Disparities In Health Care Use Research Articles

Comparing healthcare needs by language: interpreted Arabic and Somali telehealth calls in two regions of Sweden, 2014-18.

Limited language fluency can impede healthcare system navigation. In Sweden, the national telehealth line (Healthcare Guide 1177) offers interpretation in Arabic and Somali. We compared calls by language to identify differences in healthcare use for immigrant populations, focusing on three contact causes: pregnancy; vomiting or nausea in children; and worry/anxiety. We conducted a cross-sectional analysis of 3.9 million (n = 18 351 Arabic, n = 7199 Somali) telehealth calls (2014-18). Using multivariable logistic regression, we investigated associations between language of the call (Arabic, Somali, non-interpreted) and each contact cause. Potential confounders (age, region, year, and additionally for vomiting or nausea, month) and an interaction between age and language were considered. Compared with non-interpreted calls, interpreted calls were associated with increased odds of being for pregnancy, especially for 19 to 29-year-olds [adjusted odds ratio (aOR) (95% CI) = 4.04 (3.66-4.46) and 4.60 (4.05-5.23), for Arabic and Somali calls, respectively]. Vomiting or nausea showed similar results, with aOR increasing with age: from 0.90 (0.75-1.07) (Arabic, <1 year) to 3.79 (2.86-5.01) (Somali, 5-9 years). In contrast, in unadjusted analyses, Arabic and Somali calls were associated with decreased odds of being for worry/anxiety [OR = 0.47 (0.38-0.58) and 0.34 (0.21-0.50)], respectively, compared with non-interpreted calls. Our results suggest callers to the interpreted lines may need additional assistance navigating the healthcare system for pregnancy and for vomiting or nausea among children. These findings can inform healthcare services planning for immigrants to Sweden and highlight a novel use of telehealth data as a way to uncover disparities in healthcare use within a multi-linguistic population.

Healthcare use according to deprivation among French Alzheimer's Disease and Related Diseases subjects: a national cross-sectional descriptive study based on the FRA-DEM cohort.

Pluriprofessional and coordinated healthcare use is recommended for Alzheimer's Disease and Related Diseases (ADRD). Despite a protective health system, France is characterized by persistent and significant social inequalities in health. Although social health inequalities are well documented, less is known about social disparities in healthcare use in ADRD, especially in France. Therefore, this study aimed to describe healthcare use according to socioeconomic deprivation among ADRD subjects and the possible potentiating role of deprivation by age. We studied subjects identified with incident ADRD in 2017 in the French health insurance database (SNDS). We described a large extent of their healthcare use during the year following their ADRD identification. Deprivation was assessed through French deprivation index (Fdep), measured at the municipality level, and categorized into quintiles. We compared healthcare use according to the Fdep quintiles through chi-square tests. We stratified the description of certain healthcare uses by age groups (40-64 years, 65-74 years, 75-84 years, 85 years, and older), number of comorbidities (0, 1, 2-3, 4 comorbidities and more), or the presence of psychiatric comorbidity. In total, 124,441 subjects were included. The most deprived subjects had less use of physiotherapy (28.56% vs. 38.24%), ambulatory specialists (27.24% vs. 34.07%), ambulatory speech therapy (6.35% vs. 16.64%), preventive consultations (62.34% vs. 69.65%), and were less institutionalized (28.09% vs. 31.33%) than the less deprived ones. Conversely, they were more exposed to antipsychotics (11.16% vs. 8.43%), benzodiazepines (24.34% vs. 19.07%), hospital emergency care (63.84% vs. 57.57%), and potentially avoidable hospitalizations (12.04% vs. 10.95%) than the less deprived ones. The healthcare use of subjects with ADRD in France differed according to the deprivation index, suggesting potential health renunciation as in other diseases. These social inequalities may be driven by financial barriers and lower education levels, which contribute to health literacy (especially for preventive care). Further studies may explore them.

