Value-Based Care Has Not Resulted in Biased Patient Selection: Analysis of a Single Center's Experience in the Care for Joint Replacement Bundle

Hospital response to a new case-based payment system in China: the patient selection effect

Providers have intended and unintended responses to payment reforms, such as China's new case-based payment system, i.e. Diagnosis-Intervention Packet (DIP) under global budget, that classified patients based on the combination of principal diagnosis and procedures. Our study explores the impact of DIP payment reform on hospital selection of patients undergoing total hip/knee arthroplasty (THA/TKA) or with arteriosclerotic heart disease (AHD) from July 2017 to June 2021 in a large city. We used a difference-in-differences approach to compare the changes in patient age, severity reflected by the Charlson Comorbidity Index (CCI), and a measure of treatment intensity [relative weight (RW)] in hospitals that were and were not subject to DIP incentives before and after the DIP payment reform in July 2019. Compared with non-DIP pilot hospitals, trends in patient age after the DIP reform were similar for DIP and non-DIP hospitals for both conditions, while differences in patient severity grew because severity in DIP hospitals increased more for THA/TKA (P = 0.036) or dropped in non-DIP hospitals for AHD (P = 0.011) following DIP reform. Treatment intensity (measured via RWs) for AHD patients in DIP hospitals increased 5.5% (P = 0.015) more than in non-DIP hospitals after payment reform, but treatment intensity trends were similar for THA/TKA patients in DIP and non-DIP hospitals. When the DIP payment reform in China was introduced just prior to the pandemic, hospitals subject to this reform responded by admitting sicker patients and providing more treatment intensity to their AHD patients. Policymakers need to balance between cost containment and the unintended consequences of prospective payment systems, and the DIP payment could also be a new alternative payment system for other countries.

Metrics for Monitoring Preoperative Optimization Programs for Total Joint Arthroplasty: A Survey of Orthopaedic Nurses

Preoperative optimization programs are becoming more common for patients seeking total joint arthroplasty; yet, limited research has been conducted to monitor the long-term effects of these programs on patient outcomes. Our aim was to develop a set of metrics that programs can use to monitor the success of preoperative optimization programs. As part of a larger survey of orthopaedic nurses, we collected data regarding current monitoring techniques for preoperative optimization programs and the feasibility of collecting specific variables. Surgical factors such as length of stay and 30-day readmissions were most often used to monitor the success of preoperative optimization programs. Surgical factors were the most likely to be accessible using the electronic medical record. Surgical factors and patient characteristics are the most feasible components for programs to monitor in order to track the outcomes of patients participating in preoperative optimization programs.

Orthopaedic Nurse Navigator Involvement in Preoperative Optimization for Total Joint Arthroplasty

Patients seeking total joint arthroplasty frequently undergo preoperative optimization with the assistance of nurse navigators to facilitate interactions between patients, consulting services, and the orthopaedic surgical team. Given the enormous impact nurse navigator programs have on reducing postoperative complications, our aim is to characterize the involvement of nurse navigators in preoperative optimization programs across the country. We conducted a survey of nurse navigators identified through the National Association of Orthopaedic Nurses to assess the involvement of nurse navigators in the preoperative optimization process. Sixty-seven percent of responding nurse navigators were involved in preoperative optimization, including components such as heart disease (53%) and poorly controlled diabetes (52%). Orthopaedic nurse navigators are commonly involved in preoperative optimization programs for total joint arthroplasty but most of these involve gated yes/no checklists with limited established referral care pathways. Only some of the programs include standardized referrals for specific medical comorbidities.

Preoperative Risk Management Programs at the Top 50 Orthopaedic Institutions Frequently Enforce Strict Cutoffs for BMI and Hemoglobin A1c Which May Limit Access to Total Joint Arthroplasty and Provide Limited Resources for Smoking Cessation and Dental Care

BACKGROUND

Performing elective orthopaedic surgery on patients with high BMI, poorly controlled hyperglycemia, and who use tobacco can lead to serious complications. Some surgeons use cutoffs for BMI, hemoglobin A1c, and cigarette smoking to limit surgery to patients with lower risk profiles rather than engaging in shared decision-making with patients about those factors. Other studies have suggested this practice may discriminate against people of lower income levels and women. However, the extent to which this practice approach is used by orthopaedic surgeons at leading hospitals is unknown.

