Even with ChatGPT, race matters.

BACKGROUND: Applications of large language models such as ChatGPT are increasingly being studied. Before these technologies become entrenched, it is crucial to analyze whether they perpetuate racial inequities. METHODS: We asked Open AI's ChatGPT-3.5 and ChatGPT-4 to simplify 750 radiology reports with the prompt "I am a ___ patient. Simplify this radiology report:" while providing the context of the five major racial classifications on the U.S. census: White, Black or African American, American Indian or Alaska Native, Asian, and Native Hawaiian or other Pacific Islander. To ensure an unbiased analysis, the readability scores of the outputs were calculated and compared. RESULTS: Statistically significant differences were found in both models based on the racial context. For ChatGPT-3.5, output for White and Asian was at a significantly higher reading grade level than both Black or African American and American Indian or Alaska Native, among other differences. For ChatGPT-4, output for Asian was at a significantly higher reading grade level than American Indian or Alaska Native and Native Hawaiian or other Pacific Islander, among other differences. CONCLUSION: Here, we tested an application where we would expect no differences in output based on racial classification. Hence, the differences found are alarming and demonstrate that the medical community must remain vigilant to ensure large language models do not provide biased or otherwise harmful outputs.

Cost-Effectiveness of CT, CTA, MRI, and Specialized MRI for Evaluation of Patients Presenting to the Emergency Department With Dizziness.

BACKGROUND. Underlying stroke is often misdiagnosed in patients presenting with dizziness. Although such patients are usually ineligible for acute stroke treatment, accurate diagnosis may still improve outcomes through selection of patients for secondary prevention measures. OBJECTIVE. The purpose of our study was to investigate the cost-effectiveness of differing neuroimaging approaches in the evaluation of patients presenting to the emergency department (ED) with dizziness who are not candidates for acute intervention. METHODS. A Markov decision-analytic model was constructed from a health care system perspective for the evaluation of a patient presenting to the ED with dizziness. Four diagnostic strategies were compared: noncontrast head CT, head and neck CTA, conventional brain MRI, and specialized brain MRI (including multiplanar high-resolution DWI). Differing long-term costs and outcomes related to stroke detection and secondary prevention measures were compared. Cost-effectiveness was calculated in terms of lifetime expenditures in 2022 U.S. dollars for each quality-adjusted life year (QALY); deterministic and probabilistic sensitivity analyses were performed. RESULTS. Specialized MRI resulted in the highest QALYs and was the most cost-effective strategy with US$13,477 greater cost and 0.48 greater QALYs compared with noncontrast head CT. Conventional MRI had the next-highest health benefit, although was dominated by extension with incremental cost of US$6757 and 0.25 QALY; CTA was also dominated by extension, with incremental cost of US$3952 for 0.13 QALY. Non-contrast CT alone had the lowest utility among the four imaging choices. In the deterministic sensitivity analyses, specialized MRI remained the most cost-effective strategy. Conventional MRI was more cost-effective than CTA across a wide range of model parameters, with incremental cost-effectiveness remaining less than US$30,000/QALY. Probabilistic sensitivity analysis yielded similar results as found in the base-case analysis, with specialized MRI being more cost-effective than conventional MRI, which in turn was more cost-effective than CTA. CONCLUSION. The use of MRI in patients presenting to the ED with dizziness improves stroke detection and selection for subsequent preventive measures. MRI-based evaluation leads to lower long-term costs and higher cumulative QALYs. CLINICAL IMPACT. MRI, incorporating specialized protocols when available, is the preferred approach for evaluation of patients presenting to the ED with dizziness, to establish a stroke diagnosis and to select patients for secondary prevention measures.

Distribution and Disparities of Industry Payments to Radiologists (2016-2020).

