Disparities In Health Care Utilization Research Articles

Trends in disparities in healthcare utilisation between and within health insurances in China between 2008 and 2018: a repeated cross-sectional study

BackgroundFragmentation in China’s social health insurance schemes and income gap have been recognised as important factors for the inequitable use of healthcare. This study assessed trends in disparities in healthcare utilisation between and within health insurances in China between 2008 and 2018.MethodsWe used data from the 2008, 2013, and 2018 China National Health Services Survey. Outpatient visit, inpatient admission and foregone inpatient care were chosen to measure healthcare utilisation and underutilisation by health insurances. Absolute differences and rate ratios were generated to examine disparities between and within health insurances, and changes in disparities were analysed descriptively. Pearson χ2 tests were used to test for statistical significance of differences.ResultsThe outpatient visit rate for respondents covered by the urban resident-based basic medical insurance scheme (URBMI) more than doubled between 2008 and 2018, increasing from 10.5% (9.7-11.2) to 23.5% (23.1-23.8). Inpatient admission rates for respondents covered by URBMI and the new rural cooperative medical scheme (NRCMS) more than doubled between 2008 and 2018, increasing by 7.2 (p < 0.0001) and 7.4 (p < 0.0001) percentage points, respectively. Gaps in outpatient visits and inpatient admissions narrowed across the urban employee-based basic medical insurance scheme (UEBMI), URBMI, and NRCMS through 2008 to 2018, and by 2018 the gaps were small. The rate ratios of foregone inpatient care between NRCMS and UEBMI fell from 0.9 (p > 0.1) in 2008 to 0.8 (p < 0.0001) in 2018. Faster increases in outpatient and inpatient utilisation and greater reductions in foregone inpatient care were observed in poor groups than in wealthy groups within URBMI and NRCMS. However, the poor groups within UEBMI, URBMI, and NRCMS were always more likely to forego inpatient care in comparison with their wealthy counterparts.ConclusionsRemarkable increases in healthcare utilisation of URBMI and NRCMS, especially among the poorest groups, were accompanied by improvements in inequality in healthcare utilisation across UEBMI, URBMI, and NRCMS, and in income-based inequality in healthcare utilisation within URBMI and NRCMS. However, the poor groups were always more likely to forego admission to hospital, as recommended by doctors. We suggest further focus on the foregoing admission care of the poor groups.

Quantifying rural disparity in healthcare utilization in the United States: Analysis of a large midwestern healthcare system.

PurposeThe objective of this study is to identify how predisposing characteristics, enabling factors, and health needs are jointly and individually associated with epidemiological patterns of outpatient healthcare utilization for patients who already interact and engage with a large healthcare system.MethodsWe retrospectively analyzed electronic medical record data from 1,423,166 outpatient clinic visits from 474,674 patients in a large healthcare system from June 2018-March 2019. We evaluated patients who exclusively visited rural clinics versus patients who exclusively visited urban clinics using Chi-square tests and the generalized estimating equation Poisson regression methodology. The outcome was healthcare use defined by the number of outpatient visits to clinics within the healthcare system and independent variables included age, gender, race, ethnicity, smoking status, health status, and rural or urban clinic location. Supplementary analyses were conducted observing healthcare use patterns within rural and urban clinics separately and within primary care and specialty clinics separately.FindingsPatients in rural clinics vs. urban clinics had worse health status [χ2 = 935.1, df = 3, p<0.0001]. Additionally, patients in rural clinics had lower healthcare utilization than patients in urban clinics, adjusting for age, race, ethnicity, gender, smoking, and health status [2.49 vs. 3.18 visits, RR = 0.61, 95%CI = (0.55,0.68), p<0.0001]. Further, patients in rural clinics had lower utilization for both primary care and specialty care visits.ConclusionsWithin the large healthcare system, patients in rural clinics had lower outpatient healthcare utilization compared to their urban counterparts despite having potentially elevated health needs reflected by a higher number of unique health diagnoses documented in their electronic health records after adjusting for multiple factors. This work can inform future studies exploring the roots and ramifications of rural-urban healthcare utilization differences and rural healthcare disparities.

