Bundled Payment "Creep": Institutional Redesign for Primary Arthroplasty Positively Affects Revision Arthroplasty

Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning

Background

The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency, hospital-based pathway.

Methods

We retrospectively reviewed 1401 consecutive primary and revision TJA patients across 67 patient and preoperative care characteristics from 2016 to 2019 from the institutional electronic health records. A machine learning approach, testing multiple models, was used to assess predictors of LOS.

Results

The median LOS was 1 day; outpatients accounted for 16.5%, 1-day inpatient stays for 38.0%, 2-day stays for 26.4%, and 3-days or more for 19.1%. Patients characteristically fell into 1 of 3 broad categories that contained relatively similar characteristics: outpatient (0-day LOS), short stay (1- to 2-day LOS), and prolonged stay (3 days or greater). The random forest models suggested that a lower Risk Assessment and Prediction Tool score, unplanned admission or hospital transfer, and a medical history of cardiovascular disease were associated with an increased LOS. Documented narcotic use for surgery preparation prior to hospitalization and preoperative corticosteroid use were factors independently associated with a decreased LOS.

Conclusions

After TJA, most patients have either an outpatient or short-stay hospital episode. Patients who stay 2 days do not differ substantially from patients who stay 1 day, while there is a distinct group that requires prolonged admission. Our machine learning models support a better understanding of the patient factors associated with different hospital LOS categories for TJA, demonstrating the potential for improved health policy decisions and risk stratification for centers caring for complex patients.

Does value-based healthcare support patient-centred care? A scoping review of the evidence

BACKGROUND

Standardisation of outcome measures is integral to value-based healthcare (VBHC), which may conflict with patient-centred care, focusing on personalisation.

OBJECTIVES

We aimed to provide an overview of measures used to assess the effect of VBHC implementation and to examine to what extent the evidence indicates that VBHC supports patient-centred care.

DESIGN

A scoping review guided by the Joanna Briggs Institute methodology.

SOURCES OF EVIDENCE

We searched the following databases on 18 February 2021: Cochrane Library, EMBASE, MEDLINE and Web of Science.

ELIGIBILITY CRITERIA

We included empirical papers assessing the effect of the implementation of VBHC, published after introduction of VBHC in 2006.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers double-screened papers and data were extracted by one reviewer and checked by the other. We classified the study measures used in included papers into six categories: process indicator, cost measure, clinical outcome, patient-reported outcome, patient-reported experience or clinician-reported experience. We then assessed the patient-centredness of the study measures used.

RESULTS

We included 39 studies using 94 unique study measures. The most frequently used study measures (n=72) were process indicators, cost measures and clinical outcomes, which rarely were patient-centred. The less frequently used (n=20) patient-reported outcome and experience measures often measured a dimension of patient-centred care.

CONCLUSION

Our study shows that the evidence on VBHC supporting patient-centred care is limited, exposing a knowledge gap in VBHC research. The most frequently used study measures in VBHC research are not patient-centred. The major focus seems to be on measures of quality of care defined from a provider, institution or payer perspective.

Lessons Learned From the Comprehensive Care for Joint Replacement Model at an Academic Tertiary Center: The Good, the Bad, and the Ugly

BACKGROUND

Our institution participated in the Comprehensive Care for Joint Replacement (CJR) model from 2016 to 2020. Here we review lessons learned from a total joint arthroplasty (TJA) care redesign at a tertiary academic center amid changing: (1) CJR rules; (2) inpatient only rules; and (3) outpatient trends.

METHODS

Quality, financial, and patient demographic data from the years prior to and during participation in CJR were obtained from institutional and Medicare reconciled CJR performance data.

RESULTS

Despite an increase in true outpatients and new challenges that arose from changing inpatient-only rules, there was significant improvement in quality metrics: decreased length of stay (3.48-1.52 days, P < .001), increased home discharge rate (70.2-85.5%, P < .001), decreased readmission rate (17.7%-5.1%, P < .001), decreased complication rate (6.5%-2.0%, P < .001), and the Centers for Medicare and Medicaid Services (CMS) Composite Quality Score increased from 4.4 to 17.6. Over the five year period, CMS saved an estimated $8.3 million on 1,486 CJR cases, $7.5 million on 1,351 non-CJR cases, and $600,000 from the voluntary classification of 371 short-stay inpatients as outpatient-a total savings of $16.4 million. Despite major physician time and effort leading to marked improvements in efficiency, quality, and large cost savings for CMS, CJR participation resulted in a net penalty of $304,456 to our institution, leading to zero physician gainsharing opportunities.