BACKGROUND: The frequency, magnitude, and distribution of industry payments to radiologists are not well understood. RATIONALE AND OBJECTIVES: The aim of this study was to analyze the distribution of industry payments to physicians working in diagnostic radiology, interventional radiology, and radiation oncology, study the categories of payments and determine their correlation. MATERIALS AND METHODS: The Open Payments Database from the Centers for Medicare & Medicaid Services was accessed and analyzed for the period from January 1, 2016 to December 31, 2020. Payments were grouped into six categories: consulting fees, education, gifts, research, speaker fees, and royalties/ownership. The total amount and types of industry payments going to the top 5% group were determined overall and for each category of payment. RESULTS: From 2016 to 2020, a total of 513 020 payments, amounting to $370 782 608, were made to 28 739 radiologists suggesting that approximately 70% of the 41 000 radiologists in the US received at least one industry payment during the 5-year period. The median payment value was $27 (IQR: $15-$120) and the median number of payments per physician over the 5-year period was 4 (IQR: 1-13). Gifts were the most frequent payment type made (76.4%), but accounted for only 4.8% of payment value. The median total value of payments earned by members of the top 5% group over the 5-year period was $58 878 (IQR: $29 686-$162 425) ($11 776 per year) compared to $172 (IQR: $49-877) ($34 per year) in the bottom 95% group. Members of the top 5% group received a median of 67 (IQR: 26-147) individual payments (13 payments per year) while members of the bottom 95% group received a median of 3 (IQR: 1-11) (0.6 payments per year). CONCLUSION: Between 2016 and 2020, industry payments to radiologists were highly concentrated both in terms of number/frequency and value of payments.

No such thing as a free lunch: The direct marginal costs of breastfeeding.

Understanding costs associated with breastfeeding is critical to developing maximally effective policy to support breastfeeding by addressing financial barriers. Breastfeeding is not without cost; direct costs include those of equipment, modified nutritional intake, and time (opportunity cost). Breastfeeding need not require more equipment than formula feeding, though maternal equipment use varies by maternal preference. Meeting increased nutritional demands requires increased spending on food and potentially dietary supplementation, the marginal cost of which depends on a mother's baseline diet. The opportunity cost of the three to four hours per day breastfeeding demands may be prohibitively high, particularly to low-income workers. These costs are relatively highest for low-income individuals, a group disproportionately comprising racial and ethnic minorities, and who demonstrate lower rates of breastfeeding than their white and higher-income peers. Acknowledging and addressing these costs and their regressive nature represents a critical component of effective breastfeeding policy and promotion.

Cost-effectiveness of chimeric antigen receptor T-cell therapy in adults with relapsed or refractory follicular lymphoma.

Follicular lymphoma (FL) is traditionally considered treatable but incurable. In March 2021, the US Food and Drug Administration approved the use of chimeric antigen receptor (CAR) T-cell therapy in patients with relapsed or refractory (R/R) FL after ≥2 lines of therapy. Priced at $373 000, CAR T-cell therapy is potentially curative, and its cost-effectiveness compared with other modern R/R FL treatment strategies is unknown. We developed a Markov model to assess the cost-effectiveness of third-line CAR T-cell vs standard of care (SOC) therapies in adults with R/R FL. We estimated progression rates for patients receiving CAR T-cell and SOC therapies from the ZUMA-5 trial and the LEO CReWE study, respectively. We calculated costs, discounted life years, quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER) of CAR T-cell vs SOC therapies with a willingness-to-pay threshold of $150 000 per QALY. Our analysis was conducted from a US payer's perspective over a lifetime horizon. In our base-case model, the cost of the CAR T-cell strategy was $731 682 compared with $458 490 for SOC therapies. However, CAR T-cell therapy was associated with incremental clinical benefit of 1.50 QALYs, resulting in an ICER of $182 127 per QALY. Our model was most sensitive to the utilities associated with CAR T-cell therapy remission and third-line SOC therapies and to the total upfront CAR T-cell therapy cost. Under current pricing, CAR T-cell therapy is unlikely to be cost-effective in unselected patients with FL in the third-line setting. Both randomized clinical trials and longer term clinical follow-up can help clarify the benefits of CAR T-cell therapy and optimal sequencing in patients with FL.

Assessment of the COVID-19 vaccine market landscape in 2021 relative to challenges in low- and middle-income countries.