Racial Disparities in Health Care Use in Gentrifying Neighborhoods

Racial Disparities in Health Care Use in Gentrifying Neighborhoods

Healthcare Use Among Black and White Congenital Heart Disease Medicaid Enrollees.

Congenital heart disease (CHD) is the most common birth anomaly in the US. Research shows lost-to-follow-up trends and racial disparities in healthcare use. This study examines racial differences in healthcare use among Medicaid-covered children with CHD. Using 2010-2019 claims data from a pediatric Medicaid Accountable Care Organization, 960 Black and White children with complex CHD and ≥ 3years of continuous Medicaid coverage were identified. Three cohorts were constructed (starting age: < 1-year-olds, 1-5-year-olds, 6-15-year-olds) and followed for 3years. Multivariate analysis assessed annual healthcare use (cardiology, primary care, emergency department) by race, adjusting for patient and provider covariates. Overall, 51% of patients had an annual cardiology visit, and 54% had an annual primary care visit. Among the 1-5-year-old cohort, Black children were predicted to be 13% less likely to have an annual cardiology visit compared to their White counterparts (p = 0.001). Older Black children were predicted to be more likely to have a primary care visit compared to their White counterparts. Nearly half of Medicaid-enrolled children with complex CHD did not receive recommended cardiology care. Young Black children were less likely to receive an annual cardiac visit, while older Black children were more likely to receive primary care. While the percentage with an annual cardiac visit was low, the majority had seen a cardiologist within the 3-year window, suggesting these children are still receiving cardiology care, if less frequently than recommended. Opportunities exist for cardiology and primary care to collaborate to ensure patients receive timely recommended care.

Health Care Use among Medicare Beneficiaries with HIV and Depression during the COVID-19 Pandemic-United States, 2020.

Access and use of health care services are essential to health and well-being for people with HIV and HIV-related comorbidities. Health care use during the COVID-19 pandemic among Medicare beneficiaries (MBs) with concurrent HIV and depression has not been investigated. We used 2020 Medicare data to assess the percentage of MBs with claims for HIV and depression who also received hospitalization, outpatient diagnostic services, drug treatment, and outpatient procedures. We assessed person-level association between service receipt and HIV and depression, adjusting for known risk factors. MBs with claims for HIV and depression were more likely than those with neither claim to have claims for short-stay hospitalization, long-stay hospitalization, outpatient diagnostic services, prescription drugs, or outpatient procedures, supplies, and products. Non-White beneficiaries were more likely than White beneficiaries to be hospitalized but were less likely to receive drug treatment, outpatient diagnostic services, or outpatient procedures, supplies, and products during the pandemic. Significant disparities in health care use by race/ethnicity existed among MBs. Policymakers and practitioners can use these findings to implement public health policies and programs that reduce disparities in health care access and optimize use among vulnerable populations during a public health emergency.

Racial and Ethnic Disparities in Health Care Use and Access Associated With Loss of Medicaid Supplemental Insurance Eligibility Above the Federal Poverty Level

