Capability After Total Knee Arthroplasty for Osteoarthritis Is Strongly Associated With Preoperative Symptoms of Depression.

BACKGROUND: Primary total knee arthroplasty (TKA) aims to improve the level of capability (ability to perform valued life activities) associated with knee osteoarthritis (OA). However, some evidence suggests a substantial proportion of patients remain dissatisfied with their outcomes after this procedure. We sought to better understand the association between mental health, specifically symptoms of depression, with postoperative outcomes. Symptoms of depression are shown to be common among orthopaedic populations in general and can be briefly and conveniently evaluated using the Patient Health Questionnaire-2 (PHQ-2) in a less burdensome manner compared with longer mental health surveys. This study assesses the association between preoperative depressive symptoms (PHQ-2) and levels of capability at 6 weeks and 6 months after TKA. METHODS: We conducted a prospective cohort study involving 114 patients with knee OA across five clinics in California and Texas scheduled for TKA. Participants completed a preoperative PHQ-2 and Knee Injury and OA Outcome Score for Joint Replacement (KOOS JR) survey at 6 weeks and 6 months post-TKA. We analyzed these data using bivariate and multivariable regression. RESULTS: Preoperative PHQ-2 scores were significantly associated with lower KOOS JR scores at 6 weeks and 6 months post-TKA. Latino/Hispanic race was also associated with lower KOOS JR scores at 6 weeks. The association between preoperative depressive symptoms and level of capability after TKA were more pronounced at 6 months compared with 6 weeks. CONCLUSION: Preoperative symptoms of depression are strongly associated with reduced capability after TKA and can be screened for using the PHQ-2-a brief tool that can be feasibly incorporated into clinical workflows. User-friendly assessment of depressive symptoms can assist orthopaedic surgeons in identifying and addressing mental health at the outset during the management of knee OA.

Digital musculoskeletal program is associated with decreased joint replacement rates.

OBJECTIVES: To compare 12-month total knee arthroplasty (TKA) and total hip arthroplasty (THA) rates for digital musculoskeletal (MSK) program members vs patients who received traditional care for knee or hip osteoarthritis (OA). STUDY DESIGN: Retrospective, longitudinal study with propensity score-matched comparison group that used commercial medical claims data representing more than 100 million commercially insured lives. METHODS: Study participants with hip OA (M16.x) or knee OA (M17.x) International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes were identified in the medical claims database. Digital MSK program members were identified using record linkage tokens. The comparison group had hip- or knee-related physical therapy identified via ICD-10-CM and Current Procedural Terminology codes. Respectively in each knee and hip OA group, digital members were matched to control group patients with similar demographics, comorbidities, and baseline MSK-related medical care use. TKA and THA at 12 months post participation were compared. RESULTS: In the knee OA group, 739 of 56,634 control group patients were matched to 739 digital members. At 12 months, 3.79% of digital members and 14.21% of control group patients had TKA (difference, 10.42%; P < .001). In the hip OA group, 141 of 20,819 control group patients were matched to 141 digital members. At 12 months, 16.31% of digital members and 32.62% of control group patients had THA (difference, 16.31%; P = .001). CONCLUSIONS: These findings suggest that patients who participated in a digital MSK program to manage OA have lower rates of total joint arthroplasty in the 12 months after enrollment.

Preoperative Symptoms of Depression are Associated With Worse Capability 6-weeks and 6-months After Total Hip Arthroplasty for Osteoarthritis.