Utilization Gaps During the COVID-19 Pandemic: Racial and Ethnic Disparities in Telemedicine Uptake in Federally Qualified Health Center Clinics.

BackgroundThe Coronavirus Aid, Relief, and Economic Security (CARES) Act led to the rapid implementation of telemedicine across healthcare office settings. This innovation has the potential to improve healthcare use and ensure continuity of care. However, this delivery model could have an unintended consequence of worsening racial/ethnic disparities in healthcare utilization if adoption varies across sub-populations.ObjectiveTo examine associations between telemedicine use and race/ethnicity between 3/1/2020 and 11/30/2020, and the influence of other individual- and geographical-level factors on this relationship.DesignCohort studyParticipantsEMR data from 55 clinics in a FQHC networkMain MeasuresThe dependent variable was visit type (in-person vs. telemedicine). Predictors of interest were patient race and ethnicity. To account for repeated visits within each patient nested within clinic, a three-level, mixed-effects, multivariable, logistic regression model was used. Subgroup analyses examined correlates of telemedicine use in African American and Hispanic cohorts, separately.Key ResultsThe analytic sample included 233,302 visits for 67,733 unique patients. African Americans (OR = 0.65, 95% CI: 0.61, 0.69), Asians (OR = 0.58, 95% CI: 0.52, 0.65), and American Indians / Alaska Natives and other Pacific Islanders (OR = 0.82, 95% CI: 0.70, 0.98) were significantly less likely to use telemedicine compared to Whites. Hispanics were also less likely to have a telemedicine visit (OR = 0.49, 95% CI: 0.47, 0.51) compared to non-Hispanics. Nonacute visits were more likely to be conducted via telemedicine. Distance to clinic exhibited a dose-response relationship such that patients who lived farthest from the clinics were most likely to have telemedicine visits. In the subgroup analyses to examine predictors of telemedicine use, the dose-response relationship between distance from clinic and telemedicine use persisted, with increasing distance associated with increasing likelihood of telemedicine use, in both African American and Hispanic cohorts. Nonacute visits were associated with telemedicine use in the Hispanic cohort, but not in the Black / African American cohort.ConclusionRacial/ethnic disparities in telemedicine use persisted among this cohort. However, telemedicine improved utilization for African Americans and Hispanics living farther away from the clinic.

Healthcare Utilization Disparities Among Lung Cancer Patients in US Hospitals During 2010-2014: Evidence from the US Hispanic Population's Hospital Charges and Length of Stay.

PurposeThere is a lack of research focused on understanding the differences in the healthcare utilization of lung cancer patients between ethnic groups. This study aims to characterize disparities in healthcare utilization for Hispanic lung cancer patients compared to non-Hispanic patients.MethodsNational Inpatient Sample was used to identify nationwide lung cancer patients (n=141,675, weighted n=702,878) from 2010 to 2014. We examined the characteristics of the study sample by race (Hispanic vs non-Hispanic) and its association with healthcare utilization, measured by discounted hospital charges and length of stay. Multivariate survey regression models were used to identify predictors by racial groups.ResultsAmong 702,878 lung cancer patients, 5.1% were Hispanic. Descriptive statistics showed that Hispanics have higher hospital charges and length of stay. Survey regression results also suggested that Hispanic lung cancer patients were associated with higher hospital charges (26.6%) and length of stay (3.5%) than non-Hispanic lung cancer patients. Subgroup analysis displayed a similar trend to the full model.ConclusionHealthcare utilization disparities may exist for lung cancer Hispanic patients due to insurance status and early detection. Thus, our findings support providing financial assistance and targeted programs for minority patients. Future health policy consideration should be given to those vulnerable populations where limited healthcare resources are available.

