Are current rates of uncemented fixation in total hip arthroplasty supported by the literature? An update on the uncemented paradox.

The optimal fixation method in total hip arthroplasty (THA) remains controversial. Initial concerns related to the long-term performance of cement fixation as well as cement disease led to the development of cementless implants, and registry data has indicated that the use of this type of fixation has increased in recent years. However, data from these same registries has not shown any improvement in outcomes when compared to cement fixation. On the contrary, while similar outcomes are seen when comparing these fixation types in younger patients (<70 years of age), cementless fixation has shown increased implant failure and revision rates in elderly patients (>70 years of age). Given the increased projected volume of THA in the United States over the next decade, it is important to utilise available data to make clinical decisions that minimise not only individual patient harm, but also the burden on the healthcare system itself. This review provides an overview of currently available outcomes data comparing cement and cementless fixation, as well as an updated analysis of current trends in fixation use in THA. We furthermore provide a comprehensive technique guide to help surgeons optimise cement fixation of the femoral component for THA and hemiarthroplasty.

Assessing Ability for ChatGPT to Answer Total Knee Arthroplasty-Related Questions.

BACKGROUND: Artificial intelligence in the field of orthopaedics has been a topic of increasing interest and opportunity in recent years. Its applications are widespread both for physicians and patients, including use in clinical decision-making, in the operating room, and in research. In this study, we aimed to assess the quality of ChatGPT answers when asked questions related to total knee arthroplasty. METHODS: ChatGPT prompts were created by turning 15 of the American Academy of Orthopaedic Surgeons Clinical Practice Guidelines into questions. An online survey was created, which included screenshots of each prompt and answers to the 15 questions. Surgeons were asked to grade ChatGPT answers from 1 to 5 based on their characteristics: (1) relevance, (2) accuracy, (3) clarity, (4) completeness, (5) evidence-based, and (6) consistency. There were 11 Adult Joint Reconstruction fellowship-trained surgeons who completed the survey. Questions were subclassified based on the subject of the prompt: (1) risk factors, (2) implant/intraoperative, and (3) pain/functional outcomes. The average and standard deviation for all answers, as well as for each subgroup, were calculated. Inter-rater reliability (IRR) was also calculated. RESULTS: All answer characteristics were graded as being above average (ie, a score > 3). Relevance demonstrated the highest scores (4.43 ± 0.77) by surgeons surveyed, and consistency demonstrated the lowest scores (3.54 ± 1.10). ChatGPT prompts in the Risk Factors group demonstrated the best responses, while those in the Pain/Functional Outcome group demonstrated the lowest. The overall IRR was found to be 0.33 (poor reliability), with the highest IRR for relevance (0.43) and the lowest for evidence-based (0.28). CONCLUSIONS: ChatGPT can answer questions regarding well-established clinical guidelines in total knee arthroplasty with above-average accuracy but demonstrates variable reliability. This investigation is the first step in understanding large language model artificial intelligence like ChatGPT and how well they perform in the field of arthroplasty.

Pain-management protocol aimed at reducing opioids following total knee arthroplasty does not negatively impact patient satisfaction.

BACKGROUND: Prior research has demonstrated that the prescription of opioid medications may be associated with the desire to treat pain in order to achieve favorable patient satisfaction. The purpose of the current study was to investigate the effect of decreased opioid prescribing following total knee arthroplasty (TKA) on survey-administered patient satisfaction scores. METHOD: This study is a retrospective review of prospectively collected survey data for patients who underwent primary elective TKA for the treatment of osteoarthritis (OA) between September 2014 and June 2019. All patients included had completed Hospital Consumer Assessment of Healthcare Providers and Systems (HCAPS) survey information. Patients were stratified into two cohorts based on whether their surgery took place prior to or subsequent to the implementation of an institutional-wide opioid-sparing regimen. RESULTS: Of the 613 patients included, 488 (80%) were in the pre-protocol cohort and 125 (20%) in the post-protocol cohort. Rate of opioid refills (33.6% to 11.2%; p < 0.001) as well as length of stay (LOS, 2.40 ± 1.05 to 2.13 ± 1.13 days; p = 0.014) decreased significantly after protocol change while rate of current smokers increased significantly (4.1% to 10.4%; p = 0.011). No significant difference was observed in "top box" percentages for satisfaction with pain control (Pre: 70.5% vs Post: 72.8%; p = 0.775). CONCLUSIONS: Protocols calling for reduced prescription of opioids following TKA resulted in significantly lower rates of opioid refills, and were associated with significantly shorter LOS, while causing no statistically significant deleterious changes in patient satisfaction, as measured by HCAPS survey. LOE: III. CLINICAL RELEVANCE: This study suggests that HCAPS scores are not negatively impacted by a reduction in postoperative opioid analgesics.

