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.

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.

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.

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.

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.

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.

The Unequal Burden of COVID-19 Deaths in Counties With High Proportions of Black and Hispanic Residents.

BACKGROUND: Understanding the current burden of coronavirus disease 2019 (COVID-19) deaths in vulnerable populations will help inform efforts by policymakers to address disparities in COVID-19 outcomes. OBJECTIVE: The objective of this study was to examine the association between COVID-19 deaths and the county-level proportions of non-Hispanic Black and Hispanic residents. RESEARCH DESIGN AND METHODS: A retrospective study using COVID-19 mortality data from USA Facts linked to data from the US Census Bureau, the Health Resources & Services Administration Area Health Resources file, and the US Census Bureau. Negative binomial regression was used to estimate the association between the total county COVID-19 deaths during consecutive 30-day intervals and the proportion of non-Hispanic Blacks and Hispanic residents after adjusting for resident demographics, comorbidity burden, rurality, social determinants of health, and health care resources. RESULTS: In April, counties (n=179) with >40% Blacks had 6-fold higher death rates than counties (n=1521) with <2% Blacks [incident rate ratio (IRR)=6.58, 95% confidence interval (CI): 3.29-13.2, P<0.001]. These counties had higher death rates until October, but were no different than referent counties in November. In April, death rates in counties with >40% Hispanic residents were similar to death rates in counties with <2% Hispanic residents. Death rates in these counties peaked in August (IRR=3.14, 95% CI: 1.69-5.82, P<0.001) but were also no different than referent counties in November. These effects were robust after adjusting for county-level characteristics. Before August, death rates differed little by insurance status, but since then, counties with >15% uninsurance rates had up to 2-fold higher mortality rates (IRR=1.97, 95% CI: 1.19-3.27, P<0.001) than counties with <5% uninsurance rates. CONCLUSION: Counties with high concentrations of non-Hispanic Blacks were disproportionately affected by COVID-19 throughout most of the pandemic, but other social determinants of health such as health insurance are now playing a more prominent role than race and ethnicity.

Association of Mandatory Bundled Payments for Joint Replacement With Postacute Care Outcomes Among Medicare and Medicaid Dual Eligible Patients.

IMPORTANCE: The Medicare comprehensive care for joint replacement (CJR) model, a mandatory bundled payment program started in April 2016 for hospitals in randomly selected metropolitan statistical areas (MSAs), may help reduce postacute care (PAC) use and episode costs, but its impact on disparities between Medicaid and non-Medicaid beneficiaries is unknown. OBJECTIVE: To determine effects of the CJR program on differences (or disparities) in PAC use and outcomes by Medicare-Medicaid dual eligibility status. DESIGN, SETTING, AND PARTICIPANTS: Observational cohort study of 2013-2017, based on difference-in-differences (DID) analyses on Medicare data for 1,239,452 Medicare-only patients, 57,452 dual eligibles with full Medicaid benefits, and 50,189 dual eligibles with partial Medicaid benefits who underwent hip or knee surgery in hospitals of 75 CJR MSAs and 121 control MSAs. MAIN OUTCOME MEASURES: Risk-adjusted differences in rates of institutional PAC [skilled nursing facility (SNF), inpatient rehabilitation, or long-term hospital care] use and readmissions; and for the subgroup of patients discharged to SNF, risk-adjusted differences in SNF length of stay, payments, and quality measured by star ratings, rate of successful discharge to community, and rate of transition to long-stay nursing home resident. RESULTS: The CJR program was associated with reduced institutional PAC use and readmissions for patients in all 3 groups. For example, it was associated with reductions in 90-day readmission rate by 1.8 percentage point [DID estimate=-1.8; 95% confidence interval (CI), -2.6 to -0.9; P<0.001] for Medicare-only patients, by 1.6 percentage points (DID estimate=-1.6; 95% CI, -3.1 to -0.1; P=0.04) for full-benefit dual eligibles, and by 2.0 percentage points (DID estimate=-2.0; 95% CI, -3.6 to -0.4; P=0.01) for partial-benefit dual eligibles. These CJR-associated effects did not differ between dual eligibles (differences in above DID estimates=0.2; 95% CI, -1.4 to 1.7; P=0.81 for full-benefit patients; and -0.3; 95% CI, -1.9 to 1.3; P=0.74 for partial-benefit patients) and Medicare-only patients. Among patients discharged to SNF, the CJR program showed no effect on successful community discharge, transition to long-term care, or their persistent disparities. CONCLUSIONS: The CJR program did not help reduce persistent disparities in readmissions or SNF-specific outcomes related to Medicare-Medicaid dual eligibility, likely due to its lack of financial incentives for reduced disparities and improved SNF outcomes.

Early complications and reoperation rates are similar amongst open reduction internal fixation, intramedullary nail, and distal femoral replacement for periprosthetic distal femur fractures: a systematic review and meta-analysis.