Medicaid supplemental insurance covers most cost sharing in Medicare. Among low-income Medicare beneficiaries, the loss of Medicaid eligibility above this program's income eligibility threshold (100% of federal poverty level [FPL]) may exacerbate racial and ethnic disparities in Medicare beneficiaries' ability to afford care. To examine whether exceeding the income threshold for Medicaid, which results in an abrupt loss of Medicaid eligibility, is associated with greater racial and ethnic disparities in access to and use of care. This cross-sectional study used a regression discontinuity design to assess differences in access to and use of care associated with exceeding the income threshold for Medicaid eligibility. We analyzed Medicare beneficiaries with incomes 0% to 200% of FPL from the 2008 to 2018 biennial waves of the Health and Retirement Study linked to Medicare administrative data. To identify racial and ethnic disparities associated with the loss of Medicaid eligibility, we compared discontinuities in outcomes among Black and Hispanic beneficiaries (n = 2885) and White beneficiaries (n = 5259). Analyses were conducted between January 1, 2022, and October 1, 2022. Patient-reported difficulty accessing care due to cost and outpatient service use, medication fills, and hospitalizations measured from Medicare administrative data. This cross-sectional study included 8144 participants (38 805 person-years), who when weighted represented 151 282 957 person-years in the community-dwelling population of Medicare beneficiaries aged 50 years and older and incomes less than 200% FPL. In the weighted sample, the mean (SD) age was 75.4 (9.4) years, 66.1% of beneficiaries were women, 14.8% were non-Hispanic Black, 13.6% were Hispanic, and 71.6% were White. Findings suggest that exceeding the Medicaid eligibility threshold was associated with a 43.8 percentage point (pp) (95% CI, 37.8-49.8) lower probability of Medicaid enrollment among Black and Hispanic Medicare beneficiaries and a 31.0 pp (95% CI, 25.4-36.6) lower probability of Medicaid enrollment among White beneficiaries. Among Black and Hispanic beneficiaries, exceeding the threshold was associated with increased cost-related barriers to care (discontinuity: 5.7 pp; 95% CI, 2.0-9.4), lower outpatient use (-6.3 services per person-year; 95% CI, -10.4 to -2.2), and fewer medication fills (-6.9 fills per person-year; 95% CI, -11.4 to -2.5), but it was not associated with a statistically significant discontinuity in hospitalizations. Discontinuities in these outcomes were smaller or nonsignificant among White beneficiaries. Consequently, exceeding the threshold was associated with widened disparities, including greater reductions in outpatient service use (disparity: -6.2 services per person-year; 95% CI, -11.7 to -0.6; P = .03) and medication fills (disparity: -7.2 fills per person-year; 95% CI, -13.4 to -1.0; P = .02) among Black and Hispanic vs White beneficiaries. This cross-sectional study found that loss of eligibility for Medicaid supplemental insurance above the federal poverty level, which increases cost sharing in Medicare, was associated with increased racial and ethnic health care disparities among low-income Medicare beneficiaries. Expanding eligibility for Medicaid supplemental insurance may narrow these disparities.

Does affirmative action reduce disparities in healthcare use by Indigenous peoples? Evidence from Australia's Indigenous Practice Incentives Program.

Globally, Indigenous populations experience poorer health but use less primary healthcare than their non-Indigenous counterparts. In 2010, the Australian government introduced a targeted reform aimed at reducing these disparities. The reform reduced, or abolished prescription medicine co-payments and provided financial incentives for GPs to better manage chronic disease care for Indigenous peoples. Exploiting the framework of a natural experiment, we investigate how the reform affected these health disparities in primary and specialist healthcare utilization using longitudinal administrative data from 75,826 Australians, including 1896 Indigenous peoples, with cardiovascular disease. The differences-in-differences estimates indicate that the reform increased primary healthcare use among Indigenous peoples, including 12.9% more prescription medicines, 6.6% more GP services, and 34.0% more chronic disease services, but also reduced specialist attendances by 11.8%. Increases in primary care were larger for those who received the largest co-payment relief and lived in metropolitan regions, whereas the reduction in specialist attendances was concentrated among lower income Indigenous patients. Affirmative action can reduce inequalities in Indigenous use of primary healthcare, albeit careful design is required to ensure that benefits are equitable and do not lead to substitution away from valuable, or necessary, care.

Healthcare use by children in North West London 2015-2019 by deprivation and integrated care access

