Are Quality Scores in the Centers for Medicaid and Medicare Services Merit-based Incentive Payment System Associated With Outcomes After Outpatient Orthopaedic Surgery?

BACKGROUND: The Medicare Merit-based Incentive Payment System (MIPS) ties reimbursement incentives to clinician performance to improve healthcare quality. It is unclear whether the MIPS quality score can accurately distinguish between high-performing and low-performing clinicians. QUESTIONS/PURPOSES: (1) What were the rates of unplanned hospital visits (emergency department visits, observation stays, or unplanned admissions) within 7, 30, and 90 days of outpatient orthopaedic surgery among Medicare beneficiaries? (2) Was there any association of MIPS quality scores with the risk of an unplanned hospital visit (emergency department visits, observation stays, or unplanned admissions)? METHODS: Between January 2018 and December 2019, a total of 605,946 outpatient orthopaedic surgeries were performed in New York State according to the New York Statewide Planning and Research Cooperative System database. Of those, 56,772 patients were identified as Medicare beneficiaries and were therefore potentially eligible. A further 34% (19,037) were excluded because of missing surgeon identifier, age younger than 65 years, residency outside New York State, emergency department visit on the same day as outpatient surgery, observation stay on the same claim as outpatient surgery, and concomitant high-risk or eye procedures, leaving 37,735 patients for analysis. The database does not include a list of all state residents and thus does not allow for censoring of patients who move out of state. We chose this dataset because it includes nearly all hospitals and ambulatory surgery centers in a large geographic area (New York State) and hence is not limited by sampling bias. We included 37,735 outpatient orthopaedic surgical encounters among Medicare beneficiaries in New York State from 2018 to 2019. For the 37,735 outpatient orthopaedic surgical procedures included in our study, the mean ± standard deviation age of patients was 73 ± 7 years, 84% (31,550) were White, and 59% (22,071) were women. Our key independent variable was the MIPS quality score percentile (0 to 19th, 20th to 39th, 40th to 59th, or 60th to 100th) for orthopaedic surgeons. Clinicians in the MIPS program may receive a bonus or penalty based on the overall MIPS score, which ranges from 0 to 100 and is a weighted score based on four subscores: quality, promoting interoperability, improvement activities, and cost. The MIPS quality score, which attempts to reward clinicians providing superior quality of care, accounted for 50% and 45% of the overall MIPS score in 2018 and 2019, respectively. Our main outcome measures were 7-day, 30-day, and 90-day unplanned hospital visits after outpatient orthopaedic surgery. To determine the association between MIPS quality scores and unplanned hospital visits, we estimated multivariable hierarchical logistic regression models controlling for MIPS quality scores; patient-level (age, race and ethnicity, gender, and comorbidities), facility-level (such as bed size and teaching status), surgery and surgeon-level (such as surgical procedure and surgeon volume) covariates; and facility-level random effects. We then used these models to estimate the adjusted rates of unplanned hospital visits across MIPS quality score percentiles after adjusting for covariates in the multivariable models. RESULTS: In total, 2% (606 of 37,735), 2% (783 of 37,735), and 3% (1013 of 37,735) of encounters had an unplanned hospital visit within 7, 30, or 90 days of outpatient orthopaedic surgery, respectively. Most hospital visits within 7 days (95% [576 of 606]), 30 days (94% [733 of 783]), or 90 days (91% [924 of 1013]) were because of emergency department visits. We found very small differences in unplanned hospital visits by MIPS quality scores, with the 20th to 39th percentile of MIPS quality scores having 0.71% points (95% CI -1.19% to -0.22%; p = 0.004), 0.68% points (95% CI -1.26% to -0.11%; p = 0.02), and 0.75% points (95% CI -1.42% to -0.08%; p = 0.03) lower than the 0 to 19th percentile at 7, 30, and 90 days, respectively. There was no difference in adjusted rates of unplanned hospital visits between patients undergoing surgery with a surgeon in the 0 to 19th, 40th to 59th, or 60th to 100th percentiles at 7, 30, or 90 days. CONCLUSION: We found that the rates of unplanned hospital visits after outpatient orthopaedic surgery among Medicare beneficiaries were low and primarily driven by emergency department visits. We additionally found only a small association between MIPS quality scores for individual physicians and the risk of an unplanned hospital visit after outpatient orthopaedic surgery. These findings suggest that policies aimed at reducing postoperative emergency department visits may be the best target to reduce overall postoperative unplanned hospital visits and that the MIPS program should be eliminated or modified to more strongly link reimbursement to risk-adjusted patient outcomes, thereby better aligning incentives among patients, surgeons, and the Centers for Medicare ad Medicaid Services. Future work could seek to evaluate the association between MIPS scores and other surgical outcomes and evaluate whether annual changes in MIPS score weighting are independently associated with clinician performance in the MIPS and regarding clinical outcomes. LEVEL OF EVIDENCE: Level III, therapeutic study.

Short-Term (6 Months or Less) Pain in Cemented versus Cementless Total Knee Arthroplasty: A Systematic Review and Meta-Analysis.