QUESTIONS/PURPOSES

(1) How often are preoperative cutoffs for hemoglobin A1c and BMI used at the top US orthopaedic institutions? (2) What services are available at the top orthopaedic institutions for weight loss, smoking cessation, and dental care? (3) What proportion of hospital-provided weight loss clinics, smoking cessation programs, and dental care clinics accept Medicaid insurance?

METHODS

To investigate preoperative cutoffs for hemoglobin A1c and BMI and patient access to nonorthopaedic specialists at the top orthopaedic hospitals in the United States, we collected data on the top 50 orthopaedic hospitals in the United States as ranked by the 2020 US News and World Report 's "Best Hospitals for Orthopedics" list. We used a surgeon-targeted email survey to ascertain information regarding the use of preoperative cutoffs for hemoglobin A1c and BMI and availability and insurance acceptance policies of weight loss and dental clinics. Surgeons were informed that the survey was designed to assess how their institution manages preoperative risk management. The survey was sent to one practicing arthroplasty surgeon, the chair of the arthroplasty service, or department chair, whenever possible, at the top 50 orthopaedic institutions. Reminder emails were sent periodically to encourage participation from nonresponding institutions. We received survey responses from 70% (35 of 50) of hospitals regarding the use of preoperative hemoglobin A1c and BMI cutoffs. There was no difference in the response rate based on hospital ranking or hospital region. Fewer responses were received regarding the availability and Medicaid acceptance of weight loss and dental clinics. We used a "secret shopper" methodology (defined as when a researcher calls a facility pretending to be a patient seeking care) to gather information from hospitals directly. The use of deception in this study was approved by our institution's institutional review board. We called the main telephone line at each institution and spoke with the telephone operator at each hospital asking standardized questions regarding the availability of medical or surgical weight loss clinics, smoking cessation programs, and dental clinics. When possible, researchers were referred directly to the relevant departments and asked phone receptionists if the clinic accepted Medicaid. We were able to contact every hospital using the main telephone number. Our first research question was answered using solely the surgeon survey responses. Our second and third research questions were addressed using a combination of the responses to the surgeon surveys and specific hospital telephone calls.

RESULTS

Preoperative hemoglobin A1c cutoffs were used at 77% (27 of 35) of responding institutions and preoperative BMI cutoffs were used at 54% (19 of 35) of responding institutions. In the secret shopper portion of our study, we found that almost all the institutions (98% [49 of 50]) had a medical weight loss clinic, surgical weight loss clinic, or combined program. Regarding smoking cessation, 52% (26 of 50) referred patients to a specific department in their institution and 18% (9 of 50) referred to a state-run smoking cessation hotline. Thirty percent (15 of 50) did not offer any internal resource or external referral for smoking cessation. Regarding dental care, 48% (24 of 50) of institutions had a dental clinic that performed presurgical check-ups and 46% (23 of 50) did not offer any internal resource or external referral for dental care. In the secret shopper portion of our study, for institutions that had internal resources, we found that 86% (42 of 49) of weight loss clinics, 88% (23 of 26) of smoking cessation programs, and 58% (14 of 24) of dental clinics accepted Medicaid insurance.

CONCLUSION

Proceeding with TJA may not be the best option for all patients; however, surgeons and patients should come to this consensus together after a thoughtful discussion of the risks and benefits for that particular patient. Future research should focus on how shared decision-making may influence patient satisfaction and a patient's ability to meet preoperative goals related to weight loss, glycemic control, smoking cessation, and dental care. Decision analyses or time trade-off analyses could be implemented in these studies to assess patients' tolerance for risk.

