Quantifying Patient Expectations for Total Knee Arthroplasty: Expectations for Improvement Are Greater Than Minimal Clinically Important Difference.

BACKGROUND: Achieving a minimal clinically important difference (MCID) in patient-reported outcomes following total knee arthroplasty (TKA) is common, yet up to 20% patient dissatisfaction persists. Unmet expectations may explain post-TKA dissatisfaction. No prior studies have quantified patient expectations using the same patient-reported outcome metric as used for MCID to allow direct comparison. METHODS: This was a prospective study of patients undergoing TKA with 5 fellowship-trained arthroplasty surgeons at one academic center. Baseline Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) and Pain Interference (PI) domains were assessed. Expected PROMIS scores were determined by asking patients to indicate the outcomes they were expecting at 12 months postoperatively. Predicted scores were generated from a predictive model validated in the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) dataset. T-tests were used to compare baseline, expected, and predicted PROMIS scores. Expected scores were compared to PROMIS MCID values obtained from the literature. Regression models were used to identify patient characteristics associated with high expectations. RESULTS: There were 93 patients included. Mean age was 67 years (range, 30 to 85) and 55% were women. Mean baseline PROMIS PF and PI was 34.4 ± 6.7 and 62.2 ± 6.4, respectively. Patients expected significant improvement for PF of 1.9 times the MCID (MCID = 11.3; mean expected improvement = 21.6, 95% confidence interval [CI] 19.6 to 23.5, P < .001) and for PI of 2.3 times the MCID (MCID = 8.9; mean expected improvement = 20.6, 95% CI 19.1-22.2, P < .001). Predicted scores were significantly lower than expected scores (mean difference = 9.5, 95% CI 7.7 to 11.3, P < .001). No unique patient characteristics were associated with high expectations (P > .05). CONCLUSIONS: To our knowledge, this study is the first to quantify preoperative patient expectations using the same metric as MCID to allow for direct comparison. Patient expectations for improvement following TKA are ∼2× greater than MCID and are significantly greater than predicted outcome scores. This discrepancy challenges currently accepted standards of success after TKA and indicates a need for improved expectation setting prior to surgery.

Social risk and patient-reported outcomes after total knee replacement: Implications for Medicare policy.

OBJECTIVE: To determine whether county-level or patient-level social risk factors are associated with patient-reported outcomes after total knee replacement when added to the comprehensive joint replacement risk-adjustment model. DATA SOURCES AND STUDY SETTING: Patient and outcomes data from the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement cohort were merged with the Social Vulnerability Index from the Centers for Disease Control and Prevention. STUDY DESIGN: This prospective longitudinal cohort measured the change in patient-reported pain and physical function from baseline to 12 months after surgery. The cohort included a nationally diverse sample of adult patients who received elective unilateral knee replacement between 2012 and 2015. DATA COLLECTION/EXTRACTION METHODS: Using a national network of over 230 surgeons in 28 states, the cohort study enrolled patients from diverse settings and collected one-year outcomes after the surgery. Patients <65 years of age or who did not report outcomes were excluded. PRINCIPAL FINDINGS: After adjusting for clinical and demographic factors, we found patient-reported race, education, and income were associated with patient-reported pain or functional scores. Pain improvement was negatively associated with Black race (CI = -8.71, -3.02) and positively associated with higher annual incomes (≥$45,00) (CI = 0.07, 2.33). Functional improvement was also negatively associated with Black race (CI = -5.81, -0.35). Patients with higher educational attainment (CI = -2.35, -0.06) reported significantly less functional improvement while patients in households with three adults reported greater improvement (CI = 0.11, 4.57). We did not observe any associations between county-level social vulnerability and change in pain or function. CONCLUSIONS: We found patient-level social factors were associated with patient-reported outcomes after total knee replacement, but county-level social vulnerability was not. Our findings suggest patient-level social factors warrant further investigation to promote health equity in patient-reported outcomes after total knee replacement.

Evaluation of emergency department treat-and-release encounters after major gastrointestinal surgery.

