Development of a novel healthcare discrimination measure: PreDict.

Introduction: Patient reported quality of care measures are widely recognized tools for healthcare system performance assessment. Yet, there are few existing patient reported quality of care measures regarding health equity, and none to specifically collect patient experiences of discrimination in health care. Objective: To develop an item pool to measure patient experiences of healthcare discrimination-the Patient-Reported Experiences of Discrimination in Care Tool (PreDict). Methods: Utilizing a multistage, exploratory sequential mixed methods study design, we conducted qualitative interviews (n=73) and expert panel consensus analysis to develop items to capture patient experiences of discrimination. This process plus systematic literature review identified extant items and informed de novo items for inclusion in the item pool. Items were developed in English and Spanish and were not represented by extant items. Following identification of the initial item pool (n=125), candidate items underwent cognitive interview testing with English (n=113) and Spanish (n=70) speaking participants to evaluate items for clarity and comprehensiveness. English and Spanish items were also evaluated by a bilingual expert panel to recommend pool items for inpatient field testing. Results: One hundred and three items underwent cognitive interview testing and fifty-nine items were retained. Lack of clarity was the most cited factor for removal or revision of items. Expert panel review resulted in the removal of one additional item and the revision of seven items.Fifty-eight candidate items were retained for inclusion in field testing and future analyses using item response theory modeling. Conclusion: PreDict fills an important gap in measurement of discrimination, which is known to influence patient health outcomes. Development and testing to date demonstrate evidence of validity in characterizing the complex phenomenon of healthcare discrimination.

Breast cancer screening during the COVID-19 pandemic: moving from disparities to health equity.

The COVID-19 pandemic created unprecedented disruptions to routine health care in the United States. Screening mammography, a cornerstone of breast cancer control and prevention, was completely halted in the spring of 2020, and screening programs have continued to face challenges with subsequent COVID-19 waves. Although screening mammography rates decreased for all women during the pandemic, a number of studies have now clearly documented that reductions in screening have been greater for some populations than others. Specifically, minoritized women have been screened at lower rates than White women across studies, although the specific patterns of disparity vary depending on the populations and communities studied. We posit that these disparities are likely due to a variety of structural and contextual factors, including the differential impact of COVID-19 on communities. We also outline key considerations for closing gaps in screening mammography. First, practices, health systems, and communities must measure screening mammography use to identify whether gaps exist and which populations are most affected. Second, we propose that strategies to close disparities in breast cancer screening must be multifaceted, targeting the health system or practice, but also structural factors at the policy level. Health disparities arise from a complex set of conditions, and multimodal solutions that address the complex, multifactorial conditions that lead to disparities may be more likely to succeed and are necessary for promoting health equity.

Racial disparities among older adults with acute myocardial infarction: The SILVER-AMI study.

BACKGROUND: Despite an aging population, little is known about racial disparities in aging-specific functional impairments and mortality among older adults hospitalized for acute myocardial infarction (AMI). METHODS: We analyzed data from patients aged 75 years or older who were hospitalized for AMI at 94 US hospitals from 2013 to 2016. Functional impairments and geriatric conditions were assessed in-person during the AMI hospitalization. The association between race and risk of mortality (primary outcome) was evaluated with logistic regression adjusted sequentially for age, clinical characteristics, and measures of functional impairment and other conditions associated with aging. RESULTS: Among 2918 participants, 2668 (91.4%) self-identified as White and 250 (8.6%) as Black. Black participants were younger (80.8 vs 81.7 years; p = 0.010) and more likely to be female (64.8% vs 42.5%; p < 0.001). Black participants were more likely to present with impairments in cognition (37.6% vs 14.5%; p < 0.001), mobility (66.0% vs 54.6%; p < 0.001) and vision (50.1% vs 35.7%; p < 0.001). Black participants were also more likely to report a disability in one or more activities of daily living (22.4% vs 13.0%; p < 0.001) and an unintentional loss of more than 10 lbs in the year prior to hospitalization (37.2% vs 13.0%; p < 0.001). The unadjusted odds of 6-month mortality among Black participants (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.4-2.8) attenuated to non-significance after adjustment for age, clinical characteristics (OR 1.70, 95% CI 1.7, 1.2-2.5), and functional/geriatric conditions (OR 1.5, 95% CI 1.0-2.2). CONCLUSIONS: Black participants had a more geriatric phenotype despite a younger average age, with more functional impairments. Controlling for functional impairments and geriatric conditions attenuated disparities in 6-month mortality somewhat. These findings highlight the importance of systematically assessing functional impairment during hospitalization and also ensuring equitable access to community programs to support post-AMI recovery among Black older adults.

Targeting Health-Related Social Risks in the Clinical Setting: New Policy Momentum and Practice Considerations.