Larger operating rooms have better air quality than smaller rooms in primary total knee arthroplasty.

INTRODUCTION: Operating room air quality can be affected by several factors including temperature, humidity, and airborne particle burden. Our study examines the role of operating room (OR) size on air quality and airborne particle (ABP) count in primary total knee arthroplasty (TKA). MATERIALS AND METHODS: We analyzed all primary, elective TKAs performed within two ORs measuring 278 sq ft. (small) and 501 sq ft. (large) at a single academic institution in the United States from April 2019 to June 2020. Intraoperative measurements of temperature, humidity, and ABP count were recorded. p values were calculated using t test for continuous variables and chi-square for categorical values. RESULTS: 91 primary TKA cases were included in the study, with 21 (23.1%) in the small OR and 70 (76.9%) in the large OR. Between-groups comparisons revealed significant differences in relative humidity (small OR 38.5% ± 7.24% vs. large OR 44.4% ± 8.01%, p = 0.002). Significant percent decreases in ABP rates for particles measuring 2.5 µm (- 43.9%, p = 0.007) and 5.0 µm (- 69.0%, p = 0.0024) were found in the large OR. Total time spent in the OR was not significantly different between the two groups (small OR 153.09 ± 22.3 vs. large OR 173 ± 44.6, p = 0.05). CONCLUSIONS: Although total time spent in the room did not differ between the large and small OR, there were significant differences in humidity and ABP rates for particles measuring 2.5 µm and 5.0 µm, suggesting the filtration system encounters less particle burden in larger rooms. Larger studies are required to determine the impact this may have on OR sterility and infection rates.

Patient-Reported Outcomes Following Intra-articular Hyaluronic Acid for Knee Osteoarthritis.

BACKGROUND: Intra-articular hyaluronic acid (IAHA) has been commonly used in the management of knee osteoarthritis (OA). This study sought to assess patient-reported outcomes (PRO) following different formulations of hyaluronic acid injections for patients who have knee OA. METHODS: A retrospective analysis was performed on patients who have knee OA and received IAHA knee injections from October 2018 to May 2022 in sports medicine (SM) and adult reconstructive (AR) clinics. Patients completed PRO measures including the Patient-Reported Outcome Measurement Information System (PROMIS) Mobility, Pain Interference, and Pain Intensity at baseline, 6-week, 6-month, and 12-month follow-up. Univariate and multivariate analyses were used to evaluate changes in PRO measures between baseline and follow-up periods and to evaluate differences between the SM and AR divisions. A total of 995 patients received IAHA for knee OA and completed PRO assessments. RESULTS: There was no difference in the PROMIS measures based on molecular weight at 6 weeks, 6 months, and 12 months. Except for 6-month Mobility scores between the SM and AR patients (-0.52 ± 5.46 versus 2.03 ± 6.95; P = .02), all other PROMIS scores were similar. Mobility scores at 6 months were significantly different based on Kellgren and Lawrence grade (P = .005), but all other PROMIS scores were similar. CONCLUSION: Average change in PROMIS scores were significantly different only for 6-month Mobility scores based on divisions and Kellgren and Lawrence grade but did not achieve minimally clinical important difference at most timepoints. Further studies are needed to investigate whether improvement is observed in specific patient populations.

Implementation of a relapse prevention program among smokers undergoing arthroplasty: lessons learned.

