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Purpose: To determine the rate of reporting for sociodemographic variables in randomized controlled trials (RCTs) investigating femoral acetabular impingement (FAI) and hip arthroscopy. Methods: PubMed, Scopus, and Web of Science were queried for articles relating to FAI and hip arthroscopy. Articles included in final analysis were RCTs investigating operative management of FAI. Included RCTs were analyzed for reporting of age and sex or gender as well as the following sociodemographic variables: race, ethnicity, insurance status, income, housing status, work status, and education level in the results section or any section of the paper. Data was analyzed using χ2 and Fisher exact tests with significance defined as P < .05. Results: Forty-eight RCTs were identified from 2011 to 2023. Age was reported in 48 of 48 (100%) of included papers; sex or gender was reported in 47 of 48 (97.9%). Reporting of sociodemographic variables in any section respectively was: race (7/48, 14.6%), ethnicity (4/48, 8.33%), insurance status (0/48, 0%), income (1/48, 2.08%), housing status (0/48, 0%), work status (3/48, 6.25%), and education (2/48, 4.17%). There was no significant difference for reporting demographic variables with respect to journal or year of publication (P = .666 and P = .761, respectively). Sociodemographic variables (9/48) were reported significantly less frequently than age and sex or gender (48/48) (P < .001). Conclusions: This study found that sociodemographic variables in FAI and hip arthroscopy RCTs are reported with much lower frequency than age and sex or gender. These findings may demonstrate the need to include patient sociodemographic data in RCTs so that their results can be better generalized and applied to the appropriate patient population. Level of Evidence: Level II, systematic review of level I and II evidence.

Background: Disparities exist in access to and outcomes following total knee arthroplasty. However, there is a paucity of data examining the relationship between travel distance and these disparities. Methods: We used the Healthcare Cost and Utilization Project, American Hospital Association, and UnitedStatesZipCodes.org Enterprise databases to gather patient demographic and postoperative outcomes data. We calculated the distance traveled between patient population-weighted zip code centroid points and the hospitals at which they received total knee arthroplasty. We then examined the association between travel distance and patient demographic characteristics as well as postoperative adverse outcomes. Results: Among of cohort of 384,038 patients, white patients (16.58 miles) traveled farther on average than Black (10.05) or Hispanic patients (10.54) (P < .0001). Medicare and commercial insurance coverage were associated with greater travel distance (P < .0001). Fewer medical comorbidities (P < .001) and residence in the highest-income areas (P < .0001) were associated with increased travel distance. Differences in postoperative complication rates related to travel distance were not clinically significant. Conclusions: Increased travel distance for total knee arthroplasty was associated with white race, commercial and Medicare insurance coverage, fewer medical comorbidities, and increased socioeconomic status. Future work is needed to determine the underlying causal mechanisms leading to these differences in access to specialized care.

Purpose: To describe differences in radiographic and magnetic resonance imaging (MRI) findings between adult and pediatric patients with known primary anterior cruciate ligament (ACL) injuries. Methods: We performed a retrospective analysis of surgical patients with a history of ACL tears treated at our institution over a 7-year period. Patients were divided into 2 cohorts based on age (≤15 years and ≥21 years). Patients’ radiographs and MRI studies were used to compare features including fracture incidence, bone bruise pattern, associated ligamentous injuries, and meniscal injuries between the 2 groups. Proportions of associated findings were analyzed using the 2-proportion z test. Results: Within our cohorts of 52 sex-matched pediatric and adult patients, we found that pediatric patients were more likely to have radiographic evidence of fracture (P = .001) and MRI evidence of lateral femoral condylar bone bruising (P = .012). Adult patients had higher rates of medial femoral condylar bruising (P = .016) and medial proximal tibial bruising (P = .005), as well as popliteal fibular ligament injuries (P = .037), identified on MRI. Conclusions: In this study, we identified differences in bone bruise patterns between pediatric and adult patients with primary ACL tears. Pediatric patients were more likely to have radiographic evidence of fracture and MRI evidence of lateral femoral condylar bone bruising. Adult patients were more likely to show medial femoral condylar and medial proximal tibial bone bruising, as well as popliteal fibular ligament injuries. Level of Evidence: Level IV, prognostic case series.

Background: Disparities in access to total hip arthroplasty (THA) exist. The purpose of this study is to examine how distance traveled to undergo elective THA correlates with sociodemographic variables and postoperative outcomes. Material and methods: The Healthcare Cost and Utilization Project New York and Florida state inpatient databases were used to identify patients who underwent elective THA between 2006 and 2014. Data from the American Hospital Association and United States Postal Service were used to calculate the distance patients traveled to receive THA, and only those who traveled more than 25 miles were included. We stratified patients into 4 groups based on their distance traveled (25-50 miles, 50.01-100 miles, 100.01-500 miles, and >500.01 miles) and compared demographic characteristics and postoperative outcomes between groups. Results: Age, race, insurance provider, zip code income quartile, and Charlson Comorbidity Index scores were each significantly associated with travel distance (P < .001) among our cohort of 25,734 patients. Patients who were older, were white, had Medicare insurance coverage, lived in zip codes with a higher median household income, and had increased comorbidities were more likely to travel the farthest to receive care. There were minimal associations between travel distance and postoperative outcomes. Conclusion: There may be specific demographic groups who either are forced to travel long distances to receive care or have the resources to seek out and travel to distant hospitals in an effort to receive optimal care. Understanding the interconnected relationships between demographic variables is necessary to address disparities in access to specialized orthopedic surgical care.