Abstract Background England has a health system offering universal coverage, but disparities in healthcare use are increasing. Between 2007-2017, children living in more deprived areas had higher rates of unplanned care (Emergency Department (ED) attendance and hospital admissions), whereas children from less deprived areas had higher rates of planned care (General Practitioner (GP) contact and outpatient appointments). More detailed research to find solutions for this divergent pattern is required. Aim To assess the rates of GP contact, outpatient appointments, hospital admissions and ED attendance in North West London, by Index of Multiple Deprivation (IMD) decile of home postcode and access to an integrated care service providing linked care between multiple child health professionals ‘Connecting Care for Children (CC4C)', for children aged 0-18 years between 2015-2019. Methods Retrospective analysis of a de-identified database of integrated care records for 495,357 children. Results Children from the most deprived decile had higher rates of emergency admissions (0.070 per child per year vs. overall mean 0.040), elective admissions (0.076 vs. 0.032), ED attendances (0.754 vs. 0.358) and outpatient appointments (1.702 vs. 0.756) between 01.01.2015- 31.12.2019. Children from the least deprived decile had the second highest rates of outpatient appointments (0.911 vs. 0.756) and GP contact (8.192 vs. 5.390) between 01.01.2015- 31.12.2019. Children with access to the CC4C service, despite being from more deprived backgrounds, had lower rates of emergency admissions (0.028 vs. 0.037) compared to patients with access to usual care. P values &amp;lt;0.001 in all cases. Conclusions Greater deprivation was linked to higher rates of emergency admissions, but this was partially mitigated by access to more integrated healthcare models. Children from the least deprived decile continued to have disproportionately higher use of planned care. Key messages • Despite universal health coverage, children from more deprived areas continue to have disproportionately higher use of unplanned care. • Further research is required to explore whether integrated care solutions can reduce the burden on unplanned health services and inequalities in access to care.

Difference in medical service use among Korean gastric cancer survivors according to regional healthcare vulnerabilities: a cohort study

PurposeThis study investigated the relationship between medical service use and healthcare vulnerability, pre- and post-gastric cancer diagnosis. Differences between healthcare-vulnerable and healthcare-nonvulnerable regions identified inequities that require intervention.MethodsThis cohort study was done using the National Health Insurance claims data of patients diagnosed with gastric cancer between 2004 and 2013. The Position Value for Relative Comparison Index was used to determine whether the patients lived in a healthcare-vulnerable region. Medical service use was classified into annual outpatient treatment, hospitalization days, and emergency treatment. We used a generalized linear model to which the Poisson distribution was applied and compared regional differences in medical service use.ResultsA total of 1797 gastric cancer patients who had survived 5 years post-diagnosis were included in the study, of which 14.2% lived in healthcare-vulnerable regions. The patients in vulnerable regions surviving 5–7 years post-diagnosis had a higher number of outpatient visits than those in nonvulnerable regions. Furthermore, hospitalization days were lesser for patients in vulnerable regions who survived 6 years post-diagnosis than those in nonvulnerable regions; however, this number increased in the seventh year.ConclusionsOur results suggest that gastric cancer survivors living in healthcare-vulnerable regions have a higher probability of increased medical service use 5 years post-diagnosis compared with patients in nonvulnerable regions, which may significantly increase healthcare disparities over time. Therefore, in the future, additional research is needed to elucidate the causes of the disparities in healthcare use and the results of the differences in health outcomes.

CO82 Racial Disparity Following Surgical Care for Patients Sustaining Gustilo Type III Tibial Fractures Using Propensity-Score Matched Cohorts in a Medicaid Database

Racial disparities in healthcare use for severe trauma cases, where clinical decision-making may be guided exclusively by patients’ acuity, is not well documented. Our study compared healthcare utilization following Gustilo III tibial fractures.

