Addressing Structural Inequalities, Structural Racism, and Social Determinants of Health: a Vision for the Future.

Significant national discourse has focused on the idea of structural inequalities and structural racism within a variety of societal sectors, including healthcare. This perspective provides an understanding of the historic and pervasive nature of structural inequalities and structural racism; uses well-known frameworks in health equity research for conceptualizing structural inequality and structural racism; offers a summary of the consequences of structural inequalities and structural racism on modern-day health outcomes; and concludes with strategies and suggestions for a way forward. Recommended strategies across different sectors of influence include (a) employment and economic empowerment sector: creating capacity for individuals to earn livable wages; (b) education sector: developing new funding structures to ensure equal opportunities are offered to all; (c) healthcare sector: prioritizing universal access to high-quality health care, including mental health treatment; (d) housing sector: improving access to affordable, safe housing through public-private partnerships; (e) criminal justice sector: focusing reform on restorative justice that is people-centric instead of punitive; and (f) environmental sector: creating sustainable systems that alleviate downstream consequences of climate change. The recommended strategies account for the mutually reinforcing and pervasive nature of structural inequalities/structural racism and target key sectors of influence to enhance overall health outcomes and achieve equity regardless of race, ethnicity, or socioeconomic status.

Identifying Individuals with Highest Social Risk in Adults with Type 2 Diabetes Using Item Response Theory.

OBJECTIVE: The aim of this analysis was to create a parsimonious tool to screen for high social risk using item response theory to discriminate across social risk factors in adults with type 2 diabetes. METHODS: Cross-sectional data of 615 adults with diabetes recruited from two primary care clinics were used. Participants completed assessments including validated scales on economic instability (financial hardship), neighborhood and built environment (crime, violence, neighborhood rating), education (highest education, health literacy), food environment (food insecurity), social and community context (social isolation), and psychological risk factors (perceived stress, depression, serious psychological distress, diabetes distress). Item response theory (IRT) models were used to understand the association between a participant's underlying level of a particular social risk factor and the probability of that response. A two-parameter logistic IRT model was used with each of the 12 social determinant factors being added as a separate parameter in the model. Higher values in item discrimination indicate better ability of a specific social risk factor in differentiating participants from each other. RESULTS: Rate of crime reported in a neighborhood (discrimination 3.13, SE 0.50; item difficulty - 0.68, SE 0.07) and neighborhood rating (discrimination 4.02, SE 0.87; item difficulty - 1.04, SE 0.08) had the highest discrimination. CONCLUSIONS: Based on these findings, crime and neighborhood rating discriminate best between individuals with type 2 diabetes who have high social risk and those with low social risk. These two questions can be used as a parsimonious social risk screening tool to identify high social risk.

Understanding the relationship between perceived discrimination and mortality in United States adults.

OBJECTIVE: To understand the relationship between mortality and three types of perceived discrimination (lifetime, daily, chronic job) using a nationally representative sample of U.S. adults. METHODS: Data from 4562 adults in the Midlife in the United States (MIDUS) between 2004 and 2006 (MIDUS II and MIDUS African American sample) were analyzed. Unadjusted associations between primary independent discrimination variables (lifetime, chronic job, daily) and mortality were analyzed using univariate Cox's proportional hazards regression models. Covariates were added to the models by group: predisposing (sex, age, race/ethnicity, education, marital status); enabling (household income, employment status, insurance status); and need factors (body mass index, diabetes, hypertension, stroke, cancer) to estimate hazard ratios. RESULTS: After adjusting for all covariates, hazard ratios for lifetime discrimination (HR: 1.09, p = 0.034) and daily discrimination (HR: 1.03, p = 0.030) were statistically significant. There was no relationship between mortality and chronic job discrimination (HR:1.03, p = 0.15). CONCLUSIONS: Adults experiencing lifetime and daily discrimination had significantly increased risk of mortality after adjusting for predisposing, enabling, and need factors. The findings highlight the importance of screening patients during clinical encounters for experiences of discrimination and providing appropriate resources to mitigate the negative impact of discriminatory events on mortality. Future research should work to fully understand the mechanism by which discrimination increases risk of mortality. These future findings should be used to develop targets for interventions designed to decrease mortality among adults who have experienced discrimination.

