Surgeon Prioritization of Mental, Social, and Pathophysiological Aspects of Health Among People With Traumatic and Nontraumatic Musculoskeletal Conditions.

BACKGROUND: There is mounting evidence that, among musculoskeletal patients, variation in capability has more notable associations with variations in mental and social health factors than with variation in pathophysiology severity. This study sought factors that could limit the integration of this evidence into more comprehensive care models. METHODS: In two scenario-based experiments, surgeon participants in an international collaborative, the Science of Variation Group, reviewed scenarios of (a) nontraumatic (83 participants) and (b) trauma-related (130 participants) pathophysiologies for which tests and treatments were discretionary. The following demographic, mental, and social health elements were varied randomly: sex, age, race/ethnicity, mindsets, social health aspects, and specific pathophysiologies. For each scenario, participants rated their likelihood to offer surgery (continuous) and their sense of presence of an opportunity to address better mental or social health in treatment (yes or no). Factors associated with each rating were sought in multivariable analysis. RESULTS: Greater likelihood to offer discretionary surgery for nontraumatic pathophysiologies was associated with greater pathophysiology severity, trapeziometacarpal arthritis, and greater distress and unhelpful thoughts regarding symptoms. Lateral elbow enthesopathy was associated with a lower likelihood. For trauma-related pathophysiologies, an ankle fracture with slight articular subluxation was associated with greater likelihood to offer surgery, and several other trauma-related pathophysiologies were associated with a lower likelihood. For both nontraumatic and trauma-related pathophysiologies, surgeons noticed unhelpful thinking, distress, and social issues as reasons to consider addressing mental and social health in treatment, relatively independent of pathophysiology. CONCLUSION: Surgeons seem to recognize opportunities to address mental and social needs but ultimately base their decision to offer discretionary surgery on pathophysiological factors. CLINICAL RELEVANCE: Comprehensive, whole-person care for musculoskeletal illness might be supported by strategies for ensuring that aspects of stress and distress that contribute to greater symptom intensity are not misinterpreted as a reflection of greater pathophysiology severity.

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.

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.

What Is the Association Between Agency and Levels of Capability and Comfort in Musculoskeletal Care? A Systematic Review.

BACKGROUND: People who take active responsibility for their health demonstrate agency. Agency in the context of chronic illness management with disease-modifying treatments is commonly linked to adherence and confidence in care seeking. In musculoskeletal health, agency is commonly observed in the accommodation of conditions related to aging and reflected in studies of people not seeking care. The development of agency measures originates from the realm of medical management of chronic illness rather than that of musculoskeletal disease, which is often optional or discretionary. With growing interest in the universal adoption of agency as a performance measure for quality payment programs, there is a need to better understand how agency is measured across musculoskeletal conditions, and how agency may be a modifiable correlate of capability, comfort, mindset, and circumstances. QUESTIONS/PURPOSES: We systematically reviewed the evidence regarding agency among people seeking musculoskeletal specialty care and asked: (1) Are greater levels of agency associated with greater levels of comfort and capability? (2) Are greater levels of agency associated with better mental and social health? METHODS: Following the PRISMA guidelines, we performed searches on May 22, 2023, with searches spanning September 1988 (in PubMed and Web of Science) and September 1946 (in Ovid Medline) to May 2023. We included original clinical studies addressing the relationship between agency and levels of comfort, capability, mindset, and circumstances (by utilizing patient-reported agency measures [PRAMs], patient-reported outcome measures [PROMs], and mental and social health measures) involving adult patients 18 years or older receiving specialist care for musculoskeletal conditions. We identified 11 studies involving 3537 patients that addressed the primary research question and three studies involving 822 patients that addressed the secondary question. We conducted an evidence quality assessment using the Methodological Index for Non-Randomized Studies (MINORS) and found the overall evidence quality to be relatively high, with loss to follow-up and lack of reporting of sample size calculation the most consistent study shortcomings. The measures of capability varied by anatomical region. The Patient Activation Measure (a validated 10- or 13-item survey originally designed to assess a patient's level of understanding and confidence in managing their health and ability to engage in healthcare related to chronic medical illness) was used as a measure of agency in 10 studies (one of which also used the Effective Consumer Scale) and attitudes regarding one's management of musculoskeletal disorders in one study. We registered this systematic review on PROSPERO (Reg CRD42023426893). RESULTS: In general, the relationships between PRAMs and PROMs are weak to moderate in strength using the Cohen criteria, with 10 of 11 studies demonstrating an association between levels of agency and levels of comfort and capability. The three studies addressing mental health found a weak correlation (where reported) between levels of agency and levels of symptoms of depression and anxiety. CONCLUSION: The finding that agency in patients seeking care for musculoskeletal conditions is associated with greater comfort, capability, and mental health supports the prioritization of agency modification during musculoskeletal specialty care. This might include behavioral health and cognitive debiasing strategies along with strategies and services promoting self-management. Our work also points to an opportunity to develop agency measures better suited for discretionary care that more directly assess the cultivation of healthy mindsets, behaviors, and accommodative attitudes toward the discomfort and incapability experienced during aging. LEVEL OF EVIDENCE: Level II, prognostic study.

