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. 2024 Sep 19;12(9):23259671241257507.
doi: 10.1177/23259671241257507. eCollection 2024 Sep.

Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning

Affiliations

Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning

Yining Lu et al. Orthop J Sports Med. .

Abstract

Background: Arthroscopic diagnosis and treatment of femoroacetabular pathology has experienced significant growth in the last 30 years; nevertheless, reduced utilization of orthopaedic procedures has been observed among the underrepresented population.

Purpose/hypothesis: The purpose of this study was to examine racial differences in case incidence rates, outcomes, and complications in patients undergoing hip arthroscopy. It was hypothesized that racial and ethnic minority patients would undergo hip arthroscopy at a decreased rate compared with their White counterparts but that there would be no differences in clinical outcomes.

Study design: Cross-sectional study.

Methods: The State Ambulatory Surgery and Services Database and the State Emergency Department Database of New York were queried for patients undergoing hip arthroscopy between 2011 and 2017. Patients were stratified into White and racial and ethnic minority races, and intergroup comparisons were performed for utilization over time, total charges billed per encounter, 90-day emergency department (ED) visits, and revision hip arthroscopy. Temporal trends in the utilization of hip arthroscopy were identified, and racial differences in secondary outcomes were analyzed with a semiparametric method known as targeted maximum likelihood estimation (TMLE) backed by a library of machine learning algorithms.

Results: A total of 9745 patients underwent hip arthroscopy during the study period, with 1081 patients of minority race (11.1%). White patients underwent hip arthroscopy at 5.68 (95% CI, 4.98-6.48) times the incidence rate of racial and ethnic minority patients; these incidence rates grew annually at a ratio of 1.11 in White patients compared with 1.03 in racial and ethnic minority patients (P < .001). Based on the TMLE, racial and ethnic minority patients were significantly more likely to incur higher costs (P < .001) and visit the ED within 90 days (P = .049) but had negligible differences in reoperation rates at a 2-year follow-up (P = .53). Subgroup analysis identified that higher likelihood for 90-day ED admissions among racial and ethnic minority patients compared with White patients was associated with Medicare insurance (P = .002), median income in the lowest quartile (P = .012), and residence in low-income neighborhoods (P = .006).

Conclusion: Irrespective of insurance status, racial and ethnic minority patients undergo hip arthroscopy at a lower incidence and incur higher costs per surgical encounter.

Keywords: diversity; femoroacetabular impingement; hip; hip arthroscopy; hip/pelvis/thigh; machine learning.

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Conflict of interest statement

One or more of the authors has declared the following conflict of interest or source of funding: E.M.M. has received education payments from Exactech and hospitality payments from Stryker. M.D. has received hospitality payments from Stryker. M.H. has received education payments from Arthrex, Foundation Medical, Medwest Associates, and Smith+Nephew; honoraria from Encore Medical; hospitality payments from Orthalign and Medical Device Business Services; and consulting fees from Vericel. B.A.L. has received consulting fees from Arthrex and Smith+Nephew; nonconsulting fees from Arthrex, Smith+Nephew, and Linvatec; and royalties or license payments from Arthrex. A.J.K. has received nonconsulting fees from Arthrex; royalties or license payments from Arthrex; consulting fees from Arthrex, JRF Ortho, and Responsive Arthroscopy; a grant from DJO; and honoraria from JRF Ortho and MTF Biologics. K.R.O. has received education payments from Foundation Medical, Gemini Medical, Arthrex, Endo Pharmaceuticals, Pinnacle, Medwest Associates, and Smith+Nephew; nonconsulting fees from Smith+Nephew, Arthrex, and Medical Device Business Services; hospitality payments from Stryker, Arthrex, Wright Medical Technology, Medical Device Business Services, and Zimmer Biomet Holdings; consulting fees from Endo Pharmaceuticals and Smith+Nephew; and a grant from Arthrex. AOSSM checks author disclosures against the Open Payments Database (OPD). AOSSM has not conducted an independent investigation on the OPD and disclaims any liability or responsibility relating thereto.

Figures

Figure 1.
Figure 1.
Comparison of hip arthroscopy surgical volume utilization between 2011 and 2017 with projection into 2030 (dashed line) between White and racial and ethnic minority patients.
Figure 2.
Figure 2.
Subgroup comparisons of 90-day emergency department admissions utilizing a mixed-effects model with hospital identification from the New York State Ambulatory Surgery and Services Database as the random effect and race and the variable of interest as the fixed effect. An interaction term between race and the variable of interest was introduced into the model to detect any effect modification of the variable of interest on outcome differences between White and racial and ethnic minority patients. *Statistical significance. yrs, years; VA, veterans administration.
Figure A1.
Figure A1.
Subgroup comparisons of revision hip arthroscopy rates utilizing a mixed-effects model with hospital identification from the New York State Ambulatory Surgery and Services Database as the random effect,race, and the variable of interest as the fixed effect. An interaction term between race and the variable of interest was introduced into the model to detect any effect modification of the variable of interest on outcome differences between White and non-White races. *Statistical significance. yrs, years; VA, veterans administration.
Figure A2.
Figure A2.
Subgroup comparisons of differences in encounter costs utilizing a mixed-effects model with hospital identification from the New York State Ambulatory Surgery and Services Database as the random effect, race, and the variable of interest as the fixed effect. An interaction term between race and the variable of interest was introduced into the model to detect any effect modification of the variable of interest on outcome differences between White and non-White races. *Statistical significance. yrs, years; VA, veterans administration.

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