Examining the Relationship between Social Determinants of Health and Adverse Pregnancy Outcomes in Black Women.

OBJECTIVE: Our objective was to examine associations between social determinants of health (cultural, neighborhood, and psychosocial factors) and adverse pregnancy outcomes (gestational age at birth [GAB], preterm birth [PTB], and preeclampsia) in Black women. STUDY DESIGN: Cross-sectional data (n = 204) comprised adult Black women aged ≥18 years who delivered between 2013 and 2022 in Milwaukee,Wisconsin. Sequential unadjusted linear and logistic regression models were run to evaluate associations between social determinants of health and pregnancy outcomes. Stepwise regressions with forward selection were run to test the contribution of the social determinants of health to adverse pregnancy outcomes, independent of the contribution of established risk factors. RESULTS: Mean GAB was 37.9 weeks, 19.6% had a PTB and 17.7% had preeclampsia. In all fully adjusted models, education (ß0.15, 95% confidence interval [CI]: 0.005, 0.29), nulliparity (ß -1.26, 95%CI: -2.08, -0.44), multifetal gestation (ß -2.67, 95% CI: -4.29, -1.05), and exposure to neighborhood violence (ß -0.13, 95%CI: -0.25, -0.005) were associated with shortened GAB. Education (adjusted odds ratio [aOR]: 0.83, 95%CI: 0.69, 0.99), provider trust (aOR: 0.94, 95%CI: 0.88, 0.99), chance health locus of control (aOR: 0.88, 95%CI: 0.78, 0.99), and anxiety (aOR: 0.81, 95%CI: 0.69, 0.95) were associated with reduced odds of PTB. Powerful others health locus of control (aOR: 1.16, 95%CI: 1.03, 1.32), depression (aOR: 1.17, 95%CI: 1.01, 1.34), nulliparity (aOR: 4.73, 95%CI: 1.79, 12.55), multifetal gestation (aOR: 17.78, 95%CI: 3.49, 90.50), diabetes (aOR: 4.71, 95%CI: 1.17, 19.00), and obstructive sleep apnea (aOR: 44.28, 95%CI: 2.50, 783.12) were associated with increased odds of PTB. Internal health locus of control (aOR: 1.13, 95%CI: 1.01, 1.25), depression (aOR: 1.09, 95%CI: 1.01, 1.17), preeclampsia in a previous pregnancy (aOR: 5.96, 95% CI: 2.22, 16.01), and kidney disease (aOR: 34.27, 95% CI: 1.54, 763.75) were associated with preeclampsia. CONCLUSION: Provider trust, health locus of control, neighborhood violence, depression, and anxiety were associated with adverse pregnancy outcomes in Black women, independent of demographic and clinical risk factors. KEY POINTS: · We identified associations between exposure to neighborhood violence and gestational age at birth.. · Trust, locus of control, depression, and anxiety were associated with preterm birth and preeclampsia.. · Future research should focus on interventions that address social and clinical factors..

Gender Differences in the Relationship Between Food Insecurity and Body Mass Index Among Adults in the USA.

BACKGROUND: In the USA, nearly 40% of adults ≥ 20 years have a body mass index (BMI) ≥ 30, and 11% of households are reported as food insecure. In adults, evidence shows women are more likely than men to be food insecure. Among adults with food insecurity, differences in BMI exist between men and women with women reporting higher BMI. Factors associated with this difference in BMI between genders are less understood. OBJECTIVE: The aim of this study was to assess gender differences in the relationship between food insecurity and BMI. DESIGN: Hierarchical models were analyzed using a general linear model by entering covariates sequentially in blocks (demographics, lifestyle behaviors, comorbidities, and dietary variables) and stratified by gender. PARTICIPANTS: The sample included 25,567 adults in the USA from the National Health and Nutrition Examination Survey (NHANES), 2005-2014. MAIN MEASURES: The dependent variable was BMI, and food insecurity was the primary predictor. KEY RESULTS: Approximately 51% of the sample was women. Food insecure women were significantly more likely to have higher BMI compared to food secure women in the fully adjusted model after controlling for demographics (ß = 1.79; 95% CI 1.17, 2.41); demographic and lifestyle factors (ß = 1.79; 95% CI 1.19, 2.38); demographic, lifestyle, and comorbidities (ß = 1.21; 95% CI 0.65, 1.77); and demographic, lifestyle, comorbidities, and dietary variables (ß = 1.23; 95% CI 0.67, 1.79). There were no significant associations between food insecure and food secure men in the fully adjusted model variables (ß = 0.36; 95% CI - 0.26, 0.98). CONCLUSION: In this sample of adults, food insecurity was significantly associated with higher BMI among women after adjusting for demographics, lifestyle factors, comorbidities, and dietary variables. This difference was not observed among men. More research is necessary to understand this relationship among women.