BACKGROUND: Our purpose was to perform a systematic review and meta-analysis to evaluate complication and revision rates for periprosthetic distal femur fractures (PPDFF) treated with: (1) ORIF using periarticular locking plates (ORIF), (2) retrograde intramedullary nail (IMN), and (3) distal femoral replacement (DFR). METHODS: Systematic review of the literature was performed to identify eligible studies (N = 52). Identified treatment groups were: ORIF (N = 1205 cases), IMN (N = 272 cases), and DFR (N = 353 cases). Median follow-up was 30 months (range 6-96 months). Primary outcomes were: (1) major complication rates and (2) reoperation rates over the follow-up period. Secondary outcomes were incidence of deep infection, periprosthetic fracture, mortality over the follow-up period, 1-year mortality, non-union, malunion, delayed union, and hardware failure. Data for primary and secondary outcomes were pooled and unadjusted analysis was performed. Meta-analysis was performed on subset of individual studies comparing at least two of three treatment groups (N = 14 studies). Odds-ratios and their respective standard errors were determined for each treatment group combination. Maximum likelihood random effects meta-analysis was conducted for primary outcomes. RESULTS: From the systematic review, major complication rates (p = 0.55) and reoperation rates (p = 0.20) were not significantly different between the three treatment groups. DFR group had a higher incidence of deep infection relative to IMN and ORIF groups (p = 0.03). Malunion rates were higher in IMN versus ORIF (p = 0.02). For the meta-analysis, odds of major complications were not significantly different between IMN versus DFR (OR 1.39 [0.23-8.52]), IMN versus ORIF (OR 0.86 [0.48-1.53]), or the ORIF versus DFR (OR 0.91 [0.52-1.59]). Additionally, odds of a reoperation were not significantly different between IMN versus DFR (OR 0.59 [0.08-4.11]), IMN versus ORIF (OR 1.26 [0.66-2.40]), or ORIF versus DFR (OR 0.91 [0.51-1.55]). CONCLUSIONS: There was no difference in major complications or reoperations between the three treatment groups. Deep infection rates were higher in DFR relative to internal fixation, malunion rates were higher in IMN versus ORIF, and periprosthetic fracture rates were higher in DFR and IMN versus ORIF.

What Is the Association Between Hospital Volume and Complications After Revision Total Joint Arthroplasty: A Large-database Study.

BACKGROUND: Studies of primary total joint arthroplasty (TJA) show a correlation between hospital volume and outcomes; however, the relationship of volume to outcomes in revision TJA is not well studied. QUESTIONS/PURPOSES: We therefore asked: (1) Are 90-day readmissions more likely at low-volume hospitals relative to high-volume hospitals after revision THA and TKA? (2) Are in-hospital and 90-day complications more likely at low-volume hospitals relative to high-volume hospitals after revision THA and TKA? (3) Are 30-day mortality rates higher at low-volume hospitals relative to high-volume hospitals after revision THA and TKA? METHODS: Using 29,948 inpatient stays undergoing revision TJA from 2008 to 2014 in the Statewide Planning and Research Cooperative System (SPARCS) database for New York State, we examined the relationship of hospital revision volume by quartile and outcomes. The top 5 percentile of hospitals was included as a separate cohort. Advantages of the SPARCS database include comprehensive catchment of all cases regardless of payer, and the ability to track each patient across hospital admissions at different institutions within the state. The outcomes of interest included 90-day all-cause readmission rates and 30- and 90-day reoperation rates, postoperative complication rates, and 30-day mortality rates. The initial cohort that met the MS-DRG and ICD-9 criteria consisted of 30,354 inpatient stays for revision hip or knee replacements. Exclusions included patients with a missing patient identifier (n = 221), missing admission or discharge dates (n = 5), and stays from hospitals that were closed during the study period (n = 180). Our final analytic cohort comprised 29,948 inpatient stays for revision hip and knee replacements from 25,977 patients who had nonmissing data points for the variables of interest. Outcomes were adjusted for underlying hospital, surgeon, and patient confounding variables. The analytic cohort included observations from 25,977 patients, 138 hospitals, 929 surgeons, 14,130 revision THAs, 11,847 revision TKAs, 15,341 female patients (59% of cohort). RESULTS: Patients had lower all-cause 90-day readmission rates in the highest 5th percentile by volume hospitals relative to all other lower hospital volume categories. Reoperation rates within the first 90 days, however, were not different among volume categories. All-cause 90-day readmissions were higher in the quartile 4 hospitals excluding the top 5th percentile (17%) versus the top 5th percentile by volume hospitals (12%) (odds ratio [OR]: 1.3; 95% confidence interval [CI], 1.0-1.5; p = 0.030). All-cause 90-day readmissions were higher in the quartile 3 hospitals (18%) relative to the top 5 percentile by volume hospitals (12%) (OR: 1.5; 95% CI, 1.2-1.9; p < 0.001). All-cause 90-day readmissions were higher in quartile 2 hospitals (18%) relative to the top 5 percentile by volume hospitals (12%) (OR: 1.4; 95% CI, 1.1-1.8; p = 0.010). All-cause 90-day readmissions were higher in quartile 1 hospitals (21%) versus the top 5 percentile by volume hospitals (12%) (OR: 1.6; 95% CI, 1.1-2.3; p = 0.010). Postoperative complication rates were higher among only the quartile 1 hospitals compared with institutions in each higher-volume category after revision TJA. The odds of 90-day complications compared with quartile 1 hospitals were 0.49 (95% CI, 0.33-0.72; p = 0.010) for quartile 2, 0.60 (95% CI, 0.40-0.88; p = 0.010) for quartile 3, 0.43 (95% CI, 0.28-0.64; p = 0.010) for quartile 4 excluding top 5 percentile, and 0.36 (95% CI, 0.22-0.59; p = 0.010) for the top 5 percentile of hospitals. There does not appear to be an association between 30-day mortality rates and hospital volume in revision TJA. The odds of 30-day mortality compared with quartile 1 hospitals were 0.54 (95% CI, 0.20-1.46; p = 0.220) for quartile 2, 0.75 (95% CI, 0.30-1.91; p = 0.550) for quartile 3, 0.57 (95% CI, 0.22-1.49; p = 0.250) for quartile 4 excluding top 5 percentile, and 0.61 (95% CI, 0.20-1.81; p = 0.370) for the top 5 percentile of hospitals. CONCLUSIONS: These findings suggest that regionalizing revision TJA services, or concentrating surgical procedures in higher-volume hospitals, may reduce early complications rates and 90-day readmission rates. Disadvantages of regionalization include reduced access to care, increased patient travel distances, and possible capacity issues at receiving centers. Further studies are needed to evaluate the benefits and negative consequences of regionalizing revision TJA services to higher-volume revision TJA institutions. LEVEL OF EVIDENCE: Level III, therapeutic study.

