Socioeconomic Status and Time to Treatment in Patients With Traumatic Rotator Cuff Tears.

INTRODUCTION: Socioeconomic status (SES) affects access to care for traumatic rotator cuff (RTC) tears. Delayed time to treatment (TTT) of traumatic RTC tears results in worse functional outcomes. We investigated disparities in TTT and hypothesized that individuals from areas of low SES would have longer time to surgical repair. METHODS: Patients who underwent repair of a traumatic RTC tear were retrospectively reviewed. Median household income and Social Deprivation Index were used as a proxy for SES. The primary outcome was TTT. Patients were further stratified by preoperative forward flexion and number of tendons torn. RESULTS: A total of 221 patients met inclusion criteria. No significant difference in TTT was observed between income classes (P = 0.222) or Social Deprivation Index quartiles (P = 0.785). Further stratification by preoperative forward flexion and number of tendons torn also yielded no significant difference in TTT. DISCUSSION: Contrary to delays in orthopaedic care documented in literature, our study yielded no difference in TTT between varying levels of SES, even when stratified by the severity of injury. Thus, we reject our original hypothesis. Based on our findings, mechanisms in place at our institution may have mitigated some of these health disparities within our community.

Revision Shoulder Arthroplasty: Predictors of Subsequent Revision Surgery and Economic Burden amongst Medicare Beneficiaries.

BACKGROUND: Revision shoulder arthroplasty continues to add an increasing burden on patients and the healthcare system. This study aimed to delineate long-term shoulder arthroplasty revision incidence, quantify associated Medicare spending, and identify relevant predictors of both revision and spending. METHODS: The complete 2016-2022(Q3) Medicare fee-for-service inpatient and outpatient claims data was analyzed. Patients receiving a primary total shoulder arthroplasty for osteoarthritis, rotator cuff pathology, or inflammatory arthropathy were included and subsequent ipsilateral revision surgeries were identified. The time to revision was modeled using the Prentice, Williams, and Peterson Gap Time Model. Medicare spending within 90 days post-discharge was modeled using a generalized linear model. The analysis was subdivided by index procedure type: anatomic total shoulder arthroplasty (TSA) and reverse shoulder arthroplasty (RSA). RESULTS: A total of 82,949 primary TSAs and 172,524 RSAs were identified. Compared to index TSA cases, index RSA cases had a lower first revision rate in an observation window of nearly 7 years (1.9% vs. 3.5%, p<0.001), but a higher rate of second (11.4% vs. 4.9%, p<0.001) as well as third revision (13.8% vs. 13.8%, p=0.449). TSA spending was significantly lower than RSA spending for the index procedure ($21,531 vs. $23,267, p<0.001), first ($23,096 vs. $26,414, p<0.001), and second ($25,060 vs. $29,983, p<0.001) revision. There was no statistically significant difference in third revision between TSA and RSA groups ($31,313 vs. $30,829, p=0.860). Age, sex, race, and rheumatoid arthritis were among the top predictors of revisions. Top predictors of Medicare spending included having a non-osteoarthritis surgical indication, a hospital stay of three or more days, a discharge to a setting other than home, malnutrition, dementia, stroke, major kidney diseases, and being operated on in a teaching hospital. CONCLUSION: Compared with TSA, RSA was associated with a lower first revision rate, but a higher subsequent revision rate. An index RSA procedure was also associated with higher initial Medicare spending as well as subsequent revision surgery spending compared with an index TSA procedure. Demographics and comorbid medical conditions were among the top predictors of revisions, while procedure-related factors predicted Medicare spending.

Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis.