CONCLUSION

The benefits of CJR were tempered by malalignment of incentives among payer, hospital, and physician as well as a lack of transparency. Future payment models should be refined based on the successes and challenges of CJR.

Expanding Role of Technology in Rehabilitation After Lower-Extremity Joint Replacement: A Systematic Review

BACKGROUND

The effectiveness of telehealth programs in the administration of rehabilitation and the monitoring of postoperative progress after joint replacement is not well studied. The purpose of the present study was to systematically review the currently available evidence on the use of smart-device technology and telehealth programs to guide and monitor postoperative rehabilitation following total joint arthroplasty and to assess their impact on outcomes following surgery.

METHODS

A literature search of the MEDLINE database was performed using keywords "mobile," "app," "telehealth," "virtual," "arthroplasty," "outcomes," "joint replacement," "web based," "telemedicine," "TKA," "THA," "activity tracker," "fitness tracker," "monitor," "rehab," "online," and "stepcounter" in all possible combinations. All English studies with a level of evidence of I to III that were published from January 1, 2010, to December 19, 2020 were considered for inclusion. Quantitative and qualitative analysis was performed on the data collected.

RESULTS

A total of 28 articles meeting the inclusion criteria were identified and reviewed. With regard to objective functional outcome measures, such as strength, range of motion, or results of the Timed Up and Go (TUG) test, the virtual physical therapy group had equivalent or slightly superior outcomes compared with in-person physical therapy. There was similar improvement overall in patient-reported outcome measures (PROMs) and patient satisfaction between virtual and in-person physical therapy. Virtual physical therapy resulted in cost savings ranging from $206 to $4,100 per patient compared with in-person physical therapy.

CONCLUSIONS

Telerehabilitation following lower-extremity joint replacement is less expensive compared with in-person physical therapy, with equivalent outcomes and patient satisfaction. Telerehabilitation and electronic health adjuncts can be used to substitute for traditional rehabilitation and augment postoperative care following total joint arthroplasty, respectively. Telerehabilitation that provides outcomes equivalent to in-person physical therapy not only increases convenience for patients but also decreases the cost burden on the health-care system.

LEVEL OF EVIDENCE

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Temporal Trends in Revision Total Hip and Knee Arthroplasty from 2008 to 2018: Gaps and Opportunities

BACKGROUND

An overall assessment of how patient demographic characteristics and comorbidities are improving or worsening can allow better understanding of the value of revision total joint arthroplasty (TJA). Therefore, the purpose of this study was to identify patient demographic characteristics and comorbidities trends and episode-of-care outcome trends from 2008 to 2018 in patients undergoing revision TJA.

METHODS

The National Surgical Quality Improvement Program database was queried to identify patient demographic characteristics, comorbidities, and episode-of-care outcomes in patients undergoing revision TJA from 2008 to 2018 (n = 45,706). Pairwise t tests and pairwise chi-square tests were performed on consecutive years with Bonferroni correction. Trends were assessed using the 2-tailed Mann-Kendall test of the temporal trend.

RESULTS

Among patients undergoing revision TJA, there was no clinically important difference, from 2008 to 2018, in age, body mass index (BMI), percentages with >40 kg/m2 BMI, diabetes (18.8% to 19%), chronic obstructive pulmonary disease (4.1% to 5.4%), congestive heart failure within 30 days (0% to 1%), or acute renal failure (0% to 0.2%). However, modifiable comorbidities including smoking status (14.7% to 12.0%; p = 0.01), hypertension (66% to 26.0%; p = 0.02), anemia (34.5% to 26.3%; p < 0.001), malnutrition (10.4% to 9.3%; p = 0.004), and overall morbidity or mortality probability have improved, with a decrease in the hospital length of stay and 30-day readmission and a significant increase in home discharge (p < 0.001 for all).

CONCLUSIONS

Time-difference analysis demonstrated that the overall health status of patients undergoing revision TJA improved from 2008 to 2018. However, formal time-trend analysis demonstrated improvements to a lesser degree. The multidisciplinary effort to improve value-based metrics including patient comorbidity optimization and episode-of-care outcomes for primary TJA has been shown to potentially have an impact on revision TJA.

