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.

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.

Evaluating Osteoarthritis Management Programs: outcome domain recommendations from the OARSI Joint Effort Initiative.

OBJECTIVE: To develop sets of core and optional recommended domains for describing and evaluating Osteoarthritis Management Programs (OAMPs), with a focus on hip and knee Osteoarthritis (OA). DESIGN: We conducted a 3-round modified Delphi survey involving an international group of researchers, health professionals, health administrators and people with OA. In Round 1, participants ranked the importance of 75 outcome and descriptive domains in five categories: patient impacts, implementation outcomes, and characteristics of the OAMP and its participants and clinicians. Domains ranked as "important" or "essential" by ≥80% of participants were retained, and participants could suggest additional domains. In Round 2, participants rated their level of agreement that each domain was essential for evaluating OAMPs: 0 = strongly disagree to 10 = strongly agree. A domain was retained if ≥80% rated it ≥6. In Round 3, participants rated remaining domains using same scale as in Round 2; a domain was recommended as "core" if ≥80% of participants rated it ≥9 and as "optional" if ≥80% rated it ≥7. RESULTS: A total of 178 individuals from 26 countries participated; 85 completed all survey rounds. Only one domain, "ability to participate in daily activities", met criteria for a core domain; 25 domains met criteria for an optional recommendation: 8 Patient Impacts, 5 Implementation Outcomes, 5 Participant Characteristics, 3 OAMP Characteristics and 4 Clinician Characteristics. CONCLUSION: The ability of patients with OA to participate in daily activities should be evaluated in all OAMPs. Teams evaluating OAMPs should consider including domains from the optional recommended set, with representation from all five categories and based on stakeholder priorities in their local context.

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.

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.

Imposter Syndrome Among Surgeons Is Associated With Intolerance of Uncertainty and Lower Confidence in Problem Solving.

BACKGROUND: Feelings of imposter syndrome (inadequacy or incompetence) are common among physicians and are associated with diminished joy in practice. Identification of modifiable factors associated with feelings of imposter syndrome might inform strategies to ameliorate them. To this point, though, no such factors have been identified. QUESTION/PURPOSE: Are intolerance of uncertainty and confidence in problem-solving skills independently associated with feelings of imposter syndrome after accounting for other factors? METHODS: This survey-based experiment measured the relationship between feelings of imposter syndrome, intolerance of uncertainty, and confidence in problem-solving skills among musculoskeletal specialist surgeons. Approximately 200 surgeons who actively participate in the Science of Variation Group, a collaboration of mainly orthopaedic surgeons specializing in upper extremity illnesses primarily across Europe and North America, were invited to this survey-based experiment. One hundred two surgeons completed questionnaires measuring feelings of imposter syndrome (an adaptation of the Clance Imposter Phenomenon Scale), tolerance of uncertainty (the Intolerance of Uncertainty Scale-12), and confidence in problem-solving skills (the Personal Optimism and Self-Efficacy Optimism questionnaire), as well as basic demographics. The participants were characteristic of other Science of Variation Group experiments: the mean age was 52 ± 5 years, with 89% (91 of 102) being men, most self-reported White race (81% [83 of 102]), largely subspecializing in hand and/or wrist surgery (73% [74 of 102]), and with just over half of the group (54% [55 of 102]) having greater than 11 years of experience. We sought to identify factors associated with greater feelings of imposter syndrome in a multivariable statistical model. RESULTS: Accounting for potential confounding factors such as years of experience or supervision of trainees in the multivariable linear regression analysis, greater feelings of imposter syndrome were modestly associated with higher intolerance of uncertainty (regression coefficient [ß] 0.34 [95% confidence interval (CI) 0.16 to 0.51]; p < 0.01) and with lower confidence in problem-solving skills (ß -0.70 [95% CI -1.0 to -0.35]; p < 0.01). CONCLUSION: The finding that feelings of imposter syndrome may be modestly to notably associated with modifiable factors, such as difficulty managing uncertainty and lack of confidence in problem-solving, spark coaching opportunities to support and sustain a surgeon's mindset, which may lead to increased comfort and joy at work. CLINICAL RELEVANCE: Beginning with premedical coursework and throughout medical training and continuing medical education, future studies can address the impact of learning and practicing tactics that increase comfort with uncertainty and greater confidence in problem solving on limiting feelings of imposter syndrome.

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.

