBT skills to promote healthy lifestyle choices. We aimed to assess the effects of a culturally tailored CBT/MI intervention on glycemic control in AA participants and understand their perspectives, attitudes, and experiences while participating in this intervention.

Methods

Using a randomized, parallel design pilot study (web-based group vs in-person group), 20 participants aged ≥ 18 years, identifying as AA and having a glycosylated hemoglobin (HbA1c) > 8%, were recruited. A CBT/MI intervention was administered in six sessions over 3 months. Participants completed baseline and follow-up assessments on measures for diabetes control (HbA1c), self-efficacy, generalized anxiety, depression, perceived stress, health-related quality of life, and cognitive ability. Post-CBT/MI intervention focus groups were conducted to determine patient perspectives regarding the intervention.

Results

Fourteen participants completed the study, their mean HbA1c improved from 10.0 to 8.9% (t(26) = 0.5, p-value = 0.06). The Diabetes Distress Scale demonstrated decreased distress overall (t(26) = 2.6; p-value = 0.02). The Generalized Anxiety Disorder Scale demonstrated decreased generalized anxiety for all participants (t(26) = 2.2; p = 0.04). Themes identified in focus groups included (1) intervention group social support through information sharing, (2) mental health and personal identities in diabetes understanding and management, and (3) receptivity to CBT/MI intervention positively impacts self-efficacy through improved health literacy.

Conclusion

This group-based, culturally tailored CBT/MI intervention for type 2 DM care was positively received by AA participants and helped improve diabetes control, as demonstrated by the change in HbA1c. There were additional benefits of social support through group interactions and a stronger sense of self-efficacy due to health education. A comprehensive treatment plan using a CBT/MI intervention may be useful in promoting healthy diabetes self-management.

Trial registration

ClinicalTrials.gov, NCT03562767. Registered on 19 June 2018

Trends and Variations in Emergency Department Use Associated With Diabetes in the US by Sociodemographic Factors, 2008-2017

IMPORTANCE

Little is known about emergency department (ED) use among people with diabetes and whether the pattern of ED use varies across geographic areas and population subgroups.

OBJECTIVE

To estimate recent national- and state-level trends in diabetes-related ED use overall and by race and ethnicity, rural or urban location, and insurance status.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study of adults visiting the ED with a diabetes-related diagnosis used serial data from the Nationwide Emergency Department Sample, a nationally representative database, and discharge records from 11 state emergency department databases for 2008, 2011, 2014, and 2016 to 2017. Data were analyzed from March 16 to November 9, 2020.

EXPOSURES

Reported race and ethnicity, rural or urban location, and insurance status. Data were stratified to generate state-specific estimates.

MAIN OUTCOMES AND MEASURES

Rates of ED use for all-cause visits among adults with diabetes (all-cause diabetes visits) and visits with primary diagnoses of diabetes-specific complications.

RESULTS

A larger portion of all-cause diabetes ED visits (n = 32 433 015) were by female (56.8%) and middle-aged (mean [SD] age, 58.4 [16.3] years) adults with diabetes. Nationally, all-cause diabetes ED visits per 10 000 adults increased 55.6% (95% CI, 50.6%-60.6%), from 257.6 (95% CI, 249.9-265.3) visits in 2008 to 400.8 (95% CI, 387.6-414.0) visits in 2017. All-cause diabetes ED visits increased more for urban (58.3%; 95% CI, 52.5%-64.1%) and uninsured subgroups (75.3% [95% CI, 59.8%-90.8%]) than for their counterparts. Diabetes-specific ED visits (weighted number of 1 911 795) nationally increased slightly among all subgroups. State-specific ED use rates show wide state-to-state variations in ED use by race and ethnicity, rural or urban location, and insurance. On average across states, diabetes-specific ED use among Black patients was approximately 3 times (rate ratio, 3.09 [95% CI, 2.91-3.30]) greater than among non-Hispanic White patients, and among Hispanic patients, it was 29% greater (rate ratio, 1.29 [95% CI, 1.19-1.40]) than among non-Hispanic White patients. The mean rate of ED use among rural patients was 34% greater (rate ratio, 1.34 [95% CI, 1.26-1.44]) than among urban patients. The mean rates of ED use among patients with Medicaid (rate ratio, 6.65 [95% CI, 6.49-6.82]) and Medicare (rate ratio, 4.37 [95% CI, 4.23-4.51]) were greater than among privately insured adults.

CONCLUSIONS AND RELEVANCE

This study suggests that disparities in diabetes-related ED use associated with race and ethnicity, rural or urban location, and insurance status were persistent from 2008 to 2017 within and across states, as well as nationally. Further geographic and demographic-specific analyses are needed to understand the sources of inequity.

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.

Racial disparities in diabetes care among incident breast, prostate, and colorectal cancer survivors: a SEER Medicare study

BACKGROUND

Many cancer survivors with co-morbid diabetes receive less diabetes management than their non-cancer counterparts. We sought to determine if racial/ethnic disparities exist in recommended diabetes care within 12 months of an incident breast, prostate, or colorectal cancer diagnosis. Because co-morbid diabetes decreases long-term survival, identifying predictors of guideline-concordant diabetes care is important.

METHODS

Using the Surveillance, Epidemiology, and End Results cancer registry linked to Medicare claims, we included beneficiaries aged 67+ years with diabetes and incident, non-metastatic breast, prostate, or colorectal cancer between 2008 and 2013. Primary outcomes were diabetes care services 12 months after diagnosis: (1) HbA1c test, (2) eye exam, and (3) low-density lipoprotein (LDL) test. Using modified Poisson models with robust standard errors, we examined each outcome separately.

RESULTS

We included 34,643 Medicare beneficiaries with both diabetes and cancer. Mean age at diagnosis was 76.1 (SD 6.2), 47.2% were women; 35% had breast, 24% colorectal, and 41% prostate cancer. In the 12 months after incident cancer diagnosis, 82.4% received an HbA1c test, 55.3% received an eye exam, 77.8% had an LDL test, and 42.0% received all three tests. Compared to non-Hispanic Whites, Blacks were 3% (95% CI 0.95-0.98) less likely to receive a HbA1c test, 10% (95% CI 0.89-0.92) less likely to receive a LDL test, and 8% (95% 0.89-0.95) less likely to receive an exam eye. Blacks and Hispanics were 16% (95% CI 0.81-0.88) and 7% (0.88-0.98) less likely to receive all three tests, after accounting for confounders. Racial/ethnic differences persisted across cancer types.

CONCLUSION

Blacks and Hispanics with breast, prostate, and colorectal cancer and diabetes received less diabetes care after cancer diagnosis compared to non-Hispanic Whites. Differences were not explained by socio-economic factors or clinical need.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings are concerning given the high prevalence of diabetes and poor cancer outcomes among racial/ethnic minorities. The next step in this line of inquiry is to determine why minorities are less likely to receive comprehensive diabetes care in order to develop targeted strategies to increase receipt of appropriate diabetes management for these vulnerable populations.