Abstract WMP16: Race, Gender, And Cognition In Heart Failure

Background: Cognitive impairment is prevalent in the heart failure (HF) population, eventually complicating the disease course in over 50%. Disease management and risk factor control are thought to play a role. Disparities in healthcare utilization and access may also contribute. We hypothesize gender, ethnic and racial disparities in HF contribute to accelerated cognitive decline. Methods: We performed a cross-sectional analysis of study participants age ≥ 60 years in the biannual NHANES survey. Medical history, clinical variables, and Digit Symbol Substitution Test (DSST) scores from cycles 1999, 2001, 2011, and 2013 were extracted. The DSST assesses visuomotor, attention, and processing speed, and in prior studies was found to be strongly associated with vascular-related cognitive impairment. Survey-weighted regression models adjusting for age, race, gender, education, vascular risk factors and history of stroke were used to generate nationally representative estimates. Results: 6,651 study participants representing 51,841,223 adults ≥ 60 years were included, 7% with prevalent HF. Participants with HF were older (73.8 vs 70.0, P &lt;0.001) but there were no significant differences in the proportion of women or in the racial/ethnic makeup of participants with and without HF. Stroke was 3 times more prevalent in the HF population (20.1% vs 6.5%, P &lt;0.001). Individuals with HF had significantly lower DSST scores (mean 39.6 [0.97] vs 50.2 [0.45], P&lt;0.001). We found a significant interaction between HF and sex (P &lt;0.10). Among men, prevalent HF was associated with a 2.95 (95% CI: -4.75, -1.16) decrease in DSST. In women, larger decreases in cognition were observed (-5.18, 95% CI: -7.34, -3.02). There was no interaction between heart failure and race. Conclusions: Women with HF experience greater levels of HF-related cognitive impairment. These differences may be a consequence of known differential rates of early HF detection and disease maintenance across genders.

Examining the Association between Polish Migrant Status and Health Preferences Using a Novel Application of a Smaller Design EQ-5D-5L Valuation Study.

IntroductionMigrants have different utilisation of healthcare services and health-related behaviours than host populations. A potential factor that may contribute to the notable differences in healthcare use and health-related behaviours between migrants and host populations is how these groups value health. Those who place a high value on health have greater healthcare-seeking practices than those who do not.ObjectiveThe aim of this study was to examine how Polish migrants and native Irish differ in health state utility valuations using a novel application of a smaller design EQ-5D-5L valuation study.MethodsThis study uses health preferences as a predictor of how one values health. We examined the EQ-5D-5L health preferences of 119 Polish migrants and 123 native Irish, both residing full-time in Ireland. To do so, we used a novel application of a smaller design EQ-5D-5L valuation study that consisted of 30 health states and a targeted sampling strategy coupled with a Bayesian statistical nonparametric model. We collected data from June 2018 to September 2019.ResultsOur results highlight that Polish migrants and native Irish differ in their health preferences for and valuation of severe health states. Polish migrants place meaningfully higher utility valuations of 0.1 or more on the three most severe health states compared with the native Irish.ConclusionThis study can provide an understanding of a potential new factor underpinning some of the disparities in healthcare utilisation and health-related behaviours among migrants and host populations in Europe. This study also provides proof of principle for using a smaller design EQ-5D-5L valuation study to explore differences in health preferences among other minority subgroups, which can otherwise be hard to uncover when using the secondary analysis of national EQ-5D-5L valuation studies.Supplementary InformationThe online version contains supplementary material available at 10.1007/s41669-021-00314-2.

Racial Disparities in the Utilization of Shoulder Arthroplasty in the United States: Trends from 2011 to 2017.

Background:As the incidence of shoulder arthroplasty rises at exponential rates, race is an important consideration, as racial disparities have been reported in lower-extremity arthroplasty in the United States. Our study sought to examine these disparities.Methods:Using the National Inpatient Sample (NIS) database, all anatomic total shoulder arthroplasty (aTSA) and reverse total shoulder arthroplasty (RSA) procedures from 2011 to 2017 were analyzed. The patients were divided into the Black, Hispanic, and White groups.Results:Overall, 91.4% of the patients undergoing any shoulder arthroplasty procedure were White, 4.75% were Black, and 3.85% were Hispanic. Age and sex-standardized RSA utilization rates (per 100,000) in White patients increased by 139% from 6.94 in 2011 to 16.60 in 2017. The disparity for Black patients, compared with White patients, was 118% in 2011 and 124% in 2017; the disparity for Hispanic patients was 112% in 2011 and 103% in 2017. Similar disparities in aTSA utilization rates were seen; when compared with White patients, there was a 150% disparity in 2011 and a 197% disparity in 2017 for Black patients, and a 169% disparity in 2011 and a 262% disparity in 2017 for Hispanic patients. Finally, Blacks had a higher rate of non-home discharge, longer length of stay, and higher overall costs, while Hispanics had a longer length of stay and higher cost than Whites.Conclusions:Despite many efforts to reduce racial disparities in health-care utilization, the chasm in shoulder arthroplasty in the United States appears to be large and widening further. The exponential increase in utilization of shoulder arthroplasty has not been shared equally among races, and the disparities are larger than those reported in lower-extremity arthroplasty.