Practical Artificial Intelligence: Realistic Ways It Can Help Orthopaedic Surgeons and the Challenges It Will Face.

Artificial intelligence can improve various orthopaedic subspecialties in the next 5 to 10 years. There are several image recognition applications particularly in orthopedic trauma and orthopedic spine. Specifically, convolutional neural networks have been shown to work well for making diagnoses and recreating more advanced imaging form radiographs. There are many applications of artificial intelligence with predictive in total joint arthroplasty, particularly with shared decision making. And there are many day-to-day applications that can be improved with natural language processing, particularly administrative tasks. This includes several applications in billing and charting. When investigating the landscape of artificial intelligence in healthcare, there are many barriers to their adoption. This includes overcoming bias, incorporating new applications into clinical workflow, regulatory approval, and billing.

Integrating Mental and Social Health in Orthopaedic Practice: The Time Is Now.

Tremendous advances have been made in understanding the intimate relationships between physical, emotional, and social health. There is now a substantial body of evidence demonstrating that mental health and social health may have as much influence on patients' symptom intensity and level of capability-the key metrics of success in orthopaedic care-as pathophysiology. But as a specialty the focus remains mostly on biomedical management (which focuses on structural damage and technical solutions), rather than taking a biopsychosocial approach, which involves screening, measurement, and decision making that prioritizes mental and social health concerns. Failure to do so means orthopaedic surgeons fall short in delivering whole-person care. It is important to highlight the biopsychosocial model of health and healthcare; describe the evidence for mental and social health in orthopaedic practice; outline strategies to identify, measure, and manage psychological and social concerns; and provide frameworks to implement comprehensive models of orthopaedic care that promise to benefit patients, populations, and health systems.

Utility of the LET-IN-OUT Clinical Decision Support Tool for Medical Risk Stratification Prior to Outpatient Total Hip or Knee Arthroplasty.

BACKGROUND: Musculoskeletal care teams can benefit from simple, standardized, and reliable preoperative tools for assessing discharge disposition after total joint arthroplasty. Our objective was to compare the predictive strength of the Ascension Seton Lower Extremity Inpatient-Outpatient (LET-IN-OUT) tool versus the American Society of Anesthesiologists Physical Status (ASA-PS) score for predicting early postoperative discharge. METHODS: We retrospectively extracted sociodemographic, surgical admission, postoperative day (POD) of discharge, 90-day readmissions, and predictions of the LET-IN-OUT and ASA-PS tools from the electronic records of 563 consecutive hip or knee arthroplasty patients (mean age 65 [SD 9.6], 54% women). Included patients who underwent a total hip arthroplasty (THA) or total knee arthroplasty (TKA) at a single health system between June 2020 and March 2021. We performed descriptive statistics and analyzed predictive values of each tool, defining "early discharge" primarily as discharge before the second postoperative day (POD 2), and secondarily as before 24 hours, and on the same calendar day (POD 0) as surgery. RESULTS: The LET-IN-OUT tool demonstrated superior predictive power among hip and knee arthroplasty patients compared to the ASA-PS tool for discharge prior to POD 2 (positive predictive value [PPV] 89 versus 83%, positive likelihood ratio [+LR] 2.0 versus 1.2), discharge before 24 hours (PPV 86 versus 70%, +LR 2.9 versus 1.2), and discharge on POD 0 (PPV 34% versus 30%, +LR 1.2 versus 1.1). CONCLUSIONS: The Ascension Seton Lower Extremity Inpatient-Outpatient tool predicted patients suitable for early discharge following THA or TKA and did so more effectively than the ASA-PS score.

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.

Factors associated with involving the social worker in whole person, team based outpatient musculoskeletal care.

The musculoskeletal community is increasingly recognizing the importance of addressing mental and social health opportunities and incorporating psychosocial support in outpatient care. This secondary analysis of a longitudinal study evaluating the management of upper extremity conditions in a musculoskeletal integrated practice unit involving 102 adult patients (63% women, mean age 49 ± 13 years), aimed to identify demographic, clinical and psychosocial variables associated with involvement of an immediately available social worker. Additionally, we assess factors associated with patients seeking second opinions and level of self-efficacy. The only factor independently associated with meeting a social worker was greater symptoms of depression. There were no factors associated with presenting for advice from a second specialist. Self-efficacy score below 10 was independently associated with higher BMI, conditions involving the shoulder or upper arm compared to the hand or wrist, and greater symptoms of depression. When a social worker is available in an upper extremity practice, they are most welcomed and helpful for people with notable symptoms of depression, likely because a depression screen was used as a trigger for involvement. Less adaptive response to painful illness may be easier to measure and discuss, with the potential to increase attention to mental and social health.