Trends in Health Care Use Among Black and White Persons in the US, 1963-2019

In the US, Black people receive less health care than White people. Data on long-term trends in these disparities, which provide historical context for interpreting contemporary inequalities, are lacking. To assess trends in Black-White disparities in health care use since 1963. This cross-sectional study analyzed 29 US surveys conducted between 1963 and 2019 of noninstitutionalized Black and non-Hispanic White civilians. Self-reported race and ethnicity. Annual per capita visit rates (for ambulatory, dental, and emergency department care), inpatient hospitalization rates, and total per capita medical expenditures. Data from 154 859 Black and 446 944 White (non-Hispanic) individuals surveyed from 1963 to 2019 were analyzed (316 503 [52.6%] female; mean [SD] age, 37.0 [23.3] years). Disparities narrowed in the 1970s in the wake of landmark civil rights legislation and the implementation of Medicare and Medicaid but subsequently widened. For instance, the White-Black gap in ambulatory care visits decreased from 1.2 (95% CI, 1.0-1.4) visits per year in 1963 to 0.8 (95% CI, 0.6-1.0) visits per year in the 1970s and then increased, reaching 3.2 (95% CI, 3.0-3.4) visits per year in 2014 to 2019. Even among privately insured adults aged 18 to 64 years, White individuals used far more ambulatory care (2.6 [95% CI, 2.4-2.8] more visits per year) than Black individuals in 2014 to 2019. Similarly, White peoples' overall health care use, measured in dollars per capita, exceeded that of Black people in every year. After narrowing from 1.96 in the 1960s to 1.26 in the 1970s, the White-Black expenditure ratio began widening in the 1980s, reaching 1.46 in the 1990s; it remained between 1.31 and 1.39 in subsequent periods. This study's findings indicate that racial inequities in care have persisted for 6 decades and widened in recent years, suggesting the persistence and even fortification of structural racism in health care access. Reform efforts should include training more Black health care professionals, investments in Black-serving health facilities, and implementing universal health coverage that eliminates cost barriers.

Disparities in health care use among low-salary and high-salary employees.

To examine how health care utilization and spending vary for low-income employees compared with high-income employees enrolled in an employer-sponsored high-deductible health plan (HDHP). We use commercial medical claims data and administrative human resource data from a large employer between 2014 and 2018. We link the administrative data, which include details on salary and other benefit choices, to each employee in each year with medical claims. Our variables of interest include medical spending and utilization outcomes grouped into different care settings. Using multivariate regressions, we estimate the association between salary buckets and health care utilization and spending, controlling for demographic characteristics, comorbidities of employees, human resource health plan benefits, and geography. Employees earning less than $75,000 show lower rates of utilization and spending on preventive measures, such as outpatient visits and prescription drugs, while having higher rates of utilization of preventable and avoidable emergency department visits and inpatient stays, resulting in lower overall health care spending among lower-salary employees. Low-salary employees enrolled in HDHPs have higher rates of acute care utilization and spending but lower rates of primary care spending compared with high-salary employees. Results suggest that HDHPs discourage routine physician-patient care among low-salary employees.

Mind the Gate: General Practitioner's Attitudes Towards Depressed Patients with Diverse Migration Backgrounds.

This study aims to examine (a) whether there are differences in general practitioners' (GPs) attitudes towards native Belgian patients, patients of foreign descent and asylum seeking patients who all express symptoms of major depression, and (b) whether these differences depend on GPs' experience with cultural competency training and interethnic contact. Using a video vignette study among 404 Flemish (Belgium) GPs, we find evidence of a provider bias. While GPs regard a patient of foreign descent as less trustworthy and less able to adhere to medical recommendations than a native Belgian patient, they also hold more pessimistic views on a potential recovery of an asylum seeking patient. In addition, we find that cultural competency training might alter GPs' attitudes of asylum seeking patients in a positive way. Summarized, our research highlights the need to target stereotypes among GPs for interventions designed to reduce migration-based disparities in healthcare use and health status.

Racial disparities in use of non-emergency outpatient care by Medicaid-eligible adults after release from prison: Wisconsin, 2015–2017