Exploring the health care utilization of children and youth in the care of child welfare: a retrospective matched cohort study.

Children and youth whose lives intersect with child welfare systems are amongst the most vulnerable paediatric populations. Despite the increased rates of chronic conditions, these children and youth often experience unmet health care needs. To examine patterns of health care utilization from birth for children and youth in the care of a child welfare authority. This retrospective matched cohort design study examined children/youth aged 0-18 who had visited a paediatric tertiary care facility from 2016 April 1 to 2017 March 31 and had "social worker" documented as their guardian. A control cohort was matched based on age and sex. Primary outcomes of interest included primary health care, emergency, outpatient, and inpatient visits. Visits for immunizations, physiological development, well-baby checks, mental health, and oral health were also examined. A total of 200 cases and 200 controls were included in our cohort. No statistically significant differences were found between primary care visits, well-baby checks, inpatient admissions, outpatient mental health visits, or immunizations for children in care in comparison to their controls. There was a significant difference in oral health visits, lack of physiological development, and emergency department visits for children in care when compared to their controls. Our study revealed disparities in health care utilization amongst children in the care of child welfare in comparison to those who are not, highlighting the need for improved practice, policy, and research initiatives. A collaborative data collection/sharing system is needed to identify and track the health care of this vulnerable population.

Utilization of Maternal Health Care Among Immigrant Mothers in New York City, 2016\u20132018

Immigrant women represent half of New York City (NYC) births, and some immigrant groups have elevated risk for poor maternal health outcomes. Disparities in health care utilization across the maternity care spectrum may contribute to differential maternal health outcomes. Data on immigrant maternal health utilization are under-explored in the literature. We conducted a cross-sectional analysis of the population-based NYC Pregnancy Risk Assessment Monitoring System survey, using 2016–2018 data linked to birth certificate variables, to explore self-reported utilization of preconception, prenatal, and postpartum health care and potential explanatory pathways. We stratified results by maternal nativity and, for immigrants, by years living in the US; geographic region of origin; and country of origin income grouping. Among immigrant women, 43% did not visit a health care provider in the year before pregnancy, compared to 27% of US-born women (risk difference [RD] = 0.16, 95% CI [0.13, 0.20]), 64% had no dental cleaning during pregnancy compared to 49% of US-born women (RD = 0.15, 95% CI [0.11, 0.18]), and 11% lost health insurance postpartum compared to 1% of US-born women (RD = 0.10, 95% CI [0.08, 0.11]). The largest disparities were among recent arrivals to the US and immigrants from countries in Central America, South America, South Asia, and sub-Saharan Africa. Utilization differences were partially explained by insurance type, paternal nativity, maternal education, and race and ethnicity. Disparities may be reduced by collaborating with community-based organizations in immigrant communities on strategies to improve utilization and by expanding health care access and eligibility for public health insurance coverage before and after pregnancy.

Disparities in healthcare utilization and access by length of cancer survivorship among population-based female cancer survivors.

