Reductions in Race and Ethnic Disparities in Hospital Readmissions Following Total Joint Arthroplasty from 2005 to 2015

The Utility of the Area Deprivation Index in Assessing Complications After Total Joint Arthroplasty

Background

Vulnerable populations, including patients from a lower socioeconomic status, are at an increased risk for infection, revision surgery, mortality, and complications after total joint arthroplasty (TJA). An effective metric to quantify and compare these populations has not yet been established in the literature. The Area Deprivation Index (ADI) provides a composite area-based indicator of socioeconomic disadvantage consisting of 17 U.S. Census indicators, based on education, employment, housing quality, and poverty. We assessed patient risk factor profiles and performed multivariable regressions of total complications at 30 days, 90 days, and 1 year.

Methods

A prospectively collected database of 3,024 patients who underwent primary elective total knee arthroplasty or total hip arthroplasty performed by 3 fellowship-trained orthopaedic surgeons from January 1, 2015, through December 31, 2021, at a tertiary health-care center was analyzed. Patients were divided into quintiles (ADI ≤20 [n = 555], ADI 21 to 40 [n = 1,001], ADI 41 to 60 [n = 694], ADI 61 to 80 [n = 396], and ADI 81 to 100 [n = 378]) and into groups based on the national median ADI, ≤47 (n = 1,896) and >47 (n = 1,128).

Results

Higher quintiles had significantly more females (p = 0.002) and higher incidences of diabetes (p < 0.001), congestive heart failure (p < 0.001), chronic obstructive pulmonary disease (p < 0.001), hypertension (p < 0.001), substance abuse (p < 0.001), and tobacco use (p < 0.001). When accounting for several confounding variables, all ADI quintiles were not associated with increased total complications at 30 days, but age (p = 0.023), female sex (p = 0.019), congestive heart failure (p = 0.032), chronic obstructive pulmonary disease (p = 0.001), hypertension (p = 0.003), and chronic kidney disease (p = 0.010) were associated. At 90 days, ADI > 47 (p = 0.040), female sex (p = 0.035), and congestive heart failure (p = 0.001) were associated with increased total complications.

Conclusions

Balancing intrinsic factors, such as patient demographic characteristics, and extrinsic factors, such as social determinants of health, may minimize postoperative complications following TJA. The ADI is one tool that can account for several extrinsic factors, and can thus serve as a starting point to improving patient education and management in the setting of TJA.

Level of Evidence

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Racial Disparities in 30-day Readmission After Orthopaedic Surgery: A 5-year National Surgical Quality Improvement Program Database Analysis

BACKGROUND

Readmission rate after surgery is an important outcome measure in revealing disparities. This study aimed to examine how 30-day readmission rates and causes of readmission differ by race and specific injury areas within orthopaedic surgery.

METHODS

The American College of Surgeon-National Surgical Quality Improvement Program database was queried for orthopaedic procedures from 2015 to 2019. Patients were stratified by self-reported race. Procedures were stratified using current procedural terminology codes corresponding to given injury areas. Multiple logistic regression was done to evaluate associations between race and all-cause readmission risk, and risk of readmission due to specific causes.

RESULTS

Of 780,043 orthopaedic patients, the overall 30-day readmission rate was 4.18%. Black and Asian patients were at greater (OR = 1.18, P < 0.01) and lesser (OR = 0.76, P < 0.01) risk for readmission than White patients, respectively. Black patients were more likely to be readmitted for deep surgical site infection (OR = 1.25, P = 0.03), PE (OR = 1.64, P < 0.01), or wound disruption (OR = 1.45, P < 0.01). For all races, all-cause readmission was highest after spine procedures and lowest after hand/wrist procedures.

CONCLUSIONS

Black patients were at greater risk for overall, spine, shoulder/elbow, hand/wrist, and hip/knee all-cause readmission. Asian patients were at lower risk for overall, spine, hand/wrist, and hip/knee surgery all-cause readmission. Our findings can identify complications that should be more carefully monitored in certain patient populations.

Utilization of patient-reported outcomes in joint replacement care design

Analysis finds health disparities among the elective surgery population.

Is There an Implicit Racial Bias in the Case Order of Elective Total Joint Arthroplasty?

INTRODUCTION

Identifying ways to improve equitable access to healthcare is of the utmost important. In this study, we analyzed whether patient race was negatively associated with surgical start times for total joint arthroplasties (TJA).

METHODS

The surgical case order and start times of all primary TJAs performed at a large academic medical center between May 2014 and May 2018 were retrospectively reviewed. Patients were included if > 21, had a documented self-reported race, and were operated on by an arthroplasty fellowship-trained surgeon. Operations were categorized as first-start, early (7:00 AM-11:00 AM), mid-day (11:00 AM-3:00 PM), or late (after 3:00 PM). Multivariable logistic regression (MLR) was performed, and odds ratios (OR) were calculated.

RESULTS

This study identified 1663 TJAs-871 total knee (TKA) and 792 total hip arthroplasties (THA) who met inclusion criteria. Overall, there was no association between race and surgical start time. Upon sub-analysis by surgical type, this held true for TKA patients, but self-identifying Hispanic and non-Hispanic Black patients undergoing THA were more likely to have later surgical start times (ORs: 2.08 and 1.88; p < 0.05).

DISCUSSION

Although there was no association between race and overall TJA surgical start times, patients with marginalized racial and ethnic identities were more likely to undergo elective THA later in the surgical day. Surgeons should be aware of potential implicit bias when determining case order to potentially prevent adverse outcomes due to staff fatigue or lack of proper resources later in the day.

Effect of the Nurse Work Environment on Older Hispanic Surgical Patient Readmissions

BACKGROUND

Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care.

OBJECTIVES

The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients.

METHODS

Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days).

RESULTS

In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts.

DISCUSSION

System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study's findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.

Racial Disparities in Periprosthetic Joint Infections after Primary Total Joint Arthroplasty: A Retrospective Study

In the United States, racial disparities have been observed in complications following total joint arthroplasty (TJA), including readmissions and mortality. It is unclear whether such disparities also exist for periprosthetic joint infection (PJI). The clinical data registry of a large New England hospital system was used to identify patients who underwent TJA between January 2018 and December 2021. The comorbidities were evaluated using the Elixhauser Comorbidity Index (ECI). We used Poisson regression to assess the relationship between PJI and race by estimating cumulative incidence ratios (cIRs) and 95% confidence intervals (CIs). We adjusted for age and sex and examined whether ECI was a mediator using structural equation modeling. The final analytic dataset included 10,018 TJAs in 9681 individuals [mean age (SD) 69 (10)]. The majority (96.5%) of the TJAs were performed in non-Hispanic (NH) White individuals. The incidence of PJI was higher among NH Black individuals (3.1%) compared with NH White individuals (1.6%) [adjusted cIR = 2.12, 95%CI = 1.16-3.89; p = 0.015]. Comorbidities significantly mediated the association between race and PJI, accounting for 26% of the total effect of race on PJI incidence. Interventions that increase access to high-quality treatments for comorbidities before and after TJA may reduce racial disparities in PJI.

Operative management of rotator cuff tears: identifying disparities in access on a national level

BACKGROUND

The purpose of this study was to identify nationwide disparities in the rates of operative management of rotator cuff tears based on race, ethnicity, insurance type, and socioeconomic status.