To evaluate the early vaccine landscape relative to challenges faced by low- and middle-income countries (LMIC), we conducted a cross-sectional study of all COVID-19 vaccines in clinical trials in 2021 (n = 123) using a structured 13-point analytic framework. Supply sustainability was defined as a composite metric of four manufacturing and regulation variables. Vaccine desirability was defined as a composite metric of nine development and distribution variables. Ten vaccines in phases 2/3, 3, or 4 and five vaccines in phases 1 and 1/2 had a sustainability score equal to or above 0.5. Ten vaccines in phases 2/3, 3, or 4 and seven vaccines in phases 1 and 1/2 had a desirability score equal to or above 0.5. No vaccines in Phases 2/3, 3, or 4 met more than one distribution criterion. Structured assessment COVID-19 vaccine candidates in clinical trials in 2021 revealed numerous challenges to adequate access in LMICs. Key policy recommendations included increasing technology transfer to LMICs, developing international legal mechanisms to prevent export bans, and increasing investment in vaccine candidates with more favorable distribution profiles.

Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018.

Importance: Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years. Objective: To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US. Design, Setting, and Participants: This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022. Exposures: Self-reported race, ethnicity, household income, and sex. Main Outcomes and Measures: Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age. Results: The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age. Conclusions and Relevance: The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.

A systematic review of cost-effectiveness analyses on endovascular thrombectomy in ischemic stroke patients.

OBJECTIVE: The objective of this study was to examine the published cost-effectiveness analyses (CEAs) on endovascular thrombectomy (EVT) in acute stroke patients, with a particular focus on the practice of accounting for costs and utilities. METHODS: We conducted a systematic review of published CEAs on EVT in acute stroke patients from 1/1/2009 to 10/1/2019. Published CEAs were searched in Ovid Embase, Ovid MEDLINE, and Web of Science. Cost or comparative effectiveness analyses were excluded. Risk of bias and quality assessment was based on the Consolidated Health Economic Evaluation Reporting Standard checklist. RESULTS: Twenty-one studies were included in the final analysis, from the USA, Canada, Europe, Asia, and Australia. They all concluded EVT to be cost-effective, but with significant variations in methodology. Fifteen studies employed a long-term horizon (> 20 years), while only 11 incorporated risk of recurrent strokes. The willingness-to-pay (WTP) threshold varied from $10,000/quality-adjusted life year (QALY) to $120,000/QALY, with $50,000/QALY and $100,000/QALY being the most commonly used. Five studies undertook a societal perspective, but only one accounted for indirect costs. Seventeen studies based outcomes on 90-day modified Rankin Scale (mRS) scores, and 9 of these 17 studies grouped outcomes by mRS 0-2 and 3-5. Among these 9 studies, the range of QALY score reported for mRS 0-2 was 0.71-0.85 QALY, and that of mRS 3-5 was 0.21-0.40. CONCLUSIONS: Our study reveals significant heterogeneity in previously published thrombectomy CEAs, highlighting need for better standardization in future CEAs. KEY POINTS: • All included studies concluded thrombectomy to be cost-effective, from both long- and short-term perspectives. • Only 5 out of 22 studies undertook a societal perspective, and only 1 accounted for indirect costs. • The range of value for mRS 0-2 was 0.71-0.85 quality-adjusted life year (QALY) and 0.21-0.40 QALY for mRS 3-5.

Perioperative magnetic resonance imaging in breast cancer care: Distinct adoption trajectories among physician patient-sharing networks.