The relationship between C-Reactive protein and mortality in adults with diabetes: Influences of demographic characteristics, lifestyle behaviors, and medications.

BACKGROUND AND AIMS: This study assesses the influence of demographic, lifestyle, and medication in the association between CRP and mortality in a national sample of adults with diabetes. METHODS AND RESULTS: Cross-sectional study of data from 1999 to 2010 National Health and Nutrition Examination Survey (unweighted n = 3952; Weighted n = 19,064,710). Individuals were categorized as having diabetes if told by a provider they had diabetes, were taking insulin or other diabetes medications, or had a glycosylated hemoglobin A1c (HbA1c) ≥ 6.5%. CRP was classified into four categories: normal (≤0.1 mg/dL); moderate risk (0.11-0.3 mg/dL); high-risk (0.31-1.0 mg/dL); very high-risk (>1.0 mg/dL). Higher risk for mortality was associated with a very high-risk of CRP (HR = 1.88 (95% CI: 1.27-2.78), being a current (HR = 1.49 (95% CI: 1.10-2.01) or former (HR = 1.34 (95% CI: 1.03-1.73) smoker, and taking insulin (HR = 1.60 (95% CI: 1.25-2.05), taking anti-hypertensives (HR = 1.50 (95% CI: 1.22-1.85), and having co-morbidities such as cancer (HR = 1.32 (95% CI: 1.05-1.66) and hepatitis infection (HR = 1.76 (95% CI: 1.07-2.91), while taking Metformin (HR = 0.62 (95% CI: 0.50-0.76) had a lower risk of mortality. CONCLUSION: In this sample of adults with diabetes, demographic, lifestyle, and medication factors influenced the association between CRP and mortality. Interventions should focus on these factors to reduce mortality in adults with diabetes.

Cross-Sector Collaborations Between Health Care Systems and Community Partners That Target Health Equity/Disparities in Diabetes Care.

Evidence shows that social determinants of health (SDOH) are key drivers of diabetes outcomes and disparities in diabetes care. Targeting SDOH at the individual, organizational, and policy levels is an essential step in improving health equity for individuals living with diabetes. In addition, there is increasing recognition of the need to build collaboration across the health care system and the communities experiencing inequities to improve health equity. As a result, partnerships between health and nonhealth sectors have emerged as a crucial component for increasing health equity in diabetes care and achieving health equity. The purpose of this article is to discuss cross-sector collaborations between health care systems and nonhealth partners that target health equity in diabetes care.

Team Science, Population Health, and COVID-19: Lessons Learned Adapting a Population Health Research Team to COVID-19.

Our multidisciplinary research team is composed of 6 faculty with expertise in internal medicine, nephrology, maternal/fetal medicine, health services research, statistics, and community-based research, and 36 program staff including biostatisticians, nurses, program coordinators, program assistants, and medical assistants/phlebotomists. With the emergence of the COVID-19 pandemic and the impact it was having on our community, especially the ethnic minority population in inner-city Milwaukee, we felt it was critical to stay engaged and figure out how to ask meaningful research questions that are important to the community, are relevant to the times, and will lead to lasting change. While navigating this unprecedented challenge, our research team made difficult decisions but were able to engage our staff and respond to community needs. We organized our lessons learned to serve as a perspective on how to effectively remain committed to vision and serve our communities, while collecting evidence that can inform policy in difficult times.

Impact of Pre-visit Contextual Data Collection on Patient-Physician Communication and Patient Activation: a Randomized Trial.