Peer Coaching to Improve Diabetes Self-Management Among Low-Income Black Veteran Men: A Mixed Methods Assessment of Enrollment and Engagement

PURPOSE

We undertook a study to ascertain patient characteristics associated with enrollment and engagement in a type 2 diabetes peer health coaching program at an urban health care facility serving predominantly Black veteran men, to improve the targeting of such programs.

METHODS

A total of 149 patients declined enrollment in a randomized controlled trial but provided sociodemographic, clinical, and psychosocial information. A total of 290 patients enrolled and were randomized to 2 peer coaching programs; they provided sociodemographic, clinical, and survey data, and were analyzed according to their level of program engagement (167 engaged, 123 did not engage) irrespective of randomization group. Qualitative interviews were conducted with 14 engaged participants.

RESULTS

Patients who enrolled were more likely to be Black men, have higher levels of education, have higher baseline hemoglobin A_1c levels, describe their diabetes self-management as "fair" or "poor," and agree they "find it easy to get close to others" (P <.05 for each). At the program's end, patients who had engaged were more likely than those who had not to describe their peer coaches as being supportive of their autonomy (mean score, 85.4 vs 70.7; P <.001). The importance of coaches being encouraging, supportive, and having common ground/shared experiences with participants also emerged as key themes in interviews with engaged participants.

CONCLUSION

Individuals with greatest perceived need were more likely to enroll in our trial of peer coaching, but the only factor associated with engagement was finding one's coach to support autonomy. Our findings reinforce the importance of training and ensuring fidelity of peer coaches to autonomy-supportive communication styles for participant engagement. In tailoring peer support programs for Black men, future research should elucidate which shared characteristics between participant and peer coach are most important for engagement and improved outcomes.Visual abstract.

Association of Race/Ethnicity, Gender, and Socioeconomic Status With Sodium-Glucose Cotransporter 2 Inhibitor Use Among Patients With Diabetes in the US

IMPORTANCE

Sodium-glucose cotransporter 2 (SGLT2) inhibitors significantly reduce deaths from cardiovascular conditions, hospitalizations for heart failure, and progression of kidney disease among patients with type 2 diabetes. Black individuals have a disproportionate burden of cardiovascular and chronic kidney disease (CKD). Adoption of novel therapeutics has been slower among Black and female patients and among patients with low socioeconomic status than among White or male patients or patients with higher socioeconomic status.

OBJECTIVE

To assess whether inequities based on race/ethnicity, gender, and socioeconomic status exist in SGLT2 inhibitor use among patients with type 2 diabetes in the US.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study of commercially insured patients in the US was performed from October 1, 2015, to June 30, 2019, using the Optum Clinformatics Data Mart. Adult patients with a diagnosis of type 2 diabetes, including those with heart failure with reduced ejection fraction (HFrEF), atherosclerotic cardiovascular disease (ASCVD), or CKD, were evaluated in the analysis.

MAIN OUTCOMES AND MEASURES

Prescription of an SGLT2 inhibitor. Multivariable logistic regression models were used to assess the association of race/ethnicity, gender, and socioeconomic status with SGLT2 inhibitor use.

RESULTS

Of 934 737 patients with type 2 diabetes (mean [SD] age, 65.4 [12.9] years; 50.7% female; 57.6% White), 81 007 (8.7%) were treated with an SGLT2 inhibitor during the study period. Between 2015 and 2019, the percentage of patients with type 2 diabetes treated with an SGLT2 inhibitor increased from 3.8% to 11.9%. Among patients with type 2 diabetes and cardiovascular or kidney disease, the rate of SGLT2 inhibitor use increased but was lower than that among all patients with type 2 diabetes (HFrEF: 1.9% to 7.6%; ASCVD: 3.0% to 9.8%; CKD: 2.1% to 7.5%). In multivariable analyses, Black race (adjusted odds ratio [aOR], 0.83; 95% CI, 0.81-0.85), Asian race (aOR, 0.94; 95% CI, 0.90-0.98), and female gender (aOR, 0.84; 95% CI, 0.82-0.85) were associated with lower rates of SGLT2 inhibitor use, whereas higher median household income (≥$100 000: aOR, 1.08 [95% CI, 1.05-1.10]; $50 000-$99 999: aOR, 1.05 [95% CI, 1.03-1.07] vs <$50 000) was associated with a higher rate of SGLT2 inhibitor use. These results were similar among patients with HFrEF, ASCVD, and CKD.

CONCLUSIONS AND RELEVANCE

In this cohort study, use of an SGLT2 inhibitor treatment increased among patients with type 2 diabetes from 2015 to 2019 but remained low, particularly among patients with HFrEF, CKD, and ASCVD. Black and female patients and patients with low socioeconomic status were less likely to receive an SGLT2 inhibitor, suggesting that interventions to ensure more equitable use are essential to prevent worsening of well-documented disparities in cardiovascular and kidney outcomes in the US.

Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies

BACKGROUND

Diabetes is a public health burden that disproportionately affects military veterans and racial minorities. Studies of racial disparities are inherently observational, and thus may require the use of methods such as Propensity Score Analysis (PSA). While traditional PSA accounts for patient-level factors, this may not be sufficient when patients are clustered at the geographic level and thus important confounders, whether observed or unobserved, vary by geographic location.

METHODS

We employ a spatial propensity score matching method to account for "geographic confounding", which occurs when the confounding factors, whether observed or unobserved, vary by geographic region. We augment the propensity score and outcome models with spatial random effects, which are assigned scaled Besag-York-Mollié priors to address spatial clustering and improve inferences by borrowing information across neighboring geographic regions. We apply this approach to a study exploring racial disparities in diabetes specialty care between non-Hispanic black and non-Hispanic white veterans. We construct multiple global estimates of the risk difference in diabetes care: a crude unadjusted estimate, an estimate based solely on patient-level matching, and an estimate that incorporates both patient and spatial information.

RESULTS

In simulation we show that in the presence of an unmeasured geographic confounder, ignoring spatial heterogeneity results in increased relative bias and mean squared error, whereas incorporating spatial random effects improves inferences. In our study of racial disparities in diabetes specialty care, the crude unadjusted estimate suggests that specialty care is more prevalent among non-Hispanic blacks, while patient-level matching indicates that it is less prevalent. Hierarchical spatial matching supports the latter conclusion, with a further increase in the magnitude of the disparity.

CONCLUSIONS

These results highlight the importance of accounting for spatial heterogeneity in propensity score analysis, and suggest the need for clinical care and management strategies that are culturally sensitive and racially inclusive.

Geographic and Racial/Ethnic Variation in Glycemic Control and Treatment in a National Sample of Veterans With Diabetes

OBJECTIVE

Geographic and racial/ethnic disparities related to diabetes control and treatment have not previously been examined at the national level.

RESEARCH DESIGN AND METHODS

A retrospective cohort study was conducted in a national cohort of 1,140,634 veterans with diabetes, defined as two or more diabetes ICD-9 codes (250.xx) across inpatient and outpatient records. Main exposures of interest included 125 Veterans Administration Medical Center (VAMC) catchment areas as well as racial/ethnic group. The main outcome measure was HbA1c level dichotomized at ≥8.0% (≥64 mmol/mol).