BACKGROUND: Numerous applications and strategies have been utilized to help assess the trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate possible risk factors and causative agents. The aim of this work is to systematically summarize the available literature on the extent to which natural language processing, machine learning, and artificial intelligence (AI) can help improve the predictability of hospital readmissions after orthopaedic and spine surgeries. METHODS: This is a systematic review and meta-analysis. PubMed, Embase and Google Scholar were searched, up until August 30, 2023, for studies that explore the use of AI, natural language processing, and machine learning tools for the prediction of readmission rates after orthopedic procedures. Data regarding surgery type, patient population, readmission outcomes, advanced models utilized, comparison methods, predictor sets, the inclusion of perioperative predictors, validation method, size of training and testing sample, accuracy, and receiver operating characteristics (C-statistic), among other factors, were extracted and assessed. RESULTS: A total of 26 studies were included in our final dataset. The overall summary C-statistic showed a mean of 0.71 across all models, indicating a reasonable level of predictiveness. A total of 15 articles (57%) were attributed to the spine, making it the most commonly explored orthopaedic field in our study. When comparing accuracy of prediction models between different fields, models predicting readmissions after hip/knee arthroplasty procedures had a higher prediction accuracy (mean C-statistic = 0.79) than spine (mean C-statistic = 0.7) and shoulder (mean C-statistic = 0.67). In addition, models that used single institution data, and those that included intraoperative and/or postoperative outcomes, had a higher mean C-statistic than those utilizing other data sources, and that include only preoperative predictors. According to the Prediction model Risk of Bias Assessment Tool, the majority of the articles in our study had a high risk of bias. CONCLUSION: AI tools perform reasonably well in predicting readmissions after orthopaedic procedures. Future work should focus on standardizing study methodologies and designs, and improving the data analysis process, in an attempt to produce more reliable and tangible results. LEVEL OF EVIDENCE: Level III. See Instructions for Authors for a complete description of levels of evidence.

Trends in reported outcomes and patient reported outcome measures (PROMs) in humeral shaft fracture literature: a systematic review.

PURPOSE: With a lack of standardization among outcome measures in fracture literature, cross-study comparisons remain limited. This systematic review aimed to identify trends in outcome measures reported by studies of the treatment of humeral shaft fractures. METHODS: A systematic review was performed of studies reporting clinical outcomes of humeral shaft fractures indexed in PubMed. Extracted data included demographics, fracture characteristics, treatment modalities, outcomes, patient reported outcome measures (PROMs), and journal characteristics. Cochran-Armitage tests and linear regressions were used to identify data trends. Pearson chi-square and Kruskal-Wallis tests were used for comparisons between studies. RESULTS: This review included 197 studies with outcomes of 15,445 humeral shaft fractures. 126 studies reported PROMs and 37 different PROMs were used. The Constant Score was most commonly reported (34% of studies), followed by ASES Score (21%), MEPS (21%), and DASH Score (20%). There was a significant increase in PROM usage over time (p = 0.016) and in articles using three or more PROMs (p = 0.005). The number of PROMs were significantly greater in prospective cohort studies and RCTs (p = 0.012) compared to retrospective cohort studies and case series (p = 0.044 for both). Post-treatment shoulder motion was reported in 43% of studies and 34% reported elbow motion. 86% of studies reported complications as an outcome parameter. Time to union and nonunion rate were published in 69% and 88% of studies, respectively. CONCLUSION: This study identified increasing PROM usage over time and disparities in the reporting of outcomes in humeral shaft fracture literature requiring further validation and standardization of available outcome measures.

A preoperative risk assessment tool for predicting adverse outcomes among total shoulder arthroplasty patients.

BACKGROUND: With the increased utilization of Total Shoulder Arthroplasty (TSA) in the outpatient setting, understanding the risk factors associated with complications and hospital readmissions becomes a more significant consideration. Prior developed assessment metrics in the literature either consisted of hard-to-implement tools or relied on postoperative data to guide decision-making. This study aimed to develop a preoperative risk assessment tool to help predict the risk of hospital readmission and other postoperative adverse outcomes. METHODS: We retrospectively evaluated the 2019-2022(Q2) Medicare fee-for-service inpatient and outpatient claims data to identify primary anatomic or reserve TSAs and to predict postoperative adverse outcomes within 90 days postdischarge, including all-cause hospital readmissions, postoperative complications, emergency room visits, and mortality. We screened 108 candidate predictors, including demographics, social determinants of health, TSA indications, prior 12-month hospital, and skilled nursing home admissions, comorbidities measured by hierarchical conditional categories, and prior orthopedic device-related complications. We used two approaches to reduce the number of predictors based on 80% of the data: 1) the Least Absolute Shrinkage and Selection Operator logistic regression and 2) the machine-learning-based cross-validation approach, with the resulting predictor sets being assessed in the remaining 20% of the data. A scoring system was created based on the final regression models' coefficients, and score cutoff points were determined for low, medium, and high-risk patients. RESULTS: A total of 208,634 TSA cases were included. There was a 6.8% hospital readmission rate with 11.2% of cases having at least one postoperative adverse outcome. Fifteen covariates were identified for predicting hospital readmission with the area under the curve of 0.70, and 16 were selected to predict any adverse postoperative outcome (area under the curve = 0.75). The Least Absolute Shrinkage and Selection Operator and machine learning approaches had similar performance. Advanced age and a history of fracture due to orthopedic devices are among the top predictors of hospital readmissions and other adverse outcomes. The score range for hospital readmission and an adverse postoperative outcome was 0 to 48 and 0 to 79, respectively. The cutoff points for the low, medium, and high-risk categories are 0-9, 10-14, ≥15 for hospital readmissions, and 0-11, 12-16, ≥17 for the composite outcome. CONCLUSION: Based on Medicare fee-for-service claims data, this study presents a preoperative risk stratification tool to assess hospital readmission or adverse surgical outcomes following TSA. Further investigation is warranted to validate these tools in a variety of diverse demographic settings and improve their predictive performance.