LEVEL OF EVIDENCE

Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Value-Based Healthcare Initiatives in Practice: A Systematic Review

EXECUTIVE SUMMARY

Value-based initiatives are growing in importance as strategic models of healthcare management, prompting the need for an in-depth exploration of their outcome measures. This systematic review aimed to identify measures that are being used in the application of the value agenda. Multiple electronic databases (PubMed/MEDLINE, Embase, Scopus, Cochrane Central Register of Controlled Trials) were searched. Eligible studies reported various implementations of value-based healthcare initiatives. A qualitative approach was used to analyze their outcome measurements. Outcomes were classified according to a tier-level hierarchy. In a radar chart, we compared literature to cases from Harvard Business Publishing. The value agenda effect reported was described in terms of its impact on each domain of the value equation. A total of 7,195 records were retrieved; 47 studies were included. Forty studies used electronic health record systems for data origin. Only 16 used patient-reported outcome surveys to cover outcome tiers that are important to patients, and 3 reported outcomes to all 6 levels of our outcome measures hierarchy. A considerable proportion of the studies (36%) reported results that contributed to value-based financial outcomes focused on cost savings. However, a gap remains in measuring outcomes that matter to patients. A more complete application of the value agenda by health organizations requires advances in technology and culture change management.

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.

Patient-Reported Outcome Measures (Pain, Function, and Quality of Life) After Aseptic Revision Total Knee Arthroplasty

BACKGROUND

Despite the growing frequency of revision total knee arthroplasty (rTKA), there is limited information regarding patient-reported outcome measures (PROMs) after that procedure. Therefore, the purpose of this study was to determine (1) PROM improvements in pain, function, quality of life (QOL), and global health and (2) predictors of PROMs for patients undergoing aseptic rTKA as determined using a multilevel model with patients nested within surgeons.

METHODS

A prospective cohort of 246 patients who underwent aseptic rTKA from January 2016 to December 2017 and had baseline and 1-year postoperative PROMs were analyzed. The most common surgical indications were aseptic loosening (n = 109), instability (n = 73), and implant failure (n = 64). The PROMs included in this study were the Knee injury and Osteoarthritis Outcome Score (KOOS)-Pain, -Physical Function Short Form (PS), and -Quality of Life (QOL) as well as the Veterans Rand-12 (VR-12) Physical Component Summary (PCS) and Mental Component Summary (MCS). Multivariable linear regression models with patients nested within surgeons were constructed for predicting change in PROMs from baseline to 1 year.

RESULTS

The mean 1-year postoperative improvements in the KOOS-Pain and PS PROMs were 30.3 and 19.15 points, respectively, for the overall rTKA series. Improvement in the KOOS-Pain was associated with older age, baseline arthrofibrosis, lower baseline pain, and non-Medicare/Medicaid insurance and worsening of the scores was associated with multiple prior surgical procedures and instability. Improvement in the KOOS-PS was associated with baseline arthrofibrosis and female sex and worsening was associated with limited baseline function, an instability diagnosis, multiple prior surgical procedures, and increased hospital length of stay (LOS). Overall, the mean KOOS-QOL improved by 29.7 points. Although the mean VR-12 PCS improved, 54.9% of the patients saw no clinical improvement. Additionally, only 31.3% of the patients reported improvements in the VR-12 MCS. A multilevel mixed-effects model with patients/operations nested within surgeons demonstrated that the differences in the surgeons' results were minimal and explained only ∼1.86%, ∼1.12%, and ∼1.65% of the KOOS-Pain, KOOS-PS, and KOOS-QOL variance that was not explained by other predictors, respectively.

CONCLUSIONS

Overall, patients undergoing aseptic rTKA had improvements in pain, function, and QOL PROMs at 1 year. Although overall QOL improved, other global-health PROMs remained unchanged. The associations highlighted in this study can help guide the preoperative clinical decision-making process by setting expectations before aseptic rTKA.

LEVEL OF EVIDENCE

Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

The Risk Assessment and Prediction Tool Accurately Predicts Discharge Destination After Revision Hip and Knee Arthroplasty

BACKGROUND

The Risk Assessment and Prediction Tool (RAPT) was developed and validated to predict discharge disposition after primary total hip and knee arthroplasty (THA/TKA). To date, there are no studies evaluating the applicability and accuracy of RAPT for revision THA/TKA. This study aims to determine the predictive accuracy of the RAPT for revision THA/TKA.