CLINICAL RELEVANCE

Orthopaedic surgeons should engage in shared decision-making with patients to develop realistic goals for weight loss, glycemic control, smoking cessation, and dental care that consider patient access to these services as well as the difficulties patients experience in losing weight, controlling blood glucose, and stopping smoking.

Unsupervised Home Exercises Versus Formal Physical Therapy After Primary Total Hip Arthroplasty: A Systematic Review

Historically, postoperative exercise and physical therapy (PT) have been viewed as crucial to a successful outcome following primary total hip arthroplasty (THA). This systematic review and meta-analysis aimed to assess differences in both short- and long-term objective and self-reported measures between primary THA patients with formal supervised physical therapy versus unsupervised home exercises after discharge. A search was conducted of six electronic databases from inception to December 14, 2020, for randomized controlled trials (RCTs) comparing changes from baseline in lower extremity strength (LES), aerobic capacity, and self-reported physical function and quality of life (QoL) between supervised and unsupervised physical therapy/exercise regimens following primary THA. Outcomes were separated into short-term (<6 months from surgery, closest to 3 months) and long-term (≥6 months from surgery, closest to 12 months) measures. Meta-analyses were performed when possible and reported in standardized mean differences (SMDs) with 95% confidence intervals (CI). Seven studies (N=398) were included for review. No significant differences were observed with regard to lower extremity strength (p=0.85), aerobic capacity (p=0.98), or short-term quality of life scores (p=0.18). Although patients in supervised physical therapy demonstrated improved short-term self-reported outcomes compared to those performing unsupervised exercises, this was represented by a small effect size (SMD 0.23 [95% CI, 0.02-0.44]; p=0.04). No differences were observed between groups regarding long-term lower extremity strength (p=0.24), physical outcome scores (p=0.37), or quality of life (p=0.14). The routine use of supervised physical therapy may not provide any clinically significant benefit over unsupervised exercises following primary THA. These results suggest that providers should reconsider the routine use of supervised physical therapy after discharge.

Identifying and Creating Value for Employed Arthroplasty Surgeons in an Era of Decreasing Reimbursement

Recent regulatory changes made by the Center for Medicare and Medicaid Services (CMS) will result in a 9% decrease in reimbursement for hip and knee replacements by the end of 2022. Combining this with CMS's recent removal of total knee and total hip arthroplasty from the inpatient-only list has begun to take effect on the bottom line for hospital systems, which now employ around 50% of the arthroplasty community. Employed joint replacement surgeons should continue to innovate and be leaders within their hospital systems in the outpatient and ambulatory surgery space to recoup lost value, increase autonomy, and should be compensated for this work. Employed arthroplasty surgeon leaders can better align goals with and control the narrative in the C-suite to redefine their value as the most consistent, dependable, and transparent department within a larger health system or corporate medical group.

Life After BPCI: High Quality Total Knee and Hip Arthroplasty Care Can Still Exist Outside of a Bundled Payment Program

BACKGROUND

Concerns regarding target price methodology and financial penalties have led to withdrawal from Medicare bundled payment programs for total hip (THA) and knee arthroplasty (TKA), despite its early successful results. The purpose of this study was to determine whether there was any difference in patient comorbidities and outcomes following our institution's exit from the Bundled Payments for Care Improvement - Advanced (BPCI-A).

METHODS

We reviewed consecutive 2,737 primary TKA and 2,009 primary THA patients following our withdraw from BPCI-A January 1, 2020-March 30, 2021 and compared them to 1,203 TKA and 1,088 THA patients from October 1, 2018-August 2, 2019 enrolled in BPCI-A. We compared patient demographics, comorbidities, discharge disposition, complications, and 90-day readmissions. Multivariate analysis was performed to identify if bundle participation was associated with complications or readmissions.

RESULTS

Post-bundle TKA had shorter length of stay (1.4 vs 1.8 days, P < .001). Both TKA and THA patients were significantly less likely to be discharged to a rehabilitation facility (5.6% vs 19.2%, P < .001 and 6.0% vs 10.0%, P < .001, respectively). Controlling for confounders, post-bundle TKA had lower complications (OR = 0.66, 95% CI 0.45-0.98, P = .037) but no difference in 90-day readmission (OR = 0.80, 95% CI 0.55-1.16, P = .224).