BACKGROUND AND OBJECTIVES: Emergency department (ED) utilization after gastrointestinal cancer operations is poorly characterized. Our study objectives were to determine the incidence of, reasons for, and predictors of ED treat-and-release encounters after gastrointestinal cancer operations. METHODS: Patients who underwent elective esophageal, hepatobiliary, gastric, pancreatic, small intestinal, or colorectal operations for cancer were identified in the 2015-2017 Healthcare Cost and Utilization Project State Inpatient and State Emergency Department Databases for New York, Maryland, and Florida. The primary outcomes were the incidence of ED treat-and-release encounters and readmissions within 30 days of discharge. RESULTS: Among 51 527 patients at 406 hospitals, 4047 (7.9%) had an ED treat-and-release encounter, and 5573 (10.8%) had an ED encounter with readmission. In total, 40.7% of ED encounters were treat-and-release encounters. ED treat-and-release encounters were most frequently for pain (12.0%), device/ostomy complaints (11.7%), or wound complaints (11.4%). ED treat-and-release encounters predictors included non-Hispanic Black race/ethnicity (odds ratio [OR] 1.24, 95% confidence interval [CI] 1.12-1.37) and Medicare (OR 1.27, 95% CI 1.16-1.40) or Medicaid (OR 1.82, 95% CI 1.62-2.40) coverage. CONCLUSIONS: ED treat-and-release encounters are common after major gastrointestinal operations, making up nearly half of postdischarge ED encounters. The reasons for ED treat-and-release encounters differ from those for ED encounters with readmissions.

Barriers and Facilitators to Implementing Patient-Reported Outcome Monitoring in Gastrointestinal Surgery.

INTRODUCTION: More than 30% of patients experience complications after major gastrointestinal (GI) surgery, many of which occur after discharge when patients and families must assume responsibility for monitoring. Patient-reported outcomes (PROs) have been proposed as a tool for remote monitoring to identify deviations in recovery, and recognize and manage complications earlier. This study's objective was to characterize barriers and facilitators to the use of PROs as a patient monitoring tool following GI surgery. METHODS: We conducted semistructured interviews with GI surgery patients and clinicians (surgeons, nurses, and advanced practitioners). Patients and clinicians were asked to describe their experience using a PRO monitoring system in three surgical oncology clinics. Using a phenomenological approach, research team dyads independently coded the transcripts using an inductively developed codebook and the constant comparative approach with differences reconciled by consensus. RESULTS: Ten patients and five clinicians participated in the interviews. We identified four overarching themes related to functionality, workflow, meaningfulness, and actionability. Functionality refers to barriers faced by clinicians and patients in using the PRO technology. Workflow represents problematic integration of PROs into the clinical workflow and need for setting expectations with patients. Meaningfulness refers to lack of patient and clinician understanding of the impact of PROs on patient care. Finally, actionability reflects barriers to follow-up and practical use of PRO data. CONCLUSIONS: While use of PRO systems for postoperative patient monitoring have expanded, significant barriers persist for both patients and clinicians. Implementation enhancements are needed to optimize functionality, workflow, meaningfulness, and actionability.

How Much Perioperative Pain and Dysfunction Underlie the HOOS JR and KOOS JR?