BACKGROUND: Despite no proven benefit in clinical outcomes, perioperative magnetic resonance imaging (MRI) was rapidly adopted into breast cancer care in the 2000's, offering a prime opportunity for assessing factors influencing overutilization of unproven technology. OBJECTIVES: To examine variation among physician patient-sharing networks in their trajectory of adopting perioperative MRI for breast cancer surgery and compare the characteristics of patients, providers, and mastectomy use in physician networks that had different adoption trajectories. METHODS AND FINDINGS: Using the Surveillance, Epidemiology, and End Results-Medicare database in 2004-2009, we identified 147 physician patient-sharing networks (caring for 26,886 patients with stage I-III breast cancer). After adjusting for patient clinical risk factors, we calculated risk-adjusted rate of perioperative MRI use for each physician network in 2004-2005, 2006-2007, and 2008-2009, respectively. Based on the risk-adjusted rate, we identified three distinct trajectories of adopting perioperative MRI among physician networks: 1) low adoption (risk-adjusted rate of perioperative MRI increased from 2.8% in 2004-2005 to 14.8% in 2008-2009), 2) medium adoption (8.8% to 45.1%), and 3) high adoption (33.0% to 71.7%). Physician networks in the higher adoption trajectory tended to have a larger proportion of cancer specialists, more patients with high income, and fewer patients who were Black. After adjusting for patients' clinical risk factors, the proportion of patients undergoing mastectomy decreased from 41.1% in 2004-2005 to 38.5% in 2008-2009 among those in physician networks with low MRI adoption, but increased from 27.0% to 31.4% among those in physician networks with high MRI adoption (p = 0.03 for the interaction term between trajectory group and time). CONCLUSIONS: Physician patient-sharing networks varied in their trajectory of adopting perioperative MRI. These distinct trajectories were associated with the composition of patients and providers in the networks, and had important implications for patterns of mastectomy use.

Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018.

IMPORTANCE: The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades. OBJECTIVE: To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US. DESIGN, SETTING, AND PARTICIPANTS: Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults. EXPOSURES: Self-reported race, ethnicity, and income level. MAIN OUTCOMES AND MEASURES: Rates and racial and ethnic differences in self-reported health status and health care access and affordability. RESULTS: The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification. CONCLUSIONS AND RELEVANCE: In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.

Multicentre methodological study to create a publicly available score of hospital financial standing in the USA.

OBJECTIVES: To create a straightforward scoring procedure based on widely available, inexpensive financial data that provides an assessment of the financial health of a hospital. DESIGN: Methodological study. SETTING: Multicentre study. PARTICIPANTS: All hospitals and health systems reporting the required financial metrics in the USA in 2017 were included for a total of 1075 participants. INTERVENTIONS: We examined a list of 232 hospital financial indicators and used existing models and financial literature to select 30 metrics that sufficiently describe hospital operations. In a set of hospital financial data from 2017, we used principal coordinate analysis to assess collinearity among variables and eliminated redundant variables. We isolated 10 unique variables, each assigned a weight equal to the share of its coefficient in a regression onto Moody's Credit Rating, our predefined gold standard. The sum of weighted variables is a single composite score named the Yale Hospital Financial Score (YHFS). PRIMARY OUTCOME MEASURES: Ability to reproduce both financial trends from a 'gold-standard' metric and known associations with non-fiscal data. RESULTS: The validity of the YHFS was evaluated by: (1) cross-validating it with previously excluded data; (2) comparing it to existing models and (3) replicating known associations with non-fiscal data. Ten per cent of the initial dataset had been reserved for validation and was not used in creating the model; the YHFS predicts 96.7% of the variation in this reserved sample, demonstrating reproducibility. The YHFS predicts 90.5% and 88.8% of the variation in Moody's and Standard and Poor's bond ratings, respectively, supporting its validity. As expected, larger hospitals had higher YHFS scores whereas a greater share of Medicare discharges correlated with lower YHFS scores. CONCLUSIONS: We created a reliable and publicly available composite score of hospital financial stability.

Musculoskeletal Urgent Care Centers Restrict Access for Patients with Medicaid Insurance Based on Policy and Location.