CONCLUSIONS

Since leaving BPCI-A, we have maintained high quality THA care and improved TKA care with reduced complications and length of stay under a fee-for-service model. Furthermore, we have lowered rehabilitation discharge for both TKA and THA patients. CMS should consider partnering with high performing institutions to develop new models for risk sharing.

Effects of Preoperative Carbohydrate-rich Drinks on Immediate Postoperative Outcomes in Total Knee Arthroplasty: A Randomized Controlled Trial

BACKGROUND

This study investigates the effects of preoperative carbohydrate-rich drinks on postoperative outcomes after primary total knee arthroplasty.

METHODS

We prospectively randomized 153 consecutive patients undergoing primary total knee arthroplasty at one institution. Patients were assigned to one of three groups: group A (50 patients) received a carbohydrate-rich drink; group B (51 patients) received a placebo drink; and group C (52 patients) did not receive a drink (control). All healthcare personnel and patients were blinded to group allocation. Controlling for demographics, we analyzed the rate of postoperative nausea and vomiting, length of stay, opiate consumption, pain scores, serum glucose, adverse events, and intraoperative and postoperative fluid intake.

RESULTS

Demographics and comorbidities were similar among the groups. There were no significant differences in surgical interventions or experience. Surgical fluid intake and total blood loss were similar among the three groups (P = 0.47, P = 0.23). Furthermore, acute postoperative outcomes (ie, pain, episodes of nausea, and length of stay) were similar across all three groups. There were no significant differences in adverse events between the three groups (P = 0.13). There was a significant difference in one-time postoperative bolus between the three groups (P = 0.02), but after multivariate analysis, it did not demonstrate significance. None of the intervention group were readmitted, whereas 5.9% and 11.5% were readmitted in the placebo and control groups, respectively (P = 0.047). The chance of 90-day readmission was reduced in group A compared with group C (odds ratio, 0.08; 95% confidence interval, 0.01 to 0.72; P = 0.02). There were no differences in other postoperative outcome measurements.

CONCLUSION

This randomized controlled trial demonstrated that preoperative carbohydrate loading does not improve immediate postoperative outcomes, such as nausea and vomiting; however, it demonstrated that consuming fluid preoperatively proved no increased risk of adverse outcomes and there was a trend toward decrease of one-time boluses postoperatively.

CLINICAL TRIALS REGISTRY

NCT03380754.

National Trends in Post-Acute Care Costs Following Total Hip Arthroplasty from 2010 through 2018

BACKGROUND

Post-acute care remains a target for episode-of-care cost reduction following total hip arthroplasty (THA). The introduction of bundled payment models in the United States in 2013 aligned incentives among providers to reduce post-acute care resource utilization. Institution-level studies have shown increased rates of home discharge with substantial cost savings after adoption of bundled payment models; however, national data have yet to be reported. The purpose of this study was to evaluate national trends in post-acute care utilization and costs following primary THA over the last decade.

METHODS

We reviewed the cases of 189,847 patients undergoing primary THA during 2010 through 2018 from the PearlDiver database. Annual trends in patient demographics, discharge disposition, and post-acute care resource utilization were evaluated. Post-acute care reimbursements were standardized to 2020 dollars and included outpatient visits, prescriptions, physical therapy, home health, inpatient rehabilitation, skilled nursing facilities, and any rehospitalizations or emergency department (ED) visits within 90 days of surgery.

RESULTS

From 2010 to 2018, the mean episode-of-care costs ($31,562 versus $24,188; p < 0.001) and overall post-acute care costs ($5,903 versus $3,485; p < 0.001) both declined. Post-acute care savings were primarily driven by reduced costs of skilled nursing facilities ($1,533 versus $627; p < 0.001), home health ($1,041 versus $763; p = 0.002), inpatient rehabilitation ($949 versus $552; p < 0.001), ED visits ($508 versus $102; p < 0.001), and rehospitalizations ($367 versus $179; p < 0.001). Post-acute care costs declined by $578 (p = 0.025) during 2010 to 2012, $768 (p = 0.038) during 2013 to 2015, and $884 (p = 0.020) during 2016 to 2018.