Clinician Facial Expression of Emotion Corresponds with Patient Mindset.

BACKGROUND: Mental health has a notable and perhaps underappreciated relationship with symptom intensity related to musculoskeletal pathophysiology. Tools for increasing awareness of mental health opportunities may help musculoskeletal specialists identify and address psychological distress and unhealthy misconceptions with greater confidence. One such type of technology-software that identifies emotions by analyzing facial expressions-could be developed as a clinician-awareness tool. A first step in this endeavor is to conduct a pilot study to assess the ability to measure patient mental health through specialist facial expressions. QUESTIONS/PURPOSES: (1) Does quantification of clinician emotion using facial recognition software correlate with patient psychological distress and unhealthy misconceptions? (2) Is there a correlation between clinician facial expressions of emotions and a validated measure of the quality of the patient-clinician relationship? METHODS: In a cross-sectional pilot study, between April 2019 and July 2019, we made video recordings of the clinician's face during 34 initial musculoskeletal specialist outpatient evaluations. There were 16 men and 18 women, all fluent and literate in English, with a mean age of 43 ± 15 years. Enrollment was performed according to available personnel, equipment, and room availability. We did not track declines, but there were only a few. Video recordings were analyzed using facial-emotional recognition software, measuring the proportion of time spent by clinicians expressing measured emotions during a consultation. After the visit, patients completed a demographic questionnaire and measures of health anxiety (the Short Health Anxiety Inventory), fear of painful movement (the Tampa Scale for Kinesiophobia), catastrophic or worst-case thinking about pain (the Pain Catastrophizing Scale), symptoms of depression (the Patient Health Questionnaire), and the patient's perception of the quality of their relationship with the clinician (Patient-Doctor Relationship Questionnaire). RESULTS: Clinician facial expressions consistent with happiness were associated with less patient health anxiety (r = -0.59; p < 0.001) and less catastrophic thinking (r = -0.37; p = 0.03). Lower levels of clinician expressions consistent with sadness were associated with less health anxiety (r = 0.36; p = 0.04), fewer symptoms of generalized anxiety (r = 0.36; p = 0.03), and less catastrophic thinking (r = 0.33; p = 0.05). Less time expressing anger was associated with greater health anxiety (r = -0.37; p = 0.03), greater symptoms of anxiety (r = -0.46; p < 0.01), more catastrophic thinking (r = -0.38; p = 0.03), and greater symptoms of depression (r = -0.42; p = 0.01). More time expressing surprise was associated with less health anxiety (r = -0.44; p < 0.01) and symptoms of depression (r = -0.52; p < 0.01). More time expressing fear was associated with less kinesiophobia (r = -0.35; p = 0.04). More time expressing disgust was associated with less catastrophic thinking (r = -0.37; p = 0.03) and less health anxiety (GAD-2; r = -0.42; p = 0.02) and symptoms of depression (r = -0.44; p < 0.01). There was no association between a clinicians' facial expression of emotions and patient experience with patient-clinician interactions. CONCLUSION: The ability to measure a patient's mindset on the clinician's face confirms that clinicians are registering the psychological aspects of illness, whether they are consciously aware of them or not. Future research involving larger cohorts of patients, mapping clinician-patient interactions during consultation, and more sophisticated capture of nonverbal and verbal cues, including a broader range of emotional expressions, may help translate this innovation from the research setting to clinical practice. CLINICAL RELEVANCE: Tools for measuring emotion through facial recognition could be used to train clinicians to become aware of the psychological aspects of health and to coach clinicians on effective communication strategies both for gentle reorientation of common misconceptions as well as for appropriate and timely diagnosis and treatment of psychological distress.

Editorial Commentary: The Value of Time-Driven, Activity-Based Costing in Health Care Delivery.