BACKGROUND: Symptoms of depression have been associated with greater incapability following total hip arthroplasty (THA). A brief, 2-question, measure of symptoms of depression - the Patient Health Questionnaire-2 (PHQ-2) - may be sufficient to measure associations with the magnitude of incapability during recovery from THA. This study investigated whether preoperative symptoms of depression (measured with the PHQ-2) correlated with levels of incapability 6 weeks and 6 months after THA, accounting for demographic and clinical factors. METHODS: We performed a prospective cohort study across 5 centers and recruited 101 patients undergoing THA, of whom 90 (89%) completed follow-up. Patients completed demographics, a preoperative 2-item (PHQ-2) measure of symptoms of depression, and the Hip Dysfunction and Osteoarthritis Outcome Score for Joint Replacement (HOOS JR) at 6-weeks and 6-months postoperatively. Negative binomial regression models determined factors associated with HOOS JR at 6 weeks and 6 months, accounting for potential confounders. RESULTS: Accounting for potential confounding factors, we found that higher preoperative PHQ-2 scores (reflecting greater symptoms of depression) were associated with lower HOOS JR scores (reflecting a greater level of hip disability) at both 6 weeks (regression coefficient = -0.67, P < .001) and 6 months (regression coefficient = -1.9, P < .001) after THA. CONCLUSIONS: Symptoms of depression on a 2-question preoperative questionnaire are common, and greater symptoms of depression are associated with reduced capability within the first year following THA. These findings support the prioritization of routine mental health assessments before THA. Measuring mindset using relatively brief instruments will be important considering the current shift toward implementing self-reported measures of health status in clinical practice and incorporating them within alternative payment models.

Association of Unmet Social Needs With Level of Capability in People With Persistent Knee Pain.

BACKGROUND: Musculoskeletal providers are increasingly recognizing the importance of social factors and their association with health outcomes as they aim to develop more comprehensive models of care delivery. Such factors may account for some of the unexplained variation between pathophysiology and level of pain intensity and incapability experienced by people with common conditions, such as persistent nontraumatic knee pain secondary to osteoarthritis (OA). Although the association of one's social position (for example, income, employment, or education) with levels of pain and capability are often assessed in OA research, the relationship between aspects of social context (or unmet social needs) and such symptomatic and functional outcomes in persistent knee pain are less clear. QUESTIONS/PURPOSES: (1) Are unmet social needs associated with the level of capability in patients experiencing persistently painful nontraumatic knee conditions, accounting for sociodemographic factors? (2) Do unmet health-related social needs correlate with self-reported quality of life? METHODS: We performed a prospective, cross-sectional study between January 2021 and August 2021 at a university academic medical center providing comprehensive care for patients with persistent lower extremity joint pain secondary to nontraumatic conditions such as age-related knee OA. A final 125 patients were included (mean age 62 ± 10 years, 65% [81 of 125] women, 47% [59 of 125] identifying as White race, 36% [45 of 125] as Hispanic or Latino, and 48% [60 of 125] with safety-net insurance or Medicaid). We measured patient-reported outcomes of knee capability (Knee injury and Osteoarthritis Outcome Score for Joint Replacement), quality of life (Patient-Reported Outcome Measure Information System [PROMIS] Global Physical Health and PROMIS Global Mental Health), and unmet social needs (Accountable Health Communities Health-Related Social Needs Survey, accounting for insufficiencies related to housing, food, transportation, utilities, and interpersonal violence), as well as demographic factors. RESULTS: After controlling for demographic factors such as insurance status, education attained, and household income, we found that reduced knee-specific capability was moderately associated with experiencing unmet social needs (including food insecurity, housing instability, transportation needs, utility needs, or interpersonal safety) (standardized beta regression coefficient [ß] = -4.8 [95% confidence interval -7.9 to -1.7]; p = 0.002 and substantially associated with unemployment (ß = -13 [95% CI -23 to -3.8]; p = 0.006); better knee-specific capability was substantially associated with having Medicare insurance (ß = 12 [95% CI 0.78 to 23]; p = 0.04). After accounting for factors such as insurance status, education attained, and household income, we found that older age was associated with better general mental health (ß = 0.20 [95% CI 0.0031 to 0.39]; p = 0.047) and with better physical health (ß = 0.004 [95% CI 0.0001 to 0.008]; p = 0.04), but effect sizes were small to negligible, respectively. CONCLUSION: There is an association of unmet social needs with level of capability and unemployment in patients with persistent nontraumatic knee pain. This finding signals a need for comprehensive care delivery for patients with persistent knee pain that screens for and responds to potentially modifiable social risk factors, including those based on one's social circumstances and context, to achieve better outcomes. LEVEL OF EVIDENCE: Level II, prognostic study.