BACKGROUND: Cementless total knee arthroplasty (TKA) has increased in popularity to potentially improve survivorship. Radiostereometric studies demonstrate increased component migration during the first 3 to 6 months in cementless constructs, generating concern for increased postoperative pain during early osseointegration. The purpose of this study was to evaluate short-term (≤ 6 months) pain and function in cemented versus cementless TKA. We hypothesized that cementless TKA patients report increased pain during the short-term (≤ 6 months) postoperative period. METHODS: The MEDLINE, EMBASE, CINAHL, and Cochrane Libraries were searched for studies evaluating short-term (≤ 6 months) outcomes of cemented versus cementless primary TKA. Studies involving hybrid fixation were excluded. A meta-analysis was performed using standardized mean difference for primary outcomes (early postoperative pain) and weighted mean difference (WMD) for secondary outcomes (early postoperative function). RESULTS: There were eleven studies included. There was no significant difference in acute postoperative pain between cemented and cementless TKA within 6 months of index TKA (standardized mean difference 0.08 in favor of cemented TKA; P = .10). Early postoperative forgotten joint scores (WMD 0.81; P = .81) and knee injury and osteoarthritis outcome scores for joint replacement (WMD 0.80 in favor of cemented TKA; P = .14) were also similar between groups. CONCLUSIONS: There is no difference in short-term (≤ 6 months) pain or early function between patients receiving cemented and cementless TKA. This suggests that surgeons may utilize cementless TKA without fear of increased pain due to micromotion within 6 months of index arthroplasty. However, additional studies with uniform assessment methods are needed to further inform differences in short-term pain and early functional outcomes between cemented and cementless TKA.

Association of race and ethnicity with opioid prescribing for Medicare beneficiaries following total joint replacements.

BACKGROUND: Profound racial and ethnic disparities exist in the use and outcomes of total hip/knee replacements (total joint replacements [TJR]). Whether similar disparities extend to post-TJR pain management remains unknown. Our objective is to examine the association of race and ethnicity with opioid fills following elective TJRs for White, Black, and Hispanic Medicare beneficiaries. METHODS: We used the 2019 national Medicare data to identify beneficiaries who underwent total hip/knee replacements. Primary outcomes were at least one opioid fill in the period from discharge to 30 days post-discharge, and 31-90 days following discharge. Secondary outcomes were morphine milligram equivalent per day and number of opioid fills. Key independent variable was patient race-ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic). We estimated multivariable hierarchical logistic regressions and two-part models with state-level clustering. RESULTS: Among 67,550 patients, 93.36% were White, 3.69% were Black, and 2.95% were Hispanic. Compared to White patients, more Black patients and fewer Hispanic patients filled an opioid script (84.10% [Black] and 80.11% [Hispanic] vs. 80.33% [White], p < 0.001) in the 30-day period. On multivariable analysis, Black patients had 18% higher odds of filling an opioid script in the 30-day period (odds ratio [OR]: 1.18, 95% confidence interval [CI]: 1.05-1.33, p = 0.004), and 39% higher odds in the 31-90-day period (OR: 1.39, 95% CI: 1.26-1.54, p < 0.001). There were no significant differences in the endpoints between Hispanic and White patients in the 30-day period. However, Hispanic patients had 20% higher odds of filling an opioid script in the 31- to 90-day period (OR: 1.20, 95% CI: 1.07-1.34, p = 0.002). CONCLUSIONS: Important race- and ethnicity-based differences exist in post-TJR pain management with opioids. The mechanisms leading to the higher use of opioids by racial/ethnic minority patients need to be carefully examined.

Demographics and Early Outcomes of Commercial Antibiotic Cement Usage for Infection Prophylaxis During Primary Total Knee Arthroplasty in Patients Older Than 65 Years: An American Joint Replacement Registry Study.

INTRODUCTION: The use of antibiotic-laden bone cement (ALBC) for infection prophylaxis in the setting of primary total knee arthroplasty (TKA) remains controversial. Using data from the American Joint Replacement Registry (AJRR), (1) we examined the demographics of ALBC usage in the United States and (2) identified the effect of prophylactic commercially available ALBC on early revision and readmission for prosthetic joint infection (PJI) after primary TKA. METHODS: This is a retrospective cohort study of the AJRR from 2017 to 2020. Patients older than 65 years undergoing primary cemented TKA with or without the use of commercially available antibiotic cement were eligible for inclusion (N = 251,506 patients). Data were linked to available Medicare claims to maximize revision outcomes. Demographics including age, sex, race/ethnicity, Charlson Comorbidity Index (CCI), preoperative inflammatory arthritis, region, and body mass index (BMI) class were recorded. Cox proportional hazards regression analysis was used to evaluate the association between the two outcome measures and ALBC usage. RESULTS: Patients undergoing cemented TKA with ALBC were more likely to be Non-Hispanic Black ( P < 0.001), have a CCI of 2 or 3 ( P < 0.001), reside in the South ( P < 0.001), and had a higher mean BMI ( P < 0.001). In the regression models, ALBC usage was associated with increased risk of 90-day revision for PJI (hazards ratio 2.175 [95% confidence interval] 1.698 to 2.787) ( P < 0.001) and was not associated with 90-day all-cause readmissions. Male sex, higher CCI, and BMI >35 were all independently associated with 90-day revision for PJI. DISCUSSION: The use of commercial ALBC in patients older than 65 years for primary TKA in the AJRR was not closely associated with underlying comorbidities suggesting that hospital-level and surgeon-level factors influence its use. In addition, ALBC use did not decrease the risk of 90-day revision for PJI and was not associated with 90-day readmission rates.

Is Morbid Obesity a Modifiable Risk Factor in Patients Who Have Severe Knee Osteoarthritis and do Not Have a Formal Perioperative Optimization Program?