RESULTS

After adjustment for age, sex, racial/ethnic group, service-connected disability, marital status, and the van Walraven Elixhauser comorbidity score, the prevalence of uncontrolled diabetes varied by VAMC catchment area, with values ranging from 19.1% to 29.2%. Moreover, these differences largely persisted after further adjusting for medication use and adherence as well as utilization and access metrics. Racial/ethnic differences in diabetes control were also noted. In our final models, compared with non-Hispanic Whites, non-Hispanic Blacks (odds ratio 1.11 [95% credible interval 1.09-1.14]) and Hispanics (1.36 [1.09-1.14]) had a higher odds of uncontrolled HBA1c level.

CONCLUSIONS

In a national cohort of veterans with diabetes, we found geographic as well as racial/ethnic differences in diabetes control rates that were not explained by adjustment for demographics, comorbidity burden, use or type of diabetes medication, health care utilization, access metrics, or medication adherence. Moreover, disparities in suboptimal control appeared consistent across most, but not all, VAMC catchment areas, with non-Hispanic Black and Hispanic veterans having a higher odds of suboptimal diabetes control than non-Hispanic White veterans.

Social Equity and COVID-19: The Case of African Americans

Emerging statistics demonstrate that COVID-19 disproportionately affects African Americans. The effects of COVID-19 for this population are inextricably linked to areas of systemic oppression and disenfranchisement, which are exacerbated by COVID-19: (1) health care inequality; (2) segregation, overall health, and food insecurity; (3) underrepresentation in government and the medical profession; and (4) inequalities in participatory democracy and public engagement. Following a discussion of these issues, this essay shares early and preliminary lessons and strategies on how public administration scholars and practitioners can lead in crafting equitable responses to this global pandemic to uplift the African American community.

Systematic review and meta-analysis of patient race/ethnicity, socioeconomics, and quality for adult type 2 diabetes

OBJECTIVE

To review the evidence of the association between performance in eight indicators of diabetes care and a patient's race/ethnicity and socioeconomic characteristics.

DATA SOURCE

Studies of adult patients with type 2 diabetes in MEDLINE published between January 1, 2000, and December 31, 2018.

STUDY DESIGN

Systematic review and meta-analysis of regression-based studies including race/ethnicity and income or education as explanatory variables. Meta-analysis was used to quantify differences in performance associated with patient race/ethnicity or socioeconomic characteristics. The systematic review was used to identify potential mechanisms of disparities.

DATA COLLECTION

Two coauthors separately conducted abstract screening, study exclusions, data extraction, and scoring of retained studies. Estimates in retained studies were extracted and, where applicable, were standardized and converted to odds ratios and standard errors.

PRINCIPAL FINDINGS

Performance in intermediate outcomes and process measures frequently exhibited differences by race/ethnicity even after adjustment for socioeconomic, lifestyle, and health factors. Meta-analyses showed black patients had lower odds of HbA1c and blood pressure (BP) control (OR range: 0.67-0.68, P < .05) but higher odds of receiving eye or foot examination (OR range: 1.22-1.47, P < .05) relative to white patients. A high school degree or more was associated with higher odds of HbA1c control and receipt of eye examinations compared to patients without a degree. Meta-analyses of income included a handful of studies and were inconsistently associated with diabetes care performance. Differences in diabetes performance appear to be related to access-related factors such as uninsurance or lacking a usual source of care; food insecurity and trade-offs at very low incomes; and lower adherence among younger and healthier diabetes patients.

CONCLUSIONS

Patient race/ethnicity and education were associated with differences in diabetes quality measures. Depending on the approach used to rate providers, not adjusting for these patient characteristics may penalize or reward providers based on the populations they serve.

Sociodemographic disparities in the management of type 2 diabetes in the United States

Objective: To examine the potential sociodemographic disparities in type 2 diabetes (T2D) management and care among US adult individuals, after controlling for clinical and behavioral factors.Methods: This was a retrospective cohort study of individuals with T2D (N = 4552) from a linked database of the National Health and Wellness Survey and a large US ambulatory electronic health record (EHR) database. This study period was between 1 January 2015 and 31 December 2018 and individuals were followed up for at least 6 months through EHR after the completion of the survey. The sociodemographic characteristics included gender, race, ethnicity, marital status, education, employment status, household income, insurance status, and geographic region. The independent variables included testing and control of HbA1c, blood pressure (BP), and low-density lipoprotein-cholesterol (LDL-C); hypoglycemia, emergency room (ER) visits, and all-cause hospitalization. Multivariable analyses were conducted using generalized linear models.Results: The percentage of uncontrolled HbA1c was 38.6%. With clinical and behavioral characteristics adjusted, individuals living in the Northeast region had 30% higher odds of having HbA1c testing than those who lived in the South. Blacks and Asians were less likely to have HbA1c control than Whites. Uninsured individuals had a lower likelihood of receiving HbA1c, BP, or LDL-C testing compared with commercial insurers. Individuals with low income were more likely to have higher ER visits and hospitalizations.Conclusion: Potential sociodemographic disparities exist in T2D management and care in the US, indicating the needs for improvement in healthcare access, educational and behavioral programs, as well as disease and treatment management in these subgroups.

Connecting Social, Clinical, and Home Care Services for Persons with Serious Illness in the Community

The medical, psychological, cognitive, and social needs of older adults with serious illness are best met by coordinated and team-based services and support. These services are best provided in a seamless care model anchored by integrated biopsychosocial assessments focused on what matters to older adults and their social determinants of health; individualized care plans with shared goals; care provision and management; and quality measurement with continuous improvement. This model requires (1) racially and ethnically diverse healthcare professionals, including mental health and direct service workers, with training in aging and team collaboration; (2) an integrated network of community-based organizations (CBOs) providing in-home services; (3) an electronic communication platform that spans the system of providers and organizations with skilled technology staff; and (4) payment models that incentivize team-based care across the continuum of services, including CBOs, with adequate salaries and academic loan forgiveness to recruit and retain high-quality team members. Assuring that this model is effective requires ongoing quality assurance measures that include not only quality of care and utilization data to demonstrate cost offsets of service integration, but also quality of life for both the older adults and the family members caring for them. Although this may seem a lofty ideal in comparison with our current fragmented system, we review models that provide the key elements effectively and cost efficiently. We then propose an Essential Care Model that defines best practice in meeting the needs of older adults with serious illness and their families. J Am Geriatr Soc 67:S412-S418, 2019.

Determining the Impact of a Cancer Diagnosis on Diabetes Management: A Systematic Literature Review

OBJECTIVES

Cancer patients with comorbid diabetes have a 50% increased risk of all-cause mortality compared with cancer patients without diabetes. Less attention to diabetes management (glucose control, medication adherence, and diabetes self-management behaviors) during active cancer treatment is hypothesized as an explanation for worse outcomes among diabetic cancer patients. The objective of this systematic review is to determine and quantify how a cancer diagnosis impacts diabetes management.

METHODS

Quantitative and qualitative studies evaluating diabetes management among patients were identified by searching 4 databases: MEDLINE, EMBASE, The Cochrane Library, and Web of Science. Two independent reviewers extracted data and summarized results from eligible studies. Study quality was formally assessed.