METHODS

Patients diagnosed with a full or partial rotator cuff tear from 2006 to 2014 were identified in the Healthcare Cost and Utilization Project's National Inpatient Sample database using International Classification of Diseases, Ninth Revision diagnosis codes. Bivariate analysis using chi-square tests and adjusted, multivariable logistic regression models were used to evaluate differences in the rates of operative vs. nonoperative management for rotator cuff tears.

RESULTS

This study included 46,167 patients. When compared with white patients, adjusted analysis showed that minority race and ethnicity were associated with lower rates of operative management for Black (adjusted odds ratio [AOR]: 0.31, 95% confidence interval [CI]: 0.29-0.33; P < .001), Hispanic (AOR: 0.49, 95% CI: 0.45-0.52; P < .001), Asian or Pacific Islander (AOR: 0.72, 95% CI: 0.61-0.84; P < .001), and Native American patients (AOR: 0.65, 95% CI: 0.50-0.86; P = .002). In comparison to privately insured patients, our analysis also found that self-payers (AOR: 0.08, 95% CI: 0.07-0.10; P < .001), Medicare beneficiaries (AOR: 0.76, 95% CI: 0.72-0.81; P < .001), and Medicaid beneficiaries (AOR: 0.33, 95% CI: 0.30-0.36; P < .001) had lower odds of receiving surgical intervention. Additionally, relative to those in the bottom income quartile, patients in all other quartiles experienced nominally higher rates of operative repair; these differences were statistically significant for the second quartile (AOR: 1.09, 95% CI: 1.03-1.16; P = .004).

CONCLUSION

There are significant nationwide disparities in the likelihood of receiving operative management for rotator cuff tear patients of differing race/ethnicity, payer status, and socioeconomic status. Further investigation is needed to fully understand and address causes of these discrepancies to optimize care pathways.

Periprosthetic Joint Infection: Current Clinical Challenges

Over the last several decades, periprosthetic joint infection has been increasing in incidence and is occurring in more complex patients. While there have been advances in both surgical and medical treatment strategies, there remain important gaps in our understanding. Here, we share our current approaches to the diagnosis and management of periprosthetic joint infection, focusing on frequent clinical challenges and collaborative interdisciplinary care.

Machine Learning on Medicare Claims Poorly Predicts the Individual Risk of 30-Day Unplanned Readmission After Total Joint Arthroplasty, Yet Uncovers Interesting Population-level Associations With Annual Procedure Volumes

BACKGROUND

Unplanned hospital readmissions after total joint arthroplasty (TJA) represent potentially serious adverse events and remain a critical measure of hospital quality. Predicting the risk of readmission after TJA may provide patients and clinicians with valuable information for preoperative decision-making.

QUESTIONS/PURPOSES

(1) Can nonlinear machine-learning models integrating preoperatively available patient, surgeon, hospital, and county-level information predict 30-day unplanned hospital readmissions in a large cohort of nationwide Medicare beneficiaries undergoing TJA? (2) Which predictors are the most important in predicting 30-day unplanned hospital readmissions? (3) What specific information regarding population-level associations can we obtain from interpreting partial dependency plots (plots describing, given our modeling choice, the potentially nonlinear shape of associations between predictors and readmissions) of the most important predictors of 30-day readmission?

METHODS

National Medicare claims data (chosen because this database represents a large proportion of patients undergoing TJA annually) were analyzed for patients undergoing inpatient TJA between October 2016 and September 2018. A total of 679,041 TJAs (239,391 THAs [61.3% women, 91.9% White, 52.6% between 70 and 79 years old] and 439,650 TKAs [63.3% women, 90% White, 55.2% between 70 and 79 years old]) were included. Model features included demographics, county-level social determinants of health, prior-year (365-day) hospital and surgeon TJA procedure volumes, and clinical classification software-refined diagnosis and procedure categories summarizing each patient's Medicare claims 365 days before TJA. Machine-learning models, namely generalized additive models with pairwise interactions (prediction models consisting of both univariate predictions and pairwise interaction terms that allow for nonlinear effects), were trained and evaluated for predictive performance using area under the receiver operating characteristic (AUROC; 1.0 = perfect discrimination, 0.5 = no better than random chance) and precision-recall curves (AUPRC; equivalent to the average positive predictive value, which does not give credit for guessing "no readmission" when this is true most of the time, interpretable relative to the base rate of readmissions) on two holdout samples. All admissions (except the last 2 months' worth) were collected and split randomly 80%/20%. The training cohort was formed with the random 80% sample, which was downsampled (so it included all readmissions and a random, equal number of nonreadmissions). The random 20% sample served as the first test cohort ("random holdout"). The last 2 months of admissions (originally held aside) served as the second test cohort ("2-month holdout"). Finally, feature importances (the degree to which each variable contributed to the predictions) and partial dependency plots were investigated to answer the second and third research questions.

RESULTS

For the random holdout sample, model performance values in terms of AUROC and AUPRC were 0.65 and 0.087, respectively, for THA and 0.66 and 0.077, respectively, for TKA. For the 2-month holdout sample, these numbers were 0.66 and 0.087 and 0.65 and 0.075. Thus, our nonlinear models incorporating a wide variety of preoperative features from Medicare claims data could not well-predict the individual likelihood of readmissions (that is, the models performed poorly and are not appropriate for clinical use). The most predictive features (in terms of mean absolute scores) and their partial dependency graphs still confer information about population-level associations with increased risk of readmission, namely with older patient age, low prior 365-day surgeon and hospital TJA procedure volumes, being a man, patient history of cardiac diagnoses and lack of oncologic diagnoses, and higher county-level rates of hospitalizations for ambulatory-care sensitive conditions. Further inspection of partial dependency plots revealed nonlinear population-level associations specifically for surgeon and hospital procedure volumes. The readmission risk for THA and TKA decreased as surgeons performed more procedures in the prior 365 days, up to approximately 75 TJAs (odds ratio [OR] = 1.2 for TKA and 1.3 for THA), but no further risk reduction was observed for higher annual surgeon procedure volumes. For THA, the readmission risk decreased as hospitals performed more procedures, up to approximately 600 TJAs (OR = 1.2), but no further risk reduction was observed for higher annual hospital procedure volumes.

CONCLUSION

A large dataset of Medicare claims and machine learning were inadequate to provide a clinically useful individual prediction model for 30-day unplanned readmissions after TKA or THA, suggesting that other factors that are not routinely collected in claims databases are needed for predicting readmissions. Nonlinear population-level associations between low surgeon and hospital procedure volumes and increased readmission risk were identified, including specific volume thresholds above which the readmission risk no longer decreases, which may still be indirectly clinically useful in guiding policy as well as patient decision-making when selecting a hospital or surgeon for treatment.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Do Community-level Disadvantages Account for Racial Disparities in the Safety of Spine Surgery? A Large Database Study Based on Medicare Claims

BACKGROUND

Racial health disparities across orthopaedic surgery subspecialties, including spine surgery, are well established. However, the underlying causes of these disparities, particularly relating to social determinants of health, are not fully understood.

QUESTIONS/PURPOSES

(1) Is there a racial difference in 90-day mortality, readmission, and complication rates ("safety outcomes") among Medicare beneficiaries after spine surgery? (2) To what degree does the Centers for Disease Control and Prevention Social Vulnerability Index (SVI), a community-level marker of social determinants of health, account for racial disparities in safety outcomes?