BACKGROUND: Obesity is considered a modifiable risk factor prior to total knee arthroplasty (TKA); however, little data support this hypothesis. Our purpose was to evaluate patients who have a body mass index (BMI) >40 presenting for TKA to determine the incidence of: (1) patients who achieved successful weight loss through nutritional modification or bariatric surgery and (2) patients who underwent TKA over the study period without the presence of a formal optimization program. METHODS: This was a retrospective, single-center analysis. Inclusion criteria included: Kellgren and Lawrence grade 3 or 4 knee osteoarthritis, BMI >40 at presentation, and minimum 1-year follow-up (mean 45 months) (N = 624 patients). Demographics, weight loss interventions, pursuit of TKA, maximum BMI change, and Patient-Reported Outcomes Measurement Information System scores were collected. Multivariable logistic and linear regressions evaluated associations of underlying demographic and treatment characteristics with outcomes. RESULTS: There were 11% of patients who ended up pursuing TKA over the study period. Bariatric surgery was 3.7 times more likely to decrease BMI by minimum 10 compared to nonsurgical intervention (95% confidence interval [CI] [1.7, 8.1]; P = .001). Bariatric surgery resulted in mean BMI change of -3.3 (range, 0 to 22) compared to nonsurgical interventions (-2.6 [range, 0 to 12]) and no intervention (0.4 [range, 0 to 15]; P < .0001). Bariatric surgery patients were 3.1 times more likely to undergo TKA (95% CI [1.3, 7.1]; P = .008), and nonsurgical interventions were 2.4 times more likely to undergo TKA (95% CI [1.3, 4.5]; P = .006) compared to no intervention. Non-White patients across all interventions were less likely to experience loss >5 BMI compared to White patients (95% CI [0.2, 0.9]; P = .018). CONCLUSIONS: Most patients were unable to reduce BMI more than 5 to 10 over a mean 4-year period without a formal weight optimization program. Utilization of bariatric surgery was most successful compared to nonsurgical interventions, although ultimate pursuit of TKA remained low in all cohorts.

Comparable performance of machine learning algorithms in predicting readmission and complications following total joint arthroplasty with external validation.

BACKGROUND: The purpose of the study was to use Machine Learning (ML) to construct a risk calculator for patients who undergo Total Joint Arthroplasty (TJA) on the basis of New York State Statewide Planning and Research Cooperative System (SPARCS) data and externally validate the calculator on a single TJA center. METHODS: Seven ML algorithms, i.e., logistic regression, adaptive boosting, gradient boosting (Xg Boost), random forest (RF) classifier, support vector machine, and single and a five-layered neural network were trained on the derivation cohort. Models were trained on 68% of data, validated on 15%, tested on 15%, and externally validated on 2% of the data from a single arthroplasty center. RESULTS: Validation of the models showed that the RF classifier performed best in terms of 30-d mortality AUROC (Area Under the Receiver Operating Characteristic) 0.78, 30-d readmission (AUROC 0.61) and 90-d composite complications (AUROC 0.73) amongst the test set. Additionally, Xg Boost was found to be the best predicting model for 90-d readmission and 90-d composite complications (AUC 0.73). External validation demonstrated that models achieved similar AUROCs to the test set although variation occurred in top model performance for 90-d composite complications and readmissions between our test and external validation set. CONCLUSION: This was the first study to investigate the use of ML to create a predictive risk calculator from state-wide data and then externally validate it with data from a single arthroplasty center. Discrimination between best performing ML models and between the test set and the external validation set are comparable. LEVEL OF EVIDENCE: III.

Incidence and Risk Factors for Revision Within 1 Year of Primary Carpal Tunnel Release.

BACKGROUND: The annual volume of carpal tunnel release (CTR) in the United States has been estimated to be 577 000 per year. Our objectives were to evaluate the incidence and risk factors for revision CTR within 1 year of primary CTR. METHODS: We identified all adult patients undergoing primary CTR from October 2015 to September 2019 in the New York Statewide Planning and Research Cooperative System database using Current Procedural Terminology (CPT) codes. We used the CPT modifier codes to determine laterality of index and revision procedures. We estimated multivariable hierarchical logistic regression models to evaluate risk factors for revision CTR within 1 year. RESULTS: Of the 80 423 primary CTR procedures, 178 (0.22%) underwent a revision CTR within 1 year of the index surgery. The mean (SD) age of the entire cohort was 58.69 (14.43) years, 61.1% were women, 73.2% were non-Hispanic white, 42.9% were covered through private insurance, and 9.5% had diabetes mellitus. Workers' compensation insurance (odds ratio [OR] = 1.83, 95% confidence interval [CI], 1.13-2.98, P = .02) and simultaneous bilateral CTR (OR = 14.91, 95% CI, 9.62-23.12, P < .001) were associated with revision CTR within 1 year of the index procedure. No models demonstrated an association between endoscopic technique or surgeon volume and revision CTR. CONCLUSIONS: The incidence of revision CTR within 1 year was lower than that previously reported. Patients covered by workers' compensation and those undergoing simultaneous bilateral CTR had higher likelihood of a revision CTR within 1 year, whereas endoscopic technique and surgeon volume were not associated with revision CTR within 1 year.

Association of Total Knee Replacement Removal From the Inpatient-Only List With Outpatient Surgery Utilization and Outcomes in Medicare Patients.