RESULTS

Thirty-six studies met all inclusion criteria. We observed heterogeneity across studies in terms of study design, sample size, cancer site, type of diabetes management evaluated, and quality. Numerous articles discussed that overall, glucose control, medication adherence, and diabetes self-management behaviors declined following a cancer diagnosis. However, findings were inconsistent across studies.

CONCLUSIONS

Although the effects of a cancer diagnosis on diabetes management are mixed, when results across studies were synthesized together, diabetes management appeared to generally decline after a cancer diagnosis. Declines in diabetes management seem to be primarily due to shifts in the priority of care from diabetes management to cancer. A next critical step in this line of work is to identify patient and provider level predictors of better or worse diabetes management to design and test interventions aimed at improving effective diabetes management for cancer patients.

Disparities in healthcare services in women with endometriosis with public vs private health insurance

BACKGROUND

The goals of health disparities research are to identify facilitators and barriers to healthcare use to help eliminate health inequalities. There are few studies on disparities in healthcare access and use trends for patients with endometriosis that may lead to differences in appropriate care based on socioeconomic status.

OBJECTIVE

This retrospective, cross-sectional study was conducted to compare health services use patterns and prevalence of co-morbidities of women with endometriosis with public (government-based) vs private (purchased or provided by employer) health insurance.

STUDY DESIGN

A total of 342 deidentified datasets (171 randomly-selected cases per study group) from women with endometriosis 14-50 years old who were members of one health insurance company that provides both public and private health insurance coverage in Puerto Rico were analyzed. Patients were defined as having at least 1 endometriosis-related medical claim (ICD-9-617.xx; International Classification of Diseases, Ninth Revision, Clinical Modification) during the 3-year study period.

RESULTS

Medical service (eg, hospital, laboratory, pathology, and radiology) use trends were 3 times lower in the public vs the private sector. Women in the public sector were 3.5 times less likely to have a laparoscopy, 2.7 times more likely to be prescribed opioid/narcotics, and were the only study subjects reporting emergency department use. Obstetrics and gynecology services were used >2-fold less by women in the public (29.5%) vs the private sector (70.5%) (P=.087).

CONCLUSIONS

We report significant differences in the use trends of endometriosis-related medical services and prescriptions, indicating differences in healthcare access based on socioeconomic parameters. Our results support the development of public health programs to promote access to healthcare for patients with endometriosis irrespective of socioeconomic status and promote health disparity research in other healthcare systems.

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

BACKGROUND

Mobile- and Internet-delivered (collectively, digital) interventions are widely used by persons with diabetes (PWD) to assist with self-management and improve/maintain glycemic control (hemoglobin A1c [A1c]). However, evidence concerning the acceptance and benefits of such interventions among disadvantaged/vulnerable PWD is still quite limited.

PURPOSE OF REVIEW

We reviewed studies published from 2011-April 2019 evaluating the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes (T2D). Included studies reported ≥ 50% of the sample having a low socioeconomic status and/or being a racial/ethnic minority, or living in a rural setting or low-/middle-income country (LMIC). We identified 21 studies evaluating a digital intervention among disadvantaged/vulnerable PWD.

RECENT FINDINGS

Although many digital interventions found within-group A1c improvements (16 of 21 studies), only seven of the seventeen studies with a control group found between-group differences in A1c. Three studies found reductions in emergency room (ER) visits and hospitalizations. We synthesize this information, and provide recommendations for increasing access, and improving the design and usability of such interventions. We also discuss the role of human support in digital delivery, issues related to study design, reporting, economic value, and available research in LMICs. There is evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research is needed to substantiate these early findings, and many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.

Racial-Geographic Disparity in Lipid Management in Veterans with Type 2 Diabetes: A 10-Year Retrospective Cohort Study

Purpose: The prevalence of diabetes in U.S. veterans (20.5%) is nearly three times that of the general population. Minority veterans have higher rates of diabetes compared with their counterparts and urban/rural residence is also associated with uncontrolled cholesterol. However, the interplay between urban/rural residence and race/ethnicity on cholesterol control is unclear.

Methods: Veterans Health Administration Corporate Data Warehouse and Centers for Medicare and Medicaid data were used to create unique dataset and perform longitudinal study of veterans with type 2 diabetes from 2006 to 2016. Logistic regression was used to model the association between low-density lipoprotein (LDL) control and the primary exposures (race/ethnicity and location of residence) after adjusting for all measured covariates, including the interaction between location of residence and race/ethnicity.

Results: There was a significant interaction between race/ethnicity and rural residence. Rural non-Hispanic Black (NHB) veterans had higher odds for LDL >100 mg/dL (odds ratio [OR]=1.70, 95% confidence interval [CI] 1.50–1.60) and for LDL >70 mg/dL (OR=1.59, 95% CI 1.53–1.64) compared with urban non-Hispanic White (NHW) veterans. Similarly, compared with urban NHW, urban NHB veterans had higher odds of LDL >100 mg/dL (OR=1.45, 95% CI 1.43–1.47) and LDL >70 mg/dL (OR=1.36, 95% CI 1.34–1.38).

Conclusion: This study highlights health disparities for veterans with type 2 diabetes. Future research is needed to evaluate interventions for mitigating these disparities in cholesterol management among veterans with diabetes.

Effectiveness of Technologically Enhanced Peer Support in Improving Glycemic Management Among Predominantly African American, Low-Income Adults With Diabetes

PURPOSE

The purpose of the study was to examine whether a peer coaching intervention is more effective in improving clinical outcomes in diabetes when enhanced with e-health educational tools than peer coaching alone.

METHODS

The effectiveness of peer coaches who used an individually tailored, interactive, web-based tool (iDecide) was compared with peer coaches with no access to the tool. Two hundred and ninety Veterans Affairs patients with A1C ≥8.0% received a 6-month intervention with an initial session with a fellow patient trained to be a peer coach, followed by weekly phone calls to discuss behavioral goals. Participants were randomized to coaches who used iDecide or coaches who used nontailored educational materials at the initial session. Outcomes were A1C (primary), blood pressure, and diabetes social support (secondary) at 6 and 12 months.

RESULTS

Two hundred and fifty-five participants (88%) completed 6-month and 237 (82%) 12-month follow-up. Ninety-eight percent were men, and 63% were African American. Participants in both groups improved A1C values (>-0.6%, P < .001) at 6 months and maintained these gains at 12-month follow-up ( >-0.5%, P < .005). Diabetes social support was improved at both 6 and 12 months ( P < .01). There were no changes in blood pressure.

CONCLUSIONS

Clinical gains achieved through a volunteer peer coach program were not increased by the addition of a tailored e-health educational tool.