METHODS

To examine racial differences in 90-day mortality, readmission, and complications after spine surgery, we retrospectively identified all 419,533 Medicare beneficiaries aged 65 or older who underwent inpatient spine surgery from 2015 to 2019; we excluded 181,588 patients with endstage renal disease or Social Security disability insurance entitlements, who were on Medicare HMO, or who had missing SVI data. Because of the nearly universal coverage of those age 65 or older, Medicare data offer a large cohort that is broadly generalizable, provides improved precision for relatively rare safety outcomes, and is free of confounding from differential insurance access across races. The Master Beneficiary Summary File includes enrollees' self-reported race based on a restrictive list of mutually exclusive options. Even though this does not fully capture the entirety of racial diversity, it is self-reported by patients. Identification of spine surgery was based on five Diagnosis Related Groups labeled "cervical fusion," "fusion, except cervical," "anterior-posterior combined fusion," "complex fusion," and "back or neck, except fusion." Although heterogeneous, these cohorts do not reflect inherently different biology that would lead us to expect differences in safety outcomes by race. We report specific types of complications that did and did not involve readmission. Although complications vary in severity, we report them as composite measures while being cognizant of the inherent limitations of making inferences based on aggregate measures. The SVI was chosen as the mediating variable because it aggregates important social determinants of health and has been shown to be a marker of high risk of poor public health response to external stressors. Patients were categorized into three groups based on a ranking of the four SVI themes: socioeconomic status, household composition, minority status and language, and housing and transportation. We report the "average race effects" among Black patients compared with White patients using nearest-neighbor Mahalanobis matching by age, gender, comorbidities, and spine surgery type. Mahalanobis matching provided the best balance among propensity-type matching methods. Before matching, Black patients in Medicare undergoing spine surgery were disproportionately younger with more comorbidities and were less likely to undergo cervical fusion. To estimate the contribution of the SVI on racial disparities in safety outcomes, we report the average race effect between models with and without the addition of the four SVI themes.

RESULTS

After matching on age, gender, comorbidities, and spine surgery type, Black patients were on average more likely than White patients to be readmitted (difference of 1.5% [95% CI 0.9% to 2.1%]; p < 0.001) and have complications with (difference of 1.2% [95% CI 0.5% to 1.9%]; p = 0.002) or without readmission (difference of 3.6% [95% CI 2.9% to 4.3%]; p < 0.001). Adding the SVI to the model attenuated these differences, explaining 17% to 49% of the racial differences in safety, depending on the outcome. An observed higher rate of 90-day mortality among Black patients was explained entirely by matching using non-SVI patient demographics (difference of 0.00% [95% CI -0.3% to 0.3%]; p = 0.99). However, even after adjusting for the SVI, Black patients had more readmissions and complications.

CONCLUSION

Social disadvantage explains up to nearly 50% of the disparities in safety outcomes between Black and White Medicare patients after spine surgery. This argument highlights an important contribution of socioeconomic circumstances and societal barriers to achieving equal outcomes. But even after accounting for the SVI, there remained persistently unequal safety outcomes among Black patients compared with White patients, suggesting that other unmeasured factors contribute to the disparities. This is consistent with evidence documenting Black patients' disadvantages within a system of seemingly equal access and resources. Research on racial health disparities in orthopaedics should account for the SVI to avoid suggesting that race causes any observed differences in complications among patients when other factors related to social deprivation are more likely to be determinative. Focused social policies aiming to rectify structural disadvantages faced by disadvantaged communities may lead to a meaningful reduction in racial health disparities.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Racial and Ethnic Disparities in Short-Stay Total Knee Arthroplasty

BACKGROUND

The purpose of this study was to understand racial and ethnic disparities in hospital-based, Medicare-defined outpatient total knee arthroplasty (TKA). We aimed to determine the following: 1) whether there are differences in preoperative characteristics or postoperative outcomes in outpatient TKA between racial/ethnic groups and 2) trends in outpatient TKA volume, based on race/ethnicity.

METHODS

This was a retrospective cohort study of a large national database. Outpatient TKAs performed between 2012 and 2018 were identified. Patient demographics, comorbidities, and 30-day postoperative outcomes were compared between White, Black, Asian, and Hispanic patients.

RESULTS

Of 54,183 outpatient patients, 85.6% were White, 7.4% Black, 2.6% Asian, and 4.1% Hispanic. Black patients had the highest body mass index, and there were higher rates of diabetes among all minority groups (P < .001). All minority groups were more likely to be discharged to a rehabilitation or a skilled care facility compared to White patients (P < .001). Annual percentage increases in outpatient TKA were most pronounced for Asians and Hispanics and least pronounced among Blacks, when compared to White patients.

CONCLUSION

The outcomes of outpatient TKA are impacted by risk factors that reflect underlying disparities in healthcare. As joint arthroplasties have come off the inpatient-only list and procedures move to ambulatory settings, these disparities will likely magnify and impact outcomes, costs, and access points. Extensive preoperative optimization and interventions that target medical and social factors may help to reduce these disparities in TKA and increase access among minority patients.

LEVEL OF EVIDENCE

III, retrospective cohort study.

Racial and Ethnic Disparities in Total Joint Arthroplasty Care: A Contemporary Systematic Review and Meta-Analysis

BACKGROUND

Total joint arthroplasty (TJA) is one of the most common surgical procedures in the United States; however, racial and ethnic disparities in utilizations and outcomes have been well documented. This systematic review and meta-analysis investigated associations between race/ethnicity and several metrics in total hip arthroplasty (THA) and total knee arthroplasty (TKA).

METHODS

In August 2021, PubMed, Scopus, CINAHL, and SPORTDiscus databases were queried. Sixty three studies investigating racial/ethnic disparities in TJA utilizations, complications, mortalities, lengths of stay (LOS), discharge dispositions, readmissions, and reoperations were included. Study quality was assessed using a modified Newcastle-Ottawa Scale.

RESULTS

A majority of studies demonstrated disparities in TJA utilizations and outcomes. Black patients exhibited higher rates of 30-day complications (THA odds ratio [OR] 1.18, 95% confidence interval [CI] 1.08-1.29; TKA OR 1.20, 95% CI 1.10-1.31), 30-day mortality (THA OR 1.27, 95% CI 1.08-1.48), prolonged LOS (THA mean difference [MD] +0.27 days, 95% CI 0.21-0.33; TKA MD +0.30 days, 95% CI 0.20-0.40), nonhome discharges (THA OR 1.47, 95% CI 1.37-1.57; TKA OR 1.65, 95% CI 1.38-1.96), and 30-day readmissions (THA OR 1.13, 95% CI 1.08-1.19; TKA OR 1.19, 95% CI 1.16-1.21) than White patients. Rates of complications (THA 1.18, 95% CI 1.03-1.36), prolonged LOS (TKA MD +0.20 days, 95% CI 0.17-0.23), and nonhome discharges (THA OR 1.26, 95% CI 1.10-1.45; TKA OR 1.37, 95% CI 1.22-1.53) were also increased among Hispanic patients, while Asian patients experienced longer LOS (TKA MD +0.09 days, 95% CI 0.05-0.12) but fewer readmissions. Outcomes among American Indian-Alaska Native and Pacific Islander patients were infrequently reported but similarly inequitable.