BACKGROUND: As the urgent care landscape evolves, specialized musculoskeletal urgent care centers (MUCCs) are becoming more prevalent. MUCCs have been offered as a convenient, cost-effective option for timely acute orthopaedic care. However, a recent "secret-shopper" study on patient access to MUCCs in Connecticut demonstrated that patients with Medicaid had limited access to these orthopaedic-specific urgent care centers. To investigate how generalizable these regional findings are to the United States, we conducted a nationwide secret-shopper study of MUCCs to identify determinants of patient access. QUESTIONS/PURPOSES: (1) What proportion of MUCCs in the United States provide access for patients with Medicaid insurance? (2) What factors are associated with MUCCs providing access for patients with Medicaid insurance? (3) What barriers exist for patients seeking care at MUCCs? METHODS: An online search of all MUCCs across the United States was conducted in this cross-sectional study. Three separate search modalities were used to gather a complete list. Of the 565 identified, 558 were contacted by phone with investigators posing over the telephone as simulated patients seeking treatment for a sprained ankle. Thirty-nine percent (216 of 558) of centers were located in the South, 13% (71 of 558) in the West, 25% (138 of 558) in the Midwest, and 24% (133 of 558) in New England. This study was given an exemption waiver by our institution's IRB. MUCCs were contacted using a standardized script to assess acceptance of Medicaid insurance and identify barriers to care. Question 1 was answered through determining the percentage of MUCCs that accepted Medicaid insurance. Question 2 considered whether there was an association between Medicaid acceptance and factors such as Medicaid physician reimbursements or MUCC center type. Question 3 sought to characterize the prevalence of any other means of limiting access for Medicaid patients, including requiring a referral for a visit and disallowing continuity of care at that MUCC. RESULTS: Of the MUCCs contacted, 58% (323 of 558) accepted Medicaid insurance. In 16 states, the proportion of MUCCs that accepted Medicaid was equal to or less than 50%. In 22 states, all MUCCs surveyed accepted Medicaid insurance. Academic-affiliated MUCCs accepted Medicaid patients at a higher proportion than centers owned by private practices (odds ratio 14 [95% CI 4.2 to 44]; p < 0.001). States with higher Medicaid physician reimbursements saw proportional increases in the percentage of MUCCs that accepted Medicaid insurance under multivariable analysis (OR 36 [95% CI 14 to 99]; p < 0.001). Barriers to care for Medicaid patients characterized included location restriction and primary care physician referral requirements. CONCLUSION: It is clear that musculoskeletal urgent care at these centers is inaccessible to a large segment of the Medicaid-insured population. This inaccessibility seems to be related to state Medicaid physician fee schedules and a center's affiliation with a private orthopaedic practice, indicating how underlying financial pressures influence private practice policies. Ultimately, the refusal of Medicaid by MUCCs may lead to disparities in which patients with private insurance are cared for at MUCCs, while those with Medicaid may experience delays in care. Going forward, there are three main options to tackle this issue: increasing Medicaid physician reimbursement to provide a financial incentive, establishing stricter standards for MUCCs to operate at the state level, or streamlining administration to reduce costs overall. Further research will be necessary to evaluate which policy intervention will be most effective. LEVEL OF EVIDENCE: Level II, prognostic study.

Association of Graduate Medical Education With Hospital Performance and Patient Outcomes.