The current study examined disparities in the associations between medically vulnerable populations and healthcare-related outcomes among population-based female cancer survivors and determined if these associations differed by length of cancer survivorship. One thousand eight hundred ninety-seven women with a cancer history from the National Health and Nutrition Examination Survey from 1999 to 2016 contributed data. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated with multivariable logistic regression models to measure the associations between the predictors (race/ethnicity, poverty status, education, comorbidity status, US nativity) and outcomes (perceived health, healthcare utilization and access outcomes), overall and by length of survivorship. There was an average of 14.3years (SD = 11.7; range = 2-84) since initial cancer diagnosis, with 25.1% being short-term and 74.9% being long-term survivors. Overall, racial/ethnic minority women were more likely to report poor/fair health status (OR, 2.68; 95% CI 1.73-4.15) and utilizing routine care other than a doctor's office/HMO (OR, 1.61; 95% CI 1.12-2.29) in comparison with NHW survivors. Length of survivorship significantly modified the association between race/ethnicity and odds of seeing a mental health provider in the last year (p-interaction = 0.003), with short-term minority survivors being significantly more likely (OR, 2.63; 95% CI 1.29-5.35) and long-term minority survivors being less likely (OR, 0.68; 95% CI 0.37-1.23). Racial/ethnic disparities exist among female cancer survivors for perceived health status and certain healthcare utilization outcomes, with some differences observed by length of cancer survivorship. This study can begin to inform cancer survivorship care for medically vulnerable women along the cancer continuum.

Evaluation of health perceptions and healthcare utilization among population-based female cancer survivors and cancer-free women.

Cancer survivors are more likely to report having a poor health status when compared to the general population. Few studies have focused on the impact of cancer on health status and healthcare utilization/access outcomes among women from medically underserved populations. 25,741 women with and without a history of cancer from the National Health and Nutrition Examination Survey from 1999 to 2016 contributed data. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression for associations between cancer status and perceived health and healthcare utilization/access outcomes stratified by race/ethnicity, poverty status, education, and comorbidities. 1,897 (7.0%) women had a history of cancer with breast cancer as the most common (n = 671, 35.7%). While most survivors were non-Hispanic white (69.4%), 13.9% were Hispanic, 12.0% were non-Hispanic Black, and 4.6% were additional racial/ethnic groups. Survivors were 1.32 times more likely to be hospitalized within the last year (95% CI 1.11-1.58) and 1.32 times more likely to see a mental health provider within the last year (95% CI 1.05-1.66) compared to cancer-free women. Race/ethnicity was a significant effect modifier in the association between being a survivor and seeing a mental health provider, with Hispanic survivors having the highest odds (aOR 3.44; 95% CI 2.06-5.74; p-interaction < 0.00). Our study identifies disparities in healthcare utilization among female cancer survivors, highlighting the importance of evaluating these associations among medically underserved populations. These findings can educate healthcare professionals working with these populations to inform gaps in survivorship care utilization/access.

Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes.

BackgroundUnderstanding risk factors for short- and long-term COVID-19 outcomes have implications for current guidelines and practice. We study whether early identified risk factors for COVID-19 persist one year later and through varying disease progression trajectories.MethodsThis was a retrospective study of 6,731 COVID-19 patients presenting to Michigan Medicine between March 10, 2020 and March 10, 2021. We describe disease progression trajectories from diagnosis to potential hospital admission, discharge, readmission, or death. Outcomes pertained to all patients: rate of medical encounters, hospitalization-free survival, and overall survival, and hospitalized patients: discharge versus in-hospital death and readmission. Risk factors included patient age, sex, race, body mass index, and 29 comorbidity conditions.ResultsYounger, non-Black patients utilized healthcare resources at higher rates, while older, male, and Black patients had higher rates of hospitalization and mortality. Diabetes with complications, coagulopathy, fluid and electrolyte disorders, and blood loss anemia were risk factors for these outcomes. Diabetes with complications, coagulopathy, fluid and electrolyte disorders, and blood loss were associated with lower discharge and higher inpatient mortality rates.ConclusionsThis study found differences in healthcare utilization and adverse COVID-19 outcomes, as well as differing risk factors for short- and long-term outcomes throughout disease progression. These findings may inform providers in emergency departments or critical care settings of treatment priorities, empower healthcare stakeholders with effective disease management strategies, and aid health policy makers in optimizing allocations of medical resources.