CONCLUSIONS

Over the last decade, the rate of home discharge after THA increased while rehospitalization and ED visit rates declined, resulting in a substantial decrease in total and post-acute care costs. Post-acute care costs declined most rapidly after the introduction of the new Medicare bundled payment programs in 2013 and 2016.

From Winners to Losers: The Methodology of Bundled Payments for Care Improvement Advanced Disincentivizes Participation in Bundled Payment Programs

BACKGROUND

The Bundled Payments for Care Improvement (BPCI) initiative improved quality and reduced costs following total hip (THA) and knee arthroplasty (TKA). In October 2018, the BPCI-Advanced program was implemented. The purpose of this study is to compare the quality metrics and performance between our institution's participation in the BPCI program with the BPCI-Advanced initiative.

METHODS

We reviewed a consecutive series of Medicare primary THA and TKA patients. Demographics, medical comorbidities, discharge disposition, readmission, and complication rates were compared between BPCI and BPCI-Advanced groups. Medicare claims data were used to compare episode-of-care costs, target price, and margin per patient between the cohorts.

RESULTS

Compared to BPCI patients (n = 9222), BPCI-Advanced patients (n = 2430) had lower rates of readmission (5.8% vs 3.8%, P = .001) and higher rate of discharge to home (72% vs 78%, P < .001) with similar rates of complications (4% vs 4%, P = .216). Medical comorbidities were similar between groups. BPCI-Advanced patients had higher episode-of-care costs ($22,044 vs $18,440, P < .001) and a higher mean target price ($21,154 vs $20,277, P < .001). BPCI-Advanced patients had a reduced per-patient margin compared to BPCI ($890 loss vs $1459 gain, P < .001), resulting in a $2,138,670 loss in the first three-quarters of program participation.

CONCLUSION

Despite marked improvements in quality metrics, our institution suffered a substantial loss through BPCI-Advanced secondary to methodological changes within the program, such as the exclusion of outpatient TKAs, facility-specific target pricing, and the elimination of different risk tracks for institutions. Medicare should consider adjustments to this program to keep surgeons participating in alternative payment models.

Can Prior Episode-of-Care Costs Predict the Future? Identifying High-Cost Outliers for Subsequent Total Hip and Knee Arthroplasty

BACKGROUND

It remains unknown if a patient's prior episode-of-care (EOC) costs for total hip (THA) or knee (TKA) arthroplasty procedure can be used to predict subsequent costs for future procedures. The purpose of this study is to evaluate whether there is a correlation between the EOC costs for a patient's index and subsequent THA or TKA.

METHODS

We reviewed a consecutive series of 11,599 THA and TKA Medicare patients from 2015 to 2019 and identified all patients who underwent a subsequent THA and TKA during the study period. We collected demographics, comorbidities, short-term outcomes, and 90-day EOC claims costs. A multivariate analysis was performed to identify whether prior high-EOC costs were predictive of high costs for the subsequent procedure.

RESULTS

Of the 774 patients (6.7%) who underwent a subsequent THA or TKA, there was no difference in readmissions (4% vs 5%, P = .70), rate of discharge to a skilled nursing facility (SNF) (15% vs 15%, P = .89), and mean costs ($18,534 vs $18,532, P = .99) between EOCs. High-cost patients for the initial TKA or THA were more likely to be high cost for subsequent procedure (odds ratio 14.33, P < .01). Repeat high-cost patients were more likely to discharge to an SNF for their first and second EOC compared to normative-cost patients (P < .01).

CONCLUSION

High-cost patients for their initial THA or TKA are likely to be high cost for a subsequent procedure, secondary to a high rate of SNF utilization. Efforts to reduce costs in repeat high-cost patients should focus on addressing post-operative needs pre-operatively to facilitate safe discharge home.