BACKGROUND: The Hip Disability and Osteoarthritis Outcome Score Joint Replacement (HOOS JR) and Knee Injury and Osteoarthritis Outcome Score Joint Replacement (KOOS JR) scores represent pain and dysfunction as a single number ranging from 0 (extreme pain and dysfunction) to 100 (no pain or functional limitations). However, scores between 0 and 100 lack a simple interpretation because they reflect varying combinations of pain levels and dysfunction. Given that most adverse events and improvement occur within the first 90 days after surgery, a deeper understanding of the level of pain and dysfunction may reveal missed opportunities for patient care. QUESTIONS/PURPOSES: (1) What does a given preoperative or postoperative HOOS JR and KOOS JR score indicate about pain and ability to perform daily activities? (2) How much of a change in score (that is, delta) is needed to indicate significant improvement in pain control and daily functioning? METHODS: The Michigan Arthroplasty Registry Collaborative Quality Initiative contains more than 95% of THAs and TKAs performed in Michigan. Between January 2017 and March 2019, 84,175 people in the registry underwent primary THA or TKA and were potentially eligible for this retrospective, comparative study of the first 90 postoperative days. Eighty-four percent (70,608 of 84,175) were excluded because their surgeons did not attain a target survey collection proportion of 70% and another 6% (5042) were missing covariate information or surveys, leaving 10% (8525) for analysis. The mean age and percentage of women were 65 ± 11 years and 55% (2060 of 3716), respectively, for patients undergoing THA and 67 ± 9 years and 61% (2936 of 4809), respectively, for those undergoing TKA. There were no clinically meaningful differences between patients who were analyzed and those who were excluded except for lower representation of non-White patients in the analyzed group. For interpretation, patient responses to Question 7 (pain) and Question 6 (function) from the Patient-Reported Outcomes Measurement Information System global items (PROMIS-10) were dichotomized into "much pain" (rating of pain 4 to 10 of 10) versus "less pain" (rating of ≤ 3) and "good function" (able to perform most activities) versus "poor function" (not able to perform most activities) and combined into four pain-function categories. We examined the mean preoperative and postoperative HOOS JR and KOOS JR scores for each pain-function category, adjusted for patient characteristics. We calculated the size of the delta associated with an increase to a more favorable category postoperatively (versus staying in the same or worse category) via multivariable logistic regression that controlled for patient characteristics. RESULTS: Patients in the least favorable "much pain, poor function" category preoperatively had adjusted mean scores of 40 (95% confidence interval 39 to 41) for both the HOOS JR and KOOS JR. Those with mixed levels of pain and function had mean scores between 46 and 55. Those in the most favorable "less pain, good function" category had means of 60 (95% CI 58 to 62) and 59 (95% CI 58 to 61) for the HOOS JR and KOOS JR, respectively. The adjusted delta to achieve a pain level of ≤ 3 or the ability to perform most activities was 30 (95% CI 26 to 36) on the HOOS JR and 27 (95% CI 22 to 29) on the KOOS JR scales. CONCLUSION: These adjusted means of the HOOS JR and KOOS JR provide context for understanding the levels of pain and dysfunction for individuals as well for patients reported in other studies. Potential quality improvement efforts could include tracking the proportion of patients with THA or TKA who achieved a sufficient delta to attain pain levels of ≤ 3 or the ability to perform most activities. Future studies are needed to understand pain and function represented by the HOOS JR and KOOS JR at 1 to 2 years, how these may differ by patient subgroups, and whether scores can be improved through quality improvement efforts. LEVEL OF EVIDENCE: Level III, therapeutic study.

Equity-Driven Implementation of Patient-Reported Outcome Measures in Musculoskeletal Care: Advancing Value for All.

ABSTRACT: The clinical use of patient-reported outcome measures (PROMs) in musculoskeletal care is expanding, encompassing both individual patient management and population-level applications. However, without thoughtful implementation, we risk introducing or exacerbating disparities in care processes or outcomes. We outline examples of opportunities, challenges, and priorities throughout PROM implementation to equitably advance value-based care at both the patient and population level. Balancing standardization with tailored strategies can enable the large-scale implementation of PROMs while optimizing care processes and outcomes for all patients.

Incorporating Expected Outcomes Into Clinical Decision-Making for Total Knee Arthroplasty.

OBJECTIVE: Expected outcomes (e.g., expected survivorship after a cancer treatment) have improved decision-making around treatment options in many clinical fields. Our objective was to evaluate the effect of expected values of 3 widely available total knee arthroplasty (TKA) outcomes (risk of serious complications, time to revision, and improvement in pain and function at 2 years after surgery) on clinical recommendation of TKA. METHODS: The RAND/University of California Los Angeles appropriateness criteria method was used to evaluate the role of the 3 expected outcomes in clinical recommendation of TKA. The expected outcomes were added to 5 established preoperative factors from the modified Escobar appropriateness criteria. The 8 indication factors were used to develop 279 clinical scenarios, and a panel of 9 clinicians rated the appropriateness of TKA for each scenario as inappropriate, inconclusive, and appropriate. Classification tree analysis was applied to these ratings to identify the most influential of the 8 factors in discriminating TKA appropriateness classifications. RESULTS: Ratings for the 279 appropriateness scenarios deemed 34.4% of the scenarios as appropriate, 40.1% as inconclusive, and 25.5% as inappropriate. Classification tree analyses showed that expected improvement in pain and function and expected time to revision were the most influential factors that discriminated among the TKA appropriateness classification categories. CONCLUSION: Our results showed that clinicians would use expected postoperative outcome factors in determining appropriateness for TKA. These results call for further work in this area to incorporate estimates of expected pain/function and revision outcomes into clinical practice to improve decision-making for TKA.

Patients' perspectives on the benefits of feedback on patient-reported outcome measures in a web-based personalized decision report for hip and knee osteoarthritis.