What Are the Underlying Mental Health Constructs Associated With Level of Capability in People With Knee and Hip Osteoarthritis?

BACKGROUND: Mental health characteristics such as negative mood, fear avoidance, unhelpful thoughts regarding pain, and low self-efficacy are associated with symptom intensity and capability among patients with hip and knee osteoarthritis (OA). Knowledge gaps remain regarding the conceptual and statistical overlap of these constructs and which of these are most strongly associated with capability in people with OA. Further study of these underlying factors can inform us which mental health assessments to prioritize and how to incorporate them into whole-person, psychologically informed care. QUESTIONS/PURPOSES: (1) What are the distinct underlying factors that can be identified using statistical grouping of responses to a multidimensional mental health survey administered to patients with OA? (2) What are the associations between these distinct underlying factors and capability in knee OA (measured using the Knee Injury and Osteoarthritis Outcome Score, Joint Replacement [KOOS JR]) and hip OA (measured using Hip Disability and Osteoarthritis Outcome Score, Joint Replacement [HOOS JR]), accounting for sociodemographic and clinical factors? METHODS: We performed a retrospective cross-sectional analysis of adult patients who were referred to our program with a primary complaint of hip or knee pain secondary to OA between October 2017 and December 2020. Of the 2006 patients in the database, 38% (760) were excluded because they did not have a diagnosis of primary osteoarthritis, and 23% (292 of 1246) were excluded owing to missing data, leaving 954 patients available for analysis. Seventy-three percent (697) were women, with a mean age of 61 ± 10 years; 65% (623) of patients were White, and 52% (498) were insured under a commercial plan or via their employer. We analyzed demographic data, patient-reported outcome measures, and a multidimensional mental health survey (the 10-item Optimal Screening for Prediction of Referral and Outcome-Yellow Flag [OSPRO-YF] assessment tool), which are routinely collected for all patients at their baseline new-patient visit. To answer our first question about identifying underlying mental health factors, we performed an exploratory factor analysis of the OSPRO-YF score estimates. This technique helped identify statistically distinct underlying factors for the entire cohort based on extracting the maximum common variance among the variables of the OSPRO-YF. The exploratory factor analysis established how strongly different mental health characteristics were intercorrelated. A scree plot technique was then applied to reduce these factor groupings (based on Eigenvalues above 1.0) into a set of distinct factors. Predicted factor scores of these latent variables were generated and were subsequently used as explanatory variables in the multivariable analysis that identified variables associated with HOOS JR and KOOS JR scores. RESULTS: Two underlying mental health factors were identified using exploratory factor analysis and the scree plot; we labeled them "pain coping" and "mood." For patients with knee OA, after accounting for confounders, worse mood and worse pain coping were associated with greater levels of incapability (KOOS JR) in separate models but when analyzed in a combined model, pain coping (regression coefficient -4.3 [95% confidence interval -5.4 to -3.2], partial R 2 0.076; p < 0.001) had the strongest relationship, and mood was no longer associated. Similarly, for hip OA, pain coping (regression coefficient -5.4 [95% CI -7.8 to -3.1], partial R 2 0.10; p < 0.001) had the strongest relationship, and mood was no longer associated. CONCLUSION: This study simplifies the multitude of mental health assessments into two underlying factors: cognition (pain coping) and feelings (mood). When considered together, the association between capability and pain coping was dominant, signaling the importance of a mental health assessment in orthopaedic care to go beyond focusing on unhelpful feelings and mood (assessment of depression and anxiety) alone to include measures of pain coping, such as the Pain Catastrophizing Scale or Tampa Scale for Kinesiophobia, both of which have been used extensively in patients with musculoskeletal conditions. LEVEL OF EVIDENCE: Level III, prognostic study.