Importance: Little is known about the association of total knee replacement (TKR) removal from the Medicare inpatient-only (IPO) list in 2018 with outcomes in Medicare patients. Objective: To evaluate (1) patient factors associated with outpatient TKR use and (2) whether the IPO policy was associated with changes in postoperative outcomes for patients undergoing TKR. Design, Setting, and Participants: This cohort study included data from administrative claims from the New York Statewide Planning and Research Cooperative System. Included patients were Medicare fee-for-service beneficiaries undergoing TKRs or total hip replacements (THRs) in New York State from 2016 to 2019. Multivariable generalized linear mixed models were used to identify patient factors associated with outpatient TKR use, and with a difference-in-differences strategy to examine association of the IPO policy with post-TKR outcomes relative to post-THR outcomes in Medicare patients. Data analysis was performed from 2021 to 2022. Exposures: IPO policy implementation in 2018. Main Outcomes and Measures: Use of outpatient or inpatient TKR; secondary outcomes included 30-day and 90-day readmissions, 30-day and 90-day postoperative emergency department visits, non-home discharge, and total cost of the surgical encounter. Results: A total of 37 588 TKR procedures were performed on 18 819 patients from 2016 to 2019, with 1684 outpatient TKR procedures from 2018 to 2019 (mean [SD] age, 73.8 [5.9] years; 12 240 female [65.0%]; 823 Hispanic [4.4%], 982 non-Hispanic Black [5.2%], 15 714 non-Hispanic White [83.5%]). Older (eg, age 75 years vs 65 years: adjusted difference, -1.65%; 95% CI, -2.31% to -0.99%), Black (-1.44%; 95% CI, -2.81% to -0.07%), and female patients (-0.91%; 95% CI, -1.52% to -0.29%), as well as patients treated in safety-net hospitals (disproportionate share hospital payments quartile 4: -18.09%; 95% CI, -31.81% to -4.36%), were less likely to undergo outpatient TKR. After IPO policy implementation in the TKR cohort, there were lower adjusted 30-day readmissions (adjusted difference [AD], -2.11%; 95% CI, -2.73% to -1.48%; P < .001), 90-day readmissions ( -3.23%; 95% CI, -4.04% to -2.42%; P < .001), 30-day ED visits ( -2.45%; 95% CI, -3.17% to -1.72%; P < .001), 90-day ED visits (-4.01%; 95% CI, -4.91% to -3.11%; P < .001) and higher cost per encounter ($2988; 95% CI, $415 to $5561; P = .03). However, these changes did not differ from changes in the THR cohort except for increased TKR cost of $770 per encounter ($770; 95% CI, $83 to $1457; P = .03) relative to THR. Conclusions and Relevance: In this cohort study of patients undergoing TKR and THR, we found that older, Black, and female patients and patients treated in safety-net hospitals may have had lesser access to outpatient TKRs highlighting concerns of disparities. IPO policy was not associated with changes in overall health care use or outcomes after TKR, except for an increase of $770 per TKR encounter.

Disparities in the Epidemiology and Management of Fragility Hip Fractures.

PURPOSE OF REVIEW: The purpose of this review is to synthesize the recently published scientific evidence on disparities in epidemiology and management of fragility hip fractures. RECENT FINDINGS: There have been a number of investigations focusing on the presence of disparities in the epidemiology and management of fragility hip fractures. Race-, sex-, geographic-, socioeconomic-, and comorbidity-based disparities have been the primary focus of these investigations. Comparatively fewer studies have focused on why these disparities may exist and interventions to reduce disparities. There are widespread and profound disparities in the epidemiology and management of fragility hip fractures. More studies are needed to understand why these disparities exist and how they can be addressed.

What Factors Are Associated With Revision Cubital Tunnel Release Within 3 Years?

BACKGROUND: It has been shown that patient demographics such as age, payer factors such as insurance type, clinical characteristics such as preoperative opioid use, and disease grade but not surgical procedure are associated with revision surgery to treat cubital tunnel syndrome. However, prior studies evaluating factors associated with revision surgery after primary cubital tunnel release have been relatively small and have involved patients from a single institution or included only a single payer. QUESTIONS/PURPOSES: (1) What percentage of patients who underwent cubital tunnel release underwent revision within 3 years? (2) What factors are associated with revision cubital tunnel release within 3 years of primary cubital tunnel release? METHODS: We identified all adult patients who underwent primary cubital tunnel release from January 1, 2011, to December 31, 2017, in the New York Statewide Planning and Research Cooperative System database using Current Procedural Terminology codes. We chose this database because it includes all payers and nearly all facilities in a large geographic area where cubital tunnel release may be performed. We used Current Procedural Terminology modifier codes to determine the laterality of primary and revision procedures. The mean age of the cohort overall was 53 ± 14 years, 43% (8490 of 19,683) were women, and 73% (14,308 of 19,683) were non-Hispanic White. The Statewide Planning and Research Cooperative System database organization does not include a listing of all state residents and thus does not allow for censoring of patients who move out of state. All patients were followed for 3 years. We developed a multivariable hierarchical logistic regression model to model factors independently associated with revision cubital tunnel release within 3 years. Key explanatory variables included age, gender, race or ethnicity, insurance, patient residential location, medical comorbidities, concomitant procedures, whether the procedure was unilateral or bilateral, and year. The model also controlled for facility-level random effects to account for the clustering of observations among these entities. RESULTS: The risk of revision cubital tunnel release within 3 years of the primary procedure was 0.7% (141 of 19,683). The median time to revision cubital tunnel release was 448 days (interquartile range 210 to 861 days). After controlling for patient-level covariates and facility random effects, and compared with their respective counterparts, the odds of revision surgery were higher for patients with workers compensation insurance (odds ratio 2.14 [95% confidence interval 1.38 to 3.32]; p < 0.001), a simultaneous bilateral index procedure (OR 12.26 [95% CI 5.93 to 25.32]; p < 0.001), and those who underwent submuscular transposition of the ulnar nerve (OR 2.82 [95% CI 1.35 to 5.89]; p = 0.006). The odds of revision surgery were lower with increasing age (OR 0.79 per 10 years [95% CI 0.69 to 0.91]; p < 0.001) and a concomitant carpal tunnel release (OR 0.66 [95% CI 0.44 to 0.98]; p = 0.04). CONCLUSION: The risk of revision cubital tunnel release was low. Surgeons should be cautious when performing simultaneous bilateral cubital tunnel release and when performing submuscular transposition in the setting of primary cubital tunnel release. Patients with workers compensation insurance should be informed they are at increased odds for undergoing subsequent revision cubital tunnel release within 3 years. Future work may seek to better understand whether these same effects are seen in other populations. Future work might also evaluate how these and other factors such as disease severity could affect functional outcomes and the trajectory of recovery. LEVEL OF EVIDENCE: Level III, therapeutic study.