Characterization of Patients in a Lifestyle Medicine Practice

Objective. Lifestyle medicine is a relatively new specialty within medicine. The aim of this report is to characterize patients who present to a lifestyle medicine clinical practice. Methods. LifeStyle Medical Centers is an independent, community-based practice; this report is based on over 3200 patients within this practice. Most of the data presented were obtained from an intake questionnaire developed by the practice to provide background and screening particularly relevant to lifestyle medicine, including areas such as stress, sleep, physical activity, health knowledge, motivation, weight loss history and goals, and smoking. Results. Patients who present for lifestyle care come with varied goals, past histories, and current lifestyle issues. Many express a very high level of motivation to lose an unrealistically large amount of weight. The prevalence of physical inactivity, inadequate sleep, high stress, and risk of depression are high, yet the importance of these to health and well-being are often not recognized by the patient. Over 90% of the cost of care was covered by insurance. Conclusions. Having a better understanding of the patients who come to a lifestyle medicine clinic will help practices better design their lifestyle programs and guide lifestyle medicine providers to better engagement and care of their patients.

Associations between Race/Ethnicity, Uterine Fibroids, and Minimally Invasive Hysterectomy in the VA Healthcare System

BACKGROUND

In the general population, Black and Latina women are less likely to undergo minimally invasive hysterectomy than White women, which may be related to racial/ethnic variation in fibroid prevalence and characteristics. Whether similar differences exist in the Department of Veterans Affairs Healthcare System (VA) is unknown.

METHODS

Using VA clinical and administrative data, we identified all women veterans undergoing hysterectomy for benign indications in fiscal years 2012-2014. We identified hysterectomy route (laparoscopic with/without robot-assist, vaginal, abdominal) by International Classification of Diseases, 9th edition, codes. We used multinomial logistic regression to estimate associations of race/ethnicity with hysterectomy route and tested whether associations varied by fibroid diagnosis using an interaction term. Models adjusted for age, income, body mass index, gynecologic diagnoses, medical comorbidities, whether procedure was performed or paid for by VA, geographic region, and fiscal year.

RESULTS

Among 2,744 identified hysterectomies, 53% were abdominal, 29% laparoscopic, and 18% vaginal. In multinomial models, racial/ethnic differences were present among veterans with but not without fibroid diagnoses (p value for interaction < .001). Among veterans with fibroids, Black veterans were less likely than White veterans to have minimally invasive hysterectomy (laparoscopic vs. abdominal relative risk ratio [RRR], 0.52; 95% CI, 0.38-0.72; vaginal vs. abdominal RRR, 0.58; 95% CI, 0.43-0.73). Latina veterans were as likely as White veterans to have laparoscopic as abdominal hysterectomy (RRR, 1.34; 95% CI, 0.87-2.07) and less likely to have vaginal than abdominal hysterectomy (RRR, 0.32; 95% CI, 0.15-0.69).

CONCLUSIONS

Receipt of minimally invasive hysterectomy among women veterans with fibroids varied by race/ethnicity. Further investigation of the underlying mechanisms and potential interventions to increase minimally invasive hysterectomy among minority women veterans is needed.

Differences in cancer survival among white and black cancer patients by presence of diabetes mellitus: Estimations based on SEER-Medicare-linked data resource

Diabetes prevalence and racial health disparities in the diabetic population are increasing in the US. Population‐based cancer‐specific survival estimates for cancer patients with diabetes have not been assessed. The Surveillance, Epidemiology, and End Results (SEER)‐Medicare linkage provided data on cancer‐specific deaths and diabetes prevalence among 14 separate cohorts representing 1 068 098 cancer patients ages 66 +  years diagnosed between 2000 and 2011 in 17 SEER areas. Cancer‐specific survival estimates were calculated by diabetes status adjusted by age, stage, comorbidities, and cancer treatment, and stratified by cancer site and sex with whites without diabetes as the reference group. Black patients had the highest diabetes prevalence particularly among women. Risks of cancer deaths were increased across most cancer sites for patients with diabetes regardless of race. Among men the largest effect of having diabetes on cancer‐specific deaths were observed for black men diagnosed with Non‐Hodgkin lymphoma (NHL) (HR = 1.53, 95%CI = 1.33‐1.76) and prostate cancer (HR = 1.37, 95%CI = 1.32‐1.42). Diabetes prevalence was higher for black females compared to white females across all 14 cancer sites and higher for most sites when compared to white and black males. Among women the largest effect of having diabetes on cancer‐specific deaths were observed for black women diagnosed with corpus/uterus cancer (HR = 1.66, 95%CI = 1.54‐1.79), Hodgkin lymphoma (HR = 1.62, 95%CI = 1.02‐2.56) and breast ER+ (HR = 1.39, 95%CI = 1.32‐1.47). The co‐occurrence of diabetes and cancer significantly increases the risk of cancer death. Our study suggests that these risks may vary by cancer site, and indicates the need for future research to address racial and sex disparities and enhance understanding how prevalent diabetes may affect cancer deaths.

Patient and Facility Correlates of Racial Differences in Viral Control for Black and White Veterans with HIV Infection in the Veterans Administration

Black persons with HIV are less likely than white persons to experience viral control even while in treatment. We sought to understand whether patient characteristics and site of care explain these differences using a cross-sectional analysis of medical records. Our cohort included 8779 black and 7836 white patients in the Veterans Administration (VA) health system with HIV who received antiretroviral medication during 2013. Our primary outcome, viral control, was defined as HIV serum RNA <200 copies/mL. We examined the degree to which racial differences in viral control are related to site of care, patient characteristics (demographics, HIV treatment history, comorbid conditions, time in care, and medication adherence), retention in care, and combination antiretroviral therapy (cART) adherence, using multi-variable logistic regression models. Compared to whites, blacks were younger and had lower CD4 counts, more comorbidities, lower retention in care, and poorer medication adherence. The odds of uncontrolled viral load were 2.02 (p < 0.001) for black relative to white patients without risk adjustment (15% vs. 8% uncontrolled viral load, respectively). The odds decreased to 1.83 (p < 0.001), 1.65 (p < 0.001), 1.62 (p < 0.001), and 1.24 (p = 0.01) in models that sequentially controlled for site of care, age and clinical characteristics, care retention, and cART adherence, respectively. Overall, 51% of the viral control difference between blacks and whites was accounted for by adherence; 26% by site of care. We conclude that differences in the site of HIV care and cART adherence account for most of the difference in viral control between black and white persons receiving HIV care, although the exact pathway by which this relationship occurs is unknown. Targeting poorer performing sites for quality improvement and focusing on improving antiretroviral adherence in black patients may help alleviate disparities in viral control.

Overtreatment and Deintensification of Diabetic Therapy among Medicare Beneficiaries

BACKGROUND

Deintensification of diabetic therapy is often clinically appropriate for older adults, because the benefit of aggressive diabetes treatment declines with age, while the risks increase.

OBJECTIVE

We examined rates of overtreatment and deintensification of therapy for older adults with diabetes, and whether these rates differed by medical, demographic, and socioeconomic characteristics.

DESIGN, SUBJECTS, AND MAIN MEASURES

We analyzed Medicare claims data from 10 states, linked to outpatient laboratory values to identify patients potentially overtreated for diabetes (HbA1c < 6.5% with fills for any diabetes medications beyond metformin, 1/1/2011-6/30/2011). We examined characteristics associated with deintensification for potentially overtreated diabetic patients. We used multinomial logistic regression to examine whether patient characteristics associated with overtreatment of diabetes differed from those associated with undertreatment (i.e. HbA1c > 9.0%).