Systematic review of machine-learning models in orthopaedic trauma.

Aims: Machine-learning (ML) prediction models in orthopaedic trauma hold great promise in assisting clinicians in various tasks, such as personalized risk stratification. However, an overview of current applications and critical appraisal to peer-reviewed guidelines is lacking. The objectives of this study are to 1) provide an overview of current ML prediction models in orthopaedic trauma; 2) evaluate the completeness of reporting following the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement; and 3) assess the risk of bias following the Prediction model Risk Of Bias Assessment Tool (PROBAST) tool. Methods: A systematic search screening 3,252 studies identified 45 ML-based prediction models in orthopaedic trauma up to January 2023. The TRIPOD statement assessed transparent reporting and the PROBAST tool the risk of bias. Results: A total of 40 studies reported on training and internal validation; four studies performed both development and external validation, and one study performed only external validation. The most commonly reported outcomes were mortality (33%, 15/45) and length of hospital stay (9%, 4/45), and the majority of prediction models were developed in the hip fracture population (60%, 27/45). The overall median completeness for the TRIPOD statement was 62% (interquartile range 30 to 81%). The overall risk of bias in the PROBAST tool was low in 24% (11/45), high in 69% (31/45), and unclear in 7% (3/45) of the studies. High risk of bias was mainly due to analysis domain concerns including small datasets with low number of outcomes, complete-case analysis in case of missing data, and no reporting of performance measures. Conclusion: The results of this study showed that despite a myriad of potential clinically useful applications, a substantial part of ML studies in orthopaedic trauma lack transparent reporting, and are at high risk of bias. These problems must be resolved by following established guidelines to instil confidence in ML models among patients and clinicians. Otherwise, there will remain a sizeable gap between the development of ML prediction models and their clinical application in our day-to-day orthopaedic trauma practice.

Artificial neural networks outperform linear regression in estimating 9-month patient-reported outcomes after upper extremity fractures with increasing number of variables.

Objective: To compare performance between linear regression (LR) and artificial neural network (ANN) models in estimating 9-month patient-reported outcomes (PROs) after upper extremity fractures using various subsets of early mental, social, and physical health variables. Methods: We studied 734 patients with isolated shoulder, elbow, or wrist fracture who completed demographics, mental and social health measures, and PROs at baseline, 2-4 weeks, and 6-9 months postinjury. PROs included 3 measures of capability (QuickDASH, PROMIS-UE-PF, PROMIS-PI) and one of pain intensity. We developed ANN and LR models with various selections of variables (20, 23, 29, 34, and 54) to estimate 9-month PROs using a training subset (70%) and internally validated them using another subset (15%). We assessed the accuracy of the estimated value being within one MCID of the actual 9-month PRO value in a test subset (15%). Results: ANNs outperformed LR in estimating 9-month outcomes in all models except the 20-variable model for capability measures and 20-variable and 23-variable models for pain intensity. The accuracy of ANN versus LR in the primary model (29-variable) was 83% versus 73% (Quick-DASH), 68% versus 65% (PROMIS-UE-PF), 66% versus 62% (PROMIS-PI), and 78% versus 65% (pain intensity). Mental and social health factors contributed most to the estimations. Conclusion: ANNs outperform LR in estimating 9-month PROs, particularly with a larger number of variables. Given the otherwise relatively comparable performance, aspects such as practicality of collecting greater sets of variables, nonparametric distribution, and presence of nonlinear correlations should be considered when deciding between these statistical methods.

Patient-Reported Outcome Measurement in Orthopaedic Trauma.

Patient-reported outcome (PRO) measurements are validated tools developed to quantify self-reported aspects of capability, mindset, and circumstances in a standardized fashion. While PRO measurements have primarily been used in the research realm, a growing body of work now underscores substantial opportunities in applying the data generated by these tools to advance patient-centered musculoskeletal care. Specifically, the insights into a patient's health status derived from these measures can augment the standard biomedical approach to the management of patients with orthopaedic trauma. For instance, PRO measures have demonstrated the high prevalence of psychological distress and social concerns within trauma populations and shown that mindsets and circumstances account for a substantial amount of the variation in levels of symptom intensity and capability in these patients. Such findings support the need for a more integrated, biopsychosocial, and multidisciplinary team-based approach to orthopaedic trauma care that include both technical and nontechnical skillsets. In this chapter, we explore the range of available fixed-scale and computer adaptive PRO measures that can quantify aspects of capability, mindsets, and circumstances of the patient with orthopaedic trauma during their experience of injury, recovery, and rehabilitation. Furthermore, we define human, technical, and system-level challenges within the often complex, dynamic, and clinically intense trauma setting. Finally, we highlight potential opportunities through successfully implementing PRO measurements for clinical decision support, shared decision making, predicting health outcomes, and developing advanced care pathways for patients and populations with orthopaedic trauma.