Racial and gender disparities in utilization of outpatient total shoulder arthroplasties.

BACKGROUND: Utilization in outpatient total shoulder arthroplasties (TSAs) has increased significantly in recent years. It remains largely unknown whether utilization of outpatient TSA differs across gender and racial groups. This study aimed to quantify racial and gender disparities both nationally and by geographic regions. METHODS: 168,504 TSAs were identified using Medicare fee-for-service inpatient and outpatient claims data and beneficiary enrollment data from 2020 to 2022Q4. The percentage of outpatient cases, defined as cases discharged on the same day of surgery, was evaluated by racial and gender groups and by different census divisions. A multivariate logistics regression model controlling for patient sociodemographic information (White vs. non-White race, age, gender, and dual eligibility for both Medicare and Medicaid), hierarchical condition category (HCC) score, hospital characteristics, year fixed effects, and patient residency state fixed effects was performed. RESULTS: The TSA volume per 1000 beneficiaries was 2.3 for the White population compared with 0.8, 0.6, and 0.3 for the Black, Hispanic, and Asian population, respectively. A higher percentage of outpatient TSAs were in White patients (25.6%) compared with Black patients (20.4%) (P < .001). The Black TSA patients were also younger, more likely to be female, more likely to be dually eligible for Medicaid, and had higher HCC risk scores. After controlling for patient sociodemographic characteristics and hospital characteristics, the odds of receiving outpatient TSAs were 30% less for Black than the White group (odds ratio 0.70). Variations were observed across different census divisions, with South Atlantic (0.67, P < .01), East North Central (0.56, P < .001), and Middle Atlantic (0.36, P < .01) being the 4 regions observed with significant racial disparities. Statistically significant gender disparities were also found nationally and across regions, with an overall odds ratio of 0.75 (P < .001). DISCUSSION: Statistically significant racial and gender disparities were found nationally in outpatient TSAs, with Black patients having 30% (P < .001) fewer odds of receiving outpatient TSAs than White patients, and female patients with 25% (P < .001) fewer odds than male patients. Racial and gender disparities continue to be an issue for shoulder arthroplasties after the adoption of outpatient TSAs.

Narcotic prescribing practices in shoulder surgery before and after the institution of narcotic e-prescribing.

Background: Given the current opioid epidemic, it is crucial to highly regulate the prescription of narcotic medications for pain management. The use of electronic prescriptions (e-scripts) through the hospital's electronic medical record platform allows physicians to fill opioid prescriptions in smaller doses, potentially limiting the total quantity of analgesics patients have access to and decreasing the potential for substance misuse. The purpose of this study is to determine how the implementation of e-scripts changed the quantity of opioids prescribed following shoulder surgeries. Methods: For this single-center retrospective study, data were extracted for all patients aged 18 years or more who received a shoulder procedure between January 2015 and December 2020. Total milligrams of morphine equivalents (MMEs) of opioids prescribed within the 90 days following surgery were compared between 3 cohorts: preimplementation of the 2017 New Jersey Opioid laws (Pre-NJ opioid laws), post-NJ Opioid Laws but pre-escripting, and postimplementation of e-scripting in 2019 (postescripting). Any patient prescribed preoperative opioids, prescribed opioids by nonorthopedic physicians, under the care of a pain management physician, or had a simultaneous nonshoulder procedure was excluded from this study. Results: There were 1857 subjects included in this study; 796 pre-NJ opioid laws, 520 post-NJ opioid laws, pre-escripting, and 541 postescripting. Following implementation of e-scripting on July 1, 2019, there was a significant decrease in total MMEs prescribed (P < .001) from a median of 90 MME (interquartile range 65, 65-130) preimplementation to a median 45 MME (interquartile range 45, 45-90) MME postimplementation Additionally, there was a statistically significant decrease in opioids prescribed for all procedures (P < .001) and for 3 (P < .001) of the 4 orthopedic surgeons included in this study. Conclusion: Our study demonstrated a significant reduction in total MMEs prescribed overall, for all shoulder surgeries, and for the majority of our institution's providers in the postoperative period following the e-scripting implementation in July 2019. E-scripting is a valuable tool in conjunction with education and awareness on the national, institutional, provider, and patient levels to combat the opioid epidemic.