BACKGROUND: Applications of patient-reported outcome measures (PROMs) for individual patient management are expanding with the support of digital tools. Providing PROM-based information to patients can potentially improve care experiences and outcomes through informing and activating patients. This study explored patients' perspectives on the benefits of receiving feedback on PROMs in the context of a web-based personalized decision report to guide care for their hip or knee osteoarthritis. METHODS: This qualitative descriptive interview study was nested in a pragmatic clinical trial of a personalized report, which includes descriptive PROM scores and predicted postoperative PROM scores. Patients completed a semi-structured interview within 6 weeks of an office visit with an orthopaedic surgeon. Only patients who reported receiving the report and reviewing it with the surgeon and/or a health educator were included. Data were iteratively analyzed using a combination of deductive and inductive coding strategies. RESULTS: Twenty-five patients aged 49-82 years (60% female, 72% surgical treatment decision) participated and described three primary benefits of the PROM feedback within the report: 1. Gaining Information About My Health Status, including data teaching new information, confirming what was known, or providing a frame of reference; 2. Fostering Communication Between Patient and Surgeon, encompassing use of the data to set expectations, ask and answer questions, and facilitate shared understanding; and 3. Increasing My Confidence and Trust, relating to the treatment outcomes, treatment decision, and surgeon. CONCLUSIONS: Patients identified actual and hypothetical benefits of receiving feedback on PROM scores in the context of a web-based decision report, including advantages for those who had already made a treatment decision before seeing the surgeon. Findings provide insight into patients' perspectives on how digital PROM data can promote patient-centered care. Results should be considered in the context of the homogeneous sample and complex trial. While participants perceived value in this personalized report, questions remain regarding best practices in patient-facing data presentation and engagement. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03102580. Registered on 5 April 2017.

The Prevalence and Predictors of Patient Dissatisfaction 5-years Following Primary Total Knee Arthroplasty.

BACKGROUND: Previous studies have evaluated patient dissatisfaction after total knee arthroplasty (TKA) at 1 year, but there is no data about the prevalence of dissatisfaction among TKA patients after prolonged follow-up. The purpose of this study is to determine patient dissatisfaction 5-years after TKA and to identify patient factors predictive of dissatisfaction. METHODS: Demographic and clinical data on 4402 patients undergoing primary unilateral TKA between 2012 and 2015 were collected prospectively through the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) comparative effectiveness consortium including diverse community and academic practices distributed across 23 states in the United States. Data collected at 1 year preoperatively and 5 years postoperatively included patient satisfaction (using a 5-point Likert satisfaction scale) and patient-reported outcome measures (PROMs) including the Knee injury and Osteoarthritis Outcome Score (KOOS) and Short-Form health survey (36-item). A univariate analysis of the difference between the satisfied and dissatisfied patients' groups was performed. A multivariate logistic regression model with 95% confidence interval (CI) was used to identify independent predictors of dissatisfaction at 5 years. The regression model was performed after adjusting the following variables: age, gender, body mass index (BMI), Charlson Comorbidity Index (CCI), marital status, smoking, education, and insurance type. The Receiver Operating Characteristic (ROC) analysis was performed with the measurement of area under curve (AUC). Hosmer-Lemeshow goodness of fit test was performed to evaluate the validity of the model. RESULTS: A total of 12.7% patients (559/4402) reported dissatisfaction 5-years after TKA. Increased BMI, higher CCI, higher Oswestry disability index, and increased number of other painful lower extremities (LE) joints were significantly associated with dissatisfaction. Higher rates of dissatisfaction were present in young patients, patients with less education, and non-White patients. Patient dissatisfaction was significantly associated with poor preoperative and 5-year postoperative PROMs scores and less score improvement from baseline to 5 years (P < .001). The multivariate regression analysis showed that an increased number of other painful LE joints (OR = 1.81; 95% CI (1.14-2.88) (P = .01), increased Oswestry back disability index (OR = 1.40; 95% CI (1.07-1.82) (P = .01), non-White patients (OR = 1.74; 95% CI (1.26-2.40) (P = .001), and minimal preoperative functional disability with KOOS function in daily living (ADL) score ≥70 (OR = 0.64; 95% CI (0.43-0.95) (P = .02) were independent predictive factors for dissatisfaction at 5 years. CONCLUSION: A total of 12.7% patients reported dissatisfaction 5-years after TKA. Clinical profiles of the satisfied and dissatisfied patients were captured 5-years after TKA with differences in the preoperative demographic and clinical characteristic variables identified. Risk factors for long-term patient dissatisfaction after TKA have been identified and should be considered during shared decision making while planning for TKA. Surgeons should use these identified risk factors to set realistic expectations for patients at an increased risk for dissatisfaction aiming to optimize their outcomes and increase their long-term satisfaction after TKA.