Importance: Graduate medical education (GME) funding consists of more than $10 billion annual subsidies awarded to academic hospitals to offset the cost of resident training. Critics have questioned the utility of these subsidies and accountability of recipient hospitals. Objective: To determine the association of GME funding with hospital performance by examining 3 domains of hospital operations: financial standing, clinical outcomes, and resident academic performance. Design, Setting, and Participants: This study is an economic evaluation of all academic centers that received GME funding in 2017. GME funding data were acquired from the Hospital Compare Database. Statistical analysis was performed from May 2016 to April 2020. Exposures: GME funding. Main Outcomes and Measures: This study assessed the association between GME funding and each aspect of hospital operations. Publicly available hospital financial data were used to calculate a financial performance score from 0 to 100 for each hospital. Clinical outcomes were defined as 30-day mortality, readmission, and complication rates for a set of predefined conditions. Resident academic performance was determined by Board Certification Examination (BCE) pass rates at 0, 2, and 5 years after GME funding was awarded. Confounder-adjusted linear regression models were used to test association between GME funding data and a hospital's financial standing, clinical outcomes, and resident academic performance. Results: The sample consisted of 1298 GME-funded hospitals, with a median (IQR) of 265 (168-415) beds and 32 (10-101) residents per training site. GME funding was negatively correlated with hospitals' financial scores (ß = -7.9; 95% CI, -10.9 to -4.8, P = .001). Each additional $1 million in GME funding was associated with lower 30-day mortality from myocardial infarction (-2.34%; 95% CI, -3.59% to -1.08%, P < .001), heart failure (-2.59%; 95% CI, -3.93% to -1.24%, P < .001), pneumonia (-2.20%; 95% CI, -3.99% to -0.40%, P = .02), chronic obstructive pulmonary disease ( -1.20%; 95% CI, -2.35% to -0.05%, P = .04), and stroke (-3.40%; 95% CI, -5.46% to -1.33%, P = .001). There was no association between GME funding and readmission rates. There was an association between higher GME funding and higher internal medicine BCE pass rates (0.066% [95% CI, 0.033% to 0.099%] per $1 million in GME funding; P < .001). Conclusions and Relevance: This study found a negative linear correlation between GME funding and patient mortality and a positive correlation between GME funding and resident BCE pass rates in adjusted regression models. The findings also suggest that hospitals that receive more GME funding are not more financially stable.

Racial and Ethnic Disparities in Health of Adults in the United States: A 20-Year National Health Interview Survey Analysis, 1999-2018.

IMPORTANCE: Thirty-five years ago, the Heckler Report described health disparities among minority populations in the US. Since then, policies have been implemented to address these disparities. However, a recent evaluation of progress towards improving the health and health equity among US adults is lacking. OBJECTIVES: To evaluate racial/ethnic disparities in the physical and mental health of US adults over the last 2 decades. DESIGN: Cross-sectional. SETTING: National Health Interview Survey data, years 1999-2018. PARTICIPANTS: Adults aged 18-85 years. EXPOSURE: Race/ethnicity subgroups (non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic). MAIN OUTCOME AND MEASURES: Proportion of adults reporting poor/fair health status, severe psychological distress, functional limitation, and insufficient sleep. We also estimated the gap between non-Hispanic White and the other subgroups for these four outcomes. RESULTS: We included 596,355 adults (mean age 46 years, 51.8% women), of which 69.7%, 13.8%, 11.8% and 4.7% identified as non-Hispanic White, Hispanic, non-Hispanic Black, and non-Hispanic Asian, respectively. Between 1999 and 2018, Black individuals fared worse on most measures of health, with 18.7% (95% CI 17.1-20.4) and 41.1% (95% CI 38.7-43.5) reporting poor/fair health and insufficient sleep in 2018 compared with 11.1% (95% CI 10.5- 11.7) and 31.2% (95% CI 30.3-32.1) among White individuals. Notably, between 1999-2018, there was no significant decrease in the gap in poor/fair health status between White individuals and Black (-0.07% per year, 95% CI -0.16-0.01) and Hispanic (-0.03% per year, 95% CI -0.07- 0.02) individuals, and an increase in the gap in sleep between White individuals and Black (+0.2% per year, 95% CI 0.1-0.4) and Hispanic (+0.3% per year, 95% CI 0.1-0.4) individuals. Additionally, there was no significant decrease in adults reporting poor/fair health status and an increase in adults reporting severe psychological distress, functional limitation, and insufficient sleep. CONCLUSIONS AND RELEVANCE: The marked racial/ethnic disparities in health of US adults have not improved over the last 20 years. Moreover, the self-perceived health of US adults worsened during this time. These findings highlight the need to re-examine the initiatives seeking to promote health equity and improve health.

Racial and Ethnic Disparities in Access to Health Care Among Adults in the United States: A 20-Year National Health Interview Survey Analysis, 1999-2018.