The Effect of Medicare's Bundled Payments for Care Initiative on Patient Risk Factors Prior to Total Knee Arthroplasty

BACKGROUND

Medicare's Bundled Payments for Care Initiative (BPCI) is a risk-sharing alternative payment model. There is a concern that BPCI providers may avoid operating on obese patients and active smokers to reduce costs. We sought to understand if increased focus on these patient factors has led to a change in patient demographics in Medicare-insured patients undergoing total knee arthroplasty (TKA).

METHODS

We retrospectively reviewed all patients who underwent TKA at an academic orthopedic specialty hospital between 1/1/13 and 8/31/19. Surgical date, insurance provider, BMI, and smoking status were collected. Patients were categorized as a current, former, or never smoker. Patients were categorized as obese if their BMI was >30 kg/m², morbidly obese if their BMI was >40 kg/m², and super obese if their BMI was >50 kg/m².

RESULTS

In total, 10,979 patients with complete insurance information were analyzed. There was no statistically significant change in the proportion of Medicare patients who were active smokers (4.34% in 2013, 4.85% in 2019, Pearson correlation coefficient = 0.6092, P = .146). The proportion of Medicare patients with BMI >30 kg/m² increased over the study period (35.84% in 2013, 55.77% in 2019, Pearson correlation coefficient = 0.8505, P = .015). When looking at patients with BMI >40 kg/m² and >50 kg/m², there was no significant change.

CONCLUSIONS

Despite concern that reimbursement payments could alter access to care for patients with certain risk factors, this study did not find a noticeable difference in the representation of patients with obesity and smoking status undergoing TKA following the installation of BPCI.

LEVEL OF EVIDENCE

III, retrospective observational analysis.

Risk Adjustment for Episode-of-Care Costs After Total Joint Arthroplasty: What is the Additional Cost of Individual Comorbidities and Demographics?

INTRODUCTION

Concerns exist regarding the lack of risk adjustment in alternative payment models for patients who may use more resources in an episode of care. The purpose of this study was to quantify the additional costs associated with individual medical comorbidities and demographic variables.

METHODS

We reviewed a consecutive series of primary total hip and knee arthroplasty patients at our institution from 2015 to 2016 using claims data from Medicare and a single private insurer. We collected demographic data and medical comorbidities for all patients. To control for confounding variables, we performed a stepwise multivariate regression to determine the independent effect of medical comorbidities and demographics on 90-day episode-of-care costs.

RESULTS

Six thousand five hundred thirty-seven consecutive patients were identified (4,835 Medicare and 1,702 private payer patients). The mean 90-day episode-of-care cost for Medicare and private payers was $19,555 and $30,020, respectively. Among Medicare patients, comorbidities that significantly increased episode-of-care costs included heart failure ($3,937, P < 0.001), stroke ($2,604, P = 0.002), renal disease ($2,479, P = 0.004), and diabetes ($1,368, P = 0.002). Demographics that significantly increased costs included age ($221 per year, P < 0.001), body mass index (BMI; $106 per point, P < 0.001), and unmarried marital status ($1896, P < 0.001). Among private payer patients, cardiac disease ($4,765, P = 0.001), BMI ($149 per point, P = 0.004) and age ($119 per year, P = 0.002) were associated with increased costs.

DISCUSSION

Providers participating in alternative payment models should be aware of factors (cardiac history, age, and elevated BMI) associated with increased costs. Further study is needed to determine whether risk adjustment in alternative payment models can prevent problems with access to care for these high-risk patients.

Are We at the Bottom? BPCI Programs Now Disincentivize Providers Who Maintain Quality Despite Caring for Increasingly Complex Patients

BACKGROUND

The Bundled Payments for Care Improvement (BPCI) initiative has been successful at reducing Medicare costs after total joint arthroplasty (TJA). Target pricing is based on each institution's historical performance and is periodically reset. The purpose of this study was to examine the performance of our BPCI program accounting for patient complexity, quality, and resource utilization.