Five-Year Mortality Rates Following Elective Shoulder Arthroplasty and Shoulder Arthroplasty for Fracture in Patients Over Age 65.

Background: To effectively counsel patients prior to shoulder arthroplasty, surgeons should understand the overall life trajectory and life expectancy of patients in the context of the patient's shoulder pathology and medical comorbidities. Such an understanding can influence both operative and nonoperative decision-making and implant choices. This study evaluated 5-year mortality following shoulder arthroplasty in patients ≥65 years old and identified associated risk factors. Methods: We utilized Centers for Medicare & Medicaid Services Fee-for-Service inpatient and outpatient claims data to investigate the 5-year mortality rate following shoulder arthroplasty procedures performed from 2014 to 2016. The impact of patient demographics, including fracture diagnosis, year fixed effects, and state fixed effects; patient comorbidities; and hospital-level characteristics on 5-year mortality rates were assessed with use of a Cox proportional hazards regression model. A p value of <0.05 was considered significant. Results: A total of 108,667 shoulder arthroplasty cases (96,104 nonfracture and 12,563 fracture) were examined. The cohort was 62.7% female and 5.8% non-White and had a mean age at surgery of 74.3 years. The mean 5-year mortality rate was 16.6% across all shoulder arthroplasty cases, 14.9% for nonfracture cases, and 29.9% for fracture cases. The trend toward higher mortality in the fracture group compared with the nonfracture group was sustained throughout the 5-year postoperative period, with a fracture diagnosis being associated with a hazard ratio of 1.63 for mortality (p < 0.001). Medical comorbidities were associated with an increased risk of mortality, with liver disease bearing the highest hazard ratio (3.07; p < 0.001), followed by chronic kidney disease (2.59; p < 0.001), chronic obstructive pulmonary disease (1.92; p < 0.001), and congestive heart failure (1.90; p < 0.001). Conclusions: The mean 5-year mortality following shoulder arthroplasty was 16.6%. Patients with a fracture diagnosis had a significantly higher 5-year mortality risk (29.9%) than those with a nonfracture diagnosis (14.9%). Medical comorbidities had the greatest impact on mortality risk, with chronic liver and kidney disease being the most noteworthy. This novel longer-term data can help with patient education and risk stratification prior to undergoing shoulder replacement. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Trends in the Adoption of Outpatient Joint Arthroplasties and Patient Risk: A Retrospective Analysis of 2019 to 2021 Medicare Claims Data.

INTRODUCTION: Total joint arthroplasties (TJAs) have recently been shifting toward outpatient arthroplasty. This study aims to explore recent trends in outpatient total joint arthroplasty (TJA) procedures and examine whether patients with a higher comorbidity burden are undergoing outpatient arthroplasty. METHODS: Medicare fee-for-service claims were screened for patients who underwent total hip, knee, or shoulder arthroplasty procedures between January 2019 and December 2022. The procedure was considered to be outpatient if the patient was discharged on the same date of the procedure. The Hierarchical Condition Category Score (HCC) and the Charlson Comorbidity Index (CCI) scores were used to assess patient comorbidity burden. Patient adverse outcomes included all-cause hospital readmission, mortality, and postoperative complications. Logistic regression analyses were used to evaluate if higher HCC/CCI scores were associated with adverse patient outcomes. RESULTS: A total of 69,520, 116,411, and 41,922 respective total knee, hip, and shoulder arthroplasties were identified, respectively. Despite earlier removal from the inpatient-only list, outpatient knee and hip surgical volume did not markedly increase until the pandemic started. By 2022Q4, 16%, 23%, and 36% of hip, knee, and shoulder arthroplasties were discharged on the same day of surgery, respectively. Both HCC and CCI risk scores in outpatients increased over time ( P < 0.001). DISCUSSION: TJA procedures are shifting toward outpatient surgery over time, largely driven by the COVID-19 pandemic. TJA outpatients' HCC and CCI risk scores increased over this same period, and additional research to determine the effects of this should be pursued. LEVEL OF EVIDENCE: Level III, therapeutic retrospective cohort study.