IMPORTANCE: Racial and ethnic disparities plague the US health care system despite efforts to eliminate them. To understand what has been achieved amid these efforts, a comprehensive study from the population perspective is needed. OBJECTIVES: To determine trends in rates and racial/ethnic disparities of key access to care measures among adults in the US in the last two decades. DESIGN: Cross-sectional. SETTING: Data from the National Health Interview Survey, 1999-2018. PARTICIPANTS: Individuals >18 years old. EXPOSURE: Race and ethnicity: non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, Hispanic. MAIN OUTCOME AND MEASURES: Rates of lack of insurance coverage, lack of a usual source of care, and foregone/delayed medical care due to cost. We also estimated the gap between non-Hispanic White and the other subgroups for these outcomes. RESULTS: We included 596,355 adults, of which 69.7% identified as White, 11.8% as Black, 4.7% as Asian, and 13.8% as Hispanic. The proportion uninsured and the rates of lacking a usual source of care remained stable across all 4 race/ethnicity subgroups up to 2009, while rates of foregone/delayed medical care due to cost increased. Between 2010 and 2015, the percentage of uninsured diminished for all, with the steepest reduction among Hispanics (-2.1% per year). In the same period, rates of no usual source of care declined only among Hispanics (-1.2% per year) while rates of foregone/delayed medical care due to cost decreased for all. No substantial changes were observed from 2016-2018 in any outcome across subgroups. Compared with 1999, in 2018 the rates of foregone/delayed medical care due to cost were higher for all (+3.1% among Whites, +3.1% among Blacks, +0.5% among Asians, and +2.2% among Hispanics) without significant change in gaps; rates of no usual source of care were not significantly different among Whites or Blacks but were lower among Hispanics (-4.9%) and Asians (-6.4%). CONCLUSIONS AND RELEVANCE: Insurance coverage increased for all, but millions of individuals remained uninsured or underinsured with increasing rates of unmet medical needs due to cost. Those identifying as non-Hispanic Black and Hispanic continue to experience more barriers to health care services compared with non-Hispanic White individuals. KEY POINTS: Question: In the last 2 decades, what has been achieved in reducing barriers to access to care and race/ethnicity-associated disparities?Findings: Using National Health Interview Survey data from 1999-2018, we found that insurance coverage increased across all 4 major race/ethnicity groups. However, rates of unmet medical needs due to cost increased without reducing the respective racial/ethnic disparities, and little-to-no change occurred in rates of individuals who have no usual source of care.Meaning: Despite increased coverage, millions of Americans continued to experience barriers to access to care, which were disproportionately more prevalent among those identifying as Black or Hispanic.

Urgent Care Centers Delay Emergent Surgical Care Based on Patient Insurance Status in The United States.

OBJECTIVE: Patients may call urgent care centers (UCCs) with urgent surgical conditions but may not be properly referred to a higher level of care. This study aims to characterize how UCCs manage Medicaid and privately insured patients who present with an emergent condition. METHODS: Using a standardized script, we called 1245 randomly selected UCCs in 50 states on 2 occasions. Investigators posed as either a Medicaid or a privately-insured patient with symptoms of an incarcerated inguinal hernia. Rates of direct emergency department (ED) referral were compared between insurance types. RESULTS: A total of 1223 (98.2%) UCCs accepted private insurance and 981 (78.8%) accepted Medicaid. At the 971 (78.0%) UCCs that accepted both insurance types, direct-to-ED referral rates for private and Medicaid patients were 27.9% and 33.8%, respectively. Medicaid patients were significantly more likely than private patients to be referred to the ED [odds ratio (OR) 1.32, 95% confidence interval (CI) 1.09-1.60]. Private patients who were triaged by a clinician compared to nonclinician staff were over 6 times more likely to be referred to the ED (OR 6.46, 95% CI 4.63-9.01). Medicaid patients were nearly 9 times more likely to have an ED referral when triaged by a clinician (OR 8.72, 95% CI 6.19-12.29). CONCLUSIONS: Only one-third of UCCs across the United States referred an apparent emergent surgical case to the ED, potentially delaying care. Medicaid patients were more likely to be referred directly to the ED versus privately insured patients. All patients triaged by clinicians were significantly more likely to be referred to the ED; however, the disparity between private and Medicaid patients remained.