BackgroundBlack individuals with substance use disorders (SUD) are less likely to receive effective treatment and more likely to be incarcerated compared to White individuals. Despite this, research documenting racial disparities in healthcare use among people with SUD releasing from prison is limited. ObjectivesThe goals of this study are to: 1) assess racial disparities in Medicaid enrollment among individuals released from prison with a history of substance use; and 2) characterize racial disparities in outpatient service use, emergency department (ED) use, and receipt of medication for opioid use disorder (MOUD) among those who do enroll in Medicaid. MethodsThis study included individuals with a history of substance use that were released from Wisconsin state correctional facilities from April 2015 through June 2017. Medicaid enrollment and claims data were analyzed to compare healthcare utilization 6 months post-release between individuals identifying as Black, White, or other races. The total sample included 15,621 prison releases among 14,400 unique persons with a history of substance abuse. ResultsAmong the 15,621 prison releases, 10,836 (69.4%) were enrolled in Medicaid in the month of release. The proportion of prison releases among individuals of other races who enrolled in Medicaid (506/934, 54.2%) was significantly lower than the proportion among Black individuals (3679/5306, 69.3%) and White individuals (6651/9381, 70.9%). Among the subset of 7685 releases enrolled in Medicaid for 6 months post-release, 5040 (65.6%) had an outpatient visit within 6 months; 73.9% of White, 51.3% of Black, and 66.9% of other individuals. Relative to White individuals, Black individuals were 0.324 times less likely (P < 0.001) and individuals of other races were 0.591 times less likely (P = 0.004) to have an outpatient visit. Of the 7685 releases, 1016 (13.2%) had an ED visit within 6 months; 12.0% of White, 13.8% of Black and 25.1% of other individuals. Relative to White individuals, Black individuals were 1.23 times more likely (P = 0.019) and individuals of other races were 2.64 times more likely (P < 0.001) to have an ED visit. Black individuals were 0.100 times less likely (P < 0.001) and individuals of other races were 0.435 times less likely (P = 0.016) to receive MOUD post-release compared to White individuals. ConclusionsBlack adults with a history of substance use are significantly less likely than White adults to use non-emergency outpatient services after release from incarceration. Improving equitable access to outpatient services is needed to reduce health disparities across racial groups.

Association Between Race/Ethnicity and Disparities in Health Care Use Before First-Episode Psychosis Among Privately Insured Young Patients

Racial/ethnic disparities in health care use and clinical outcomes for behavioral health disorders, including psychosis, are well documented, but less is known about these disparities during the period leading up to first-episode psychosis (FEP). To describe the racial/ethnic disparities in behavioral health care use and prescription drug use of children and young adults before the diagnosis of FEP. An observational cohort study was conducted using medical and prescription drug claims from January 1, 2007, to September 30, 2015, obtained from Optum's deidentified Clinformatics Data Mart Database, a commercial claims database augmented with race/ethnicity and socioeconomic variables. Data analysis was performed from February 6, 2018, to October 10, 2020. First-episode psychosis was determined by the presence of psychosis diagnoses on claims for at least 1 hospitalization or 2 outpatient events, with a continuous enrollment requirement of at least 2 years before the first diagnosis. Participants included 3017 Black, Hispanic, or White patients who were continually enrolled in commercial insurance plans and received an FEP diagnosis between the ages of 10 and 21 years. Race/ethnicity was determined from a commercial claims database. Rates of inpatient admission, emergency department presentation, and outpatient visits (including psychotherapy), behavioral health disorder diagnoses, and antipsychotic/antidepressant prescription fills were determined for the year before FEP. Race/ethnicity was also obtained from Optum's claims database. With use of multivariable logistic regression, results were adjusted for covariates including estimated household income, age, sex, and geographic division in the US. Of the 3017 patients with FEP, 643 Black or Hispanic patients (343 [53.3%] Black, 300 [46.7%] Hispanic, 324 [50.4%] male, mean [SD] age, 17.2 [2.76] years) were less likely than 2374 White patients (1210 [51.0%] male, mean age, 17.0 [2.72] years) to receive comorbid behavioral health disorder diagnoses in the year before the diagnosis of FEP (410 [63.8%] vs 1806 [76.1%], χ2 = 39.3; P < .001). Except for emergency care, behavioral health care use rates were lower in Black and Hispanic patients vs White patients (424 [65.9%] vs 1868 [78.7%]; χ2 = 45.0; P < .001), particularly for outpatient visits with behavioral health care professionals (232 [36.1%] vs 1236 [52.1%]; χ2 = 51.7; P < .001). After adjustment for socioeconomic covariates, behavioral health care use rates (68.9% vs 79.2%; P < .001), outpatient visits with behavioral health professionals (37.7% vs 51.2%; P < .001), and other outcomes remained significantly lower for Black and Hispanic patients vs White patients. The results of this study extend existing research findings of well-known racial/ethnic disparities in the population of patients who are diagnosed with FEP. These differences were apparent in young patients with continuous commercial health insurance and after controlling for household income. Providing equal access to preventive outpatient behavioral health care may increase opportunities for timely detection of psychotic symptoms and early intervention and improve differential outcomes after FEP.