Clinical Improvement Following Operative Management of Ankle Fractures Among Patients With and Without Moderate to High Depressive Symptoms: An Analysis Using PROMIS.

Background: Understanding the recovery trajectory following operative management of ankle fractures can help surgeons guide patient expectations. Further, it is beneficial to consider the impact of mental health on the recovery trajectory. Our study aimed to address the paucity of literature focused on understanding the recovery trajectory following surgery for ankle fractures, including in patients with depressive symptoms. Methods: From February 2015 to March 2020, patients with isolated ankle fractures were asked to complete Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF), Pain Interference (PI), and Depression questionnaires as part of routine care at presentation and follow-up time points. Linear mixed effects regression models were used to evaluate the patient recovery pattern, comparing the preoperative time point to <3 months, 3-6 months, and >6 months across all patients. Additional models that included the presence of depression symptoms as a covariate were then used. Results: A total of 153 patients met inclusion criteria. By 3-6 months, PROMIS PF (ß: 9.95, 95% CI: 7.97-11.94, P < .001), PI (ß: -10.30, 95% CI: -11.87 to -8.72, P < .001), and Depression (ß: -5.60, 95% CI: -7.01 to -4.20, P < .001) improved relative to the preoperative time point. This level of recovery was sustained thereafter. When incorporating depressive symptoms into our model as a covariate, the moderate to high depressive symptoms were associated with significantly and clinically important worse PROMIS PF (ß: -4.00, 95% CI: -7.00 to -1.00, P = .01) and PI (ß: 3.16, 95% CI: -0.55 to 5.76, P = .02) scores. Conclusion: Following ankle fracture surgery, all patients tend to clinically improve by 3-6 months postoperatively and then continue to appreciate this clinical improvement. Although patients with moderate to high depressive symptoms also clinically improve following the same trajectory, they tend to do so to a lesser level than those who have low depressive symptoms. Level of Evidence: Level III, case-control study.

Association of Skilled Nursing Facility Participation in Voluntary Bundled Payments With Postacute Care Outcomes for Joint Replacement.

IMPORTANCE: The Medicare Bundled Payments for Care Improvement (BPCI) model 3 of 2013 holds participating skilled nursing facilities (SNFs) responsible for all episode costs. There is limited evidence regarding SNF-specific outcomes associated with BPCI. OBJECTIVE: To examine the association between SNF BPCI participation and patient outcomes and across-facility differences in these outcomes among Medicare beneficiaries undergoing lower extremity joint replacement (LEJR). DESIGN, SETTING, AND PARTICIPANTS: Observational difference-in-differences (DID) study of 2013-2017 for 330 unique persistent-participating SNFs, 146 unique dropout SNFs, and 14,028 unique eligible nonparticipating SNFs. MAIN OUTCOME MEASURES: Rehospitalization within 30 and 90 days after SNF admission, and rate of successful discharge from the SNF to the community. RESULTS: Total 636,355 SNF admissions after LEJR procedures were identified for 582,766 Medicare patients [mean (SD) age, 76.81 (9.26) y; 424,076 (72.77%) women]. The DID analysis showed that for persistent-enrollment SNFs, no BPCI-related changes were found in readmission and successful community discharge rates overall, but were found for their subgroups. Specifically, under BPCI, the 30-day readmission rate decreased by 2.19 percentage-points for White-serving SNFs in the persistent-participating group relative to those in the nonparticipating group, and by 1.75 percentage-points for non-Medicaid-dependent SNFs in the persistent-participating group relative to those in the nonparticipating group; and the rate of successful community discharge increased by 4.44 percentage-points for White-serving SNFs in the persistent-participating group relative to those in the nonparticipating group, whereas such relationship was not detected among non-White-serving SNFs, leading to increased between-facility differences (differential DID=-7.62). BPCI was not associated with readmission or successful community discharge rates for dropout SNFs, overall, or in subgroup analyses. CONCLUSIONS: Among Medicare patients receiving LEJR, BPCI was associated with improved outcomes for White-serving/non-Medicaid-dependent SNFs but not for other SNFs, which did not help reduce or could even worsen the between-facility differences.

Skilled Nursing Facility Participation in Bundled Payments Was Related to Small Increases in Nurse Staffing Levels.

Medicare implemented Bundled Payments for Care Improvement (BPCI) Model 3 in 2013, in which participating skilled nursing facilities (SNFs) were accountable for episode costs. We performed comparative interrupted time series analyses to evaluate associations between SNF BPCI participation and nurse staffing levels, using Medicare claims, resident assessments, and facility-level and market-level files of 2010-2017. For persistent-participating SNFs, BPCI was associated with improved certified nursing assistant (CNA) staffing levels (differential change = .03 hours, p = .025). However, BPCI was not related to changes in registered nurse (RN) and all licensed nurse hours, and nurse skill mix. Among drop-out SNFs, BPCI was associated with increased RN staffing levels (differential change = .02 hours, p = .009), leading to a higher nurse skill ratio (0.51 percentage points, p = .016) than control SNFs. Bundled payments for care improvement had no impact on CNA and all licensed nurse staffing levels. In conclusion, BPCI was associated with statistically significant but small increases in nurse staffing levels.

Association of Medicare Mandatory Bundled Payment Reform With Joint Replacement Surgery Use for Beneficiaries With Alzheimer Disease and Related Dementias.