BACKGROUND: Patient contextual data (PCD) are often missing from electronic health records, limiting the opportunity to incorporate preferences and life circumstances into care. Engaging patients through tools that collect and summarize such data may improve communication and patient activation. However, differential tool adoption by race might widen health care disparities. OBJECTIVE: Determine if a digital tool designed to collect and present PCD improves communication and patient activation; secondarily, evaluate if use impacts outcomes by race. DESIGN, SETTING, AND PARTICIPANTS: A pragmatic, two-armed, non-blinded, randomized controlled trial conducted during 2019 in a primary care setting. INTERVENTION: The PCD tool (PatientWisdom) invited patients to identify preferences, values, goals, and barriers to care. Patients were randomized to a standard pre-visit email or facilitated enrollment with dedicated outreach to encourage use of the tool. MAIN OUTCOMES AND MEASURES: Outcomes of interest were post-visit patient communication and patient activation measured by the Communication Assessment Tool (CAT) and Patient Activation Measure (PAM), respectively. Outcomes were evaluated using treatment-on-the-treated (TOT) and intention-to-treat (ITT) principles. KEY RESULTS: A total of 301 patients were enrolled. Facilitated enrollment resulted in a five-fold increase in uptake of the PCD tool. TOT analysis indicated that the PCD tool was associated with notable increases in specific CAT items rated as excellent: "treated me with respect" (+ 13 percentage points; p = 0.04), "showed interest in my ideas" (+ 14 percentage points; p = 0.03), "showed care and concern" (+ 16 percentage points; p = 0.02), and "spent about the right amount of time with me" (+ 11 percentage points; p = 0.05). There were no significant pre/post-visit differences in PAM scores between arms (- 4.41 percentage points; p = 0.58). ITT results were similar. We saw no evidence of the treatment effect varying by race in ITT or TOT analyses. CONCLUSIONS AND RELEVANCE: The inclusion of PCD enhanced essential aspects of patient-provider communication but did not affect patient activation. Outcomes did not differ by race. TRIAL REGISTRATION: Clincaltrials.gov identifier: NCT03766841.

HIV and cardiovascular disease in sub-Saharan Africa: Demographic and Health Survey data for 4 countries.

BACKGROUND: Investigate the relationship between two common cardiovascular diseases and HIV in adults living in sub-Saharan Africa using population data provided through the Demographic and Health Survey. METHODS: Data for four sub-Saharan countries were used. All adults asked questions regarding diagnosis of HIV, diabetes, and hypertension were included in the sample totaling 5356 in Lesotho, 3294 in Namibia, 9917 in Senegal, and 1051 in South Africa. Logistic models were run for each country separately, with self-reported diabetes as the first outcome and self-reported hypertension as the second outcome and HIV status as the primary independent variable. Models were adjusted for age, gender, rural/urban residence and BMI. Complex survey design allowed weighting to the population. RESULTS: Prevalence of self-reported diabetes ranged from 3.8% in Namibia to 0.5% in Senegal. Prevalence of self-reported hypertension ranged from 22.9% in Namibia to 0.6% in Senegal. In unadjusted models, individuals with HIV in Lesotho were 2 times more likely to have self-reported diabetes (OR = 2.01, 95% CI 1.08-3.73), however the relationship lost significance after adjustment. Individuals with HIV were less likely to have self-reported diabetes after adjustment in Namibia (OR = 0.29, 95% CI 0.12-0.72) and less likely to have self-reported hypertension after adjustment in Lesotho (OR = 0.63, 95% CI 0.47-0.83). Relationships were not significant for Senegal or South Africa. DISCUSSION: HIV did not serve as a risk factor for self-reported cardiovascular disease in sub-Saharan Africa during the years included in this study. However, given the growing prevalence of diabetes and hypertension in the region, and the high prevalence of undiagnosed cardiovascular disease, it will be important to continue to track and monitor cardiovascular disease at the population level and in individuals with and without HIV. CONCLUSIONS: The odds of self-reported diabetes in individuals with HIV was high in Lesotho and low in Namibia, while the odds of self-reported hypertension in individuals with HIV was low across all 4 countries included in this study. Programs are needed to target individuals that need to manage multiple diseases at once and should consider increasing access to cardiovascular disease management programs for older adults, individuals with high BMI, women, and those living in urban settings.

Gender differences in the relationship between social support and strain and mortality among a national sample of adults.