Trends and outcomes of outpatient total shoulder arthroplasty after its removal from CMS's inpatient-only list.

BACKGROUND: In January 2021, the US Medicare program approved reimbursement of outpatient total shoulder arthroplasties (TSA), including anatomic and reverse TSAs. It remains unclear whether shifting TSAs from the inpatient to outpatient setting has affected clinical outcomes. Herein, we describe the rate of outpatient TSA growth and compare inpatient and outpatient TSA complications, readmissions, and mortality. METHODS: Medicare fee-for-service claims for 2019-2022Q1 were analyzed to identify the trends in outpatient TSAs and to compare 90-day postoperative complications, all-cause hospital readmissions, and mortality between outpatients and inpatients. Outpatient cases were defined as those discharged on the same day of the surgery. To reduce the COVID-19 pandemic's impact and selection bias, we excluded 2020Q2-Q4 data and used propensity scores to match 2021-2022Q1 outpatients with inpatients from the same period (the primary analysis) and from 2019-2020Q1 (the secondary analysis), respectively. We performed both propensity score-matched and -weighted multivariate analyses to compare outcomes between the two groups. Covariates included sociodemographics, preoperative diagnosis, comorbid conditions, the Hierarchical Condition Category risk score, prior year hospital/skilled nursing home admissions, annual surgeon volume, and hospital characteristics. RESULTS: Nationally, the proportion of outpatient TSAs increased from 3% (619) in 2019Q1 to 22% (3456) in 2021Q1 and 38% (6778) in 2022Q1. A total of 55,166 cases were identified for the primary analysis (14,540 outpatients and 40,576 inpatients). Overall, glenohumeral osteoarthritis was the most common indication for surgery (70.8%), followed by rotator cuff pathology (14.6%). The unadjusted rates of complications (1.3 vs 2.4%, P < .001), readmissions (3.7 vs 6.1%, P < .001), and mortality (0.2 vs 0.4%, P = .024) were significantly lower among outpatient TSAs than inpatient TSAs. Using 1:1 nearest matching, 12,703 patient pairs were identified. Propensity score-matched multivariate analyses showed similar rates of postoperative complications, hospital readmissions, and mortality between outpatients and inpatients. Propensity score-weighted multivariate analyses resulted in similar conclusions. The secondary analysis showed a lower hospital readmission rate in outpatients (odds ratio: 0.8, P < .001). CONCLUSIONS: There has been accelerated growth in outpatient TSAs since 2019. Outpatient and inpatient TSAs have similar rates of postoperative complication, hospital readmission, and mortality.

Mental health disorders and pain modulation in orthopedic shoulder patients.