BACKGROUND: Surgery is a potent motivator to help people quit smoking to reduce the risk of complications. Many patients who smoke receive tobacco cessation counseling prior to surgery and are able to quit, but do not receive the same resources after surgery and often resume smoking. METHODS: We present a case study describing the recruitment process, study components, and lessons learned from StayQuit, a comprehensive relapse prevention program designed to prevent relapse after arthroplasty. Lessons learned were examined post hoc to determine challenges related to program implementation, using existing study procedures and information collected. RESULTS: While a comprehensive postoperative relapse prevention program may be beneficial to patients, implementation of StayQuit is unlikely to be feasible under current circumstances. The primary challenges to successful implementation of StayQuit focused on themes of lack of engagement in the preoperative Orthopedic Surgery Quit Smoking Program (OSQSP) and an environment unfavorable to in-person enrollment on the day of surgery. CONCLUSIONS: Postoperative relapse prevention programs may be beneficial for patients who quit smoking prior to elective surgery. To help guide implementation, it is important to consider surgeon behavior, the collaboration of clinical and non-clinical teams, and best practices for study enrollment in surgical settings.

The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review.

BACKGROUND: Supervised machine learning techniques have been increasingly applied to predict patient outcomes after hip and knee arthroplasty procedures. The purpose of this study was to systematically review the applications of supervised machine learning techniques to predict patient outcomes after primary total hip and knee arthroplasty. METHODS: A comprehensive literature search using the electronic databases MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews was conducted in July of 2021. The inclusion criteria were studies that utilized supervised machine learning techniques to predict patient outcomes after primary total hip or knee arthroplasty. RESULTS: Search criteria yielded n = 30 relevant studies. Topics of study included patient complications (n = 6), readmissions (n = 1), revision (n = 2), patient-reported outcome measures (n = 4), patient satisfaction (n = 4), inpatient status and length of stay (LOS) (n = 9), opioid usage (n = 3), and patient function (n = 1). Studies involved TKA (n = 12), THA (n = 11), or a combination (n = 7). Less than 35% of predictive outcomes had an area under the receiver operating characteristic curve (AUC) in the excellent or outstanding range. Additionally, only 9 of the studies found improvement over logistic regression, and only 9 studies were externally validated. CONCLUSION: Supervised machine learning algorithms are powerful tools that have been increasingly applied to predict patient outcomes after total hip and knee arthroplasty. However, these algorithms should be evaluated in the context of prognostic accuracy, comparison to traditional statistical techniques for outcome prediction, and application to populations outside the training set. While machine learning algorithms have been received with considerable interest, they should be critically assessed and validated prior to clinical adoption.

The Effect of Surgeon and Hospital Volume on Total Hip Arthroplasty Patient-Reported Outcome Measures: An American Joint Replacement Registry Study.

BACKGROUND: Some studies have shown lower morbidity and mortality rates with increased surgeon and hospital volumes after total hip arthroplasty (THA). This study sought to determine the relationship between surgeon and hospital volumes and patient-reported outcome measures after THA using American Joint Replacement Registry data. METHODS: Using American Joint Replacement Registry data from 2012 to 2020, 4,447 primary, elective THAs with both preoperative and 1-year postoperative Hip Dysfunction and Osteoarthritis Outcome Score for Joint Replacement (HOOS-JR) scores were analyzed. This study was powered to detect the minimum clinically important difference (MCID). The main exposure variables were median annual surgeon and hospital volumes. Tertiles were formed based on the median annual number of THAs conducted: low-volume (1 to 42), medium-volume (42 to 96), and high-volume (≥96) surgeons and low-volume (1 to 201), medium-volume (201 to 392), and high-volume (≥392) hospitals. Mean preoperative and 1-year postoperative HOOS-JR scores were compared. RESULTS: Preoperative HOOS-JR scores were significantly higher at high-volume hospitals than low-volume and medium-volume hospitals (49.66 ± 15.19 vs. 47.68 ± 15.09 and 48.34 ± 15.22, P < 0.001), although these differences were less than the MCID. At the 1-year follow-up, no difference was noted with no resultant MCID. Preoperative and 1-year HOOS-JR scores did not markedly vary with surgeon volume. In multivariate regression, low-volume and medium-volume surgeons and hospitals had similar odds of MCID achievement in HOOS-JR scores compared with high-volume surgeons and hospitals, respectively. CONCLUSION: Using the HOOS-JR score as a validated patient-reported outcome measure, higher surgeon or hospital THA volume did not correlate with higher postoperative HOOS-JR scores or greater chances of MCID achievement in HOOS-JR scores compared with medium and lower volume surgeons and hospitals.