Do Patient Outcomes Vary by Patient Age Following Primary Total Hip Arthroplasty?

BACKGROUND: Multiple authors have sought to determine what patient characteristics influence outcome after total hip arthroplasty (THA). Age has shown no effect on outcome in some evaluations, while others have reported higher functional improvement in younger patients. The aim of this study was to determine if outcome after THA varies based on patient age. METHODS: A prospective, multicenter cohort of 7,934 unilateral primary THA patients from the FORCE-TJR comparative effectiveness consortium was evaluated. Demographic data, comorbid conditions, and Patient-Reported Outcome Measures, including (HOOS), HOOS-12, HOOS JR, and SF-36 (PCS) and (MCS), were collected preop and at 1-year postop. Descriptive statistics were generated, stratified by age (<55 years [younger adult], 55-64 years [older adult], 65-74 years [early elder], and ≥75 years [late elder]), and differences in pain, function, and quality of life among the 4 age groups were evaluated. A multivariate regression model with 95% confidence interval (CI) was used to assess the role of patient age as a predictive factor for HOOS pain and function scores reported 1 year after primary THA. RESULTS: Prior to surgery, younger patients (<55 years) reported worse pain, function, and quality of life than the other 3 patient groups. At 1 year after THA, younger patients (<55 years) reported slightly worse pain and quality of life but better function scores than the 3 older patients' groups. Younger patients (<55 years) achieved higher baseline to 1-year pain, and function score changes when compared to the older patients' groups. The quality of life score changes was not different among the 4 age groups. The differences in 1-year postop scores (ranging from 2.74 to 8.46) and the magnitude of score changes from baseline to 1 year (ranging from 1.9 to 5.85), although statistically significant (P < .001), did not reach the minimal clinically important difference (MCID). The multivariate regression analysis shows that age is a significant predictor for pain at 1 year but not for function. Although HOOS pain score is predicted to be higher by 4.38 points (less pain) 1 year after THA in older patients (≥75), when compared to younger patients (<55 years), again the difference is well below the MCID and is clinically insignificant. CONCLUSION: Although there are statistically significant differences in pain relief, functional improvement, and quality of life between younger and older patients among different patients' age groups, there is no clinically significant difference. THA provides an improvement in quality of life by decreasing pain and increasing function in all 4 age groups, with large improvements in Patient-Reported Outcome Measures scores (>2 standard deviations) without clinically significant age-related differences in THA outcome at 1 year.

Linking the KOOS-PS to PROMIS Physical Function in Knee Patients Evaluated for Surgery.

INTRODUCTION: The Knee Injury and Osteoarthritis Outcome Score-Physical Function Short-form and the Patient-Reported Outcomes Measurement Information System Physical Function are widely used patient-reported outcome measures in orthopaedic practice and research. It would be helpful for clinicians and researchers to compare scores obtained on one instrument with those collected on another. To achieve this goal, this study conducted a linking analysis and computed a crosswalk table between these two scales. DATA: The data of this study were collected as part of the clinical care of total knee arthroplasty patients in a large urban and suburban health system. The sample was a mix of responses from nonsurgical (no surgery performed), preoperative (before surgical intervention), and postoperative (after surgical intervention) groups. METHODS: This study applied five linking methods: the item response theory (IRT)-based linking methods including fixed-parameter calibration, separate-parameter calibration with Stocking-Lord constants, and calibrated projection; and the equipercentile methods with log-linear smoothing and nonsmoothing approaches. Before conducting the linking analysis, we checked the linking assumptions including the similar content of the two scales, the unidimensionality of the combined scales, and the population invariance. The results of the five linking methods were evaluated by mean difference, SD, root-mean-squared deviation, intraclass correlation coefficient of the observed T scores and the crosswalk-derived T scores. RESULTS: The linking assumptions were all met. T scores generated from the Stocking-Lord crosswalk had the smallest mean difference (= -0.03) and relatively small SD (= 4.91) and root-mean-squared deviation (= 4.91) among the five linking methods. We validated this crosswalk in a larger sample with the nonsurgical, preoperative, and postoperative groups and in an external sample. DISCUSSION: This study provides clinicians and researchers a practical tool (ie, a crosswalk table) to link scores from two popular physical function measures. Given the diversity of patient-reported outcome measures in use for knee conditions, these crosswalk tables would accelerate clinical and research interpretation of aggregating functional outcomes among the patients evaluated for knee surgery each year.