Price Transparency and Consumer Perceptions of Generic and Brand-name Implants in Orthopaedic Surgery.

Background: Some have suggested the use of generic surgical implants to curb rising costs of orthopaedic care. However, there is evidence that patients are reluctant to use generic pharmaceuticals as compared to their brand name equivalents for fear of inferior quality. Public perception of the use of generic implants remains unknown. Methods: We conducted a cross-sectional survey using Amazon MTurk to identify factors associated with a consumer preference for generic orthopaedic screws and total hip. Results: While much of the public (52%) sees the value of generic implants, fewer (26%) would prefer them in their own care. Most respondents (75%) trust their surgeon's choice, yet the vast majority (83%) want to be informed about the cost of their implant, even if it makes no difference in what they pay. The agreement that older implants are safer than newer implants (OR 1.9 for screws; 2.5 for hip arthroplasty), and that generics are a better value than brand name implants (OR 3.0 for screws; 4.3 for hip arthroplasty) were independently associated with a preference for generics. Conclusion: The observation that many people view generic implants as being a good value, yet fewer would prefer to use them in their own care indicates that concerns over quality may initially limit utilization of generic implants. More evidence is needed to reassure most consumers of the safety and effectiveness of generic implants. Additionally, our findings demonstrate a desire for more implant price transparency when undergoing orthopaedic surgery.

Functional Outcomes of a Musculoskeletal Integrated Practice Providing Comprehensive Whole Person Care for Hip Osteoarthritis.

BACKGROUND: Outcomes of hip osteoarthritis (OA) management within integrated practice units (IPUs) are lacking. This study reports 6-month and 1-year patient-reported outcomes (PROs) of IPU care, the proportion of patients achieving minimal clinically important difference (MCID) and substantial clinical benefit (SCB) at 1 year, and baseline factors associated with the likelihood of achieving MCID and SCB. METHODS: We retrospectively evaluated 1009 new patients presenting to an IPU with hip OA between October 2017 and June 2020. Patients experienced multidisciplinary team-based management. Individuals with baseline and 6-month PROs or baseline and 1-year PROs (Hip Disability and Osteoarthritis Outcome Score Joint Replacement, HOOS JR) were included. We used anchor-based MCID and SCB thresholds and multivariable binary logistic regression models to identify baseline factors associated with achieving 1-year MCID and SCB. RESULTS: HOOS JR increased from baseline to 6 months (Δ = 19.1 ± 2.1, P = .065) and baseline to 1 year (Δ = 35.8 ± 2.9, P < .001). At 1 year, 72.7% (IPU only) and 88% (IPU-based total hip arthroplasty [THA]) achieved MCID (P < .001), and 62.3% (IPU only) and 88% (IPU-based THA) achieved SCB (P < .001). In multivariable regression, lower baseline HOOS JR scores (r = 0.96, P = .04), undergoing THA (r = 0.213, P < .001), and fewer symptoms of generalized anxiety (r = 0.932, P = .018) were independently associated with achieving MCID at 1 year. The same factors were independently associated with achieving SCB at 1 year. Lower baseline anxiety (Generalized Anxiety Disorder Questionnaire-7 item) and greater hip-related preoperative limitations result in greater likelihood of achieving MCID and SCB. CONCLUSION: Significant improvements in patient outcomes can be achieved by IPUs providing comprehensive care for hip OA including the management of psychological distress. Future prospective studies should compare the outcomes of IPUs with traditional care in managing diverse patient phenotypes.

Barriers to Collection and Use of Patient-Reported Outcomes A Multi-Institutional Survey of Surgeons and Care Teams.