We assessed gender differences in the relationship between mortality and social support, strain, and affectual solidarity received from family, friends and spouses. Data of 6259 adults from the Midlife Development in the United States (MIDUS) survey were analyzed. Cox proportional hazards were used to assess relationships between mortality and support, strain, and affectual solidarity and whether the associations varied by gender. Support from family, friends, and spouses/partners and friend affectual solidarity were associated with lower mortality in the total sample. Friend strain was associated with higher mortality in the total sample. Family support and family, friend, and spouse affectual solidarity were associated with lower mortality in women. Friend and spouse strain were associated with a higher mortality for women. Support from friends, family and spouse are beneficial for reducing mortality in men and women. Friend and spouse strain are targets for minimizing mortality risk in women.

Financial incentives to improve glycemic control in African American adults with type 2 diabetes: a pilot randomized controlled trial.

BACKGROUND: Financial incentives is emerging as a viable strategy for improving clinical outcomes for adults with type 2 diabetes. However, there is limited data on optimal structure for financial incentives and whether financial incentives are effective in African Americans with type 2 diabetes. This pilot study evaluated impact of three financial incentive structures on glycemic control in this population. METHODS: Sixty adults with type 2 diabetes were randomized to one of three financial incentive structures: 1) single incentive (Group 1) at 3 months for Hemoglobin A1c (HbA1c) reduction, 2) two-part equal incentive (Group 2) for home testing of glucose and HbA1c reduction at 3 months, and 3) three-part equal incentive (Group 3) for home testing, attendance of weekly telephone education classes and HbA1c reduction at 3 months. The primary outcome was HbA1c reduction within each group at 3 months post-randomization. Paired t-tests were used to test differences between baseline and 3-month HbA1c within each group. RESULTS: The mean age for the sample was 57.9 years and 71.9% were women. Each incentive structure led to significant reductions in HbA1c at 3 months with the greatest reduction from baseline in the group with incentives for multiple components: Group 1 mean reduction = 1.25, Group 2 mean reduction = 1.73, Group 3 mean reduction = 1.74. CONCLUSION: Financial incentives led to significant reductions in HbA1c from baseline within each group. Incentives for multiple components led to the greatest reductions from baseline. Structured financial incentives that reward home monitoring, attendance of telephone education sessions, and lifestyle modification to lower HbA1c are viable options for glycemic control in African Americans with type 2 diabetes. TRIAL REGISTRATION: Trial registration: NCT02722499 . Registered 23 March 2016, url.

The Association of Paternal Race and Ethnicity with Adverse Pregnancy Outcomes in a Contemporary U.S. Cohort.

OBJECTIVE: Maternal racial and ethnic disparities exist in obstetric outcomes. The contribution of paternal race and ethnicity toward obstetric outcomes has been less well documented. The objective of this study was to investigate the association between paternal race and ethnicity and several adverse pregnancy outcomes. STUDY DESIGN: This was a retrospective cohort of birth data from the CDC National Vital Statistics, years 2013-2017. All singleton live births were included in the analysis. Records with missing paternal race and ethnicity were excluded. The primary dependent variables were the following adverse maternal and perinatal outcomes: gestational diabetes, hypertensive disorder of pregnancy, preterm birth <37 weeks, cesarean delivery, low birth weight <2,500 g, 5-minute Apgar's score <7, admission to neonatal intensive care unit (NICU), and assisted ventilation at > 6 hours of life. The main exposure was paternal race and ethnicity, which was grouped into non-Hispanic white, non-Hispanic black, Hispanic, and other. Other race and ethnicity category included: American Indian, Alaskan Native, Asian, Native Hawaiian, or other Pacific Islander. Univariable and multivariable analyses were done to determine whether paternal race and ethnicity was independently associated with adverse pregnancy outcomes. RESULTS: A total of 16,482,745 births were included. In univariable analysis, all adverse obstetric outcomes were significantly associated with paternal race and ethnicity. In multivariable analysis, controlling for maternal and paternal demographic characteristics and maternal clinical factors, paternal race and ethnicity remained significantly associated with the majority of the adverse pregnancy outcomes. The strongest association was seen with: (1) paternal non-Hispanic black race and ethnicity, and higher rates of LBW and preterm birth (Odds ratio [OR] = 1.25, 95% CI: 1.24-1.27 and OR = 1.14, 95% CI: 1.13-1.15, respectively); (2) paternal Hispanic race and ethnicity and lower rates of 5-minute Apgar's score <7, and assisted ventilation at >6 hours of life (OR = 0.78, 95% CI: 0.77-0.79, and OR = 0.77, 95% CI: 0.75-0.78, respectively); and (3) other paternal race and ethnicity and higher rates of gestational diabetes, but lower rates of hypertensive disorder of pregnancy and assisted ventilation >6 hours of life (OR = 1.26, 95% CI: 1.25-1.27; OR = 0.79, 95% CI: 0.78-0.80; and OR = 0.80, 95% CI: 0.78-0.82, respectively). All associations were in comparison to paternal non-Hispanic white race and ethnicity. CONCLUSION: Paternal race and ethnicity has an independent association with adverse obstetric outcomes. The pathway and the extent of the paternal racial influence are not fully understood and deserve additional research.