KEY RESULTS

Of 78,792 Medicare recipients with diabetes, 8560 (10.9%) were potentially overtreated. Overtreatment of diabetes was more common among those who were over 75 years of age and enrolled in Medicaid (p < 0.001), and was less common among Hispanics (p = 0.009). Therapy was deintensified for 14% of overtreated diabetics. Appropriate deintensification of diabetic therapy was more common for patients with six or more chronic conditions, more outpatient visits, or living in urban areas; deintensification was less common for those over age 75. Only 6.9% of Medicare recipients with diabetes were potentially undertreated. Variables associated with overtreatment of diabetes differed from those associated with undertreatment.

CONCLUSIONS

Medicare recipients are more frequently overtreated than undertreated for diabetes. Medicare recipients who are overtreated for diabetes rarely have their regimens deintensified.

Longitudinal trends and predictors of statin use among patients with diabetes

AIM

Statins reduce morbidity and mortality among patients with diabetes, but their use remains suboptimal. Understanding trends in statin use may inform strategies for improvement.

METHODS

We enrolled a national, retrospective cohort of 899,664 veterans aged≥40years with diabetes in 2003. We followed them through 2011, dividing the nine-year follow-up into 90-day periods. For each period, we determined statin use, defined as possession of ≥30-day supply. We examine factors associated with statin uptake among baseline non-users with a multivariate model.

RESULTS

Baseline prevalence of statin use was 43%, increased by 1.8% per period (p for trend<0.001), and reached a maximum of ~59%. Statin use among non-Hispanic racial/ethnic minorities lagged behind their white counterparts. Among baseline non-users, statin use was 9% after Year 1 and reached 36% by Year 9. Factors associated with statin uptake included use of hypoglycemic agents, HbA1c between 7 and 8.9% (53-74mmol/mol), hypertension, heart failure, peripheral vascular disease, and Hispanic ethnicity.

CONCLUSION

Statin use is slowly increasing among patients with diabetes, and at varying rates within subgroups of this population. Policies that prioritize these subgroups for statin promotion may help guide future, intervention-based research to increase compliance with current guidelines.

African Americans, African Immigrants, and Afro-Caribbeans Differ in Social Determinants of Hypertension and Diabetes: Evidence from the National Health Interview Survey

In the United States (U.S.), Blacks have higher morbidity and mortality from cardiovascular disease (CVD) than other racial groups. The Black racial group includes African Americans (AAs), African immigrants (AIs), and Afro-Caribbeans (ACs); however, little research examines how social determinants differentially influence CVD risk factors in each ethnic subgroup. We analyzed the 2010-2014 National Health Interview Survey, a cross-sectional, nationally representative survey of non-institutionalized civilians. We included 40,838 Blacks: 36,881 AAs, 1660 AIs, and 2297 ACs. Age- and sex-adjusted hypertension prevalence was 37, 22, and 21% in AAs, ACs, and AIs, respectively. Age- and sex-adjusted diabetes prevalence was 12, 10, and 7% in AAs, ACs, and AIs, respectively. In the multivariable logistic regression analyses, social determinants of hypertension and diabetes differed by ethnicity. Higher income was associated with lower odds of hypertension in AAs (aOR 0.86, 95% CI 0.77-0.96) and ACs (aOR 0.55, 95% CI 0.37-0.83). In AAs, those with some college education (aOR 0.79, 95% CI 0.68-0.92) and college graduates (aOR 0.62, 95% CI 0.53-0.73) had lower odds of hypertension than those with < high school education. In AIs, having health insurance was associated with higher odds of hypertension (aOR 1.59, 95% CI 1.04-2.42) and diabetes (aOR 3.22, 95% CI 1.29-8.04) diagnoses. We observed that the social determinants associated with hypertension and diabetes differed by ethnicity. Socioeconomic factors of health insurance and income were associated with a disparate prevalence of hypertension by ethnic group. Future research among Blacks should stratify by ethnicity to adequately address the contributors to health disparities.

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.

Association of Practice-Level Social and Medical Risk With Performance in the Medicare Physician Value-Based Payment Modifier Program

IMPORTANCE

Medicare recently launched the Physician Value-Based Payment Modifier (PVBM) Program, a mandatory pay-for-performance program for physician practices. Little is known about performance by practices that serve socially or medically high-risk patients.

OBJECTIVE

To compare performance in the PVBM Program by practice characteristics.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional observational study using PVBM Program data for payments made in 2015 based on performance of large US physician practices caring for fee-for-service Medicare beneficiaries in 2013.

EXPOSURES

High social risk (defined as practices in the top quartile of proportion of patients dually eligible for Medicare and Medicaid) and high medical risk (defined as practices in the top quartile of mean Hierarchical Condition Category risk score among fee-for-service beneficiaries).

MAIN OUTCOMES AND MEASURES

Quality and cost z scores based on a composite of individual measures. Higher z scores reflect better performance on quality; lower scores, better performance on costs.

RESULTS

Among 899 physician practices with 5 189 880 beneficiaries, 547 practices were categorized as low risk (neither high social nor high medical risk) (mean, 7909 beneficiaries; mean, 320 clinicians), 128 were high medical risk only (mean, 3675 beneficiaries; mean, 370 clinicians), 102 were high social risk only (mean, 1635 beneficiaries; mean, 284 clinicians), and 122 were high medical and social risk (mean, 1858 beneficiaries; mean, 269 clinicians). Practices categorized as low risk performed the best on the composite quality score (z score, 0.18 [95% CI, 0.09 to 0.28]) compared with each of the practices categorized as high risk (high medical risk only: z score, -0.55 [95% CI, -0.77 to -0.32]; high social risk only: z score, -0.86 [95% CI, -1.17 to -0.54]; and high medical and social risk: -0.78 [95% CI, -1.04 to -0.51]) (P < .001 across groups). Practices categorized as high social risk only performed the best on the composite cost score (z score, -0.52 [95% CI, -0.71 to -0.33]), low risk had the next best cost score (z score, -0.18 [95% CI, -0.25 to -0.10]), then high medical and social risk (z score, 0.40 [95% CI, 0.23 to 0.57]), and then high medical risk only (z score, 0.82 [95% CI, 0.65 to 0.99]) (P < .001 across groups). Total per capita costs were $9506 for practices categorized as low risk, $13 683 for high medical risk only, $8214 for high social risk only, and $11 692 for high medical and social risk. These patterns were associated with fewer bonuses and more penalties for high-risk practices.

CONCLUSIONS AND RELEVANCE

During the first year of the Medicare Physician Value-Based Payment Modifier Program, physician practices that served more socially high-risk patients had lower quality and lower costs, and practices that served more medically high-risk patients had lower quality and higher costs.