BACKGROUND: Currently there is a lack of insight into what total joint replacement (TJR) surgeons and care teams perceive to be the greatest barriers to collection and use of patient reported outcomes (PROs). The goal of this study was to provide insight on this topic using a multi-institutional survey. METHODS: A thorough literature review on PROs adoption and utilization was conducted to generate a 26-question survey. This survey was disseminated to joint replacement surgeons, associate providers (e.g., nurse practitioners and physician assistants), and other non-clinical health care staff involved in PRO collection at three institutions. Data from all respondents were analyzed qualitatively and using chi-square tests. RESULTS: Of 37 responses, 24 (65%) were from orthopedic surgeons and 13 (35%) from other clinical and administrative staff. Seventy-one percent of surgeons thought that integration into clinical workflow was the greatest barrier to initial implementation of PROs, while the greatest long-term limitations were accessibility (50%), patient engagement and compliance (50%), ability to represent their health in PROs (54%), and consistency across providers (50%). For PROs to be clinically useful, surgeons required that they should be linked to the EMR interface (65%), immediately available (59%), and are trended over time (59%). Fifty-four percent of surgeons across institutions believed administrative leadership was ultimately responsible for successful PROs implementation, while 46% of other staff believed that responsibility fell to surgeons and clinical staff. CONCLUSION: Surgeons perceive that the greatest barriers to PRO collection are workflow integration initially, and patient engagement, compliance, and ability to represent their health in PROs over the long term. Stakeholders inconsistently report which group is responsible for successful implementation.

Orthopedic Surgeon and Care Team Perceptions and Use of Patient-Reported Outcomes in Total Joint Replacement Patients.

BACKGROUND: The recent shift toward value-based health care and bundled payments in orthopedic surgery has increased the use patient-reported outcomes (PROs) in standard clinical care. Such assessments of patient function and satisfaction are particularly important among total joint arthroplasty (TJA) patients to monitor postoperative health. PURPOSE: The purpose of this study was to assess orthopedic care team perceptions of current and future PRO usage and compare current rates and modes of PRO collection between three urban, academic health care systems. METHODS: A literature search was conducted on current PRO uses and barriers to their adoption to generate a 26-question survey. The survey was disseminated to orthopedic surgeons and care team members at three academic health care institutions (institutions A, B, and C). Responses were analyzed for qualitative and quantitative insights. RESULTS: Among institutions A, B, and C, PRO collection generally declined from baseline (60%, 90%, 89%) to 6 weeks (67%, 82%, 71%) and 3 months postoperatively (44%, 36%, 47%). However, there were large variations in reported PRO collection intervals among institutions. Respondents reported assessing patient baseline functional status as the most useful current application of PROs and cited the prediction of patient benefit from TJA as the most useful future application for PROs. Though respondents were largely optimistic about PRO utility in clinical care, a small minority remained skeptical. CONCLUSIONS: Perceptions of PRO utilization and collection intervals varied considerably among respondents. For PROs to be an accurate and useful clinical tool, standardization and thorough understanding of PRO collection among orthopedic care team members is essential.

Convenience is Key for Patient Engagement with Remote Video Visits in a Musculoskeletal Practice.

BACKGROUND: Remote video visits (aka telemedicine, virtual care) have the potential to increase access to orthopaedic specialty evaluation while decreasing the overall cost of care. Clinical implementation of remote video visits may benefit from an understanding of potential barriers to participation. METHODS: We enrolled one hundred and thirty participants from a university-based musculoskeletal clinic with a large uninsured population. We asked participants to complete a survey, including demographics and scaled perception questions about remote video visits. Data from these surveys were analyzed with multivariable logistic regression to determine factors associated with willingness to participate in video visits, as well as the situations in which patients would consider a video visit. RESULTS: Willingness to participate in video visits was associated with the perception of video visits being more convenient (OR 3.0) and a decreased perceived importance of physical exam (OR 0.36) but not age, technology comfort, or travel distance to the clinic. Additionally, those with prior video visit experience were more comfortable with technology, perceived video visits to be more convenient, and were more willing to have another video visit. Fifteen percent were willing to have a video visit for their first visit, while 78% would participate for a routine non-surgical follow-up. CONCLUSION: Musculoskeletal telemedicine programs can become established by focusing on people that prioritize convenience, place less importance on a hands-on exam, and are established patients.

Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

Importance: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using patient-reported outcome measurement data to generate personalized estimations of outcomes to augment shared decision-making (SDM). Objective: To assess the effect of an AI-enabled patient decision aid that includes education, preference assessment, and personalized outcome estimations (using patient-reported outcome measurements) on decision quality, patient experience, functional outcomes, and process-level outcomes among individuals with advanced knee OA considering TKR in comparison with education only. Design, Setting, and Participants: This randomized clinical trial at a single US academic orthopedic practice included 129 new adult patients presenting for OA-related knee pain from March 2019 to January 2020. Data were analyzed from April to May 2020. Intervention: Patients were randomized into a group that received a decision aid including patient education, preference assessment, and personalized outcome estimations (intervention group) or a group receiving educational material only (control group) alongside usual care. Main Outcomes and Measures: The primary outcome was decision quality, measured using the Knee OA Decision Quality Instrument (K-DQI). Secondary outcomes were collaborative decision-making (assessed using the CollaboRATE survey), patient satisfaction with consultation (using a numerical rating scale), Knee Injury and Osteoarthritis Outcome Score Joint Replacement (KOOS JR) score, consultation time, TKR rate, and treatment concordance. Results: A total of 69 patients in the intervention group (46 [67%] women) and 60 patients in the control group (37 [62%] women) were included in the analysis. The intervention group showed better decisional quality (K-DQI mean difference, 20.0%; SE, 3.02; 95% CI, 14.2%-26.1%; P < .001), collaborative decision-making (CollaboRATE, 8 of 69 [12%] vs 28 of 60 [47%] patients below median; P < .001), satisfaction (numerical rating scale, 9 of 65 [14%] vs 19 of 58 [33%] patients below median; P = .01), and improved functional outcomes at 4 to 6 months (mean [SE] KOOS JR, 4.9 [2.24] points higher in intervention group; 95% CI, 0.8-9.0 points; P = .02). The intervention did not significantly affect consultation time (mean [SE] difference, 2.23 [2.18] minutes; P = .31), TKR rates (16 of 69 [23%] vs 7 of 60 [12%] patients; P = .11), or treatment concordance (58 of 69 [84%] vs 44 of 60 [73%] patients; P = .19). Conclusions and Relevance: In this randomized clinical trial, an AI-enabled decision aid significantly improved decision quality, level of SDM, satisfaction, and physical limitations without significantly impacting consultation times, TKR rates, or treatment concordance in patients with knee OA considering TKR. Decision aids using a personalized, data-driven approach can enhance SDM in the management of knee OA. Trial Registration: ClinicalTrials.gov Identifier: NCT03956004.

Factors Associated with a Second Opioid Prescription Fill in Total Knee Arthroplasty.

BACKGROUND: Total knee arthroplasty (TKA) creates a relatively large degree of nociception, making it a good setting to study variation in pain intensity and pain alleviation. The purpose of this study is to investigate factors associated with a second prescription of opioid medications within 30 days of primary TKA. METHODS: Using an insurance database, we studied 1372 people over a 6-year period with no mental health comorbidities including substance misuse and no comorbid pain illness at the time of TKA. Factors associated with a second prescription of opioid medication within 30 days of TKA were sought among patient demographics and the overall prescription morphine milligram equivalents. Patient and prescription-related risk factors were evaluated utilizing logistic relative risk regression. We reserved a year of data, 222 people, to evaluate the performance of the derived model. RESULTS: More than half the patients filled a second prescription for opioids within 30 days of TKA. Factors associated with a second prescription of opioid medication within 30 days of TKA included age (P < .01), current smoker (P = .01), and the total morphine milligram equivalents of the initial prescription (P < .01). Applied to the 222 people we reserved for validation, the model was 81% sensitive and 14% specific for a second prescription within 30 days, with a positive predictive value of 74%, and a negative predictive value of 20%. CONCLUSION: People that are given more opioids tend to request more opioids, but our model had limited diagnostic performance characteristics indicating that we are not accounting for the key factors associated with a second opioid prescription. Future studies might address undiagnosed patient social and mental health opportunities, factors known to associate with pain intensity and satisfaction with pain alleviation. LEVEL OF EVIDENCE: Diagnostic Level III.

PROMIS PF correlates with HOOS, JR in patients with hip pain.

