Disparities in Access to Revascularization: Evidence from New York

Causal fairness assessment of treatment allocation with electronic health records

OBJECTIVE

Healthcare continues to grapple with the persistent issue of treatment disparities, sparking concerns regarding the equitable allocation of treatments in clinical practice. While various fairness metrics have emerged to assess fairness in decision-making processes, a growing focus has been on causality-based fairness concepts due to their capacity to mitigate confounding effects and reason about bias. However, the application of causal fairness notions in evaluating the fairness of clinical decision-making with electronic health record (EHR) data remains an understudied domain. This study aims to address the methodological gap in assessing causal fairness of treatment allocation with electronic health records data. In addition, we investigate the impact of social determinants of health on the assessment of causal fairness of treatment allocation.

METHODS

We propose a causal fairness algorithm to assess fairness in clinical decision-making. Our algorithm accounts for the heterogeneity of patient populations and identifies potential unfairness in treatment allocation by conditioning on patients who have the same likelihood to benefit from the treatment. We apply this framework to a patient cohort with coronary artery disease derived from an EHR database to evaluate the fairness of treatment decisions.

RESULTS

Our analysis reveals notable disparities in coronary artery bypass grafting (CABG) allocation among different patient groups. Women were found to be 4.4%-7.7% less likely to receive CABG than men in two out of four treatment response strata. Similarly, Black or African American patients were 5.4%-8.7% less likely to receive CABG than others in three out of four response strata. These results were similar when social determinants of health (insurance and area deprivation index) were dropped from the algorithm. These findings highlight the presence of disparities in treatment allocation among similar patients, suggesting potential unfairness in the clinical decision-making process.

CONCLUSION

This study introduces a novel approach for assessing the fairness of treatment allocation in healthcare. By incorporating responses to treatment into fairness framework, our method explores the potential of quantifying fairness from a causal perspective using EHR data. Our research advances the methodological development of fairness assessment in healthcare and highlight the importance of causality in determining treatment fairness.

Has the Expansion of Health Insurance Coverage via the Implementation of the Affordable Care Act Influenced Inequities in Coronary Revascularization in New York City?

BACKGROUND/PURPOSE

In 2014, New York City implemented the Affordable Care Act (ACA) leading to insurance coverage gains intended to reduce inequities in healthcare services use. The paper documents inequalities in coronary revascularization procedures (percutaneous coronary intervention and coronary artery bypass grafting) usage by race/ethnicity, gender, insurance type, and income before and after the implementation of the ACA.

METHODS

We used data from the Healthcare Cost and Utilization Project to identify NYC patients hospitalized with the diagnosis of coronary artery disease (CAD) and/or congestive heart failure (CHF) in 2011-2013 (pre-ACA) and 2014-2017 (post-ACA). Next, we calculated age-adjusted rates of CAD and/or CHF hospitalization and coronary revascularization. Logistic regression models were used to identify the variables associated with receiving a coronary revascularization in each period.

RESULTS

Age-adjusted rates of CAD and/or CHF hospitalization and coronary revascularization in patients 45-64 years of age and 65 years of age and older declined in the post-ACA period. Disparities by gender, race/ethnicity, insurance type, and income in the use of coronary revascularization persist in the post-ACA period.

CONCLUSIONS

Although this health care reform law led to the narrowing of inequities in the use of coronary revascularization, disparities persist in NYC in the post-ACA period.

Changes in Controllable Coronary Artery Bypass Grafting Practice for White and Black Americans

BACKGROUND

Racial disparities in outcomes after cardiac surgery are well reported. We sought to determine whether variation by race exists in controllable practices during coronary artery bypass graft surgery (CABG). We hypothesized that racial disparities exist in CABG quality metrics, but have improved over time.

METHODS

All patients undergoing isolated CABG (2000 to 2019) in a multiple state database were stratified into three eras by race. Analysis included propensity matched White Americans and Black Americans. Primary outcomes included left internal mammary artery use, multiple arterial grafting, revascularization completeness, and guideline-directed medication prescription.