Time-driven activity-based costing (TDABC) provides a powerful approach to more targeted cost accounting based on resources actually used by patients during a cycle of care. Since its introduction in 2004 by Kaplan and Anderson, TDABC has gained increasing popularity in defining the actual costs of care for various orthopaedic processes and pathways. TDABC may demonstrate lower costs of care compared with traditional cost accounting methods, including ratio of costs to charges and relative value units. Weaknesses of traditional methods include approaching costs through the lens of charges, revenue, processes and procedures, adopting a "top-down" approach, and potentially overestimating costs. In contrast, TDABC builds costs from the individual level, taking a front-line, condition-focused, and patient-centered view. Existing organizational decision-making is oriented around revenue metrics (relative value units and ratio of costs to charges) rather than cost metrics, yet alternative payment models are shifting toward fixed revenues for certain conditions or procedures. The variability, including both financial upside and loss, will primarily be a function of the cost of care-a number that is profoundly opaque in most health care settings. We view TDABC as an approach that sheds light on variation, offers a more granular differentiation of costs compared with traditional approaches, mitigates risk, and sparks opportunities for increasing operational efficiency and waste reduction. The goal is to identify and provide the greatest-value orthopaedic care.

Metric Selection, Metric Targets, and Risk Adjustment Should be Considered in the Design of Gainsharing Models for Bundled Payment Programs in Total Joint Arthroplasty.

BACKGROUND: Under bundled payment models, gainsharing presents an important mechanism to ensure engagement and reward innovation. We hypothesized that metric selection, metric targets, and risk adjustment would impact surgeons' performance in gainsharing models. METHODS: Patients undergoing total joint arthroplasty at an urban health system from 2017 to September 2018 were included. Gainsharing metrics included the following: length of stay, % discharge-to-home, 90-day readmission rate, % of patients with episode spend under target price, and % of patients with patient-reported outcomes (PROs) collected. Four scenarios were created to evaluate how metric selection/adjustment impacted surgeons' performance designation: scenario 1 used "aspirational targets" (>60th percentile), scenario 2 used "acceptable targets" (>50th percentile), scenario 3 risk-adjusted surgeon performance prior to comparing aspirational targets, and scenario 4 included a PRO collection metric. Number of metrics achieved determined performance tier, with higher tiers getting a greater share of the gainsharing pool. RESULTS: In total, 2776 patients treated by 12 surgeons met inclusion criteria (mean length of stay 3.0 days, readmission rate 4.0%, discharge-to-home 74%, episode spend under target price 85%, PRO collection 56%). Lowering of metric targets (scenario 1 vs. 2) resulted in a 75% increase in the number of high performers and 98% of the gainsharing pool being eligible for distribution. Risk adjustment (scenario 3) caused 50% of providers to move to higher performance tiers and potential payments to increase by 28%. Adding the PRO metric did not change performance. CONCLUSION: Quality metric/target selection and risk adjustment profoundly impact surgeons' performance in gainsharing contracts. This impacts how successful these contracts can be in driving innovation and dis-incentivizing the "cherry picking" of patients. LEVEL OF EVIDENCE: Level III.

What General and Pain-associated Psychological Distress Phenotypes Exist Among Patients with Hip and Knee Osteoarthritis?