Socioeconomic disparities in patients with psychogenic nonepileptic seizures and their caregivers

ObjectiveThere is no information on disparities of patients with psychogenic nonepileptic seizures (PNES) and their caregivers. The objective of this exploratory study is to compare patients with PNES and caregivers with low socioeconomic status (SES) with those of high SES for disparities in healthcare use, seizures, medication adverse effects, psychosocial impact, and knowledge about epilepsy. MethodsPatients with PNES and caregivers completed surveys about the aforementioned outcomes during their Epilepsy Monitoring Unit (EMU) admission. Associations were evaluated using SES as a binary independent variable and the patient- and caregiver-related outcomes as dependent variables. ResultsForty-three patients and 28 caregivers were recruited. The majority of patients were on average 36 years old, single women, unemployed, with some college education. The majority had PNES for 8 years averaging 20 seizures per month and were maintained on ≥2 antiepileptic drugs (AEDs) prior to their EMU admission. Most caregivers were first-degree relatives with a mean age of 43 years, married employed women of higher educational attainment, typically cohabitating with the patients. Low SES patients showed poorer knowledge about epilepsy (p < 0.0001) and higher anxiety levels (p = 0.03). Conversely, high SES patients demonstrated poorer social functioning (p = 0.04). High SES caregivers showed higher caregiving burden (p = 0.01). ConclusionThere are noteworthy disparities in patients with PNES of different SES and their caregivers. Identification of those disparities is a critical step in the creation of appropriate interventions to address them.

Structural stigma and sexual orientation disparities in healthcare use: Evidence from Australian Census-linked-administrative data.

This study explores the extent to which structural stigma (which encompasses sociocultural and institutional constraining factors) is associated with sexual orientation disparities in healthcare service and prescription medicine use. Using the responses to the 2017 Australian Marriage Law Postal Survey, we use the regional percentage of votes against legalising same-sex marriage as a measure of structural stigma. We then map these results to Census-linked-administrative data, including 83,519 individuals in same-sex relationships - one of the largest administrative datasets to date where individuals in same-sex relationships are identified. Controlling for regional and individual-level confounders, we find that structural stigma is associated with increased use of nervous system medications (which largely comprise antidepressants) but reduced GP visits for both females and males in same-sex relationships. More regional stigma is also associated with reduced use of pathology services and anti-infective prescriptions for males in same-sex relationships. Altogether, our results suggest that individuals in same-sex relationships living in stigmatised regions are in poorer health but are less likely to access primary healthcare.

Socioeconomic Disparities in Cancer Treatment, Service Utilization and Catastrophic Health Expenditure in China: A Cross-Sectional Analysis.