RESULTS

Of 72 248 patients undergoing CABG, Black American patients (n = 10 270, 15%) had higher rates of diabetes mellitus, hypertension, prior stroke, and myocardial infarction. After matching, 19 806 patients (n = 9903 per group) were well balanced. Left internal mammary artery use was significantly different early (era 1, Black Americans 84.7% vs White Americans 86.6%; P = .03), but equalized over time. Importantly, multiarterial grafting differed between Black Americans and White Americans over the entire study (9.1% vs 11.5%, P < .001) and within each era. Black Americans had more incomplete revascularization during the study period (14% vs 12.8%, P = .02) driven by a large disparity in era 1 (9.5% vs 7.2%, P < .001). Despite similar rates of preoperative use, Black Americans were more often discharged on a regimen of β-blockers (91.8% vs 89.6%, P < .001).

CONCLUSIONS

Coronary artery bypass graft surgery metrics of left internal mammary artery use and optimal medical therapy have improved over time and are similar despite patient race. Black Americans undergo less frequent multiarterial grafting and greater discharge β-blocker prescription. Identifying changes in controllable CABG quality practices across races supports a continued focus on standardizing such efforts.

Sex related inequalities in the management and prognosis of acute coronary syndrome in Switzerland: cross sectional study

Objectives

To assess the differences in the management and prognosis of acute coronary syndrome in men and women who were admitted to hospital for acute coronary syndrome.

Design

Cross sectional study.

Setting

Discharge data from Swiss hospitals linked at the hospital and patient levels.

Participants

224 249 adults (18 years and older) were admitted to hospital for acute coronary syndrome between 1 January 2009 and 31 December 2017 in any Swiss hospital, of which 72 947 (32.5%) were women. People who were discharged against medical advice were excluded.

Results

Women admitted to hospital with acute coronary syndrome were older than their male counterparts (mean age 74.9 years (standard deviation 12.4) v 67.0 years (13.2)). Irrespective of acute coronary syndrome type, women were less likely to undergo diagnostic procedures, such as coronary angiography (adjusted odds ratio 0.79 (95% confidence interval 0.77 to 0.82) for non-ST-segment elevation myocardial infarction v 0.87 (0.84 to 0.91) for ST-segment elevation myocardial infarction)) and ventriculography (0.84 (0.82 to 0.87) v 0.90 (0.87 to 0.91)). Women were also less likely to receive treatments, such as percutaneous coronary intervention (0.67 (0.65 to 0.69) v 0.76 (0.73 to 0.78)) and coronary artery bypass graft (0.57 (0.53 to 0.61) v 0.79 (0.72 to 0.87)). Women had a poorer prognosis than men, with a higher likelihood of healthcare related complications (1.10 (1.06 to 1.15) v 1.14 (1.09 to 1.21)) and of a longer hospital stay (1.24 (1.20 to 1.27) v 1.24 (1.20 to 1.29)). In non-adjusted models, the likelihood of death in hospital was higher among women (odds ratio 1.30 (95% confidence interval 1.24 to 1.37) for non-ST-segment elevation myocardial infarction v 1.75 (1.66 to 1.85) for ST-segment elevation myocardial infarction), but the association was reversed for ST-segment elevation myocardial infarction (adjusted odds ratio 0.87 (0.82 to 0.92)) or was non-significant for non-ST-segment elevation myocardial infarction (1.00 (0.94 to 1.06)) after adjustment for confounding variables. The main effect modifier was age: younger women were more likely to die than men of the same age and older women were less likely to die than men of the same age. For example, women who were younger than 50 years had a 38% increased likelihood of dying compared with men of the same age range (adjusted odds ratio 1.38 (1.04 to 1.83)).

Conclusions

Sex inequalities were reported in the management of heart disease in this population of patients from a high income country with good healthcare coverage. These differences affect mortality and morbidity, especially in younger women. Efforts are needed to overcome these inequalities, including educational programmes aimed at healthcare professionals.