Background: Various studies have examined the relationship between preoperative mental health diagnoses (MHDs) and postoperative outcomes in orthopedic shoulder patients. However, few investigations delve into the relationship between a preoperative MHD and postoperative opioid pain control regimens in patients who have undergone rotator cuff repair (RCR), total shoulder arthroplasty (TSA), and reverse TSA (rTSA). We hypothesize that orthopedic shoulder patients with a preoperative MHD will be prescribed more opioids (ie, request more refills) postoperatively than those without a MHD. Methods: An institutional review board-approved retrospective chart review was performed on 438 patients, 18 years or older, who underwent RCR, TSA, or rTSA. Patients were divided into two groups: those diagnosed with depression, anxiety, bipolar disorder, and/or schizophrenia (n = 193), and those with no previous MHD (n = 245). Statistical outcomes were analyzed with the independent t-test, Mann-Whitney U test, one-way Analysis of Variance, and Kruskal-Wallis test. Results: Univariate analysis demonstrated significant differences between the MHD group and non-MHD group in average 90-day postoperative opioid scripts (2.10 vs. 1.55, respectively, P < .001) and median 90-day postoperative morphine milligram equivalents (MMEs) prescribed (225 MME vs. 185.25 MME, respectively, P < .001). Among patients who were opioid naive 90 days preoperatively, significant differences were found in MMEs prescribed between the MHD and non-MHD group (225 MME vs. 150 MME, respectively, P < .001). Further analysis of opioid naive patients with specifically depression compared to patients with an alternate or no MHD diagnosis yielded significant differences in scripts (1.78 vs. 1.33, respectively, P = .031) and MMEs prescribed (225 MME vs. 150 MME, respectively, P < .001). Conclusion: This study found that RCR, TSA, or rTSA patients with a preoperative MHD were prescribed significantly more postoperative MMEs and more opioid scripts (ie, requested more refills) than those without MHD. This is despite preoperative education on postoperative pain expectations and limiting opioid use. Our findings support our hypothesis and emphasize the clinical importance of recognizing mental health disease while navigating postoperative pain control expectations. Given the rising prevalence of mental health disorders nationwide, considering the effect of these comorbidities on postoperative pain in RCR, TSA, and rTSA patients will be essential to enhance preoperative and postoperative counseling and management by orthopedic surgeons. We further recommend a multidisciplinary approach to help manage pain in these patients.

Allograft-Prosthetic Composite Reconstruction for Proximal Humerus Bone Loss: A Systematic Review and Meta-Analysis of Outcomes and Complications.

BACKGROUND: In smaller studies, allograft-prosthetic composite (APC) has been used for proximal humerus bone loss with some success, although with notable complication risk. This systematic review and meta-analysis sought to describe outcomes and complications after proximal humerus APC and how major APC complications are defined in the literature. METHODS: A systematic review was performed per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed/MEDLINE, EMBASE, Web of Science, and Cochrane were queried for articles on APC for proximal humeral bone loss secondary to tumor, fracture, or failed arthroplasty. Primary outcomes included postoperative range of motion, outcome scores (Musculoskeletal Tumor Society [MSTS], Simple Shoulder Test [SST], American Shoulder and Elbow Surgeons [ASES], Constant, visual analog scale [VAS], and subjective shoulder value [SSV]), and complication incidence. We also described individual study definitions of APC malunion/nonunion, methods of postoperative evaluation, malunion/nonunion rates, allograft fracture/fragmentation rates, and mean union time, when available. Secondarily, we compared hemiarthroplasty and reverse total shoulder arthroplasty. RESULTS: Sixteen articles including 375 shoulders were evaluated (average age: 49 years, follow-up: 54 months). Fifty-seven percent of procedures were performed for tumors, 1% for proximal humerus trauma sequelae, and 42% for revision arthroplasty. Average postoperative forward elevation was 82° (69-94°), abduction 60° (30-90°), and external rotation 23° (17-28°). Average MSTS score was 82% (77%-87%), SST score 5.3 (4.5-6.1), ASES score 64 (54-74), Constant score 44 (38-50), VAS score 2.2 (1.7-2.7), and SSV 51 (45-58). There was a 51% complication rate with an 18% nonallograft surgical complication rate, 26% APC nonunion/malunion/resorption rate, and 10% APC fracture/fragmentation rate. Fifteen percent of nonunited APCs underwent secondary bone grafting; 3% required a new allograft; and overall revision rate was 12%. APC nonunion/malunion was defined in 2 of 16, malunion/nonunion rates in 14 of 16, fracture/fragmentation rates in 6 of 16, and mean union time (7 months) in 4 of 16 studies. CONCLUSION: APC reconstruction of the proximal humerus remains a treatment option, albeit with substantial complication rates. In addition, there is a need for APC literature to report institutional definitions of nonunion/malunion, postoperative evaluation, and time to union for a more standardized evaluation. LEVEL OF EVIDENCE: Level IV; systematic review. See Instructions for Authors for a complete description of levels of evidence.

Disparities in arthroplasty utilization for rotator cuff tear arthropathy.