Diabetes and the hospitalized patient : A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011

In the US, one in four adults has two or more chronic conditions; this population accounts for two thirds of healthcare spending. Comorbidity, the presence of multiple simultaneous health conditions in an individual, is increasing in prevalence and has been shown to impact patient outcomes negatively. Comorbidities associated with diabetes are correlated with increased incidence of preventable hospitalizations, longer lengths of stay (LOS), and higher costs. This study focuses on sex and race disparities in outcomes for hospitalized adult patients with and without diabetes. The objective is to characterize the impact of comorbidity burden, measured as the Charlson Weighted Index of Comorbidities (WIC), on outcomes including LOS, total charges, and disposition (specifically, probability of routine discharge home). Data from the National Inpatient Sample (2006-2011) were used to build a cluster-analytic framework which integrates cluster analysis with multivariate and logistic regression methods, for several goals: (i) to evaluate impact of these covariates on outcomes; (ii) to identify the most important comorbidities in the hospitalized population; and (iii) to create a simplified WIC score. Results showed that, although hospitalized women had better outcomes than men, the impact of diabetes was worse for women. Also, non-White patients had longer lengths of stay and higher total charges. Furthermore, the simplified WIC performed equivalently in the generalized linear models predicting standardized total charges and LOS, suggesting that this new score can sufficiently capture the important variability in the data. Our findings underscore the need to evaluate the differential impact of diabetes on physiology and treatment in women and in minorities.

Diabetes, hypertension, obesity, and long-term risk of renal disease mortality: Racial and socioeconomic differences

AIMS/INTRODUCTION

Diabetes, hypertension, and obesity increase the risk of chronic kidney disease and associated mortality. Race and socioeconomic status (SES) differences in the effects of these risk factors are, however, still unknown. The current study aimed to investigate whether or not race and SES alter the effects of diabetes, hypertension, and obesity on mortality due to renal disease.

MATERIALS AND METHODS

Data came from the Americans' Changing Lives Study, 1986-2011, a nationally representative prospective cohort of adults with 25 years of follow up. The study included 3,361 adults aged 25 years and older who were followed for up to 25 years. The outcome was death from renal disease. Diabetes, hypertension, and obesity were the main predictors. Race and SES (education, income, and employment) were moderators. Health behaviors and health status at baseline were covariates. We used Cox proportional hazards models for data analysis.

RESULTS

In separate models, diabetes, hypertension, and obesity at baseline were associated with a higher risk of death from renal disease. From our SES indicators, education and income interacted with diabetes, hypertension, and obesity on death from renal disease. In a consistent pattern, diabetes, hypertension, and obesity showed stronger effects on the risk of death from renal disease among high-SES groups compared with low-SES individuals. Race and employment did not alter the effects of diabetes, hypertension and obesity on the risk of death from renal disease.

CONCLUSIONS

Social groups differ in how diabetes, hypertension, and obesity influence health outcomes over long-term periods. Elimination of disparities in renal disease mortality in the USA requires understanding of the complex and non-linear effects of socioeconomic and medical risk factors on health outcomes. Multidisciplinary programs and policies are required to reduce social inequality in renal disease burden caused by diabetes, hypertension, and obesity.

Study protocol: The Technology-Enhanced Coaching (TEC) program to improve diabetes outcomes - A randomized controlled trial

Background

Racial and ethnic minority adults with diabetes living in under-resourced communities face multiple barriers to sustaining self-management behaviors necessary to improve diabetes outcomes. Peer support and decision support tools each have been associated with improved diabetes outcomes.

Methods

290 primarily African American adults with poor glycemic control were recruited from the Detroit Veteran's Administration Hospital and randomized to Technology-Enhanced Coaching (TEC) or Peer Coaching alone. Participants in both arms were assigned a peer coach trained in autonomy-supportive approaches. Coaches are diabetes patients with prior poor glycemic control who now have good control. Participants met face-to-face initially with their coach to review diabetes education materials and develop an action plan. Educational materials in the TEC arm are delivered via a web-based, educational tool tailored with each participant's personalized health data (iDecide). Over six months, coaches call their assigned participants once a week to provide support for weekly action steps. Data are also collected on an Observational Control group with no contact with study staff. Changes in A1c, blood pressure, other patient-centered outcomes and mediators and moderators of intervention effects will be assessed.

Results

290 participants were enrolled.

Discussion

Tailored e-Health tools with educational content may enhance the effectiveness of peer coaching programs to better prepare patients to set self-management goals, identify action plans, and discuss treatment options with their health care providers. The study will provide insights for scalable self-management support programs for diabetes and chronic illnesses that require high levels of sustained patient self-management.

Race and contrast-induced nephropathy in patients undergoing coronary angiography and cardiac catheterization

Contrast-induced nephropathy (CIN) is an acute worsening of renal function after receiving intravascular contrast during a procedure. Some of the predisposing factors include underlying diabetes, chronic kidney disease, congestive heart failure, periprocedural hypotension, anemia, contrast volume, and osmolality of contrast; however, it remains unclear if risk varies for CIN with race and ethnicity. There is evidence in the literature showing the link between race/ethnicity and the discrepancies in the utilization of preventive care services and the resources related to cardiovascular and renal health. While these disparities continue to exist and affect some of the predictors of CIN, this review will explore the extent to which race and ethnicity directly affect CIN.

Complementary and alternative medicine (CAM) use among non-Hispanic white, Mexican American, and Vietnamese American patients with type 2 diabetes

PURPOSE

This study examines the use of complementary and alternative medicine (CAM) by ethnicity/race among patients with type 2 diabetes.

SUBJECTS AND METHODS

Four hundred and ten (410) patients with type 2 diabetes recruited from an academic-medical center completed a survey assessing CAM use, diabetes status, and sociodemographic characteristics.

RESULTS

Several significant ethnic/racial differences were observed in CAM use (both in the types of providers seen as well as in the herbs and dietary supplements used). Although White patients reported using CAM in addition to their diabetes medication (mean [SD] 4.9 [0.4] on a scale from 1=never to 5=always) more frequently than Mexican American patients (3.1 [1.6], p<.05), Mexican American patients (1.4 [1.1]) used CAM instead of their diabetes medications more frequently than non-Hispanic White patients (1.0 [0.1], p<.05). More Mexican American (66.7%) and Vietnamese American patients (73.7%) than non-Hispanic Whites (11.8%, p=.002) described CAM practitioners as being closer to their cultural traditions than Western practitioners, whereas Vietnamese [End Page 1941] patients were more likely to describe use of herbs and supplements as closer to their cultural traditions (84.5% versus 15.3% for White and 30.9% for Mexican American patients, p <.001).

CONCLUSIONS

Considering the variability and perceptions in CAM use, providers should discuss with their patients how their CAM use may influence diabetes management behaviors.

Racial/Ethnic Disparities in Primary Care Quality Among Type 2 Diabetes Patients, Medical Expenditure Panel Survey, 2012

INTRODUCTION

Racial and ethnic disparities exist in diabetes prevalence, access to diabetes care, diabetes-related complications and mortality rates, and the quality of diabetes care among Americans. We explored racial and ethnic disparities in primary care quality among Americans with type 2 diabetes.