The federal government is funding a sea change in health care by investing in interventions targeting social determinants of health, which are significant contributors to illness and health inequity. This funding power has encouraged states, professional and accreditation organizations, health care entities, and providers to focus heavily on social determinants. We examine how this shift in focus affects clinical practice in the fields of oncology and emergency medicine, and highlight potential areas of reform.

A Socio-Ecological Approach to Addressing Digital Redlining in the United States: A Call to Action for Health Equity.

Physical distancing requirements due to the coronavirus (COVID-19) pandemic has increased the need for broadband internet access. The World Health Organization defines social determinants of health as non-medical factors that impact health outcomes by affecting the conditions in which people are born, grow, work, live, and age. By this definition broadband internet access is a social determinant of health. Digital redlining-the systematic process by which specific groups are deprived of equal access to digital tools such as the internet-creates inequities in access to educational and employment opportunities, as well as healthcare and health information. Although it is known that internet service providers systematically exclude low-income communities from broadband service, little has been done to stop this discriminatory practice. In this paper, we seek to amplify the call to action against the practice of digital redlining in the United States, describe how it contributes to health disparities broadly and within the context of the COVID-19 pandemic, and use a socio-ecological framework to propose short- and long-term actions to address this inequity.

Loneliness, sadness, and feelings of social disconnection in older adults during the COVID-19 pandemic.

BACKGROUND: Public health measures to control the COVID-19 pandemic have led to feelings of loneliness among older adults, which, prior to COVID, has been associated with subsequent morbidity and mortality. We sought to identify differences in feelings of loneliness, sadness, and social disconnection early in the pandemic across racial groups, and possible mitigating factors. METHODS: We performed a cross-sectional analysis using the weighted nationally-representative Medicare Current Beneficiaries Survey COVID-19 supplement, collected summer 2020. We included all Medicare beneficiaries aged 65 years and older who did not respond by proxy. We examined changes in loneliness, sadness, or feelings of social disconnection. Multivariable logistic regression models accounted for sociodemographic variables, access to primary care and the internet, and history of depression or dementia. RESULTS: Among 8125 beneficiaries, representative of 43.7 million Medicare beneficiaries, 22.6% reported loneliness or sadness, and 37.1% feeling socially disconnected. In fully-adjusted models, Hispanic/Latinx beneficiaries were most likely to report loneliness or sadness (OR = 1.3, CI: 1.02-1.65; p = 0.02) and Black beneficiaries were least likely to report feeling socially disconnected (OR = 0.55; CI: 0.42-0.73; p < 0.001). Internet access was associated with increased odds of both (OR = 1.29, 95 CI: 1.07-1.56; p = 0.009; and OR = 1.42, 95 CI: 1.24-1.63; p < 0.001, respectively). Access to primary care was associated with lower odds of both (OR = 0.77, 95 CI: 0.61-0.96; p = 0.02; and OR = 0.72, 95 CI: 0.61-0.87; p < 0.001). CONCLUSIONS: Loneliness, sadness, and feelings of social disconnection were common among older Medicare beneficiaries early in the COVID-19 pandemic. Differences by race/ethnicity may be driven by different living structures and social networks, and warrant further study. Policy makers and clinicians should consider facilitating connection by phone or in person, as internet access did not diminish feelings of loneliness, particularly for those living alone. Access to primary care, and tools for clinicians to address loneliness should be prioritized.

Racial/Ethnic and social class differences in preventive care practices among persons with diabetes.

BACKGROUND: Diabetes is the sixth leading cause of death in the United States. Persons with diabetes are at increased risk for serious complications including CVD, stroke, retinopathy, amputation, and nephropathy. Minorities have the highest incidence and prevalence of diabetes and related complications compared to other racial groups. Preventive care practices such as smoking cessation, eye examinations, feet examinations, and yearly checkups can prevent or delay the incidence and progression of diabetes related complications. The purpose of this study was to examine racial/ethnic differences in diabetes preventive care practices by several socio-demographic characteristics including social class. METHODS: Data from the Behavioral Risk Factor Surveillance Survey for 1998-2001 were used for analyses. The study population consisted of persons who indicated having diabetes on the BRFSS, 35 yrs and older, and Non-Hispanic Black, non-Hispanic White, or Hispanic persons. Logistic regression was used in analyses. RESULTS: Contrary to our hypotheses, Blacks and Hispanics engaged in preventive care more frequently than Whites. Whites were less likely to have seen a doctor in the previous year, less likely to have had a foot exam, more likely to smoke, and less likely to have attempted smoking cessation. Persons of lower social class were at greatest risk for not receiving preventive care regardless of race/ethnicity. Persons with no health care coverage were twice as likely to have not visited the doctor in the previous year and twice as likely to have not had an eye exam, 1.5 times more likely to have not had a foot exam or attempted smoking cessation. CONCLUSION: This study showed that persons of lower social class and persons with no health insurance are at greatest risk for not receiving preventive services.