Impact of preoperative opioid use on patient-reported outcomes following primary total knee arthroplasty.

PURPOSE: The previous literature suggests that 25-30% of patients who undergo total knee arthroplasty (TKA) are using opioids prior to their surgery. This study aims to investigate the effect of preoperative opioid use on clinical outcomes and patient-reported outcome measures (PROMs) following TKA. METHODS: We retrospectively reviewed 329 patients who underwent primary TKA from 2019 to 2020, answered the preoperative opioid survey, and had available PROMs. Patients were stratified into two groups based on whether they were taking opioids preoperatively or not: 26 patients with preoperative opioid use (8%) and 303 patients without preoperative opioid use (92%) were identified. Demographics, clinical data, and PROMs [Forgotten Joint Score (FJS-12), Knee Injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS, JR), and Veterans RAND-12 Physical and Mental components (VR-12 PCS and MCS)] were collected. Demographic differences were assessed with Chi-square and independent sample t-tests. Outcomes were compared using multilinear regression analysis, controlling for demographic differences. RESULTS: Preoperative opioid users had a significantly longer length-of-stay (2.74 vs. 2.10; p = 0.010), surgical time (124.65 vs. 105.69; p < 0.001), and were more likely to be African-American (38.5 vs. 14.2%; p = 0.010) compared to preoperative opioid-naive patients. Postoperative FJS-12 did not statistically differ between the two groups. While preoperative KOOS, JR scores were significantly lower for preoperative opioid users (41.10 vs. 46.63; p = 0.043), they did not significantly differ postoperatively. Preoperative VR-12 PCS did not statistically differ between the groups; however, both 3-month (33.87 vs. 38.41; p = 0.049) and 1-year (36.01 vs. 44.73; p = 0.043) scores were significantly lower for preoperative opioid users. Preoperative VR-12 MCS was significantly lower for preoperative opioid users (46.06 vs. 51.06; p = 0.049), though not statistically different postoperatively. CONCLUSION: At 8%, our study population had a lower percentage of opioid users than previously reported in the literature. Preoperative opioid users had longer operative times and length of stay compared to preoperatively opioid-naive patients. While both cohorts achieved similar clinical benefits following TKA, preoperative opioid users reported lower postoperative scores with respect to VR-12 PCS scores. LEVEL III EVIDENCE: Retrospective Cohort.

Hospital Revenue, Cost, and Contribution Margin in Inpatient Versus Outpatient Primary Total Joint Arthroplasty.

BACKGROUND: Removal of primary total knee arthroplasty (TKA) and primary total hip arthroplasty (THA) from the inpatient-only list has financial implications for both patients and institutions. The aim of this study was to evaluate and compare financial parameters between patients designated for inpatient versus outpatient total joint arthroplasty. METHODS: We reviewed all patients who underwent TKA or THA after these procedures were removed from the inpatient-only list. Patients were statistical significance into cohorts based on inpatient or outpatient status, procedure type, and insurance type. This included 5,284 patients, of which 4,279 were designated inpatient while 1,005 were designated outpatient. Patient demographic, perioperative, and financial data including per patient revenues, total and direct costs, and contribution margins (CMs) were collected. Data were compared using t-tests and Chi-squared tests. RESULTS: Among Medicare patients receiving THA, CM was 89.1% lower for the inpatient cohort when compared to outpatient (P < .001), although there was no statistical significance difference between cohorts for TKA (P = .501). Among patients covered by Medicaid or Government-managed plans, CM was 120.8% higher for inpatients receiving THA (P < .001) when compared to outpatients and 136.3% higher for inpatients receiving TKA (P < .001). CONCLUSION: Our analyses showed that recent costs associated with inpatient stay inconsistently match or outpace additional revenue, causing CM to vary drastically depending on insurance and procedure type. For Medicare patients receiving THA, inpatient surgery is financially disincentivized leaving this vulnerable patient population at a risk of losing access to care. LEVEL III EVIDENCE: Retrospective Cohort Study.