BACKGROUND: Psychological distress can negatively influence disability, quality of life, and treatment outcomes for individuals with hip and knee osteoarthritis (OA). Clinical practice guidelines recommend a comprehensive disease management approach to OA that includes the identification, evaluation, and management of psychological distress. However, uncertainty around the best psychological screening and assessment methods, a poor understanding of the heterogeneity of psychological distress in those with OA, and lack of guidance on how to scale treatment have limited the growth of OA care models that effectively address individual psychological needs. QUESTIONS/PURPOSES: (1) Across which general and pain-related psychological distress constructs do individuals seeking conservative care for hip or knee OA report higher scores than the general population of individuals seeking conservative care for musculoskeletal pain conditions? (2) What common psychological phenotypes exist among nonsurgical care-seeking individuals with hip or knee OA? METHODS: The sample included participants from the Duke Joint Health Program (n = 1239), a comprehensive hip and knee OA care program, and the Optimal Screening for Prediction of Referral and Outcome (OSPRO) cohort studies (n = 871) comprising individuals seeking conservative care for knee, shoulder, low back, or neck pain. At the initial evaluation, patients completed the OSPRO Yellow Flag (OSPRO-YF) Assessment Tool, which assesses 11 general and pain-related psychological distress constructs (depression, anxiety, fear of movement, self-efficacy for managing one's own pain). We used OSPRO-YF scores to compare levels of psychological distress between the cohorts. Cohen's d effect sizes were calculated to determine the magnitude of differences between the groups, with d = 0.20, d = 0.50, and d = 0.80 indicating small, medium, and large effect sizes, respectively. We used a latent class analysis to derive psychological distress phenotypes in people with OA based on the 11 OSPRO-YF psychological distress indicators. Psychological distress phenotypes are characterized by specific mood, belief, and behavioral factors that differentiate subgroups within a population. Phenotyping can help providers develop scalable treatment pathways that are better tailored to the common needs of patients. RESULTS: Patients with OA demonstrated higher levels of general and pain-related psychological distress across all psychological constructs except for trait anxiety (that is, anxiety level as a personal characteristic rather than as a response to a stressful situation, like surgery) with small-to-moderate effect sizes. Characteristics with the largest effect sizes in the OA and overall OSPRO cohort were (Cohen's d) general anxiety (-0.66, lower in the OA cohort), pain catastrophizing (the tendency to ruminate over, maginfiy, or feel helpless about a pain experience, 0.47), kinesiophobia (pain-related fear of movement, 0.46), pain self-efficacy (confidence in one's own ability to manage his or her pain, -0.46, lower in the OA cohort), and self-efficacy for rehabilitation (confidence in one's own ability to perform their rehabilitation treatments, -0.44, lower in the OA cohort). The latent class analysis yielded four phenotypes (% sample): high distress (52%, 647 of 1239), low distress (26%, 322 of 1239), low self-efficacy and acceptance (low confidence in managing and willingness to accept pain) (15%, 186 of 1239), and negative pain coping (exhibiting poor pain coping skills) (7%, 84 of 1239). The classification error rate was near zero (2%), and the median of posterior probabilities used to assign subgroup membership was 0.99 (interquartile range 0.98 to 1.00), both indicating excellent model performance. The high-distress group had the lowest mean age (61 ± 11 years) and highest levels of pain intensity (6 ± 2) and disability (HOOS JR: 50 ± 15; KOOS JR: 47 ± 15), whereas the low-distress group had the highest mean age (63 ± 10 years) and lowest levels of pain (4 ± 2) and disability (HOOS JR: 63 ± 15; KOOS JR: 60 ± 12). However, none of these differences met or exceeded anchor-based minimal clinically important difference thresholds. CONCLUSIONS: General and pain-related psychological distress are common among individuals seeking comprehensive care for hip or knee OA. Predominant existing OA care models that focus on biomedical interventions, such as corticosteroid injection or joint replacement that are designed to directly address underlying joint pathology and inflammation, may be inadequate to fully meet the care-related needs of many patients with OA due to their underlying psychological distress. We believe this because biomedical interventions do not often address psychological characteristics, which are known to influence OA-related pain and disability independent of joint pathology. Healthcare providers can develop new comprehensive hip and knee OA treatment pathways tailored to these phenotypes where services such as pain coping skills training, relaxation training, and psychological therapies are delivered to patients who exhibit phenotypes characterized by high distress or negative pain coping. Future studies should evaluate whether tailoring treatment to specific psychological phenotypes yields better clinical outcomes than nontailored treatments, or treatments that have a more biomedical focus. LEVEL OF EVIDENCE: Level III, diagnostic study.

A Strategic Approach to Introducing New Technology Into Orthopaedic Practices.

Orthopaedic surgeons have a strong legacy for the early of adoption of new technologies that promise to advance patient care. Such technologies are being developed at an extraordinary pace, leveraging advances in orthobiologics and cartilage restoration, surgical navigation, robotic surgery, 3-D printing, and manufacturing of customized implants and sensors. The functionality provided by this revolution is impressive, promising substantial benefits for patients. However, the value of these technologies resides not in their "newness" but in the ability to improve outcomes for patients and reduce overall costs of care. Deciding whether a new technology brings value to an orthopaedic practice can be difficult, especially in an environment of rising health care costs, abundant choice, competition, consumer pressures, variable quality in supporting data, and a shifting regulatory landscape. In this article, we explore the drivers for orthopaedic companies, institutions, and care providers to develop, evaluate, and incorporate new technology. We outline the technology innovation cycle and the major demographic and psychosocial characteristics of adopter groups. We introduce factors considered in evaluating new technologies, such as patient safety, product efficacy, regulatory issues, and their value. Finally, we summarize the ethical concerns associated with new technology, alongside education and training, network security, financial remuneration and informed consent. This article aims to empower orthopaedic surgeons with a balanced and critical approach to ensure the adoption of new technologies in a safe, effective, and ethical manner.