Deep learning based phenotyping of medical images improves power for gene discovery of complex disease.

Electronic health records are often incomplete, reducing the power of genetic association studies. For some diseases, such as knee osteoarthritis where the routine course of diagnosis involves an X-ray, image-based phenotyping offers an alternate and unbiased way to ascertain disease cases. We investigated this by training a deep-learning model to ascertain knee osteoarthritis cases from knee DXA scans that achieved clinician-level performance. Using our model, we identified 1931 (178%) more cases than currently diagnosed in the health record. Individuals diagnosed as cases by our model had higher rates of self-reported knee pain, for longer durations and with increased severity compared to control individuals. We trained another deep-learning model to measure the knee joint space width, a quantitative phenotype linked to knee osteoarthritis severity. In performing genetic association analysis, we found that use of a quantitative measure improved the number of genome-wide significant loci we discovered by an order of magnitude compared with our binary model of cases and controls despite the two phenotypes being highly genetically correlated. In addition we discovered associations between our quantitative measure of knee osteoarthritis and increased risk of adult fractures- a leading cause of injury-related death in older individuals-, illustrating the capability of image-based phenotyping to reveal epidemiological associations not captured in the electronic health record. For diseases with radiographic diagnosis, our results demonstrate the potential for using deep learning to phenotype at biobank scale, improving power for both genetic and epidemiological association analysis.

Implementation of Patient-Reported Outcome Measures for Your Practice Needs.

Patient-reported outcome (PRO) measures offer a unique opportunity to systematically incorporate patient perspectives of their health and wellbeing into treatment, view progress over time, and develop opportunities related to clinical decision support, shared decision making, and outcomes-driven payment and practice transformation. As healthcare institutions increasingly look toward adopting PRO measures in their practices, more information is needed regarding the practicalities of implementing a successful PRO program outside of the research setting. This article offers a stepwise approach to implementing a PRO program while overcoming barriers and leveraging facilitators that commonly exist in the realms of human contribution or team building, technological infrastructure, and process design. To routinely adopt and implement these instruments, we need a multifaceted approach to operationalizing patient-reported outcome measure (PROMs) for high-value outcomes-driven, patient-centered musculoskeletal care.

Is Health Literacy Associated With Surgical Outcomes? A Systematic Review.

INTRODUCTION: Low levels of health literacy have been shown to increase healthcare utilization and negatively affect health outcomes within medical specialties. However, the relationship of health literacy with clinical, patient-centered, and process-oriented surgical outcomes is not as well understood. MATERIALS AND METHODS: We sought to systematically review the current evidence base regarding the relationship between health literacy and a range of outcomes in patients experiencing surgical care. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched six databases and then identified and extracted data from 25 cross-sectional or cohort studies deemed eligible for a systematic review. RESULTS: Among included studies, strong evidence exists to support an association between low health literacy and worse patient-centered outcomes, as well as an association between low health literacy and poorer process-oriented surgical outcomes. However, the relationship between health literacy and clinical outcomes remains unclear. CONCLUSIONS: Substantial opportunities remain to improve our understanding of the impact of health literacy on surgical outcomes. Future work should expand the range of institutional and specialized surgical settings studied, implement a standardized set of validated health literacy assessment tools, include more diverse patient populations, and investigate a comprehensive range of patient-reported outcomes.

The genetic architecture and evolution of the human skeletal form.

The human skeletal form underlies bipedalism, but the genetic basis of skeletal proportions (SPs) is not well characterized. We applied deep-learning models to 31,221 x-rays from the UK Biobank to extract a comprehensive set of SPs, which were associated with 145 independent loci genome-wide. Structural equation modeling suggested that limb proportions exhibited strong genetic sharing but were independent of width and torso proportions. Polygenic score analysis identified specific associations between osteoarthritis and hip and knee SPs. In contrast to other traits, SP loci were enriched in human accelerated regions and in regulatory elements of genes that are differentially expressed between humans and great apes. Combined, our work identifies specific genetic variants that affect the skeletal form and ties a major evolutionary facet of human anatomical change to pathogenesis.