1446Forgoing needed medical care among long-term survivors of childhood cancer: Racial/ethnic-insurance disparities

Abstract Background Among adult childhood cancer survivors, the relationship between race/ethnicity and health insurance status, as a contributor to disparities in healthcare utilization, is poorly understood. Methods We examined racial/ethnic-related disparities by insurance status in “forgoing needed medical care in the last year due to finances” using 3,964 adult childhood cancer survivors (3310 non-Hispanic/Latinx White, 562 non-Hispanic/Latinx Black, and 92 Hispanic/Latinx) participating in the St. Jude Lifetime Cohort Study (SJLIFE). Multivariable logistic regression analyses, guided by Andersen’s Healthcare Utilization Model, were adjusted for “predisposing” (age, sex, childhood cancer diagnosis, cancer treatment, surgery, and treatment era) and “need” (perceived health status) factors. Additional adjustment for income/education and chronic health conditions was considered. Results The risk of forgoing care was highest among non-Hispanic/Latinx Blacks and lowest among Hispanics/Latinxs for each insurance status. Among privately-insured survivors, relative to non-Hispanic/Latinx Whites, non-Hispanic/Latinx Blacks were more likely to forgo care (adjusted OR: 1.82, 95% CI: 1.30–2.54): this disparity remained despite additional adjustment for income/education (adjusted OR: 1.43, 95% CI: 1.01–2.01). In contrast, publicly-insured survivors, regardless of race/ethnicity, had similar risk of forgoing care as privately-insured non-Hispanic/Latinx Whites. All uninsured survivors had high risk of forgoing care. Additional adjustment for chronic health conditions did not alter these results. Conclusions The findings of this study show that provision of public insurance to all childhood cancer survivors may diminish racial/ethnic disparities in forgoing care that exist among the privately-insured and reduce the risk of forgoing care among uninsured survivors to that of privately-insured non-Hispanic/Latinx Whites. Key messages Providing publicly funded health insurance coverage to childhood cancer survivors can reduce disparities in forgoing medical care.

Racial disparities in health care utilization, the affordable care act and racial concordance preference.

The Affordable Care Act was implemented with the aim of increasing coverage and affordable access with hopes of improving health outcomes and reducing costs. Yet, disparities persist. Coverage and affordable access alone cannot explain the health care gap between racial/ethnic minorities and white patients. Instead, the focus has turned to other factors affecting utilization rates such as the patient-provider relationship. Data from nationally represented U.S. households in 2009-2017 were used to study the association between patient-provider social distance as measured by "racial/ethnic concordance" and health care utilization rates for periods covering pre- and post-ACA. Despite the reduction in financial barriers to health access with the implementation of the ACA, the correlation between racial/ethnic concordance and utilization remains positive and significant. The results suggest that while the ACA may have improved coverage and affordability, other dimensions of access, particularly acceptability, as measured by patient-provider clinical interaction experience, remains a factor in the decision to utilize care.

Black-White racial disparities in health care utilization and self-reported health among cancer survivors: The role of food insecurity.

Non-Hispanic Blacks continue to have worse cancer outcomes than non-Hispanic Whites. Suboptimal health care utilization and poor self-reported health among non-Hispanic Blacks contribute to these disparities. The relationship between race, food security status (FSS), and health care utilization or self-reported health among cancer survivors is not clear. This study aims to fill this gap in the science. The 2011-2018 National Health Interview Survey data were used. Bivariate and multivariable logistic regression analyses were used to examine the relationship between race (non-Hispanic Whites or non-Hispanic Blacks), FSS (high, marginal, low, or very low), health care utilization, and self-reported health among cancer survivors. Analyzed health care utilization measures included cost-related medication underuse (CRMU), cost-related delayed care, cost-related forgone care, seeing/talking to a medical specialist, seeing/talking to a general doctor, and overnight hospital stay. A higher proportion of Blacks reported very low food security in comparison with Whites (10.58% vs 4.24%; P ≤ .0001). Blacks were significantly less likely to report a medical specialist visit and more likely to report fair/poor health in the past 12 months even after adjustments for FSS. There was a dose-response relationship between FSS and CRMU, cost-related delayed care, cost-related forgone care, overnight hospital stay, and self-reported health status for both Whites and Blacks. Significant disparities in health care utilization and self-reported health across race and FSS persist among cancer survivors. Interventions that target food insecurity have the potential to reduce suboptimal health care utilization and self-reported health among cancer survivors.