CONCLUSION

Racial and ethnic disparities in TJA utilizations and outcomes are apparent, with minority patients often demonstrating lower rates of utilizations and worse postoperative outcomes than White patients. Continued research is needed to evaluate the efficacy of recent efforts dedicated to eliminating inequalities in TJA care.

LEVEL OF EVIDENCE

IV.

Racial Disparities in Outcomes of Total Joint Arthroplasty at a Single Institution: Have We Made Progress?

Background

Health disparities disproportionately affect minority groups across the United States with respect to care access, quality, and outcomes. The aim of this study is to examine existing disparities between white and African American (AA) patients regarding postoperative outcomes following total joint arthroplasty and provide insight into disparity trends over a 9-year period.

Methods

A retrospective review of 16,779 total joint arthroplasty patients at a single institution between January 2013 and December 2021 was performed. Patients were grouped by race as AA or white. Outcomes of interest included length of stay (LOS), home discharge, 30-day emergency department return, and 30-day readmission. Univariate statistics and multivariate regressions were utilized to analyze results.

Results

Significant improvements in LOS and rates of home discharge occurred for both white and AA patients at our institution over a 9-year period, while rates of 30-day emergency department returns and readmissions demonstrated a downward but non-statistically significant trend. Despite these trends, AA patients continued to experience longer lengths of stay, less likelihood of 0- or 1-day LOS, and higher risk of nonhome discharge for most years examined. However, after controlling for demographic and comorbidity differences, the differences between groups narrowed over time resulting in no significant differences in the aforementioned 3 measures by 2021.

Conclusions

Although racial disparities in outcomes are still apparent, over time, the differences in resource utilization between AA and white patients have narrowed. Initiatives aimed at creating healthier communities with increased access to care and the ultimate goal of equitable care must continue to be pursued.

Emerging Racial Disparities in Outpatient Utilization of Total Joint Arthroplasty

BACKGROUND

Racial and ethnic disparities within the field of total joint arthroplasty (TJA) have been extensively reported. To date, however, it remains unknown how these disparities have translated to the outpatient TJA (OP-TJA) setting. The purposes of this study were to compare relative OP-TJA utilization rates between White and Black patients from 2011-2019 and assess how these differences in utilization have evolved over time.

METHODS

We conducted a retrospective review from 2011-2019 using the National Surgical Quality Improvement Program (NSQIP). Differences in the relative utilization of OP (same-day discharge) versus inpatient TJA between White and Black patients were assessed and trended over time. Multivariable logistic regressions were run to adjust for baseline patient factors and comorbidities.

RESULTS

During the study period, Black patients were significantly less likely to undergo OP-TJA when compared to White patients (P < .001 for both outpatient total knee arthroplasty and outpatient total hip arthroplasty [OP-THA]). From 2011 to 2019, an emerging disparity was found in outpatient total knee arthroplasty and OP-THA utilization between White and Black patients (eg, White versus Black OP-THA: 0.4% versus 0.6% in 2011 compared with 10.2% versus 5.9% in 2019, P_trend < .001). These results held in all adjusted analyses.

CONCLUSION

In this study we found evidence of emerging and worsening racial disparities in the relative utilization of OP-TJA procedures between White and Black patients. These results highlight the need for early intervention by orthopaedic surgeons and policy makers alike to address these emerging inequalities in access to care before they become entrenched within our systems of orthopaedic care.

Racial disparities in arthroscopic rotator cuff repair: an analysis of utilization and perioperative outcomes

Background

There remains a paucity of literature addressing racial disparities in utilization and perioperative metrics in arthroscopic rotator cuff repair procedures.

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was used to evaluate patients undergoing arthroscopic rotator cuff repair from 2010 to 2019. Baseline demographics, utilization trends, and perioperative measures, including adverse events, operative time, length of hospital stay, days from operation to discharge, and readmission, were analyzed.

Results

Of 42,443 included patients, 38,090 (89.7%) were White, and 4353 (10.3%) were Black or African American. Black or African American patients had a significantly higher percentage of diabetes mellitus (23.6% vs. 15.6%), smoking (16.9% vs. 14.8%), congestive heart failure (0.3% vs. 0.1%), and hypertension (59.2% vs. 45.9%). In addition, logistic regression showed that Black or African American patients had increased odds of longer operative time (adjusted rate ratio 1.07, 95% confidence interval 1.05-1.08) and time from operation to discharge (adjusted rate ratio 1.19, 95% confidence interval 1.04-1.37). Disparities in relative utilization decreased as the proportion of Black or African American patients undergoing arthroscopic rotator cuff repair increased (7.4% in 2010 vs. 10.4% in 2019) compared with White patients (P _trend < .0001).

Conclusion

Racial disparities exist regarding baseline comorbidities and perioperative metrics in arthroscopic rotator cuff repair. Further investigation is needed to fully understand and address the causes of these inequalities to provide equitable care.

Have all races experienced reductions in complication rates following total hip arthroplasty? A NSQIP analysis between 2011 and 2019

INTRODUCTION

Despite numerous articles in the orthopedic literature evaluating racial and ethnic disparities, inequalities in total joint arthroplasty outcomes remain. While the National Surgical Quality Improvement (NSQIP) database has been previously utilized to highlight these disparities, no previous analysis has evaluated how the rate of various perioperative complications has changed over recent years when segregating by patient race. Specifically, we evaluated if all races have experienced decreases in (1) medical complications, (2) wound complications, (3) venous thromboembolism (VTE), and (4) readmission/reoperation rates following total hip arthroplasty (THA) over recent years?

METHODS

Current Procedural Terminology (CPT) code 27,130 (total hip arthroplasty) was utilized to identify all THA procedures conducted between 2011 and 2019. Patients were segregated according to race and various demographics were collected. Linear regression was utilized to evaluate changes in each complication rate between 2011 and 2019. A multivariate regression was then conducted for each complication to evaluate whether race independently was associated with each outcome.

RESULTS

Our analysis included a total of 212,091 patients undergoing primary THA. This included 182,681 (85.76%) White, 19,267 (9.04%) Black, 5928 (2.78%) Hispanic, and 4215 (1.98%) Asian patients. We found that for urinary tract infection (UTI), acute renal failure, superficial SSI, and readmission rates, White patients experienced significant reductions between 2011 and 2019. However, this was not consistent across all races. Black race was associated with a significantly increased risk of acute renal failure (OR: 2.03, 95% CI: 1.17-3.34; p = 0.008), renal insufficiency (OR: 2.33, 95% CI: 1.62-3.28; p < 0.001), deep vein thrombosis (DVT) (OR: 1.34, 95% CI: 1.07-1.66; p = 0.01), and pulmonary embolism (PE) (OR: 1.76, 95% CIL: 1.36-2.24; p < 0.001).

CONCLUSION

Our analysis highlights specific complications for which further interventions are necessary to reduce inequalities across races. These include medical optimization, increased patient education, and continued efforts at understanding how social factors may impact-related care inequalities. Future study is needed to evaluate specific interventions that can be applied at the health systems level to ensure all patients undergoing THA receive the highest quality of care regardless of race.