Greater Reductions in Readmission Rates Achieved by Urban Hospitals Participating in the Medicare Shared Savings Program.

BACKGROUND: Accountable Care Organizations in the Medicare Shared Savings Program (MSSP) have financial incentives to reduce the cost and improve the quality of care delivered to Medicare beneficiaries that they serve. However, previous research about the impact of the MSSP on readmissions is limited and mixed. OBJECTIVE: To examine the association between hospital participation in the MSSP during the 2012-2013 period and reductions in 30-day risk-standardized readmission rates for Medicare patients initially admitted for acute myocardial infarction, heart failure (HF), pneumonia, or any cause. RESEARCH DESIGN: Difference-in-differences estimation to compare the change in readmission rates for hospitals participating in the MSSP with that of other hospitals. SUBJECTS: Acute care hospitals that either participated in the MSSP or did not participate in any of Medicare Accountable Care Organization programs (for acute myocardial infarction, n=1631; for HF, n=1889; for pneumonia, n=1896; for any cause, n=2067). RESULTS: Compared with nonparticipating hospitals, MSSP-participating hospitals showed greater reductions in readmission rates for Medicare patients originally admitted for HF by 0.47 percentage points [95% confidence interval (CI), -0.76 to -0.17] and for pneumonia by 0.26 percentage points (95% CI, -0.49 to -0.03). MSSP-participating hospitals also showed more reductions in hospital-wide all-cause readmission by 0.10 percentage points (95% CI, -0.20 to 0.01), relative to nonparticipating hospitals during the first year of MSSP. CONCLUSIONS: MSSP-participating hospitals showed slightly greater reductions in readmissions during postimplementation years for Medicare patients initially admitted for HF or pneumonia, compared with other hospitals.

Impact of Medicare's Nonpayment Program on Hospital-acquired Conditions.

BACKGROUND: Medicare's Nonpayment Program of 2008 (hereafter called Program) withholds hospital reimbursement for costs related to hospital-acquired conditions (HACs). Little is known whether a hospital's Medicare patient load [quantified by the hospital's Medicare utilization ratio (MUR), which is the proportion of inpatient days financed by Medicare] influences its response to the Program. OBJECTIVE: To determine whether the Program was associated with changes in HAC incidence, and whether this association varies across hospitals with differential Medicare patient load. RESEARCH DESIGN: Quasi-experimental study using difference-in-differences estimation. Incidence of HACs before and after Program implementation was compared across hospital MUR quartiles. SUBJECTS: A total of 867,584 elderly Medicare stays for acute myocardial infarction, congestive heart failure, pneumonia, and stroke that were discharged from 159 New York State hospitals from 2005 to 2012. MEASURES: For descriptive analysis, hospital-level mean HAC rates by month, MUR quartile, and Program phase are reported. For multivariate analysis, primary outcome is incidence of the any-or-none indicator for occurrence of at least 1 of 6 HACs. Secondary outcomes are the incidence of each HAC. RESULTS: The Program was associated with decline in incidence of (i) any-or-none indicator among MUR quartile 2 hospitals (conditional odds ratio=0.57; 95% confidence interval, 0.38-0.87), and (ii) catheter-associated urinary tract infections among MUR quartile 3 hospitals (conditional odds ratio=0.30; 95% confidence interval, 0.12-0.75) as compared with MUR quartile 1 hospitals. Significant declines in certain HACs were noted in the stratified analysis. CONCLUSIONS: The Program was associated with decline in incidence of selected HACs, and this decline was variably greater among hospitals with higher MUR.

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.

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.

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.