Assessing the relationship between adverse childhood experiences and life satisfaction, psychological well-being, and social well-being: United States Longitudinal Cohort 1995-2014.

BACKGROUND: More than half of the U.S. population has experienced adverse childhood experiences (ACE), which are linked to physical and mental health issues. This study examines the relationship between ACEs and life satisfaction, psychological well-being, and social well-being. METHODS: Data of 6323 participants from three waves of the Midlife Development in the United States (1995-1996, 2004-2006, and 2011-2014) were used. Repeated measures models were used to test the associations between ACEs and all three psychosocial scales. Generalized estimating equations (GEE) were used to account for multiple survey measures. Adjusting for demographics and survey wave, GEE models were run for each ACE construct. RESULTS: After controlling for demographic covariables, those reporting an ACE had significantly lower levels of life satisfaction (ß = - 0.20, 95% CI - 0.26 to - 0.15) compared to those without an ACE. Those reporting higher ACE counts were associated with lower life satisfaction compared to those with no ACE (ß = - 0.38, 95% CI - 0.56 to - 0.20; ß = - 0.36, 95% CI - 0.46 to - 0.27; and ß = - 0.13, 95% CI - 0.19 to - 0.08 for ACE counts of 3, 2, and 1, respectively). Abuse (ß = - 0.41, 95% CI - 0.48 to - 0.33) and household dysfunction (ß = - 0.18, 95% CI - 0.25 to - 0.10) were associated with significantly lower life satisfaction. Overall, those exposed to ACEs had significantly lower sense of social well-being. CONCLUSION: In this sample of adults, ACEs were significantly associated with lower life satisfaction, lower psychological well-being, and lower social well-being, especially for those who report abuse and household dysfunction during childhood.

Racial and Ethnic Differences in Out-of-Pocket Expenses among Adults with Diabetes.

BACKGROUND: Racial and ethnic minority groups have a higher prevalence of diabetes, increased risk for adverse complications, and worse health outcomes compared to Non-Hispanic Whites. Evidence suggests they also have higher healthcare expenses associated with diabetes care. Therefore, the objective of this study was to assess racial and ethnic differences in out-of-pocket (OOP) costs among a nationally representative sample of adults with diabetes. METHODS: Cross-sectional study of 17,702 adults (aged ≥18 years) with diabetes from years 2002-2011 in the Medical Expenditure Panel Survey Household Component. The outcome was OOP expenditures, and the primary predictor was race/ethnicity. Descriptive statistics summarized the sample population. Unadjusted mean values were computed to compare OOP expenses over time. A two-part model was used to estimate adjusted incremental OOP expenses. RESULTS: For the overall sample, OOP expenditures decreased significantly over time. In addition, compared to NHWs, racial and ethnic minority groups had significantly lower OOP costs per year when adjusted for sociodemographic characteristics, comorbid conditions, and time. NHBs paid $481 less than NHWs; Hispanics paid $591 less than NHWs; and individuals in the 'Other' racial/ethnic category paid nearly $645 less compared to NHWs (p < 0.001). CONCLUSIONS: Racial/ethnic minority patients with diabetes had significantly less OOP expenses compared to NHWs, possibly due to differences in healthcare utilization. OOP expenses decreased significantly over time for all racial and ethnic groups. Additional research is needed to understand the factors associated with differences in OOP expenditures among racial groups.

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey.

