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BACKGROUND: Recent mandates from the Center for Medicare and Medicaid Services (CMS) require United States hospitals to disclose healthcare service pricing. Yet, there's a gap in understanding how state-level factors affect hospital service pricing, like total shoulder arthroplasty (TSA). Comprehending these influences can help policymakers and healthcare providers manage costs and improve care access for vulnerable populations. The purpose of this study was to examine the effect of state characteristics such as partisan lean, Certificate of Need (CON) status, and Medicaid expansion, on TSA price. METHODS: TSA price data was extracted from the Turquoise Health Database using CPT code 23472. State partisan lean was determined by evaluating each state during the 2020 election year for its legislature (both senate and house), governor, presidential vote, and Insurance Commissioner affiliation, categorizing states as either "Republican-leaning" or "Democratic-leaning." CON status, Medicaid expansion, area deprivation index (ADI), and population density information was obtained from publicly available sources. Multivariable regression models were used to assess the relationship between these factors and TSA price. RESULTS: The study included 2,068 hospitals nationwide. The median (IQR) price of TSA across these hospitals was $12,607 ($9,185). In the multivariable analysis, hospitals in Republican-leaning states were associated with a significantly greater price of +$210 (p = 0.0151), while Medicaid expansion was also associated with greater price +$1,878 (p < 0.0001). CON status was associated with a significant reduction in TSA prices of -$2,880 (p < 0.0001). In North Carolina an ADI >85 was associated with a reduction in price (p = 0.0045), while urbanization designation did not significantly impact TSA price (p = 0.8457). CONCLUSION: This cross-sectional observational study found that Republican-leaning states and Medicaid expansion were associated with increased TSA prices, while an ADI >85 and CON laws were associated with reduced TSA prices.
RESUMEN
Background: The incidence of primary total ankle arthroplasty (TAA) is rising, with a corresponding increase in revision surgeries. Despite this, research on risk factors for revision TAA following primary TAA remains limited. Radiographic soft tissue thickness has been explored as a potential predictor for outcomes in hip, knee, and shoulder arthroplasty, but its role in TAA has not been assessed. This study aimed to assess the predictive value of radiographic soft tissue thickness for identifying patients at risk of requiring revision surgery following primary TAA. Methods: A retrospective study was conducted on 323 patients who underwent primary TAA between 2003 and 2019. Radiographic measurements of soft tissue thickness were obtained from preoperative radiographs. Two novel radiographic measures of soft tissue thickness were developed and assessed (tibial tissue thickness and talus tissue thickness). Clinical variables including age, gender, body mass index (BMI), American Society of Anesthesiologists (ASA) classification, diabetes, smoking status, primary diagnosis, and implant type were recorded. Logistic regression analysis was used to assess the predictive value of soft tissue thickness and BMI for revision TAA. Results: The rate of revision surgery was 4.3% (14 of 323 patients). Patients requiring revision had significantly greater tibial tissue (3.54 vs 2.48 cm; P = .02) and talus tissue (2.79 vs 2.42 cm; P = .02) thickness compared with those not requiring revision. Both the tibial tissue thickness (odds ratio 1.16 [1.12-1.20]; P < .01) and the talus tissue thickness (odds ratio: 1.10 [1.05-1.15]; P < .01) measurements were significant predictors of revision TAA in multivariable logistic regression models. However, BMI was not a significant predictor of revision TAA. The two metrics demonstrated excellent interrater reliability. Conclusion: Greater soft tissue thickness was a better predictor of revision TAA compared with BMI. These findings suggest that radiographic soft tissue thickness may be a valuable tool for assessing the risk of the need for revision TAA following primary TAA. Further research is needed to validate and explore the potential impact on clinical practice. Level of Evidence: Level III, comparative study.