Evaluating racial disparities in healthcare system utilization and caregiver burden among older adults with dementia

ABSTRACT Objective: To evaluate racial differences in healthcare utilization and caregiver burden in a culturally diverse population of older adults with dementia. Method: One hundred and thirty-three dyads (person with dementia, PWD and caregiver, CG), with at least one emergency department (ED) visit or hospitalization 12 months prior, were enrolled. Independent sample t-tests and chi-squared analyses were performed to compare racial groups on healthcare utilization and CG burden. Mann–Whitney U test was used for item-level analyses, principal component analysis was used to examine relationships among outcomes, and regressions were used to identify the relationship between race and potential covariates. Results: PWD sample mean age was 79 years, predominantly female, and with high school education. Racial distribution was 65% White and 35% Black. CG sample mean age was 64 years, predominantly female, with more than 12 years of education. No differences were found for age or dementia severity across racial groups. Black PWD experienced more ED and ambulance utilization when compared to White counterparts. Non-emergency hospitalization rates were higher for White PWD. No significant differences were found by race for CG burden total score; however, item-level analysis suggested more anger, reduced social life, uncertainty, and inadequacy in White CGs. Regressions demonstrated a positive relationship between Black race and adult-child CGs with increased ED visits, while dyad educational attainment was associated with hospitalizations independent of race. Conclusions: Healthcare utilization disparities extend to older adults with dementia diagnoses. Our findings suggest that culturally tailored interventions may be appropriate. Future research is encouraged to explore the effect of other covariates.

Telehealth: Reducing or increasing cancer care disparities?

1582 Background: During the COVID-19 pandemic, most cancer care in the United States transitioned to telehealth (phone or video visits) to reduce infection risks for patients and providers. Telehealth may simplify care logistics (e.g. reduce travel and waiting times), but it may also unintentionally exacerbate existing disparities in healthcare utilization by race/ethnicity, age, or rural/urban status. As telehealth will likely continue long-term, we examined telehealth use at a comprehensive cancer center during the COVID-19 pandemic across patient populations with established disparities in cancer treatment and outcomes. Methods: We retrospectively reviewed telehealth visits from March until December 2020 among individuals diagnosed with cancer at the University of Minnesota Masonic Cancer Center (MCC). We used Chi-squared tests and GEE logistic regression to compare video vs. phone visits by age, urban/rural status, and race/ethnicity (American Indian / American Native [AIAN], Asian, Non-Hispanic Black/African American [NH Black/AA], Hispanic, Multiple, Native Hawaiian / Pacific Islander [NHPI], NH White). Results: Over the study period, 42,171 telehealth visits were performed with 11,097 patients at the MCC. Patients had a mean age of 62.7±13.9 years; 59.2% were female; 88.7% lived in urban areas; 90.0% of patients were NH White, 4.4% NH Black/AA, 3.0% Asian, 1.5% Hispanic, 0.8% AIAN, 0.3% of multiple races, and 0.1% NHPI. The most common cancer sites were breast (24.1%), hematological (21.0%), gynecologic (10.0%), and lung (8.4%). NH White individuals were more likely (53.9%) to use video than AIAN (39.7%), Black/AA (37.8%), or NHPI individuals (34.9%). Video use was less common among rural (45.3%) than urban (53.7%; p&lt;.0001) residents, and among individuals aged 65 or older (45.2%) vs. younger than 65 (59.5%; p&lt;.0001). In a logistic regression, adjusted for continuous age and urban/rural status, all race/ethnic groups except Multiple were less likely to use video than NH White individuals (vs. phone; Table). Conclusions: Our findings underscore disparities in telehealth use for cancer care across historically underserved populations. Future research should evaluate potential underlying contributors to these disparities such as technology access, internet capability, and fear of discrimination. Additional research is also needed to determine whether video vs. phone visits affect cancer outcomes, therefore indicating true disparity.[Table: see text]