The Cam-Post Dislocation in Posterior-Stabilized Total Knee Arthroplasty A Case Series.

Cam-post dislocations are a unique complication of total knee arthroplasty (TKA) designs that utilize a cam-post mechanism, representing an extreme form of deep flexion instability. They are rare complications and are poorly defined in the existing literature. The purpose of this case study is to present a series of six cam-post dislocation cases to improve understanding of this complication and its mechanism, presentation, and available treatment options. All patients experienced cam-post dislocations after a deep flexion moment that were identified clinically and confirmed radiographically. Affected implants included both primary and revision components and all utilized a cam-post mecha- nism. Three patients underwent revision surgery whereas the remaining three were treated with closed reduction only. Cam-post dislocations are rare complications of posterior- stabilized TKA that should be understood and recognized by adult reconstruction surgeons. Closed reduction may be achieved with hyperflexion and anterior drawer or with hyperextension, but these patients may ultimately require a revision procedure.

Impact of Coronavirus Disease-2019 Protocols on Primary and Revision Total Knee Arthroplasty.

Background: Surgical site infection (SSI) after total knee arthroplasty (TKA) is associated with increased morbidity and healthcare expenditures. During the coronavirus disease-2019 (COVID-19) pandemic, our institution intensified hygiene standards, including greater glove, personal protective equipment (PPE), and mask use. We assessed the effect of these changes on SSI rates in primary total knee arthroplasty (pTKA) and revision total knee arthroplasty (rTKA). Patients and Methods: A retrospective review was performed identifying TKA from January 2019 to June 2021 at a single institution. Baseline characteristics and outcomes were compared before (January 2019 to February 2020) and during (May 2020 to June 2021) the COVID-19 pandemic when no restriction on operative services was in place and were further analyzed during the first (May 2020 to November 2020) and second (December 2020 to June 2021) periods after full operative services were restored. Results: A total of 3,398 pTKA (pre-pandemic: 1,943 [57.2%]; pandemic: 1,455 [42.8%]) and 454 rTKA (pre-pandemic: 229 [50.4%]; pandemic: 225 [49.6%]) were included. For primary cases, superficial and deep SSI rates were similar before and during COVID-19; however, for revision TKA, the incidence of all (-0.32%, p = 0.035) and superficial (-0.32%, p = 0.035) SSIs decreased during COVID-19. Primary TKA had longer operative times (p < 0.001) and shorter length of stay (LOS; p < 0.001) during COVID-19. Both pTKA (p < 0.001) and rTKA (p = 0.003) were discharged to skilled nursing facilities less frequently during COVID-19 as well. Conclusions: After our hospital implemented COVID-19-motivated hygienic protocols, superficial SSI rates decreased in rTKA but not in pTKA. During COVID-19, patients were less likely to be discharged to skilled nursing facilities, and pTKA operative times increased. Although these changes occurred during intensified hygiene protocols, further research is needed to determine how these factors contributed to the observed changes.

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

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

Trends in Revenue, Cost, and Contribution Margin for Total Joint Arthroplasty 2011-2021.