Background: This study aims (1) to assess socioeconomic disparities in healthcare use and catastrophic health expenditure (CHE) among cancer patients in China, which is defined as the point at which annual household health payments exceeded 40% of non-food household consumption expenditure, and (2) to examine the association of different treatments for cancers with health service utilization and CHE. Methods: We used nationally representative data from the China Health and Retirement Longitudinal Study in 2015 with 17,018 participants in which 381 with doctor-diagnosed cancer. The main treatments for cancer included the Chinese traditional medicine (TCM), western modern medicine (refers to taking western modern medications excluding TCM and other treatments for cancers), surgery, and radiation/chemotherapy. Concentration curve was used to assess economic-related disparities in healthcare and CHE. Multivariate regression models were used to examine the impact of the cancer treatment on health service use and incidence of CHE. Results: The main cancer treatments and health service use were more concentrated among the rich patients than among the poor patients in 2015. There was a positive association between the treatment of cancer and outpatient visit (Adjusted Odds Ratio (AOR) = 2.492, 95% CI = 1.506, 4.125), inpatient visit (AOR = 1.817, 95% CI = 1.098, 3.007), as well as CHE (AOR = 2.744, 95% CI = 1.578, 4.772). All cancer therapies except for medication treatments were associated with a higher incidence of CHE, particularly the surgery therapy (AOR = 6.05, 95% CI = 3.393, 27.866) in urban areas. Conclusion: Disparities in treatment and health service utilization among Chinese cancer patients was largely determined by financial capability. The current insurance schemes are insufficient to address these disparities. A comprehensive health insurance policy of expanding the current benefits packages and strengthening the Public Medical Assistance System, are essential for Chinese adults with cancer.

Do racial and ethnic disparities in health care use vary with health?

To determine the relationship between health status and the magnitude of black-white and Hispanic-white disparities in the likelihood of having any office-based or hospital outpatient department visits, as well as number of visits. 2010-2014 Medical Expenditure Panel Survey. The probability of having a visit is modeled using a Probit model, and the number of visits using a negative binomial model. We use a nonlinear rank-and-replace method to adjust minority health status to be comparable to that of whites, and predict utilization at different levels of health by fixing an indicator of health status. We compare estimated differences in predicted utilization across racial/ethnic groups for each level of health status to map out the relationship between the racial/ethnic disparity and health status, also stratifying by health insurance coverage. We subset to nonelderly adults. We find that Hispanic-white differences in the probability of having an office-based or hospital outpatient department were widest among adults in excellent health (27 percentage points, 95% CI: [23, 31]) and narrowest when reporting poor or fair health (15 p.p. [13, 17]). Black-white and Hispanic-white differences in the number of visits were wider for adults who report poor or fair health (5.3 visits [4.0, 6.6] and 5.7 [4.3, 7.0], respectively) compared to excellent health (1.7 [1.2, 2.1] and 1.5 [1.1, 2.0], respectively) among adults who are full-year privately insured. The magnitudes of racial/ethnic disparities vary with level of health.

Income disparities in healthcare use remain after controlling for healthcare need: evidence from Swedish register data on psoriasis and psoriatic arthritis

We used a southern Swedish cohort of psoriasis (PSO) and psoriatic arthritis (PsA) patients and population-based referents (N = 57,800) to investigate the influence of socioeconomic and demographic factors on the probability of healthcare use and on healthcare costs when controlling for need as measured by PSO/PsA and common additional morbidities such as diabetes, depression and myocardial infarction. People with PSO/PsA were identified by ICD-10 codes in the Skåne Healthcare Register 1998–2007. Resource use and costs for years 2008–2011 were retrieved from the Skåne Healthcare Register and the Swedish Prescribed Drug Register, and socioeconomic data were retrieved from Statistics Sweden. After controlling for PSO/PsA and common additional morbidities, income, and to some extent education, had significant effects on the probability of five types of healthcare use. Overall, income showed a bell-shaped relationship to healthcare costs, with patients in income quintiles 2 and 3 having the highest mean annualized cost irrespective of model specification. Education did not have a significant effect in most specifications. Analyses including interaction effects indicated similarly higher costs across income quintiles in the PSO and PsA subgroups, though these cost differences were lower in magnitude for patients with PSO in quintile 5 and with PsA in quintile 1. In conclusion, our results show persistent socioeconomic disparities in healthcare use among a cohort of chronically ill patients and referents, even after controlling for the presence of PSO/PsA and common additional morbidities. These disparities persist even in a country with general healthcare coverage and low out-of-pocket payments.