METHODS

We analyzed data on adults with type 2 diabetes derived from the household component of the 2012 Medical Expenditure Panel Survey. Multiple regression and multivariate logistic regressions were used to examine the association between race/ethnicity and primary care attributes related to first contact, longitudinality, comprehensiveness, and coordination, and clusters of confounding factors were added sequentially.

RESULTS

Preliminary findings indicated differences in primary care quality between racial/ethnic minorities and whites across measures of first contact, longitudinality, comprehensiveness, and coordination. After controlling for confounding factors, these differences were no longer apparent; all racial/ethnic categories showed similar rates of primary care quality according to the 4 primary care domains of interest in the study.

CONCLUSION

Results indicate equitable primary care quality for type 2 diabetes patients across 4 key domains of primary care after controlling for socioeconomic characteristics. Additional research is necessary to support these findings, particularly when considering smaller racial/ethnic groups and investigating outcomes related to diabetes.

Insurance, racial/ethnic, SES-related disparities in quality of care among US adults with diabetes

Diabetes-related quality improvement initiatives are typically aimed at improving outcomes and reducing complications. Studies have found that disparities in quality persist for certain racial/ethnic and socioeconomically disadvantaged groups; however, results are mixed with regard to insurance-based differences. The purpose of this study is to investigate the independent associations between type of health insurance coverage, race/ethnicity, and socioeconomic status (SES), and quality of care, as measured by benchmark indicators of diabetes-related primary care. This study used the Diabetes Care Survey of the 2010 Medical Expenditure Panel Survey. Bivariate and multivariate logistic regressions were used to examine the association between quality of diabetes care and type of insurance coverage, race/ethnicity, and SES. Multivariate analyses also controlled for additional demographic and health status characteristics. Respondents with insurance coverage (particularly those with private insurance or with Medicare and Medicaid coverage) were more likely to receive quality diabetes care than uninsured individuals. Few significant disparities based on race/ethnicity or SES persisted in subsequent multivariate analyses. Findings suggest that insurance coverage may make the greatest impact in ensuring equitable distribution of quality diabetes care, regardless of race/ethnicity or socioeconomic status. With the implementation of Affordable Care Act under which more people could potentially gain access to insurance, policymakers should next track insurance-based diabetes care disparities.

Diabetes Connect: African American Women's Perceptions of the Community Health Worker Model for Diabetes Care

Community health worker (CHW) interventions have potential to improve diabetes outcomes and reduce health disparities. However, few studies have explored patient perspectives of peer-delivered diabetes programs. The purpose of this qualitative study is to investigate possible benefits as well as risks of CHW-delivered peer support for diabetes from the perspectives of African American women living with type 2 diabetes in Jefferson County, Alabama. Four ninety-minute focus groups were conducted by a trained moderator with a written guide to facilitate discussion on the topic of CHWs and diabetes management. Participants were recruited from the diabetes education database at a safety-net hospital. Two independent reviewers performed content analysis to identify major themes using a combined deductive-inductive approach. There were 25 participants. Mean years with diabetes was 11.2 (range 6 months to 42 years). Participants were knowledgeable about methods for self-management but reported limited resources and stress as major barriers. Preferred CHW roles included liaison to the healthcare system and easily accessible information source. Participants preferred that the CHW be knowledgeable and have personal experience managing their own diabetes or assisting a family member with diabetes. Concerns regarding the CHW-model were possible breaches of confidentiality and privacy. The self-management strategies and barriers to management identified by participants were reflected in their preferred CHW roles and traits. These results suggest that African American women with diabetes in Alabama would support peer-led diabetes education that is community-based and socially and emotionally supportive.

Ethnicity, Socioeconomic Status, and Health Disparities in a Mixed Rural-Urban US Community-Olmsted County, Minnesota

OBJECTIVE

To characterize health disparities in common chronic diseases among adults by socioeconomic status (SES) and ethnicity in a mixed rural-urban community of the United States.

PATIENTS AND METHODS

We conducted a cross-sectional study to assess the association of the prevalence of the 5 most burdensome chronic diseases in adults with SES and ethnicity and their interaction. The Rochester Epidemiology Project medical records linkage system was used to identify the prevalence of coronary heart disease, asthma, diabetes, hypertension, and mood disorder using International Classification of Diseases, Ninth Revision codes recorded from January 1, 2005, through December 31, 2009, among all adult residents of Olmsted County, Minnesota, on April 1, 2009. For SES measurements, an individual HOUsing-based index of SocioEconomic Status (HOUSES) derived from real property data was used. Logistic regression models were used to examine the association of the prevalence of chronic diseases with ethnicity and HOUSES score and their interaction.

RESULTS

We identified 88,010 eligible adults with HOUSES scores available, of whom 48,086 (54.6%) were female and 80,699 (91.7%) were non-Hispanic white; the median (interquartile range) age was 45 years (30-58 years). Overall and in the subgroup of non-Hispanic whites, SES measured by HOUSES was inversely associated with the prevalence of all 5 chronic diseases independent of age, sex, and ethnicity (P<.001). While an association of ethnicity with disease prevalence was observed for all the chronic diseases, SES modified the effect of ethnicity for clinically less overt conditions (interaction P<.05 for each condition [diabetes, hypertension, and mood disorder]) but not for coronary heart disease, a clinically more overt condition.

CONCLUSION

In a mixed rural-urban setting with a predominantly non-Hispanic white population, health disparities in chronic diseases still exist across SES. The extent to which SES modifies the effect of ethnicity on the risk of chronic diseases may depend on the nature of the disease.

Structure, process, and outcomes of care in a telemonitoring program for patients with type 2 diabetes

Background

Using Donabedian’s structure-process-outcomes (SPO) framework, this descriptive, exploratory study examined the structure of a telemonitoring program in a population of patients with type 2 diabetes (T2D), the process of nurse–patient telephonic interactions, and patients’ clinical outcomes.

Methods

Secondary data analysis was conducted using data from 581 patients who participated in a home telemonitoring program for 12 months. Three point-biserial and six Pearson correlations were estimated to determine how patient demographics related to clinical characteristics. Mixed model regressions were conducted predicting hemoglobin A_1c (HbA_1c), systolic blood pressure (SBP), and diastolic blood pressure (DBP) levels at 6, 9, and 12 months based on the frequency of contact in the earlier 3 months. Analysis of variances were conducted to assess if the frequency of contact was significantly different by change in HbA_1c levels from 3 to 6, 6 to 9, and 9 to 12 months.

Results

Significant negative correlations were found between age and HbA_1c (r=−0.10, P=0.015) and DBP (r=−0.16, P<0.001), a significant positive correlation was found between age and SBP (r=0.15, P=0.001). A significant correlation was found between sex and DBP (r_pb=−0.11, P=0.015); female participants had lower DBP levels than males. Frequency of contact was not related to the change in clinical outcomes. However, the frequency of contact for the time period 3 to 6 months was associated with change in HbA_1c for the 6- to 9- month period and frequency of contact during the 6- to 9- month period was associated with change in HbA_1c from 9 to 12 months.

Conclusion

Examination of the SPO measures in the telemonitoring environment assisted in understanding the effectiveness of this type of unique intervention and the need for further in-depth exploration of self-management techniques among individuals with T2D.