BACKGROUND: Regulatory change has created a growing demand to decrease the hospital costs associated with primary total joint arthroplasty (TJA). Concurrently, the removal of lower extremity TJA from the in-patient only list has affected hospital reimbursement. The purpose of this study is to investigate trends in hospital revenue versus costs in primary TJA. METHODS: We retrospectively reviewed all patients who underwent primary TJA from June 2011 to May 2021 at our institution. Patient demographics, revenue, total cost, direct cost, and contribution margin were collected. Changes over time as a percentage of 2011 numbers were analyzed. Linear regression analysis was used to determine overall trend significance and develop projection models. RESULTS: Total knee arthroplasty (TKA) insured by government-managed/Medicaid (GMM) plans showed a significant upward trend (P = .013) in total costs. Direct costs of TKA across all insurance providers (P = .001 and P < .001) and total hip arthroplasty (THA) for Medicare (P = .009) and GMM (P = .001) plans demonstrated significant upward trends. Despite this, 2011-2021 modeling found no significant change in contribution margin for TKA and THA covered under all insurance plans. However, models based on 2018-2021 financial data demonstrated a significant downward trend in contribution margin across Medicare (P < .001) and GMM (P < .001) insurers for both TKA and THA. CONCLUSION: Physician-led innovation in cost-saving strategies has maintained contribution margin over the past decade. However, the increase in direct costs seen over the past few years could lead to negative contribution margins over time, if further efficiency and cost-saving measures are not developed. LEVEL III EVIDENCE: Retrospective Cohort Study.

Validation of Single-Outcome Questionnaire in Primary TKA and THA.

BACKGROUND: Patient-reported outcome measures can be used to evaluate post-operative health care quality and patient satisfaction. The Patient's Joint Perception (PJP) question gathers a single patient-reported outcome to measure how patients appraise their joint. This study compares PJP to the Forgotten Joint Score (FJS) at 21 months post-operation to assess its value. METHODS: A retrospective review was performed at an orthopedic specialty hospital for patients who completed both PJP and FJS questionnaires in 2020-2021 and underwent either a unilateral elective primary Total Knee Arthroplasty (TKA) or Total Hip Arthroplasty (THA). Spearman's correlation coefficients and P-values were calculated to determine external validity of PJP. Floor and ceiling effects were analyzed and considered present if ≥ 15% of patients achieved the worst or best score (0-4 for PJP and 0-100 for FJS). RESULTS: In total, 534 patients (327 THA and 207 TKA) were surveyed at 21 months post-operation. External validity against FJS was assessed for both TKA (r = 0.66, P < .01) and THA (r = 0.69, P < .01). For TKA, the floor and ceiling effects were 0.97% and 25.12% for PJP and 3.86% and 4.83% for FJS, respectively. For THA, the floor and ceiling effects were 0.92% and 50.46% for PJP and 2.47% and 20.50% for FJS, respectively. CONCLUSION: The PJP was correlated with FJS moderately for both TKA and THA and can be collected with lesser burden. However, ceiling effects were higher in both TKA and THA for PJP compared to FJS. Further studies are needed to investigate the questionnaires at additional time points and to evaluate the implications of high ceiling effects.

The Impact of Patient Resilience on Discharge After Total Hip Arthroplasty.

BACKGROUND: Patients who undergo total hip arthroplasty (THA) require resilience to recover and resume daily functions. Increased resilience may be an important factor for achieving improved outcomes. The purpose of this study is to examine the impact of resilience on time to discharge and on early patient-reported outcomes following primary THA. METHODS: A retrospective review of patients who underwent primary THAs and completed the Brief Resilience Scale (BRS) was conducted from 2020 to 2021 at an urban, academic hospital. Patients were separated into 3 cohorts based on BRS score: low (1-2.99), normal (3-4.30), and high (4.31-5) resilience. Demographics, participation in same-day discharge (SDD) program, length of stay (LOS), and preoperative and 3-month postoperative scores on the Hip Disability and Osteoarthritis Outcome Score Joint Replacement (HOOS JR) were assessed. SDD patients were excluded from LOS analysis. RESULTS: A total of 393 patients were included. Compared to low resilience patients, odds of being enrolled in SDD program were 1.49 and 3.01 times higher (P = .01) and 3-month HOOS JR scores improved by 4.7% and 11.7% (P = .03) for normal and high resilience patients, respectively. As resilience increased from low to normal to high in non-SDD patients, LOS significantly decreased (53.27 ± 51.92 vs 38.70 ± 28.03 vs 25.64 ± 14.48 hours, respectively; P = .001). CONCLUSION: Increased resilience is positively associated with likelihood of SDD participation or decreased LOS. Increased resilience was associated with increased HOOS JR scores at 3 months, although this did not reach the minimal clinically important difference. The BRS may be a useful tool for predicting patients who can successfully participate in SDD or predicting LOS after primary THA.