BACKGROUND: Patient-reported outcome measures (PROMs) are increasingly integrated into reporting requirements tied to reimbursement. There may be advantages to computer adaptive tests that apply to many different anatomical regions and diseases, provided that important information is not lost. QUESTIONS: 1) Does the Patient-Reported Outcomes Measurement Information System Physical Function (PROMIS PF) computer adaptive test correlate with the Hip injury and Osteoarthritis Outcome Score for Joint Replacement (HOOS, JR: a hip-specific PROM); 2) Is there any difference in the amount of variation explained by various factors (e.g. age, BMI, presence of concomitant knee pain) for both measures? METHODS: In this prospective, cross-sectional study of 213 patients, we assessed the Pearson correlation of PROMIS PF and HOOS, JR. To investigate the variation explained by various patient-level factors, we constructed two multivariable linear regression models. RESULTS: We found a large correlation between PROMIS PF and HOOS, JR (r 0.58, P < 0.001). Disabled or unemployed status was independently associated with both lower PROMIS PF and HOOS, JR scores (regression coefficient [ß] -3.4; 95% confidence interval [CI] -5.8 to -1.0; P = 0.006 and ß -11; 95% CI -17 to -5.0; P < 0.001, respectively). Private rather than public insurance was associated with both higher PROMIS PF and HOOS, JR scores (ß 4.5; 95% CI 2.2 to 6.8; P < 0.001 and ß 6.4; 95% CI 0.49 to 12; P = 0.034, respectively). No floor or ceiling effects were observed for PROMIS PF. HOOS, JR scores showed 4.2% floor and 0.5% ceiling effect. CONCLUSIONS: This study adds to the evidence that general measures of physical limitations may provide similar information as joint- or region-specific measures. LEVEL OF EVIDENCE: Level III.

PROMIS Physical Function Correlates with KOOS, JR in Patients with Knee Pain.

Using Patient-Reported Outcomes Measurement Information System Physical Function (PROMIS PF) computerized adaptive test instead of the Knee injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS, JR) could reduce question burden for patients with knee pain. We aimed to prospectively determine the correlation between PROMIS PF and KOOS, JR to assess whether PROMIS PF could be a useful alternative measure for both research and clinical care of patients with knee pain. This was a cross-sectional study of 88 patients. We assessed the correlation between PROMIS PF and KOOS, JR using a Pearson's correlation test. Two multivariable linear regression models were used to determine the amount of variation explained by various patient-level factors. There was a strong correlation between PROMIS PF and KOOS, JR (r = 0.74, p < 0.001). KOOS, JR was an independent predictor of PROMIS PF when controlling for patient-level factors (ß 0.26; p < 0.001). The results of this study support the idea of using PROMIS PF in place of joint-specific measures such as KOOS, JR for clinical care of patients with knee pain. The level of evidence for this study is Level III.

Patient-Reported Outcome Measures and Patient Activation: What Are Their Roles in Orthopedic Trauma?

The rise of patient-reported outcome (PRO) measurement across medicine has been swift and now extends to the world of orthopedic trauma. However, PRO measures (PROMs) applied to trauma patients pose special considerations; measuring "episodes of care" is less straightforward, injuries are heterogeneous in their severity, and the patient's initial visit is "postinjury." Obtaining baseline scores and assessing the impact of a traumatic event on mental health are key considerations. Currently, few, if any, trauma registries include PROs; though general and condition-specific PROMs plus the patient empowerment measure of Patient Activation represent meaningful inputs for the clinical decision-making process. To be useful in trauma care, PROMs should be psychometrically sound and validated, be used for capturing function, screen for mental state and substance use, and give the clinician a sense of the patient's "activation" (engagement in their own health). Although the implementation of routine PRO collection can seem daunting, clinicians can use a multitude of electronic resources to access validated measures and simplify the implementation process. Computer-adaptive testing has evolved to help minimize patient burden, and PROM collection must maximize efficiency. Once established as part of your practice, PROs become an important tool to track recovery, identify mental health issues, engage in the prevention of future injury, and enable care of the whole patient.

Integrated Practice Units: What Are They and How Can They Be Applied to Orthopaedic Trauma?