BACKGROUND: Rotator cuff tear arthropathy (CTA) carries a significant symptomatic burden for patients. Reverse shoulder arthroplasty (RSA) is an effective treatment intervention for CTA. Disparities in musculoskeletal medicine are well documented; however, there is a paucity of literature on how social determinants of health affect utilization rates. The purpose of this study is to determine how social determinants of health affect the utilization rates of RSA. METHODS: A single-center retrospective review was conducted for adult patients diagnosed with CTA between 2015 and 2020. Patients were divided by those who underwent RSA and those who were offered RSA but did not undergo surgery. Each patient's zip code was used to determine the most specific median household income in the US Census Bureau database and compared to the multistate metropolitan statistical area median income. Income levels were defined by the US Department of Housing and Urban Development's (HUD's) 2022 Income Limits Documentation System and the Federal Reserve's (FED's) Community Reinvestment Act. Because of numeric restrictions, patients were grouped into racial cohorts of Black, White, and all other races. RESULTS: Patients of other races had significantly lower odds of continuing to surgery compared with White patients in models controlled for median household income (odds ratio [OR] 0.38, 95% confidence interval [CI] 0.18-0.81, P = .01), HUD's 3 income levels (OR 0.36, 95% CI 0.18-0.74, P = .01), and FED's income levels (OR 0.37, 95% CI 0.17-0.79, P = .01). There was no significantly different odds of going on to surgery between FED income levels and median household income levels, but when compared with those with low HUD income, those below median had significantly lower odds of going on to surgery (OR 0.43, 95% CI 0.23-0.80, P = .01). CONCLUSION: Although contradictory to reported health care utilization for Black patients, our study supports reported disparities in utilization for other ethnic minorities. These findings may suggest that improvements in utilization efforts targeted Black-identifying patients but not necessarily other ethnic minorities. The findings of this study can help providers understand how social determinants of health play a role in the utilization of care for CTA and direct mitigation efforts to reduce disparities in access to adequate orthopedic care.

Higher Surgeon Volume is Associated With a Lower Rate of Subsequent Revision Procedures After Total Shoulder Arthroplasty: A National Analysis.

BACKGROUND: Studies assessing the relationship between surgeon volume and outcomes have shown mixed results, depending on the specific procedure analyzed. This volume relationship has not been well studied in patients undergoing total shoulder arthroplasty (TSA), but it should be, because this procedure is common, expensive, and potentially morbid. QUESTIONS/PURPOSES: We performed this study to assess the association between increasing surgeon volume and decreasing rate of revision at 2 years for (1) anatomic TSA (aTSA) and (2) reverse TSA (rTSA) in the United States. METHODS: In this retrospective study, we used Centers for Medicare and Medicaid Services (CMS) fee-for-service inpatient and outpatient data from 2015 to 2021 to study the association between annual surgeon aTSA and rTSA volume and 2-year revision shoulder procedures after the initial surgery. The CMS database was chosen for this study because it is a national sample and can be used to follow patients over time. We included patients with Diagnosis-related Group code 483 and Current Procedural Terminology code 23472 for TSA (these codes include both aTSA and rTSA). We used International Classification of Diseases, Tenth Revision, procedural codes. Patients who underwent shoulder arthroplasty for fracture (10% [17,524 of 173,242]) were excluded. We studied the variables associated with the subsequent procedure rate through a generalized linear model, controlling for confounders such as patient age, comorbidity risk score, surgeon and hospital volume, surgeon graduation year, hospital size and teaching status, assuming a binomial distribution with the dependent variable being whether an episode had at least one subsequent procedure within 2 years. The regression was fitted with standard errors clustered at the hospital level, combining all TSAs and within the aTSA and rTSA groups, respectively. Hospital and surgeon yearly volumes were calculated by including all TSAs, primary procedure and subsequent, during the study period. Other hospital-level and surgeon-level characteristics were obtained through public files from the CMS. The CMS Hierarchical Condition Category risk score was controlled because it is a measure reflecting the expected future health costs for each patient based on the patient's demographics and chronic illnesses. We then converted regression coefficients to the percentage change in the odds of having a subsequent procedure. RESULTS: After controlling for confounding variables including patient age, comorbidity risk score, surgeon and hospital volume, surgeon graduation year, and hospital size and teaching status, we found that an annual surgeon volume of ≥ 10 aTSAs was associated with a 27% decreased odds of revision within 2 years (95% confidence interval 13% to 39%; p < 0.001), while surgeon volume of ≥ 29 aTSAs was associated with a 33% decreased odds of revision within 2 years (95% CI 18% to 45%; p < 0.001) compared with a volume of fewer than four aTSAs per year. Annual surgeon volume of ≥ 29 rTSAs was associated with a 26% decreased odds of revision within 2 years (95% CI 9% to 39%; p < 0.001). CONCLUSION: Surgeons should consider modalities such as virtual planning software, templating, or enhanced surgeon training to aid lower-volume surgeons who perform aTSA and rTSA. More research is needed to assess the value of these modalities and their relationship with the rates of subsequent revision. LEVEL OF EVIDENCE: Level III, therapeutic study.