BACKGROUND: Emerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and facilitating adherence to chronic disease management. However, there is a lack of studies on differences in the preference for using information exchange technologies between patients with chronic and nonchronic diseases and factors affecting these differences. OBJECTIVE: The purpose of this paper is to understand the preferences and use of information technology for information exchange among a nationally representative sample of adults with and without 3 chronic disease conditions (ie, cardiovascular disease [CVD], diabetes, and hypertension) and to assess whether these preferences differ according to varying demographic variables. METHODS: We utilized data from the 2012 and 2014 iteration of the Health Information National Trends Survey (N=7307). We used multiple logistic regressions, adjusting for relevant demographic covariates, to identify the independent factors associated with lower odds of using health information technology (HIT), thus, identifying targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race, and US census region. RESULTS: Of 7307 participants, 3529 reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with diabetes, CVD, or hypertension were more likely to report using email to exchange medical information with their provider and less likely to not use any of the technology in health information exchange, as well as more likely to say it was not important for them to access personal medical information electronically. In the unadjusted model, additional significant odds ratio (OR) values were observed. However, after adjustment, most relationships regarding the use and interest in exchanging information with the provider were no longer significant. In the adjusted model, individuals with CVD, diabetes, or hypertension were more likely to access Web-based personal health information through a website or app. Furthermore, we assessed adjusted ORs for demographic variables. Those aged >65 years and Hispanic people were more likely to report no use of email to exchange medical information with their provider. Minorities (Hispanic, non-Hispanic black, and Asian people) were less likely to indicate they had no interest in exchanging general health tips with a provider electronically. CONCLUSIONS: The analysis did not show any significant association among those with comorbidities and their proclivity toward health information, possibly implying that HIT-related interventions, particularly design of information technologies, should focus more on demographic factors, including race, age, and region, than on comorbidities or chronic disease status to increase the likelihood of use. Future research is needed to understand and explore more patient-friendly use and design of information technologies, which can be utilized by diverse age, race, and education or health literacy groups efficiently to further bridge the patient-provider communication gap.

Telephone-Delivered Behavioral Skills Intervention for African American Adults with Type 2 Diabetes: A Randomized Controlled Trial.

BACKGROUND: Diabetes disproportionately affects African Americans and is associated with poorer outcomes. Self-management is important for glycemic control; however, evidence in African Americans is limited. OBJECTIVE: To assess the efficacy of a combined telephone-delivered education and behavioral skills intervention (TBSI) in reducing hemoglobin A1c (HbA1c) levels in African Americans with type 2 diabetes, using a factorial design. DESIGN: This is a four-year randomized clinical trial, using a 2 x 2 factorial design.: Participants: African American adults ≥18 years) with poorly controlled type 2 diabetes (HbA1c ≥9%) were randomly assigned to one of four groups: 1) knowledge only, 2) skills only, 3) combined knowledge and skills (TBSI), or 4) control group. INTERVENTION: All participants received 12 telephone-delivered 30-min intervention sessions specific to their assigned group. Participants were assessed at baseline and 3, 6, and 12 months. MAIN MEASURE: The primary outcome was HbA1c at 12 months post-randomization in the intent-to-treat (ITT) population. KEY RESULTS: Two hundred fifty-five participants were randomly assigned to the four groups. Based on the ITT population after multiple imputation, the analysis of covariance with baseline HbA1c as the covariate showed that HbA1c at 12 months for the intervention groups did not differ significantly from that of the control group (knowledge: 0.49, p = 0.123; skills: 0.23, p = 0.456; combined: 0.48, p = 0.105). Absolute change from baseline at 12 months for all treatment arms was 0.6. Longitudinal mixed effects analysis showed that, on average, there was a significant decline in HbA1c over time for all treatment groups (-0.07, p < 0.001). However, the rates of decline for the intervention groups were not significantly different from that of the control group (knowledge: 0.06, p = 0.052; skills: 0.02, p = 0.448; combined: 0.05, p = 0.062). Results from per-protocol populations were similar. CONCLUSIONS: For African Americans with poorly controlled type 2 diabetes, combined education and skills training did not achieve greater reductions in glycemic control (i.e., HbA1c levels) at 12 months compared to the control group, education alone, or skills training alone. This trial is registered with ClinicalTrials.gov, identifier no. NCT00929838.