Musculoskeletal professionals are looking for opportunities to provide integrated patient-centered models of care. Integrated practice units (IPUs) are structurally and functionally organized around the patient's medical condition over a full cycle of care with a comprehensive range of services delivered by dedicated multidisciplinary teams. Although IPUs have been developed for chronic orthopaedic conditions, such as hip and knee osteoarthritis, relatively little has been explored in relation to orthopaedic trauma. Development of novel IPUs for managing musculoskeletal injuries may help surgeons to better contend with the substantial burden associated with these conditions on the quality of life of individual patients and society at large. This review explores the challenges and unmet needs unique to orthopaedic trauma that could be bridged by high-value, integrated patient-centered models of care. It also provides a framework for the design and implementation of IPUs and the rationale of this framework in 3 major populations: ambulatory trauma, fragility fractures, and complex polytrauma. To conclude, in this review, we consider the mechanism and impact of alternative payment models in this setting.

Relationship Between Baseline Patient-reported Outcomes and Demographic, Psychosocial, and Clinical Characteristics: A Retrospective Study.

INTRODUCTION: Alternative payment models in total lower extremity joint replacement (TJR) increasingly emphasize patient-reported outcomes (PROs) to link the latter to value-based payments. It is unclear to what extent demographic, psychosocial, and clinical characteristics are related to PROs measured preoperatively with the commonly used Hip/Knee Osteoarthritis Outcome Scores (HOOS/KOOS) and the Veterans RAND 12-Item Health Survey (VR-12) questionnaires. We aim to identify (1) the preoperative relationship between HOOS/KOOS and VR-12 scores and several demographic, psychosocial, and clinical patient characteristics and (2) the best modifiable factors for optimization, which may result in improved baseline PROs before TJR. METHODS: All TJR cases performed in 2017 at the two highest-volume hospitals within an urban academic health system were queried. Preoperative HOOS/KOOS and VR-12 surveys were administered through an e-collection platform. VR-12 physical and mental component scores (PCS, MCS) were generated. Patient information was extracted from the electronic health record. Bivariate and multivariate regression analyses were performed. Odds ratios (ORs) and 95% confidence intervals were reported. RESULTS: In univariate analysis, patients with HOOS/KOOS, VR-12 PCS, and MCS in the ≤25th percentile group were more likely to have an ASA score of ≥3 compared with those with higher scores. In multivariate analysis, increased and decreased odds of low HOOS/KOOS were associated with a one-unit increase in Charlson Comorbidity Index (OR, 1.16) and VR-12 MCS (OR, 0.97), respectively. Increased odds of low baseline VR-12 PCS and MCS were associated with ASA class ≥3 (OR, 1.65 and 1.40). Decreased odds of a low MCS were associated with an increase in HOOS/KOOS (OR, 0.98) (P ≤ 0.05 for all). CONCLUSION: Of the factors that are associated with low baseline PRO scores, preoperatively addressing mismanaged comorbidities, mental health, and physical function were identified as the best modifiable factors for optimization, which may result in improved baseline PROs before TJR.

Skilled Nursing Facility Placement Process After Total Hip and Total Knee Arthroplasty: Revised Rating System and Opportunities for Intervention.

BACKGROUND: With the advent of bundled payment models, identifying high-performing skilled nursing facilities (SNFs) has become increasingly important. The goal of this study is to develop a rating system to rank SNFs within our health system and to use this system to improve the SNF discharge process at our institution. METHODS: All SNF-discharged primary total joint arthroplasty cases in 2017 at a multi-hospital academic health system were queried. Discharge patterns were assessed using heat map analysis. Regression analyses in conjunction with structured discussions with subject matter experts were used to identify measures of SNF efficiency and care quality. A revised rating system was developed and used to identify high-performing facilities within our health system. Opportunities to re-direct patients to higher performing facilities were identified. RESULTS: A revised rating system for SNFs was constructed based on risk-adjusted SNF length of stay, 30-day re-admission rate, and 30-day emergency department visit rate. As 82% of patients were discharged to SNFs in close proximity to their home, high-performing SNFs (according to the revised rating system) were identified by geographic region. Mapping of the discharge process revealed multiple opportunities where patients could be re-directed to a higher performing SNF in their area. Using conservative estimates (25% of discharges re-directed), this is expected to achieve a cost saving of $2,600,000 over a 5-year period, mainly through reductions in SNF length of stay. CONCLUSION: This study describes the development of a revised rating system for SNFs which, when implemented, is expected to achieve substantial cost savings over a 5-year period.