METHODS

Prospectively collected data from a single tertiary academic medical center were retrospectively analyzed for patients undergoing revision THA/TKA between January 2016 and July 2019. RAPT score was used to predict their postoperative discharge destination and its predictive accuracy was calculated. Patient risk (low, intermediate, and high) for postoperative inpatient rehabilitation facilities or skilled nursing facilities were determined based on the predictive accuracy of each RAPT score. Other factors evaluated included patient-reported discharge expectation, body mass index, and American Society of Anesthesiologists scores.

RESULTS

A total of 716 consecutive revision THA/TKA episodes were analyzed. Overall, predictive accuracy of RAPT for discharge disposition was 83%. RAPT scores <3 and >8 were deemed high and low risk of discharge to a post-acute care facility, respectively. RAPT scores of 4 to 7 were still accurate 65%-71% of the time and were deemed to be intermediate-risk. RAPT score and patient-reported discharge expectation had the strongest correlation with actual discharge disposition.

CONCLUSION

The RAPT has high predictive accuracy for discharge planning in revision THA/TKA patients. Patient-expected discharge destination is a powerful modulator of the RAPT score and we suggest that it be taken into consideration for preoperative discharge planning.

Revision Arthroplasty Does Not Require More Opioids Than Primaries: A Review of Prescribing Practices After Implementation of a Structured Perioperative Pain Management Strategy

BACKGROUND

There is a growing body of literature on opioid mitigation strategies following total joint arthroplasty. However, these have almost exclusively been studied in populations undergoing primary procedures, with revision arthroplasty historically thought to be more resistant due to procedural variability and complexity. We report on opioid utilization for revision arthroplasty following implementation of a structured, standardized opioid reduction strategy.

METHODS

Beginning January 2015, a comprehensive multidisciplinary pain protocol was developed and applied universally to all patients undergoing hip and knee arthroplasty, including revisions, without exclusion. We performed a retrospective review of opioid prescription trends for the revision arthroplasty subgroup between January 2014 and July 2018, with the first year serving as a baseline for comparison. Inpatient and outpatient opioid prescription data, inpatient satisfaction scores, and quality metrics were also reviewed.

RESULTS

We identified 1273 revision arthroplasty cases in the study period. There was a significant reduction in average oral morphine equivalents utilized per procedure when comparing preintervention and postimplementation values. Overall, inpatient prescriptions decreased 24.1% and outpatient utilization decreased 62.4% over the study period. Significant reductions were seen in both the total hip (60.6%) and total knee (64.0%) subgroups. Although revision arthroplasty patients were prescribed 32.5% more oral morphine equivalents at baseline, at year 5 there was no significant difference in outpatient prescriptions between primary and revision subgroups.

CONCLUSION

At our institution, a standardized opioid reduction strategy has resulted in marked reduction in opioid prescriptions for revision arthroplasty patients in line with generally successful reductions for primary arthroplasty. More importantly, with this approach, revision arthroplasty patients required no more outpatient opioids than their primary counterparts.

LEVEL OF EVIDENCE

Level III, Retrospective cohort study.

Arthroplasty Care Redesign Impacts the Predictive Accuracy of the Risk Assessment and Prediction Tool

BACKGROUND

The Risk Assessment and Prediction Tool (RAPT) is used to predict patient discharge disposition after total joint arthroplasty. Following a comprehensive, multidisciplinary redesign, our institution noticed a trend toward home discharge in patients with RAPT scores that historically predicted discharge to acute care facilities, presenting an opportunity to redefine the predictive ranges for RAPT.

METHODS

Retrospectively collected data were analyzed from a single institution in patients undergoing elective primary total joint arthroplasty from January 2016 to April 2017. Predictive accuracy (PA) was calculated for each RAPT score (1-12), RAPT score risk ranges (low, intermediate, and high), as well as overall. Other factors evaluated included patient-reported discharge expectation, body mass index, and American Society of Anesthesiologists scores as related to discharge disposition and the PA of RAPT.

RESULTS

Overall PA of RAPT was 88% (n = 1024 patients). Patients were high risk for acute care facility with a RAPT score of 1 to 3 (PA ≥ 83%), intermediate risk 4 to 7 (PA, 52%-79%), and low risk 8 to 12 (PA ≥ 89%). In multivariable analysis, RAPT score and patient-reported discharge expectation had the strongest correlation with actual discharge disposition.

CONCLUSION

Our multidisciplinary redesign has impacted the PA of RAPT. The original predictive ranges should be modified to reflect the increasing proportion of patients being discharged home following elective arthroplasty procedures. We have identified patient-expected discharge destination as a powerful modulator of the RAPT score and suggest that it be taken into consideration for discharge planning.