Machine Learning With Electronic Health Record Data Outperforms a Risk Assessment Prediction Tool in Predicting Discharge Disposition After Total Joint Arthroplasty.

The Risk Assessment Prediction Tool (RAPT) predicts discharge disposition after total joint arthroplasty with only 75% accuracy. The goal of this study was to evaluate whether higher accuracy can be achieved with basic electronic health record (EHR) data combined with machine learning (ML) algorithms. Three ML analysis models were developed: model 1 (M1) evaluated the accuracy of predicted discharge disposition in concordance with the RAPT; model 2 (M2) used the RAPT questionnaire to develop an ML algorithm to predict the likelihood of discharge to home vs facility; and model 3 (M3) was developed with non-RAPT data (age, surgeon, and discharge preference) with the same ML training process as M2. Evaluation metrics included accuracy for home discharge (HD), positive predictive value for HD (PPV-HD), negative predictive value for HD (NPV-HD), sensitivity, specificity, and area under the receiver operating curve (AUROC). A total of 1405 patients were included. With M1, the overall accuracy for HD was 83.5%, PPVHD was 92.1%, NPV-HD was 45%, sensitivity was 0.88, and specificity was 0.56. With M2, the overall accuracy for HD decreased to 82.8%, PPV-HD was 91.7%, NPV-HD was 43.1%, sensitivity was 0.87, specificity was 0.53, and mean AUROC was 0.87±0.03. With M3, overall accuracy for HD increased to 90.3%, PPV-HD was 95.2%, NPV-HD was 68.6%, sensitivity was 0.93, specificity was 0.76, and AUROC was 0.91±0.02. The use of basic EHR data combined with ML can exceed the accuracy of the RAPT. Applying big data on an individual level for this purpose may allow for safer and more appropriate discharge planning. [Orthopedics. 2022;45(4):e211-e215.].

Patient Satisfaction and Interest in Telemedicine Visits Following Total Knee and Hip Replacement Surgery.

Introduction: Telemedicine is the practice of caring for patients remotely when the patient and provider are not physically present at the same location. Within orthopedic surgery, telemedicine offers care without the typical obstacles of an in-person appointment such as difficulty ambulating following surgery and patient wait times. In this study, we evaluated patient interest and satisfaction in postoperative telemedicine visits following hip or knee arthroplasty surgery. Materials and Methods: Patients were offered either a traditional in-person or a remote telemedicine postoperative visit following surgery. Patients were asked to complete a satisfaction survey following their postoperative visit regarding their experience. Patient-survey responses as well as patient-reported outcome metrics were captured using a mobile and web-based electronic patient rehabilitation application. Results: A total of 766 patients were included in this study with 360 offered postoperative telemedicine visits and 402 offered traditional in-person visits. Two hundred fifty-nine patients reported satisfaction levels with their telemedicine visit, with 58.3% of patients characterizing their feelings with the visit as "extremely satisfied," 32.0% as "satisfied," 8.9% as "neutral," 0.3% as "dissatisfied," and 0.3% as "extremely dissatisfied." A total of 713 patients reported how the COVID-19 pandemic effected their feelings toward telemedicine with 12.9% of patients characterizing the affect as "extremely positively," 33.1% of patients as "positively," 48.9% of patients as "neutral," 3.6% of patients as "negatively," and 1.4% of patients as "extremely negatively." There were no significant differences in the change between preoperative Hip disability and Osteoarthritis Outcome Scores/Knee Injury and Osteoarthritis Outcome Score Joint Replacement, or Veterans RAND 12 Physical and Mental components and these values at 12 weeks follow-up and 1-year follow-up, respectively, in patients who had telemedicine visits versus those who had traditional in-person visits. Discussion: The results of this study demonstrate that the patients who decided to have a telemedicine visit during their postoperative visit were satisfied with their experience. Overall, COVID-19 had a positive influence on patient's feelings toward telemedicine visits.