Language barriers and postoperative opioid prescription use after total knee arthroplasty

Background

Patients with limited English proficiency (LEP) face difficulties in access to postoperative follow-up care, including post-discharge medication refills. However, prior studies have not examined how utilization of prescription pain medications after discharge from joint replacement surgeries differs between English proficient (EP) and LEP patients.

Objective

This study explored the relationship between English language proficiency and opioid prescription refill requests after hospital discharge for total knee arthroplasty (TKA).

Methods

This was an observational cohort study of patients ≥18 years of age who underwent TKA between January 2015 and December 2019 at a single academic center. LEP status was defined as not having English as the primary language and requesting an interpreter. Primary outcome variables included opioid pain medication refill requests between 0 and 90 days from discharge. Multivariable logistic regression modeling calculated the odds ratios of requesting an opioid refill.

Results

A total of 2148 patients underwent TKA, and 9.8% had LEP. Postoperative pain levels and rates of prior opioid use did not differ between LEP and EP patients. LEP patients were less likely to request an opioid prescription refill within 30 days (35.3% vs 52.4%, p < 0.001), 60 days (48.7% vs 61.0%, p = 0.004), and 90 days (54.0% vs 62.9%, p = 0.041) after discharge. In multivariable analysis, LEP patients had an odds ratio of 0.61 of requesting an opioid refill (95% CI, 0.41–0.92, p = 0.019) within 30 days of discharge. Having Medicare insurance and longer lengths of hospitalization were correlated with lower odds of 0–30 days opioid refills, while prior opioid use and being discharged home were associated with higher odds of opioid refill requests 0–30 days after discharge for TKA.

Conclusions

Language barriers may contribute to poorer access to postoperative care, including prescription medication refills. Barriers to postoperative care may exist at multiple levels for LEP patients undergoing surgical procedures.

Racial Differences in Manipulation Under Anesthesia Rates Following Total Knee Arthroplasty

BACKGROUND

Despite the extensive literature on racial disparities in care and outcomes after total knee arthroplasty (TKA), data on manipulation under anesthesia (MUA) is lacking. We aimed to determine (1) the relationship between race and rate of (and time to) MUA after TKA, and (2) annual trends in racial differences in MUA from 2013 to 2018.

METHODS

This retrospective cohort study (using 2013-2018 Medicare Limited Data Set claims data) included 836,054 primary TKA patients. The primary outcome was MUA <1 year after TKA; time from TKA to MUA in days was also recorded. A mixed-effects multivariable model measured the association between race (White, Black, Other) and odds of MUA. Odds ratios (OR) and 95% confidence intervals (CI) were reported. A Cochran Armitage Trend test was conducted to assess MUA trends over time, stratified by race.

RESULTS

MUA after TKA occurred in 1.7%, 3.2% and 2.1% of White, Black, and Other race categories, respectively (SMD = 0.07). After adjustment for covariates, (Black vs White) patients had increased odds of requiring an MUA after TKA: odds ratio (OR) 1.97, 95% confidence intervals (CI) 1.86-2.10, P < .0001. Moreover, White (compared to Black) patients had significantly shorter time to MUA after TKA: 60 days (interquartile range [IQR] 46-88) versus 64 days (interquartile range [IQR] 47-96); P < .0001. These disparities persisted from 2013 through 2018.

CONCLUSION

Continued racial differences exist for rates and timing of MUA following TKA signifying the continued need for efforts aimed toward understanding and eliminating inequalities that exist in total joint arthroplasty (TJA) care.

Racial and Ethnic Disparities in the Imaging Workup and Treatment of Knee and Hip Osteoarthritis

BACKGROUND

There is limited evidence on sociodemographic differences in osteoarthritis management, particularly in non-African American (AA) minorities. We sought to identify differences in imaging modalities, administration of intra-articular injections, and total joint arthroplasty (TJA) between racial/ethnic groups.

METHODS

We retrospectively reviewed patients presenting to outpatient clinics with a diagnosis of hip or knee osteoarthritis from January 2013 to March 2020 at a tertiary center. Univariate analyses compared differences between groups. Multivariate logistic regression analyses determined sociodemographic predictors of imaging workup and treatment.

RESULTS

In total, 105,873 patients were included. There were 74,769 (70.6%) Caucasian, 27,117 (25.6%) AA, 1,878 (1.8%) Hispanic, 1,479 (1.4%) Asian, and 630 (0.6%) Native American patients. Multivariate analyses demonstrated that AAs had decreased odds of undergoing a knee magnetic resonance imaging (odds ratio [OR] 0.77, P < .001) or injection (OR 0.94, P = .006). Asian patients had lower odds of receiving any hip X-ray (OR 0.72, P = .047) or knee injection (OR 0.83, P = .017). AA (total knee arthroplasty [TKA]: OR 0.51, P < .001; total hip arthroplasty [THA]: OR 0.57, P < .001), Hispanic (TKA: OR 0.69, P = .003; THA: OR 0.60, P = .006), and Asian (TKA: OR 0.73, P = .010; THA: OR 0.56, P = .010) patients had lower odds of undergoing TJA compared to Caucasians. We found that higher income quartiles had greater odds of receiving a magnetic resonance imaging and TJA, males had lower odds of receiving injections and greater odds of undergoing TJA, and Medicaid and self-pay patients had lower odds of undergoing TJA (P < .05).

CONCLUSION

After adjusting for sociodemographic factors, we found disparities in the imaging, administration of injections, and/or arthroplasty for AA, Asian, and Hispanic patients. Insurance status, income, and gender were also associated with imaging and treatments performed in managing hip and knee osteoarthritis.

Incidence, patterns and risk factors for readmission following knee arthroplasty in China: A national retrospective cohort study

BACKGROUND

Limited data exist on readmission following knee arthroplasty (KA) in countries without well-established referral or extended care systems. This study aimed to investigate the incidence, patterns and risk factors for readmission following KA in China.

MATERIAL AND METHODS

In this national retrospective cohort study, we reviewed 167,265 primary KAs registered in the Hospital Quality Monitoring System in China between 2013 and 2018. Readmissions after KA within 30 and 90 days were evaluated. The causes for readmission were identified and classified as surgical or medical. The potential risk factors of readmission were assessed using multivariable logistic regression.

RESULTS

4017 (2.4%) patients readmitted within 30 days, and 7258 (4.3%) patients readmitted within 90 days. The readmission rate exhibited a downward trend during the period from 2013 to 2018 (2.7%-2.3% for 30-day readmission; 4.5%-4.2% for 90-day readmission). Surgical causes contributed to 54.3% readmissions within 30 days and 47.3% readmissions within 90 days. Wound infection/complication, joint pain, and thromboembolism were the most frequently reported reasons for surgical readmission. Older age, male sex, single marital status, non-osteoarthritis indication, a high comorbidity index, non-provincial hospitals, low hospital volume, and longer length of stay were associated with an increased risk of readmission. The geographic regions of hospitals contributed greatly to the variety of readmissions.

CONCLUSION

The readmission rate following KA decreased from 2013 to 2018. Surgery-related causes, especially wound infection/complication and pain, accounted for a large proportion. Both patient and hospital factors were associated with readmissions. Improved primary care and targeted measures are needed to help further prevent readmissions and optimize resource utilization.