Importance: Medicare beneficiaries with Alzheimer disease and related dementias (ADRD) are a particularly vulnerable group in whom arthritis is a frequently occurring comorbidity. Medicare's mandatory bundled payment reform-the Comprehensive Care for Joint Replacement (CJR) model-was intended to improve quality and reduce spending in beneficiaries undergoing joint replacement surgical procedures for arthritis. In the absence of adjustment for clinical risk, hospitals may avoid performing elective joint replacements for beneficiaries with ADRD. Objective: To evaluate the association of the CJR model with utilization of joint replacements for Medicare beneficiaries with ADRD. Design Setting and Participants: This cohort study used national Medicare data from 2013 to 2017 and multivariable linear probability models and a triple differences estimation approach. Medicare beneficiaries with a diagnosis of arthritis were identified from 67 metropolitan statistical areas (MSAs) mandated to participate in CJR and 104 control MSAs. Data were analyzed from July 2020 to July 2021. Exposures: Implementation of the CJR model in 2016. Main Outcomes and Measures: Outcomes were separate binary indicators for whether or not a beneficiary underwent hip or knee replacement. Key independent variables were the MSA group, before-CJR and after-CJR phase, ADRD diagnosis, and their interactions. The linear probability models controlled for beneficiary characteristics, MSA fixed effects, and time trends. Results: The study included 24 598 729 beneficiary-year observations for 9 624 461 unique beneficiaries, of which 250 168 beneficiaries underwent hip and 474 751 underwent knee replacements. The mean (SD) age of the 2013 cohort was 77.1 (7.9) years, 3 110 922 (66.4%) were women, 3 928 432 (83.8%) were non-Hispanic White, 792 707 (16.9%) were dually eligible for Medicaid, and 885 432 (18.9%) had an ADRD diagnosis. Before CJR implementation, joint replacement rates were lower among beneficiaries with ADRD (hip replacements: 0.38% vs 1.17% for beneficiaries with and without ADRD, respectively; P < .001; knee replacements: 0.70% vs 2.25%; P < .001). After controlling for relevant covariates, CJR was associated with a 0.07-percentage-point decline in hip replacements for beneficiaries with ADRD (95% CI, -0.13 to -0.001; P = .046) and a 0.07-percentage-point decline for beneficiaries without ADRD (95% CI, -0.12 to -0.02; P = .01) residing in CJR MSAs compared with beneficiaries in control MSAs. However, this change in hip replacement rates for beneficiaries with ADRD was not statistically significantly different from the change for beneficiaries without ADRD (percentage point difference: 0.01; 95% CI, -0.08 to 0.09; P = .88). No statistically significant changes in knee replacement rates were noted for beneficiaries with ADRD compared with those without ADRD with CJR implementation (percentage point difference: -0.03, 95% CI, -0.09 to 0.02; P = .27). Conclusions and Relevance: In this cohort study of Medicare beneficiaries with arthritis, the CJR model was not associated with a decline in joint replacement utilization among beneficiaries with ADRD compared with beneficiaries without ADRD in the first 2 years of the program, thereby alleviating patient selection concerns.

Association of Time Elapsed Since Ischemic Stroke With Risk of Recurrent Stroke in Older Patients Undergoing Elective Nonneurologic, Noncardiac Surgery.

Importance: Perioperative strokes are a major cause of death and disability. There is limited information on which to base decisions for how long to delay elective nonneurologic, noncardiac surgery in patients with a history of stroke. Objective: To examine whether an association exists between the time elapsed since an ischemic stroke and the risk of recurrent stroke in older patients undergoing elective nonneurologic, noncardiac surgery. Design, Setting, and Participants: This cohort study used data from the 100% Medicare Provider Analysis and Review files, including the Master Beneficiary Summary File, between 2011 and 2018 and included elective nonneurologic, noncardiac surgeries in patients 66 years or older. Patients were excluded if they had more than 1 procedure during a 30-day period, were transferred from another hospital or facility, were missing information on race and ethnicity, were admitted in December 2018, or had tracheostomies or gastrostomies. Data were analyzed May 7 to October 23, 2021. Exposures: Time interval between a previous hospital admission for acute ischemic stroke and surgery. Main Outcomes and Measures: Acute ischemic stroke during the index surgical admission or rehospitalization for stroke within 30 days of surgery, 30-day all-cause mortality, composite of stroke and mortality, and discharge to a nursing home or skilled nursing facility. Multivariable logistic regression models were used to estimate adjusted odds ratios (AORs) to quantify the association between outcome and time since ischemic stroke. Results: The final cohort included 5 841 539 patients who underwent elective nonneurologic, noncardiac surgeries (mean [SD] age, 74.1 [6.1] years; 3 371 329 [57.7%] women), of which 54 033 (0.9%) had a previous stroke. Patients with a stroke within 30 days before surgery had higher adjusted odds of perioperative stroke (AOR, 8.02; 95% CI, 6.37-10.10; P < .001) compared with patients without a previous stroke. The adjusted odds of stroke were not significantly different at an interval of 61 to 90 days between previous stroke and surgery (AOR, 5.01; 95% CI, 4.00-6.29; P < .001) compared with 181 to 360 days (AOR, 4.76; 95% CI, 4.26-5.32; P < .001). The adjusted odds of 30-day all-cause mortality were higher in patients who underwent surgery within 30 days of a previous stroke (AOR, 2.51; 95% CI, 1.99-3.16; P < .001) compared with those without a history of stroke, and the AOR decreased to 1.49 (95% CI, 1.15-1.92; P < .001) at 61 to 90 days from previous stroke to surgery but did not decline significantly, even after an interval of 360 or more days. Conclusions and Relevance: The findings of this cohort study suggest that, among patients undergoing nonneurologic, noncardiac surgery, the risk of stroke and death leveled off when more than 90 days elapsed between a previous stroke and elective surgery. These findings suggest that the recent scientific statement by the American Heart Association to delay elective nonneurologic, noncardiac surgery for at least 6 months after a recent stroke may be too conservative.