Collection and Reporting of Patient-reported Outcome Measures in Arthroplasty Registries: Multinational Survey and Recommendations.

BACKGROUND: Patient-reported outcome measures (PROMs) are validated questionnaires that are completed by patients. Arthroplasty registries vary in PROM collection and use. Current information about registry collection and use of PROMs is important to help improve methods of PROM data analysis, reporting, comparison, and use toward improving clinical practice. QUESTIONS/PURPOSES: To characterize PROM collection and use by registries, we asked: (1) What is the current practice of PROM collection by arthroplasty registries that are current or former members of the International Society of Arthroplasty Registries, and are there sufficient similarities in PROM collection between registries to enable useful international comparisons that could inform the improvement of arthroplasty care? (2) How do registries differ in PROM administration and demographic, clinical, and comorbidity index variables collected for case-mix adjustment in data analysis and reporting? (3) What quality assurance methods are used for PROMs, and how are PROM results reported and used by registries? (4) What recommendations to arthroplasty registries may improve PROM reporting and facilitate international comparisons? METHODS: An electronic survey was developed with questions about registry structure and collection, analysis, reporting, and use of PROM data and distributed to directors or senior administrators of 39 arthroplasty registries that were current or former members of the International Society of Arthroplasty Registries. In all, 64% (25 of 39) of registries responded and completed the survey. Missing responses from incomplete surveys were captured by contacting the registries, and up to three reminder emails were sent to nonresponding registries. Recommendations about PROM collection were drafted, revised, and approved by the International Society of Arthroplasty Registries PROMs Working Group members. RESULTS: Of the 25 registries that completed the survey, 15 collected generic PROMs, most frequently the EuroQol-5 Dimension survey; 16 collected joint-specific PROMs, most frequently the Knee Injury and Osteoarthritis Outcome Score and Hip Disability and Osteoarthritis Outcome Score; and 11 registries collected a satisfaction item. Most registries administered PROM questionnaires within 3 months before and 1 year after surgery. All 16 registries that collected PROM data collected patient age, sex or gender, BMI, indication for the primary arthroplasty, reason for revision arthroplasty, and a comorbidity index, most often the American Society of Anesthesiologists classification. All 16 registries performed regular auditing and reporting of data quality, and most registries reported PROM results to hospitals and linked PROM data to other data sets such as hospital, medication, billing, and emergency care databases. Recommendations for transparent reporting of PROMs were grouped into four categories: demographic and clinical, survey administration, data analysis, and results. CONCLUSION: Although registries differed in PROM collection and use, there were sufficient similarities that may enable useful data comparisons. The International Society of Arthroplasty Registries PROMs Working Group recommendations identify issues that may be important to most registries such as the need to make decisions about survey times and collection methods, as well as how to select generic and joint-specific surveys, handle missing data and attrition, report data, and ensure representativeness of the sample. CLINICAL RELEVANCE: By collecting PROMs, registries can provide patient-centered data to surgeons, hospitals, and national entities to improve arthroplasty care.

Can the Knee Outcome and Osteoarthritis Score (KOOS) Function Subscale Be Linked to the PROMIS Physical Function to Crosswalk Equivalent Scores?