Race, Utilization, and Outcomes in Total Hip and Knee Arthroplasty: A Systematic Review on Health-Care Disparities

BACKGROUND

Previous studies have shown that utilization and outcomes of total joint arthroplasty (TJA) are not equivalent across different patient cohorts. This systematic review was designed to evaluate the currently available evidence regarding the effect that patient race has, if any, on utilization and outcomes of lower-extremity arthroplasty in the United States.

METHODS

A literature search of the MEDLINE database was performed using keywords such as "disparities," "arthroplasty," "race," "joint replacement," "hip," "knee," "inequities," "inequalities," "health," and "outcomes" in all possible combinations. All English-language studies with a level of evidence of I through IV published over the last 20 years were considered for inclusion. Quantitative and qualitative analyses were performed on the collected data.

RESULTS

A total of 82 articles were included. There was a significantly lower utilization rate of lower-extremity TJA among Black, Hispanic, and Asian patients compared with White patients (p < 0.05). Black and Hispanic patients had lower expectations regarding postoperative outcomes and their ability to participate in various activities after surgery, and they were less likely than White patients to be familiar with the arthroplasty procedure prior to presentation to the orthopaedic surgeon (p < 0.05). Black patients had increased risks of major complications, readmissions, revisions, and discharge to institutional care after TJA compared with White patients (p < 0.05). Hispanic patients had increased risks of complications (p < 0.05) and readmissions (p < 0.0001) after TJA compared with White patients. Black and Hispanic patients reached arthroplasty with poorer preoperative functional status, and all minority patients were more likely to undergo TJA at low-quality, low-volume hospitals compared with White patients (p < 0.05).

CONCLUSIONS

This systematic review shows that lower-extremity arthroplasty utilization differs by racial/ethnic group, and that some of these differences may be partly explained by patient expectations, preferences, and cultural differences. This study also shows that outcomes after lower-extremity arthroplasty differ vastly by racial/ethnic group, and that some of these differences may be driven by differences in preoperative functional status and unequal access to care.

LEVEL OF EVIDENCE

Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Time to Reflect and Take Action on Health Disparities and Health Inequities

The United States healthcare system underperforms in healthcare access, quality, and cost resulting in some of the poorest health outcomes among comparable countries, despite spending more of its gross national product on healthcare than any other country in the world. Within the United States, there are significant healthcare disparities based on race, ethnicity, socioeconomic status, education level, sexual orientation, gender identity, and geographic location. COVID-19 has illuminated the racial disparities in health outcomes. This article provides an overview of some of the main concepts related to health disparities generally, and in orthopaedics specifically. It provides an introduction to health equity terminology, issues of bias and equity, and potential interventions to achieve equity and social justice by addressing commonly asked questions and then introduces the reader to persistent orthopaedic health disparities specific to total hip and total knee arthroplasty.

Racial and Ethnic Disparities in Hip Fracture Surgery Care in the United States From 2006 to 2015: A Nationwide Trends Study

BACKGROUND

Racial and ethnic disparities in the surgical treatment of hip fractures have been previously reported, demonstrating delayed time to surgery and worse perioperative outcomes for minority patients. However, data are lacking on how these disparities have trended over time and whether national efforts have succeeded in reducing them. The aim of this study was to investigate temporal trends in racial and ethnic disparities in perioperative metrics for patients undergoing hip fracture surgery in the United States from 2006 to 2015.

METHODS

The National Inpatient Sample was queried for White, Black, Hispanic, and Asian patients who underwent hip fracture surgery between 2006 and 2015. Perioperative metrics, including delayed time to surgery (≥2 calendar days from admission to surgical intervention), length of stay (LOS), total inpatient complications, and mortality, were trended over time. Changes in racial and ethnic disparities were assessed using linear and logistic regression models.

RESULTS

During the study period, there were persistent disparities in delayed time to surgery for White versus Black, Hispanic, and Asian patients (eg, White versus Black: 30.1% versus 39.7% in 2006 and 22% versus 28.8% in 2015, Ptrend> 0.05 for all). Although disparities in total LOS remained consistent for White versus Black patients (Ptrend= 0.97), these disparities improved for White versus Hispanic and Asian patients (eg, White versus Hispanic: 4.8 days versus 5.3 in 2006 and 4.1 days versus 4.4 in 2015, Ptrend < 0.05 for both).

DISCUSSION

Racial and ethnic disparities were persistent in time to surgery and discharge disposition for hip fracture surgery between White and minority patients from 2006 to 2015 in the United States. These disparities particularly affected Black patients. Although there were encouraging signs of improving disparities in the LOS, these findings highlight the need for renewed orthopaedic initiatives and healthcare reform policies aimed at reducing perioperative disparities in orthopaedic trauma care.

Racial Disparities in Elective Total Joint Arthroplasty for Osteoarthritis

Total joint arthroplasty (TJA) is an effective elective surgical procedure for knee and hip osteoarthritis (OA), yet racial disparities in the use of and outcomes from TJA have been recognized. Racial minority individuals are less willing to undergo TJA, demonstrate worse surgical and functional outcomes, and are more likely to undergo surgery at a low‐procedure‐volume center. In this systematic review, we summarize evidence to date on racial disparities in TJA and discuss potential factors that may underlie this gap in care for patients with OA.

What Factors Lead to Racial Disparities in Outcomes After Total Knee Arthroplasty?

Total knee arthroplasty (TKA) is one of the most commonly performed, major elective surgeries in the USA. African American TKA patients on average experience worse clinical outcomes than whites, including lower improvements in patient-reported outcomes and higher rates of complications, hospital readmissions, and reoperations. The mechanisms leading to these racial health disparities are unclear, but likely involve patient, provider, healthcare system, and societal factors. Lower physical and mental health at baseline, lower social support, provider bias, lower rates of health insurance coverage, higher utilization of lower quality hospitals, and systemic racism may contribute to the inferior outcomes that African Americans experience. Limited evidence suggests that improving the quality of surgical care can offset these factors and lead to a reduction in outcome disparities.

Racial Disparities in the Utilization of Shoulder Arthroplasty in the United States

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.

Reporting and Analyzing Demographics in the Journal of Arthroplasty: Are We Making Progress?

BACKGROUND

Demographic factors, including age, sex, body mass index (BMI), race, and ethnicity have great effects on the outcomes of patients undergoing total joint arthroplasty. A portion of this data is included in nearly every study, but the completeness with which it is reported is variable. The purpose of this study is to investigate the frequency at which demographic information is reported and analyzed through formal statistical methods in randomized controlled trials (RCTs) published in the Journal of Arthroplasty (JOA).

METHODS

A systematic review was conducted of RCTs published in JOA between 2015 and 2019. For each study, we determined if age, sex, weight, height, BMI, race, and ethnicity were reported and/or analyzed. The overall frequency was assessed, along with the rates of reporting by individual year. Studies were evaluated using Cochrane risk-of-bias tool.

RESULTS

Age (96.7%), sex (96.7%), and BMI (80.4%) were reported by the majority of studies. There was very little information provided regarding race (6.2%) and ethnicity (3.8%); although both were reported at the highest frequency in 2019, the final year of articles reviewed. Sex was the most frequently analyzed variable at 11.5%. Only 1 study (0.5%) analyzed ethnicity and no studies analyzed race.

CONCLUSION

Although age, sex, and BMI are reported at a high rate, RCTs published in JOA rarely reported information on patient race and ethnicity. Demographics were infrequently included as part of statistical analysis. The importance of this information should be recognized and included in the analysis and interpretation of future studies.