Does Hypothetical Centralization of Revision THA and TKA Exacerbate Existing Geographic or Demographic Disparities in Access to Care by Increased Patient Travel Distances or Times? A Large-database Study.

BACKGROUND: Higher hospital volume is associated with lower rates of adverse outcomes after revision total joint arthroplasty (TJA). Centralizing revision TJA care to higher-volume hospitals might reduce early complication and readmission rates after revision TJA; however, the effect of centralizing revision TJA care on patient populations who are more likely to experience challenges with access to care is unknown. QUESTIONS/PURPOSES: (1) Does a hypothetical policy of transferring patients undergoing revision TJA from lower-to higher-volume hospitals increase patient travel distance and time? (2) Does a hypothetical policy of transferring patients undergoing revision TJA from lower- to higher-volume hospitals disproportionately affect travel distance or time in low income, rural, or racial/ethnic minority populations? METHODS: Using the Medicare Severity Diagnosis Related Groups 466-468, we identified 37,147 patients with inpatient stays undergoing revision TJA from 2008 to 2016 in the Statewide Planning and Research Cooperative System administrative database for New York State. Revisions with missing or out-of-state patient identifiers (3474 of 37,147) or those associated with closed or merged facilities (180 of 37,147) were excluded. We chose this database for our study because of relative advantages to other available databases: comprehensive catchment of all surgical procedures in New York State, regardless of payer; each patient can be followed across episodes of care and hospitals in New York State; and New York State has an excellent cross-section of hospital types for TJA, including rural and urban hospitals, critical access hospitals, and some of the highest-volume centers for TJA in the United States. We divided hospitals into quartiles based on the mean revision TJA volume. Overall, 80% (118 of 147) of hospitals were not for profit, 18% (26 of 147) were government owned, 78% (115 of 147) were located in urban areas, and 48% (70 of 147) had fewer than 200 beds. The mean patient age was 66 years old, 59% (19,888 of 33,493) of patients were females, 79% (26,376 of 33,493) were white, 82% (27,410 of 33,493) were elective admissions, and 56% (18,656 of 33,493) of admissions were from government insurance. Three policy scenarios were evaluated: transferring patients from the lowest 25% by volume hospitals, transferring patients in the lowest 50% by volume hospitals, and transferring patients in the lowest 75% by volume hospitals to the nearest higher-volume institution by distance. Patients who changed hospitals and travelled more than 60 miles or longer than 60 minutes with consideration for average traffic patterns after the policy was enacted were considered adversely affected. The secondary outcome of interest was the impact of the three centralization policies, as defined above, on lower-income, nonwhite, rural versus urban counties, and Hispanic ethnicity. RESULTS: Transferring patients from the lowest 25% by volume hospitals resulted in only one patient stay that was affected by an increase in travel distance and travel time. Transferring patients from the lowest 50% by volume hospitals resulted in 9% (3050 of 33,493) of patients being transferred, with only 1% (312 of 33,493) of patients affected by either an increased travel distance or travel time. Transferring patients from the lowest 75% by volume hospitals resulted in 28% (9323 of 33,493) of patients being transferred, with 2% (814 of 33,493) of patients affected by either an increased travel distance or travel time. Nonwhite patients were less likely to encounter an increased travel distance or time after being transferred from the lowest 50% by volume hospitals (odds ratio 0.31 [95% CI 0.15 to 0.65]; p = 0.002) or being transferred from the lowest 75% by volume hospitals (OR 0.10 [95% CI 0.07 to 0.15]; p < 0.001) than white patients were. Hispanic patients were more likely to experience increased travel distance or time after being transferred from the lowest 50% by volume hospitals (OR 12.3 [95% CI 5.04 to 30.2]; p < 0.001) and being transferred from the lowest 75% by volume hospitals (OR 3.24 [95% CI 2.24 to 4.68]; p < 0.001) than non-Hispanic patients were. Patients from a county with a lower median income were more likely to experience increased travel distances or time after being transferred from the lowest 50% by volume hospitals (OR 69.5 [95% CI 17.0 to 283]; p < 0.001) and being transferred from the lowest 75% by volume hospitals (OR 3.86 [95% CI 3.21 to 4.64]; p < 0.001) than patients from counties with a higher median income. Patients from rural counties were more likely to be affected after being transferred from the lowest 50% by volume hospitals (OR 98 [95% CI 49.6 to 192.2]; p < 0.001) and being transferred from the lowest 75% by volume hospitals (OR 11.7 [95% CI 9.89 to 14.0]; p < 0.001) than patients from urban counties. CONCLUSION: Although centralizing revision TJA care to higher-volume institutions in New York State did not appear to increase the travel burden for most patients, policies that centralize revision TJA care will need to be carefully designed to minimize the disproportionate impact on patient populations that already face challenges with access to healthcare. Further studies should examine the feasibility of establishing centers of excellence designations for revision TJA, the effect of best practices adoption by lower volume institutions to improve revision TJA care, and the potential role of care-extending technology such as telemedicine to improve access to care to reduce the effects of travel distances on affected patient populations. LEVEL OF EVIDENCE: Level III, prognostic study.

Mismatch Between Pelvic Incidence and Lumbar Lordosis is the Key Sagittal Plane Determinant of Patient Outcome at Minimum 40 Years After Instrumented Fusion for Adolescent Idiopathic Scoliosis.