BACKGROUND: An increased focus on patient-reported outcome measures (PROMs) has led to a proliferation of these measures in orthopaedic surgery. Mandating a single PROM in clinical and research orthopaedics is not feasible given the breadth of data already collected with older measures and the emergence of psychometrically superior measures. Creating crosswalk tables for scores between measures allows providers to maintain control of measure choice. Furthermore, crosswalk tables permit providers to compare scores collected with older outcome measures with newly collected ones. Given the widespread use of the newer Patient-reported Outcome Measure Information System Physical Function (PROMIS PF) and the established Knee Outcome and Osteoarthritis Score (KOOS), it would be clinically useful to link these two measures. QUESTION/PURPOSE: Can the KOOS Function in Activities of Daily Living (ADL) subscale be robustly linked to the PROMIS PF to create a crosswalk table of equivalent scores that accurately reflects a patient's reported physical function level on both scales? METHODS: We sought to establish a common standardized metric for collected responses to the PROMIS PF and the KOOS ADL to develop equations for converting a PROMIS PF score to a score for the KOOS-ADL subscale and vice versa. To do this, we performed a retrospective, observational study at two academic medical centers and two community hospitals in an urban and suburban healthcare system. Patients 18 years and older who underwent TKA were identified. Between January 2017 and July 2020, we treated 8165 patients with a TKA, 93% of whom had a diagnosis of primary osteoarthritis. Of those, we considered patients who had completed a full KOOS and PROMIS PF 10a on the same date as potentially eligible. Twenty-one percent (1708 of 8165) of patients were excluded because no PROMs were collected at any point, and another 67% (5454 of 8165) were excluded because they completed only one of the required PROMs, leaving 12% (1003 of 8165) for analysis here. PROMs were collected each time they visited the health system before and after their TKAs. Physical function was measured by the PROMIS PF version 1.0 SF 10a and KOOS ADL scale. Analyses to accurately create a crosswalk of equivalent scores between the measures were performed using the equipercentile linking method with both unsmoothed and log linear smoothed score distributions. RESULTS: Crosswalks were created, and adequate validation results supported their validity; we also created tables to allow clinicians and clinician scientists to convert individual patients' scores easily. The mean difference between the observed PROMIS PF scores and the scores converted by the crosswalk from the KOOS-ADL scores was -0.08 ± 4.82. A sensitivity analysis was conducted, confirming the effectiveness of these crosswalks to link the scores of two measures from patients both before and after surgery. CONCLUSION: The PROMIS PF 10a can be robustly linked to the KOOS ADL measure. The developed crosswalk table can be used to convert PROMIS PF scores from KOOS ADL and vice versa. CLINICAL RELEVANCE: The creation of a crosswalk table between the KOOS Function in ADL subscale and PROMIS PF allows clinicians and researchers to easily convert scores between the measures, thus permitting greater choice in PROM selection while preserving comparability between patient cohorts and PROM data collected from older outcome measures. Creating a crosswalk, or concordance table, between the two scales will facilitate this comparison, especially when pooling data for meta-analyses.

Strategies for Effective Implementation of Patient-Reported Outcome Measures in Arthroplasty Practice.

ABSTRACT: Patient-reported outcome measures (PROMs) will be an important component of real-world evidence, but best practices for capture and integration are not yet defined. While digital tools support patients, clinicians, and researchers to collect PROMs, PROM capture in clinical care remains challenging. We synthesized PROM implementation strategies that are successfully used by hundreds of arthroplasty surgeons and early PROM-adopter clinical systems. This information can guide health systems that are preparing to implement PROMs to inform clinical care, drive quality-improvement activities, and support reporting for payer-sponsored incentives. Specific information is included to guide each step in the implementation process, including selecting PROMs, redesigning office procedures, programming of information technology, and informing interpretation and clinical use. While no one solution exists for successful PROM implementation in total hip and total knee replacement, referred to as total joint replacement, these guidelines can inform optimal PROM deployment and the capture of complete PROM data. In addition, we outline future research that is needed to define methods for optimal patient engagement, technology infrastructure, and operational systems to seamlessly integrate PROM collection in clinical care.

Translating clinical and patient-reported data to tailored shared decision reports with predictive analytics for knee and hip arthritis.

INTRODUCTION: New informatics tools can transform evidence-based information to individualized predictive reports to serve shared decisions in clinic. We developed a web-based system to collect patient-reported outcomes (PROs) and medical risk factors and to compare responses to national registry data. The system generates predicted outcomes for individual patients and a report for use in clinic to support decisions. We present the report development, presentation, and early experience implementing this PRO-based, shared decision report for knee and hip arthritis patients seeking orthopedic evaluation. METHODS: Iterative patient and clinician interviews defined report content and visual display. The web-system supports: (a) collection of PROs and risk data at home or in office, (b) automated statistical processing of responses compared to national data, (c) individualized estimates of likely pain relief and functional gain if surgery is elected, and (d) graphical reports to support shared decisions. The system was implemented at 12 sites with 26 surgeons in an ongoing cluster randomized trial. RESULTS: Clinicians and patients recommended that pain and function as well as clinical risk factors (e.g., BMI, smoking) be presented to frame the discussion. Color and graphics support patient understanding. To date, 7891 patients completed the assessment before the visit and 56% consented to study participation. Reports were generated for 98% of patients and 68% of patients recalled reviewing the report with their surgeon. CONCLUSIONS: Informatics solutions can generate timely, tailored office reports including PROs and predictive analytics. Patients successfully complete the pre-visit PRO assessments and clinicians and patients value the report to support shared surgical decisions.