Regional Implicit Bias Does Not Account for Racial Disparity in Total Joint Arthroplasty Utilization

BACKGROUND

Racial disparities surrounding the utilization of total hip and total knee arthroplasty (THA, TKA) are well documented. The Implicit Association Test (IAT) is a validated tool used to measure implicit and explicit bias. The purpose of this study is to evaluate if variations in IAT scores by geographical region in the United States (US) correspond with regional variations in THA and TKA utilization by blacks compared to whites.

METHODS

Data from the US Census and National Inpatient Sample from 2012 to 2014 were used to calculate THA and TKA utilization rates among Medicare-aged blacks and whites. Data were aggregated by US Census Bureau Division. Regional implicit bias was assessed by calculating a weighted average of IAT scores for each division.

RESULTS

Across all geographic regions and years, the surveyed population demonstrated an implicit bias favoring whites over blacks. The population adjusted ratio of white-to-black utilization of THA and TKA by geographic division varied between 0.86-1.85 and 0.87-2.01, respectively. The difference in utilization between geographic divisions reached statistical significance (P < .001). No correlation was found between the IAT scores and race-specific utilization ratios among geographic divisions.

CONCLUSION

Implicit bias as measured by regional IAT did not reflect THA and TKA utilization disparities. The racial disparity in utilization of THA and TKA significantly varied between divisions. The observed disparity was greater in divisions with a relatively higher proportion of blacks. To the authors' knowledge, this is the first study to evaluate the impact of implicit bias on utilization of THA and TKA.

Comorbidity Burden Contributing to Racial Disparities in Outpatient Versus Inpatient Total Knee Arthroplasty

INTRODUCTION

Outpatient total knee arthroplasty (TKA) is increasingly common in the setting of early-recovery protocols, value-based care, and removal from the inpatient-only list by the Centers for Medicare & Medicaid Services. Given the established racial disparities that exist in different aspects of total joint arthroplasty, we aimed to investigate whether racial and ethnic disparities exist in outpatient compared with inpatient TKA.

METHODS

This was a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program. We queried TKAs done in 2018. Demographics, inpatient (≥2 midnights) versus outpatient (≤1 midnight) status, comorbidities, and perioperative events/complications were recorded. We analyzed differences between racial/ethnic groups and predictors of inpatient versus outpatient surgery, and outcomes.

RESULTS

A total of 54,582 patients were included (83.2% Caucasian, 9.2% African American [AA], 4.5% Hispanic, 2.4% Asian, and 0.6% Native American). AA had the highest mean body mass index, American Society of Anesthesiologists score, and comorbidity burden. AA had the lowest rate of outpatient TKA (18.3%) and Asians the highest rate of outpatient TKA (31.4%, P < 0.0001). AA had the highest postoperative transfusion rate (1.8%, P < 0.0001) and highest rate of discharge to acute rehab (8.4%). Asians had the highest rate of postoperative cardiac arrest and urinary tract infection. AA had the highest rate of acute kidney injury within 30 days. Regression analyses revealed that AAs were more likely to undergo inpatient surgery (odds ratio [OR], 2.58; confidence interval [CI], 1.57-4.23; P = 0.001) and discharge to rehab/skilled nursing facility [SNF] (OR, 2.86; CI, 1.66-4.92; P = 0.001). Asian patients were more likely to undergo outpatient surgery (OR, 2.48, CI, 1.47-4.18, P = 0.001) and discharged to rehab/SNF (OR, 2.41, CI, 1.36-4.25, P = 0.001). Caucasians were more likely to undergo outpatient surgery (OR, 1.62, CI, 1.34-1.97, P = 0.001) and less likely discharged to rehab/SNF (OR, 0.73, CI, 0.60-0.88, P = 0.001). When controlling for comorbidities, race was not an independent risk factor for 30-day complications or inpatient versus outpatient surgery.

DISCUSSION

Differences in indications for outpatient TKA between races/ethnicities seem to be highly associated with comorbidity burden and preoperative baseline differences, not race alone. Appropriate patient optimization for either outpatient or inpatient TKA may reduce disparities between groups in either care setting.

Minority Race and Ethnicity is Associated With Higher Complication Rates After Revision Surgery for Failed Total Hip and Knee Joint Arthroplasty

BACKGROUND

Racial and ethnic disparities in access to hip and knee total joint arthroplasty (TJA) and postoperative outcomes have wide-reaching implications for patients and the health care system. The aim of this study is to evaluate the effect of ethnicity on clinical outcomes and complications following revision hip and knee TJA.

METHODS

A single-institution, retrospective analysis of a consecutive series of 4424 revision hip and knee TJA patients was evaluated. Student's t-test and chi-squared analysis were used to identify significant differences in patient demographics and clinical outcomes between Caucasians and various ethnic minorities, including African Americans, Hispanics, and Asians.

RESULTS

When compared with white patients, African American patients demonstrated a significantly higher BMI (P = .04), ASA score (P = .04), length of hospital stay (P = .06), and postoperative infection rates (P = .04). Hispanics demonstrated a significantly higher BMI (P = .04), when compared with white patients, alongside a significantly higher risk for postoperative infection (P < .01). African American demonstrated a significantly higher ASA score (P = .02; P = .03), when compared with Hispanics and Asians, alongside a significantly increased length of stay (P = .01) and higher risk for postoperative infection (P = .02).

CONCLUSION

The study findings demonstrate an underutilization of revision TJA by ethnic minority groups, suggesting that disparities in access to orthopedic surgery increase from primary to revision surgery despite higher failure rates of minority ethnic groups reported after primary TJA surgery. In addition, inferior postoperative outcomes were associated with African Americans and Hispanics, when compared to white patients, with African Americans demonstrating the highest risk of postoperative complications.

Is Geographic Socioeconomic Disadvantage Associated with the Rate of THA in Medicare-aged Patients?

BACKGROUND

Disparities in THA use may lead to inequitable care. Prior research has focused on disparities based on individual-level and isolated socioeconomic and demographic variables. To our knowledge, the role of composite, community-level geographic socioeconomic disadvantage has not been studied in the United States. As disparities persist, exploring the potential underlying drivers of these inequities may help in developing more targeted recommendations on how to achieve equitable THA use.

QUESTIONS/PURPOSES

(1) Is geographic socioeconomic disadvantage associated with decreased THA rates in Medicare-aged patients? (2) Do these associations persist after adjusting for differences in gender, race, ethnicity, and proximity to hospitals performing THA?

METHODS

In a study with a cross-sectional design, using population-based data from five-digit ZIP codes in Maryland, USA, from July 1, 2012 to March 31, 2019, we included all inpatient and outpatient primary THAs performed in individuals 65 years of age or older at acute-care hospitals in Maryland, as reported in the Health Services Cost Review Commission database. This database was selected because it provided the five-digit ZIP code data necessary to answer our study question. We excluded THAs performed for nonelective indications. We examined the annual rate of THA in our study population for each Maryland ZIP code, adjusted for differences across areas in distributions of gender, race, ethnicity, and distance to the nearest hospital performing THAs. Four hundred fourteen ZIP codes were included, with an overall mean ± SD THA rate of 371 ± 243 per 100,000 persons 65 years or older, a rate similar to that previously reported in individuals aged 65 to 84 in the United States. Statistical significance was assessed at α = 0.05.