Intersectional Stigma and Barriers to Mental Health Among Older Adults With HIV in San Francisco

For older adults with HIV, forms of privilege and oppression (racism, poverty, limited access to quality education, and inequalities in criminal justice system) intersect with stigmatized social identities (immigrant status, non-cisgender identity, sexual orientation, depression, and addiction) that may increase cumulative burden of psychological distress, contribute to poor clinical outcomes, and create disparities in health care utilization. Using survey and focus group data from the San Francisco ROAH 2.0 (Research on Older Adults with HIV) site, we explored how layered intersectional identities (minority affiliation, gender and sexual orientation), life experiences (immigration, trauma) and forms of systemic oppression (poverty, low educational attainment, and incarceration) impact the utilization of mental health supportive services. Immigrants, minority women, and heterosexual men had higher burdens of depression compared to their white counterparts. Similarly, inhabiting multiple stigmatized identities resulted in both low and variable levels of mental health care utilization, suggesting need for targeted intervention efforts.

Physical Impairment, Insurance Coverage, and Healthcare Utilization Among U.S. Chinese Older Adults

The relationship between physical impairment and healthcare utilization is well studied. However, few studies examined this relationship among immigrant older adults whose health insurance status may represent a barrier to healthcare use. This study aims to examine the relationship between physical impairment, health insurance, and types of healthcare utilization. The PINE Study provided data of 3,157 Chinese older adults age 60 and over. Most (70.67%) of them had insurance. Physical function was assessed by Activities of Daily Living and Instrumental Activities of Daily Living. Healthcare utilization was evaluated by the times of physician visit (PV), ER, and hospitalization, separately, in the past two years. Logistic regression was used. After adjusting for covariates, among the insured patients, every one unit increase in ADL impairment was associated with higher odds of ER visit (OR:1.32 [95%CI 1.21-1.45]) and hospitalization (OR: 1.37, [95%CI 1.25-1.50]). Every one greater IADL impairment was associated with higher odds of PV (OR: 1.26, [95%CI 1.12-1.43]), ER visit (OR: 1.21, [95%CI 1.16-1.26]), and hospitalization (OR: 1.23, [95%CI 1.18-1.28]). Among the non-insured, every one unit increase in ADL impairment was associated with higher odds of ER visit (OR: 1.82, [95%CI 1.19-2.78]) and hospitalization (OR: 3.05, [95%CI 1.51-6.16]). Every one unit increase in IADL impairment was associated with higher odds of PV (OR: 1.24, [95% CI 1.09-1.42]), ER visit (OR: 1.33, [95% CI 1.17-1.52]), and hospitalization (OR: 1.53, [95%CI 1.32-1.76]). These findings highlight disparities in healthcare utilization. Longitudinal studies are needed to strengthen causality between physical impairment, health insurance, and healthcare utilization.

Racial disparity in healthcare utilization among patients with Irritable Bowel Syndrome: results from a multicenter cohort.

Racial disparity in healthcare is defined as differences in healthcare services received by racial groups not due to difference in needs or preferences. As irritable bowel syndrome (IBS) is highly correlated with social factors, healthcare disparities are important factors in the sociocultural model of IBS. We used healthcare utilization as a lens to examine potential racial disparities in IBS. We retrospectively matched 3823 IBS minority patients who self-identified as "Hispanic," "Black," or "Asian" to white IBS controls and examined the number of patients with gastroenterology consults, gastroenterology procedures, and IBS-related Primary Care visits within each cohort from 2003 to 2017. Minority IBS patients were less likely to receive a gastroenterology consult than white IBS controls. Both Black and Asian IBS patients were more likely to have an IBS-related Primary Care visit than white IBS controls. All 3 minority IBS cohorts received significantly more gastroenterology procedures compared to white IBS controls. Minority IBS patients are more likely to receive gastroenterology procedures than white IBS patients. Further studies are needed to determine whether increased procedure likelihood in minority IBS patients represents a communication gap between minority patients and their providers or patient preference.