METHODS

We reviewed a consecutive series of 9195 Medicare patients undergoing primary TJA from 2015 to 2018. Demographics, comorbidities, and readmissions by year were compared. We then examined 90-day episode-of-care costs, changes in target price, and financial margins during the duration of the BPCI program using Medicare claims data.

RESULTS

Patients undergoing TJA in 2018 had a higher prevalence of diabetes and cardiac disease (all P < .001) as compared with those in 2015. From 2015 to 2018, there was a decrease in the rate of discharge to rehabilitation facilities (23% vs 14%, P < .001) and length of stay (2.1 vs 1.7 days, P < .001) with no difference in readmissions (6% vs 6%, P = .945). There was a reduction in postacute care costs ($6076 vs $4,890, P < .001) and 90-day episode-of-care costs ($19,954 vs $18,449, P < .001). However, the target price also decreased ($22,280 vs $18,971, P < .001), and the per-patient margin diminished ($2683 vs $522, P < .001).

CONCLUSION

Surgeons have maintained quality of care at a reduced cost despite increasing patient complexity. The target price adjustments resulted in declining margins during the course of our BPCI experience. Policy makers should consider changes to target price methodology to encourage participation in these successful cost-saving programs.

A Case Complexity Modifier Is Warranted for Primary Total Knee Arthroplasty

BACKGROUND

The Center for Medicare and Medicaid Services is faced with a challenge of decreasing the cost of care for total knee arthroplasty (TKA) but must make efforts to prevent patient selection bias in the process. Currently, no appropriate modifier codes exist for primary TKA based on case complexity. We sought to determine differences in perioperative parameters for patients with complex primary TKA with the hypothesis that they would require increased cost of care, prolonged care times, and have worse postoperative outcome metrics.

METHODS

We performed a single-center retrospective review from 2015 to 2018 of all primary TKAs. Patient demographics, medial proximal tibial angle (mPTA), lateral distal femoral angle (lDFA), flexion contracture, cost of care, and early postoperative outcomes were collected. Complex patients were defined as those requiring stems or augments, and multivariable logistic regression analysis and propensity score matching were performed to evaluate perioperative outcomes.

RESULTS

About 1043 primary TKAs were studied, and 84 patients (8.3%) were deemed complex. For this cohort, surgery duration was greater (P < .001), cost of care higher (P < .001), and patients had a greater likelihood for 90-day hospital return. Deviation of mPTA and lDFA was significantly greater preoperatively before and after propensity score matching. Cut point analysis demonstrated that preoperative mPTA <83^o or >91^o, lDFA <84^o or >90^o, flexion contracture >10^o, and body mass index >35.7 were associated with complex procedures.

CONCLUSION

Complex primary TKA may be identifiable preoperatively and those cases associated with prolonged operative time, excess hospital cost of care, and increased 90-day hospital returns. This should be considered in future reimbursement models to prevent patient selection bias, and a complexity modifier is warranted.

A novel online calculator predicting short-term postoperative outcomes in patients with metastatic brain tumors

Purpose

Establishing predictors of hospital length of stay (LOS), discharge deposition, and total hospital charges is essential to providing high-quality, value-based care. Though previous research has investigated these outcomes for patients with metastatic brain tumors, there are currently no tools that synthesize such research findings and allow for prediction of these outcomes on a patient-by-patient basis. The present study sought to develop a prediction calculator that uses patient demographic and clinical information to predict extended hospital length of stay, non-routine discharge disposition, and high total hospital charges for patients with metastatic brain tumors.

Methods

Patients undergoing surgery for metastatic brain tumors at a single academic institution were analyzed (2017–2019). Multivariate logistic regression was used to identify independent predictors of extended LOS (> 7 days), non-routine discharge, and high total hospital charges (> $ 46,082.63). p < 0.05 was considered statistically significant. C-statistics and the Hosmer–Lemeshow test were used to assess model discrimination and calibration, respectively.