RESULTS

THA rates were higher in more affluent areas, with the following mean rates per 100,000 persons 65 years or older: 422 ± 259 in the least socioeconomically disadvantaged quartile, 339 ± 223 in the second-least disadvantaged, 277 ± 179 in the second-most disadvantaged, and 214 ± 179 in the most-disadvantaged quartile (p < 0.001). After adjustment for distributions in gender, race, ethnicity, and hospital proximity, we found that geographic socioeconomic disadvantage was still associated with THA rate. Compared with the least-disadvantaged quartile, the second-least disadvantaged quartile had 63 fewer THAs per 100,000 people (95% confidence interval 12 to 114), the second-most disadvantaged quartile had 136 fewer THAs (95% CI 62 to 211), and the most-disadvantaged quartile had 183 fewer THAs (95% CI 41 to 325).

CONCLUSION

Geographic socioeconomic disadvantage may be the underlying driver of disparities in THA use. Although our study does not determine the "correct" rate of THA, our findings support increasing access to elective orthopaedic surgery in disadvantaged geographic communities, compared with prior research and efforts that have studied and intervened on the basis of isolated factors such as race and gender. Increasing access to orthopaedic surgeons in disadvantaged neighborhoods, educating physicians about when surgical referral is appropriate, and educating patients from these geographic communities about the risks and benefits of THA may improve equitable orthopaedic care across neighborhoods. Future studies should explore disparities in rates of appropriate THA and the role of density of orthopaedic surgeons in an area.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Decline in Racial Disparities for United States Hospital Admissions After Anterior Cruciate Ligament Reconstruction From 2007 to 2015

Background

Racial disparities in perioperative complications have been shown to exist for many procedures in orthopaedic surgery. Although anterior cruciate ligament reconstruction (ACLR) is commonly performed as an outpatient procedure, the rate of admission to the hospital postoperatively is not insignificant. Hispanic patients have been shown to have higher odds of admission compared with non-Hispanic patients.

Hypothesis

We hypothesized that racial disparities would decrease from 2007 to 2015, resulting in lower rates of hospital admission for Black and Hispanic patients.

Study Design

Descriptive epidemiology study.

Methods

This study represents a retrospective analysis of the National Surgical Quality Improvement Program (NSQIP) database for patients undergoing ACLR between 2007 and 2015. We performed bivariate analysis as well as binary logistic regression, with postoperative admission as the primary outcome. Previously identified risk factors for admission were used as predictors in addition to a term for the statistical interaction between year of surgery and ethnicity.

Results

A total of 7542 patients undergoing ACLR were assessed. The logistic regression model showed that Hispanic patients had higher overall odds of admission (odds ratio [OR], 3.320; P < .001) than White patients; Black patients also had higher odds compared with White patients (OR, 1.929; P = .009). However, there was a significant interaction between year of surgery and both Black ethnicity (OR, 0.907; P = .026) and Hispanic ethnicity (OR, 0.835; P = .002), indicating a significant decrease in the admission rates for these minority patients compared with White patients over time. Other risk factors for admission were the use of regional anesthesia (OR, 3.482; P < .001), bleeding disorders (OR, 5.064; P = .002), a higher body mass index (OR, 1.029; P < .001), and longer operative times (OR, 1.012; P < .001). More recent surgery was associated with lower odds of admission (OR, 0.826; P < .001).

Conclusion

Admission rates after ACLR declined from 2007 to 2015. Black and Hispanic patients were more likely to be admitted overall, but they also saw a greater decrease in the odds of admission than White patients. This represents a reduction in disparity between the 2 groups and is a reassuring improvement in racial disparity trends after a common sports procedure.

Primary Total Hip Arthroplasty in Hispanic/Latino Patients: An Updated Nationwide Analysis of Length of Stay, 30-Day Outcomes, and Risk Factors

Background

This study explored recent time trends in length of stay (LOS), 30-day outcomes, and risk factors for adverse events (AEs) pertaining to total hip arthroplasty in the Hispanic and Latino population.

Methods

A total of 4107 Hispanic and Latino patients who underwent primary total hip arthroplasty between 2011 and 2017 were identified using the American College of Surgeons National Surgical Quality Improvement Program database. Annual trends in LOS and 30-day outcomes (readmission, reoperation, complications, and mortality) were calculated using univariate mixed-effect regression analyses. Risk factors for AEs were determined using multivariate analyses.

Results

Between 2011 and 2017, there was a significant reduction in LOS >2 midnights (67.6% to 29.5%, P < .001) among Hispanic patients, which was similar to that among non-Hispanic white patients and was also accompanied with improvements in comorbidity profiles and shorter operative times. Postoperatively, the annual rates of 30-day outcomes were comparable with those of white patients (P > .05). Chronic kidney disease, the American Society of Anesthesiologists score >2, and chronic steroid use were the strongest independent predictors for AEs.

Conclusions

In the context of historically lower arthroplasty outcomes among the Hispanic and Latino population, current evidence suggests a receding tide, with annual trends showing significantly shorter LOS and comparable overall 30-day outcomes with whites. Patients with chronic kidney disease, the American Society of Anesthesiologists score >2, and chronic steroid use are at the highest risk for developing 30-day AEs.

Persistent Racial Disparities in Utilization Rates and Perioperative Metrics in Total Joint Arthroplasty in the U.S.: A Comprehensive Analysis of Trends from 2006 to 2015

BACKGROUND

Trends in racial disparities in total joint arthroplasty (TJA) care have been documented from 1991 to 2008. However, it remains unknown whether numerous national and orthopaedic-specific efforts to reduce these disparities have been successful. The purpose of this study was to investigate trends in racial disparities in TJA utilization and perioperative metrics between black and white patients in the U.S. from 2006 to 2015.

METHODS

The National Inpatient Sample (NIS) was queried to identify black and white patients who underwent primary total knee arthroplasty (TKA) or primary total hip arthroplasty (THA) between 2006 to 2015. Utilization rates, length of stay in the hospital (LOS), discharge disposition, and inpatient complications and mortality were trended over time. Linear and logistic regression analyses were performed to assess changes in disparities over time.

RESULTS

From 2006 to 2015, there were persistent white-black disparities in standardized utilization rates and LOS for both TKA and THA (p < 0.001 for all; ptrend > 0.05 for all). Moreover, there were worsening disparities in the rates of discharge to a facility (rather than home) after both TKA (white compared with black: 40.3% compared with 47.2% in 2006 and 25.7% compared with 34.2% in 2015, ptrend < 0.001) and THA (white compared with black: 42.6% compared with 41.7% in 2006 and 23.4% compared with 29.2% in 2015, ptrend < 0.001) and worsening disparities in complication rates after TKA (white compared with black: 5.1% compared 6.1% in 2006 and 3.9% compared with 6.0% in 2015, ptrend < 0.001).

CONCLUSIONS

There were persistent, and in many cases worsening, racial disparities in TJA utilization and perioperative care between black and white patients from 2006 to 2015 in the U.S. These results were despite national efforts to reduce racial disparities and highlight the need for continued focus on this issue. Although recent work has shown that elimination of racial disparities in TJA care is possible, the present study demonstrates that renewed efforts are still needed on a national level.