Association of Early Postoperative Pain Trajectories With Longer-term Pain Outcome After Primary Total Knee Arthroplasty.

Importance: Studies to date have not comprehensively examined pain experience after total knee arthroplasty (TKA). Discrete patterns of pain in this period might be associated with pain outcomes at 6 to 12 months after TKA. Objectives: To examine patterns of individual post-TKA pain trajectories and to assess their independent associations with longer-term pain outcome after TKA. Design, Setting, and Participants: This prospective cohort study combined data from a national US TKA cohort with ancillary pain severity data at 2 weeks and 8 weeks after the index TKA using a numeric rating scale. All participants received primary, unilateral TKA within the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) national network of community sites in 22 states or at the lead site (University of Massachusetts Medical School). Participants had a date of surgery between May 1, 2013, and December 1, 2014. The data analysis was performed between January 13, 2015, and July 5, 2016. Exposures: Pain trajectories in the postoperative period (8 weeks). Main Outcomes and Measures: Index knee pain at 6 months after TKA using the Knee Injury and Osteoarthritis Outcome Score (KOOS) pain scale. Group-based trajectory methods examined the presence of pain trajectories in the postoperative period (8 weeks) and assessed whether trajectories were independently associated with longer-term pain (6 months). Results: The cohort included 659 patients who underwent primary TKA with complete data at 4 points (preoperative, 2 weeks, 8 weeks, and 26 weeks). Their mean (SD) age was 67.1 (8.0) years, 64.5% (425 of 659) were female, the mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) was 30.77 (5.66), 94.5% (613 of 649) were white, and the mean (SD) preoperative 36-Item Short Form Health Survey physical component summary and mental component summary scores were 34.1 (8.2) and 53.8 (11.4), respectively. Two pain trajectory subgroups were identified at 8 weeks after TKA: patients who experienced fast pain relief in the first 8 weeks after TKA (fast pain responders, composing 72.4% [477 of 659] of the sample) and patients who did not (slow pain responders, composing 27.6% [182 of 659] of the sample). After adjusting for patient factors, the pain trajectory at 8 weeks after TKA was independently associated with the mean KOOS pain score at 6 months, with a between-trajectory difference of -11.3 (95% CI, -13.9 to -8.7). Conclusions and Relevance: The trajectory among slow pain responders at 8 weeks after surgery was independently associated with improved but greater persistent index knee pain at 6 months after TKA compared with that among fast pain responders. Early identification of patients with a trajectory of slow pain response at 8 weeks after TKA may offer an opportunity for interventions in the perioperative period to potentially improve the long-term pain outcomes after TKA.

Improvement in mental health following total hip arthroplasty: the role of pain and function.

BACKGROUND: Mental health has been shown to improve after total hip arthroplasty (THA). Little is known about the role of pain and function in this context. We assessed whether change in mental health was associated with improvement in pain and function 1 year post-surgery. METHODS: This prospective study included patients enrolled in a THA registry from 2010 to 2014. We examined the mental component score (MCS) before and 1 year post-surgery, and 1-year change, in association with Western Ontario McMaster Universities (WOMAC) pain and function scores. All scores were normalized, ranging from 0 to 100 (larger score indicating better outcome). Analyses were adjusted for potential confounders. RESULTS: Our study included 610 participants, of which 53% were women. Descriptive statistics are as follows: the average (SD) for age (years) was 68.5 (11.8), and for BMI was 26.9 (4.9). In addition, the MCS average (SD) at baseline was 44.7 (11.2), and at 1-year after THA was 47.5 (10.5). The average change from baseline to 1-year post-THA in MCS was 2.8 (95% CI: 1.9, 3.6), for an effect size of 0.26. As for the WOMAC pain score, the average change from baseline to 1-year post-THA was 44.2 (95%CI: 42.4, 46.0), for an effect size of 2.5. The equivalent change in WOMAC function was 38.1 (95% CI: 36.2, 40.0), for an effect size of 2.0. Results from multivariable analysis controlling for covariates showed that an improvement of 10 points in the 1-year change in pain score resulted in a 0.78 point (95%: CI 0.40, 1.26) increase in the 1-year change in MCS, whereas a 10-point improvement in the 1-year change in function was associated with a 0.94 point (95% CI: 0.56, 1.32) increase. CONCLUSIONS: Mental health significantly improved from baseline to 1-year post-THA. Greater improvement in pain and function was associated with greater improvement in mental health 1 year post-THA.