Short term patient outcomes after total knee arthroplasty: Does the implant matter?

BACKGROUND: Newer implants for total knee arthroplasty (TKA) often gain market share at higher cost with little patient-reported and long-term clinical data. We compared outcomes after TKA using two different implants: DePuy PFC Sigma and Attune. METHODS: Using a prospective data repository from an academic tertiary medical center, we analyzed 2116 TKAs (1603 Sigma and 513 Attune) from April 2011 through July 2016. Outcomes included length of surgery, length of stay, facility discharge, 90-day reoperation, range of motion (ROM) change, and patient-reported physical function (PCS). RESULTS: There was no difference in length of surgery (Attune -2.87 min, P = 0.143). Implant type was not associated with extended LOS (>3 days) (OR 0.80, P = 0.439). There was no difference in facility discharge (OR 0.65, P = 0.103). Unadjusted 90-day reoperations were 0.3% for Sigma and 1.0% for Attune cohorts (P = 0.158). Sigma implants were associated with more ROM improvement in unadjusted analyses (+2.1 degree improvement P = 0.031). Fifty nine percent of the Sigma cohort and 49% of the Attune cohort achieved the minimal clinically important (MCID) change for PCS improvement, although there was no adjusted difference in achieving MCID (Attune OR 0.84, P = 0.435). There was no adjusted difference in absolute PCS improvement (Attune +0.12 score, P = 0.864). CONCLUSIONS: Our data show no difference in physical function and most outcomes between Sigma and Attune. Attune implants had shorter absolute LOS, but there were no differences in extended LOS.

Preoperative Patient-Reported Outcomes and Clinical Characteristics as Predictors of 90-Day Cost/Utilization and Complications.

BACKGROUND: With the advent of mandatory bundle payments for total joint arthroplasty (TJA), assessing patients' risk for increased 90-day complications and resource utilization is crucial. This study assesses the degree to which preoperative patient-reported outcomes predict 90-day complications, episode costs, and utilization in TJA patients. METHODS: All TJA cases in 2017 at 2 high-volume hospitals were queried. Preoperative HOOS/KOOS JR (Hip Injury and Osteoarthritis Outcome Score/Knee Injury and Osteoarthritis Outcome Score) and Veterans RAND 12-item health survey (VR-12) were administered to patients preoperatively via e-collection platform. For patients enrolled in the Medicare bundle, cost data were extracted from claims. Bivariate and multivariate regression analyses were performed. RESULTS: In total, 2108 patients underwent TJA in 2017; 1182 (56%) were missing patient-reported outcome data and were excluded. The final study population included 926 patients, 199 (21%) of which had available cost data. Patients with high bundle costs tended to be older, suffer from vascular disease and anemia, and have higher Charlson scores (P < .05 for all). These patients also had lower baseline VR-12 Physical Component Summary Score (PCS; 24 vs 30, P ≤ .001) and higher rates of extended length of stay, skilled nursing facility discharge, 90-day complications, and 90-day readmission (P ≤ .04 for all). In multivariate analysis, higher baseline VR-12 PCS was protective against extended length of stay, skilled nursing facility discharge, >75th percentile bundle cost, and 90-day bundle cost exceeding target bundle price (P < .01 for all). Baseline VR-12 Mental Component Summary Score and HOOS/KOOS JR were not predictive of complications or bundle cost. CONCLUSION: Low baseline VR-12 PCS is predictive of high 90-day bundle costs. Baseline HOOS/KOOS JR scores were not predictive of utilization or cost. Neither VR-12 nor HOOS/KOOS JR was predictive of 90-day readmission or complications.