STUDY DESIGN: Retrospective review. OBJECTIVE: Assess measures of spinal-pelvic balance in predicting functional outcome in patients who underwent posterior spinal fusion for adolescent idiopathic scoliosis (AIS) at minimum 40-year follow-up. SUMMARY OF BACKGROUND DATA: Back pain and long-term function are considered when choosing levels for surgery in AIS patients. Three hundred and fourteen patients underwent fusion for AIS between 1961 and 1977. One hundred and thirty-four patients were located for potential long-term follow-up. METHODS: With Institutional Review Board approval, medical records and public resources were used to locate patients. Patients completed health-related quality of life (HRQoL) instruments, and returned for assessment including full radiographs. Radiographs were analyzed for scoliosis measures, and recognized spinal-pelvic measures including the lumbar lordosis, sagittal vertical axis (SVA), pelvic incidence, and pelvic tilt (PT). Bivariate and multivariable analyses were performed to assess the association between spinal-pelvic measures and patient-reported outcomes. RESULTS: Thirty-five of 134 patients agreed to return for complete HRQoL and radiographic follow-up. There were no differences at baseline between those agreeing and declining participation. The cohort was 94% female, had an average age of 60.5 years, and average follow-up of 46 years. In bivariate analysis, pelvic incidence and lumbar lordosis difference (PI-LL) was the only spinal-pelvic parameter which statistically discriminated between patients doing well and not, as assessed by the Oswestry Disability Index and the Patient-reported Outcomes Measurement Information System (PROMIS) Pain Interference and Fatigue instruments. In multivariable analysis, (PI-LL > 9°) was associated with worse scores in PROMIS-Pain Interference, Physical Function, Depression, Fatigue, Social Function and the total Oswestry score. An SVA > 50 mm was associated with worse scores in the Scoliosis Research Society-7. CONCLUSION: In a cohort of 35 patients with average follow-up of 46 years after posterior spinal instrumentation with Harrington rods (PSIF) for AIS, spinal-pelvic mismatch as identified by (PI-LL > 9°) was associated with inferior HRQoL outcomes. Other spinal-pelvic measures (SVA and PT) were not reliably associated with inferior HRQoL.Level of Evidence: 4.

Skilled Nursing Facility Participation in a Voluntary Medicare Bundled Payment Program: Association With Facility Financial Performance.

IMPORTANCE: Model 3 of the Bundled Payments for Care Improvement (BPCI) is an alternative payment model in which an entity takes accountability for the episode costs. It is unclear how BPCI affected the overall skilled nursing facility (SNF) financial performance and the differences between facilities with differing racial/ethnic and socioeconomic status (SES) composition of the residents. OBJECTIVE: The objective of this study was to determine associations between BPCI participation and SNF finances and across-facility differences in SNF financial performance. DESIGN, SETTING, AND PARTICIPANTS: A longitudinal study spanning 2010-2017, based on difference-in-differences analyses for 575 persistent-participation SNFs, 496 dropout SNFs, and 13,630 eligible nonparticipating SNFs. MAIN OUTCOME MEASURES: Inflation-adjusted operating expenses, revenues, profit, and profit margin. RESULTS: BPCI was associated with reductions of $0.63 million in operating expenses and $0.57 million in operating revenues for the persistent-participation group but had no impact on the dropout group compared with nonparticipating SNFs. Among persistent-participation SNFs, the BPCI-related declines were $0.74 million in operating expenses and $0.52 million in operating revenues for majority-serving SNFs; and $1.33 and $0.82 million in operating expenses and revenues, respectively, for non-Medicaid-dependent SNFs. The between-facility SES gaps in operating expenses were reduced (differential difference-in-differences estimate=$1.09 million). Among dropout SNFs, BPCI showed mixed effects on across-facility SES and racial/ethnic differences in operating expenses and revenues. The BPCI program showed no effect on operating profit measures. CONCLUSIONS: BPCI led to reduced operating expenses and revenues for SNFs that participated and remained in the program but had no effect on operating profit indicators and mixed effects on SES and racial/ethnic differences across SNFs.

Association Between the Physician Quality Score in the Merit-Based Incentive Payment System and Hospital Performance in Hospital Compare in the First Year of the Program.

Importance: The scientific validity of the Merit-Based Incentive Payment System (MIPS) quality score as a measure of hospital-level patient outcomes is unknown. Objective: To examine whether better physician performance on the MIPS quality score is associated with better hospital outcomes. Design, Setting, and Participants: This cross-sectional study of 38 830 physicians used data from the Centers for Medicare & Medicaid Services (CMS) Physician Compare (2017) merged with CMS Hospital Compare data. Data analysis was conducted from September to November 2020. Main Outcomes and Measures: Linear regression was used to examine the association between physician MIPS quality scores aggregated at the hospital level and hospitalwide measures of (1) postoperative complications, (2) failure to rescue, (3) individual postoperative complications, and (4) readmissions. Results: The study cohort of 38 830 clinicians (5198 [14.6%] women; 12 103 [31.6%] with 11-20 years in practice) included 6580 (17.2%) general surgeons, 8978 (23.4%) orthopedic surgeons, 1617 (4.2%) vascular surgeons, 582 (1.5%) cardiac surgeons, 904 (2.4%) thoracic surgeons, 18 149 (47.4%) anesthesiologists, and 1520 (4.0%) intensivists at 3055 hospitals. The MIPS quality score was not associated with the hospital composite rate of postoperative complications. MIPS quality scores for vascular surgeons in the 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.55-percentage point higher hospital rate of failure to rescue (95% CI, 0.06-1.04 percentage points; P = .03). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.41-percentage point higher hospital coronary artery bypass graft (CABG) mortality rate (95% CI, 0.10-0.71 percentage points; P = .01). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile and 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with 0.65-percentage point (95% CI, 0.013-1.16 percentage points; P = .02) and 0.48-percentage point (95% CI, 0.07-0.90 percentage points; P = .02) higher hospital CABG readmission rates, respectively. Conclusions and Relevance: In this study, better performance on the physician MIPS quality score was associated with better hospital surgical outcomes for some physician specialties during the first year of MIPS.