The impact of the COVID-19 pandemic on racial disparities in patients undergoing total shoulder arthroplasty in the United States.

Introduction: The purpose of this study was to assess racial disparities in total shoulder arthroplasty (TSA) in the United States and to determine whether these disparities were affected by the COVID-19 pandemic. Methods: Centers for Medicare and Medicaid Services (CMS) 100% sample was used to examine primary TSA volume from April to December from 2019 to 2020. Utilization was assessed for White, Black, Hispanic, and Asian populations to determine if COVID-19 affected these groups differently. A regression model adjusted for age, sex, CMS-hierarchical condition categories (HCC) score, dual enrollment (proxy for socioeconomic status), time-fixed effects, and core-based statistical area fixed effects was used to study difference across groups. Results: In 2019, the TSA volume per 1000 beneficiaries was 1.51 for White and 0.57 for non-White, with a 2.6-fold difference. In 2020, the rate of TSA in White patients (1.30/1000) was 2.9 times higher than non-White (0.45/1000) during the COVID-19 pandemic (P < .01). There was an overall 14% decrease in TSA volume per 1000 Medicare beneficiaries in 2020; non-White patients had a larger percentage decrease in TSA volume than White (21% vs. 14%, estimated difference; 8.7%, P = .02). Black patients experienced the most pronounced disparity with estimated difference of 10.1%, P = .05, compared with White patients. Similar disparities were observed when categorizing procedures into anatomic and reverse TSA, but not proximal humerus fracture. Conclusions: During the COVID-19 pandemic, overall TSA utilization decreased by 14% with White patients experiencing a decrease of 14%, and non-White patients experiencing a decrease of 21%. This trend was observed for elective TSA, while disparities were less apparent for proximal humerus fracture.

Impact of the COVID-19 pandemic on shoulder arthroplasty: surgical trends and postoperative care pathway analysis.

BACKGROUND: COVID-19 triggered disruption in the conventional care pathways for many orthopedic procedures. The current study aims to quantify the impact of the COVID-19 pandemic on shoulder arthroplasty hospital surgical volume, trends in surgical case distribution, length of hospitalization, posthospital disposition, and 30-day readmission rates. METHODS: This study queried all Medicare (100% sample) fee-for-service beneficiaries who underwent a shoulder arthroplasty procedure (Diagnosis-Related Group code 483, Current Procedural Terminology code 23472) from January 1, 2019, to December 18, 2020. Fracture cases were separated from nonfracture cases, which were further subdivided into anatomic or reverse arthroplasty. Volume per 1000 Medicare beneficiaries was calculated from April to December 2020 and compared to the same months in 2019. Length of stay (LOS), discharged-home rate, and 30-day readmission for the same period were obtained. The yearly difference adjusted for age, sex, race (white vs. nonwhite), Centers for Medicare & Medicaid Services Hierarchical Condition Category risk score, month fixed effects, and Core-Based Statistical Area fixed effects, with standard errors clustered at the provider level, was calculated using a multivariate analysis (P < .05). RESULTS: A total of 49,412 and 41,554 total shoulder arthroplasty (TSA) cases were observed April through December for 2019 and 2020, respectively. There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% (19% reduction in anatomic TSA, 13% reduction in reverse shoulder arthroplasty, and 3% reduction in fracture cases). LOS for all shoulder arthroplasty cases decreased by 16% (-0.27 days, P < .001) when adjusted for confounders. There was a 5% increase in the discharged-home rate (88.0% to 92.7%, P < .001), which was most prominent in fracture cases, with a 20% increase in discharged-home cases (65.0% to 73.4%, P < .001). There was no significant change in 30-day hospital readmission rates overall (P = .20) or when broken down by individual procedures. CONCLUSIONS: There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% during the COVID-19 pandemic. A decrease in LOS and increase in the discharged-home rates was also observed with no significant change in 30-day hospital readmission, indicating that a shift toward an outpatient surgical model can be performed safely and efficiently and has the potential to provide value.