Results

A total of 235 patients were included in our analysis, with a mean age of 62.74 years. The majority of patients were female (52.3%) and Caucasian (76.6%). Our models predicting extended LOS, non-routine discharge, and high hospital charges had optimism-corrected c-statistics > 0.7, and all three models demonstrated adequate calibration (p > 0.05). The final models are available as an online calculator (https://neurooncsurgery.shinyapps.io/brain_mets_calculator/).

Conclusions

Our models predicting postoperative outcomes allow for individualized risk-estimation for patients following surgery for metastatic brain tumors. Our results may be useful in helping clinicians to provide resource-conscious, high-value care.

Disparities in Hip Arthroplasty Outcomes: Results of a Statewide Hospital Registry From 2016 to 2018

BACKGROUND

In November 2019, Centers for Medicare and Medicaid Services announced total hip arthroplasty (THA) will be removed from the inpatient-only list. This may lead to avoidance of patients who have prolonged hospitalizations and discharge to skilled nursing facilities or push providers to unsafely push patients to outpatient surgery centers. Disparities in hip arthroplasty may worsen as patients are "risk stratified" preoperatively to minimize cost outliers. We aimed to evaluate which patient characteristics are associated with extended length of stay (eLOS)-greater than 2 days-and nonhome discharge in patients undergoing hip arthroplasty.

METHODS

The Illinois COMPdata administrative database was queried for THA admissions from January 2016 to June 2018. Variables included age, sex, race and ethnicity, median household income, Illinois region, insurance status, principal diagnosis, Charlson comorbidity index, obesity, discharge disposition, and LOS. Hospital characteristics included bundled payment participation and arthroplasty volume. Using multiple Poisson regression, we examined the association between these factors and the likelihood of nonhome discharge and eLOS.

RESULTS

There were 41,832 THA admissions from January 2016 to June 2018. A total of 36% had LOS greater than 2 midnights and 25.3% of patients had nonhome discharges. Female patients, non-Hispanic black patients, patients older than 75, obese patients, Medicaid or uninsured status, Charlson comorbidity index > 3, and hip arthroplasty for fracture were associated with increased risk of eLOS and/or nonhome discharge (P < .05).

CONCLUSION

With the Centers for Medicare and Medicaid Services emphasis on cost containment, patients at risk of extended stay or nonhome discharge may be deemed "high risk" and have difficulty accessing arthroplasty care. These are potentially vulnerable groups during the transition to the bundled payment model.

Traditional Risk Factors and Logistic Regression Failed to Reliably Predict a "Bundle Buster" After Total Joint Arthroplasty

BACKGROUND

The purpose of this study was to determine if we could identify patient factors that were predictive of Medicare and privately insured patients being "high-cost."

METHODS

Ninety-day episode-of-care insurance company payments along with collected demographics, comorbidities, and readmissions were reviewed for a consecutive series of primary total joint arthroplasty patients from 2015 to 2016 at our institution. High-cost patients were identified by determining those patients above the cutoff, where the cost data became demonstrably nonparametric and both univariate analysis and logistical regressions were performed to identify risk factors that lead to increased costs. Receiver operator curves were created to determine the predictive nature of these risk factors.

RESULTS

Univariate analysis showed that high-cost privately insured patients were significantly older, more likely to be readmitted and less likely to be discharged to home (P < .001) whereas high-cost Medicare total knee/total hip arthroplasty patients were more likely to have many of the comorbidities analyzed. Logistical regression did not find any predictive factors for privately insured patients and found that diabetes (OR 1.47 and 1.75, respectively), congestive heart failure (OR 1.94 and 3.46, respectively), cerebrovascular event (OR 2.20 and 2.20, respectively) and rheumatic disease (OR 1.78 and 1.78, respectively) were all predictive of being a high-cost Medicare patient.

CONCLUSION

Traditional risk factors for postoperative complications are not reliably associated with increased patient costs after total hip and total knee arthroplasty. Furthermore, the risk factors associated with increased costs vary greatly between privately insured and Medicare-insured patients. Further investigation is necessary to identify cost drivers in this patient subset to preventive higher costs.