Challenges and Opportunities for the Use of Patient-Reported Outcome Measures in Orthopaedic Pediatric and Sports Medicine Surgery.

Patient-reported outcome measures (PROMs) are essential tools in assessing treatment response, informing clinical decision making, driving healthcare policy, and providing important prognostic data regarding patient health status change. These tools become essential in orthopaedic disciplines, such as pediatrics and sports medicine, given the diversity of patient populations and procedures. However, the creation and routine administration of standard PROMs alone do not suffice to appropriately facilitate the aforementioned functions. Indeed, both the interpretation and optimal application of PROMs are essential to provide to achieve greatest clinical benefit. Contemporary developments and technologies surrounding PROMs may help augment this benefit, including the application of artificial intelligence, novel PROM structure with improved interpretability and validity, and PROM delivery methods that provide increased access to patients resulting in greater compliance and data acquisition yields. Despite these exciting innovations, several challenges remain in this realm that must be addressed to continue to advance the clinical usefulness and subsequent benefit of PROMs. This review will highlight the opportunities and challenges surrounding contemporary PROM use in the orthopaedic subspecialties of pediatrics and sports medicine.

Magnitude of Incapability and Pain Intensity are Associated More with Unhelpful Thoughts Than Stressful Life Events.

Prior studies show that stressful life events are associated with greater magnitude of incapability and symptom intensity. We sought to understand the association of such events (i.e., both adverse childhood experiences and recent difficult life events [DLEs]) alongside feelings of worry or despair and unhelpful, on the magnitude of incapability and symptom intensity in musculoskeletal patients. One hundred and thirty-six patients presenting for musculoskeletal specialty care completed measures of incapability, pain intensity, adverse childhood experiences, DLEs in the last year, unhelpful thoughts, symptoms of anxiety and depression, and sociodemographic factors. Factors associated with the magnitude of incapability and pain intensity were sought in multivariable analysis. Accounting for potential confounders, greater incapability was associated with greater unhelpful thoughts (RC = -0.81; 95% CI = -1.2 to -0.42; P ≤ .001), but not with stressful life events (either during childhood or more recently). Greater pain intensity was associated with greater unhelpful thoughts(RC = 0.25; 95% CI = 0.16 to 0.35; P ≤ .001) and being divorced or widowed (RC = 1.8; 96% CI = 0.43 to 3.2; P = .011), but again, not with stressful life events. The strong association of unhelpful thoughts with magnitude of incapability and pain intensity can motivate musculoskeletal specialists to anticipate patients expressing negative pain thoughts and behaviors. Future studies might account for social and environmental context behind stressful life events and the influence of resiliency and pain-coping strategies on these interactions. Level of Evidence: Level III, prognostic study.

A Model for Evaluating Total Costs of Care and Cost Savings of Specialty Condition-Based Care for Hip and Knee Osteoarthritis in an Integrated Practice Unit.

OBJECTIVES: The viability of specialty condition-based care via integrated practice units (IPUs) requires a comprehensive understanding of total costs of care. Our primary objective was to introduce a model to evaluate costs and potential costs savings using time-driven activity-based costing comparing IPU-based nonoperative management with traditional nonoperative management and IPU-based operative management with traditional operative management for hip and knee osteoarthritis (OA). Secondarily, we assess drivers of incremental cost differences between IPU-based care and traditional care. Finally, we model potential cost savings through diverting patients from traditional operative management to IPU-based nonoperative management. METHODS: We developed a model to evaluate costs using time-driven activity-based costing for hip and knee OA care pathways within a musculoskeletal IPU compared with traditional care. We identified differences in costs and drivers of cost differences and developed a model to demonstrate potential cost savings through diverting patients from operative intervention. RESULTS: Weighted average costs of IPU-based nonoperative management were lower than traditional nonoperative management and lower in IPU-based operative management than traditional operative management. Key drivers of incremental cost savings included care led by surgeons in partnership with associate providers, modified physical therapy programs with self-management, and judicious use of intra-articular injections. Substantial savings were modeled by diverting patients toward IPU-based nonoperative management. CONCLUSIONS: Costing models involving musculoskeletal IPUs demonstrate favorable costs and cost savings compared with traditional management of hip or knee OA. More effective team-based care and utilization of evidence-based nonoperative strategies can drive the financial viability of these innovative care models.