Predictive Tool Use and Willingness for Surgery in Patients With Knee Osteoarthritis: A Randomized Clinical Trial.

Importance: Despite the increasing number of tools available to predict the outcomes of total knee arthroplasty (TKA), the effect of these predictive tools on patient decision-making remains uncertain. Objective: To assess the effect of an online predictive tool on patient-reported willingness to undergo TKA. Design, Setting, and Participants: This parallel, double-masked, 2-arm randomized clinical trial compared predictive tool use with treatment as usual (TAU). The study was conducted between June 30, 2022, and July 31, 2023. Participants were followed up for 6 months after enrollment. Participants were recruited from a major Australian private health insurance company and from the surgical waiting list for publicly funded TKA at a tertiary hospital. Eligible participants had unilateral knee osteoarthritis, were contemplating TKA, and had previously tried nonsurgical interventions, such as lifestyle modifications, physiotherapy, and pain medications. Intervention: The intervention group was provided access to an online predictive tool at the beginning of the study. This tool offered information regarding the likelihood of improvement in quality of life if patients chose to undergo TKA. The predictions were based on the patient's age, sex, and baseline symptoms. Conversely, the control group received TAU without access to the predictive tool. Main Outcomes and Measures: The primary outcome measure was the reduction in participants' willingness to undergo surgery at 6 months after tool use as measured by binomial logistic regression. Secondary outcome measures included participant treatment preference and the quality of their decision-making process as measured by the Knee Decision Quality Instrument. Results: Of 211 randomized participants (mean [SD] age, 65.8 [8.3] years; 118 female [55.9%]), 105 were allocated to the predictive tool group and 106 to the TAU group. After adjusting for baseline differences in willingness for surgery, the predictive tool did not significantly reduce the primary outcome of willingness for surgery at 6 months (adjusted odds ratio, 0.85; 95% CI, 0.42-1.71; P = .64). Conclusions and Relevance: Despite the absence of treatment effect on willingness for TKA, predictive tools might still enhance health outcomes of patients with knee osteoarthritis. Additional research is needed to optimize the design and implementation of predictive tools, address limitations, and fully understand their effect on the decision-making process in TKA. Trial Registration: ANZCTR.org.au Identifier: ACTRN12622000072718.

Influences on clinical trial participation: Enhancing recruitment through a gender lens - A scoping review.

Background: Suboptimal clinical trial recruitment contributes to research waste. Evidence suggests there may be gender-based differences in willingness to participate in clinical research. Identifying gender-based differences impacting the willingness of trial participation may assist trial recruitment. Objectives: To examine factors that influence the willingness of men and women to participate in clinical trials and to identify modifiable factors that may be targeted to optimise trial participation. Material and methods: Electronic databases were searched with key words relating to 'gender', 'willingness to participate' and 'trial'. Included studies were English language and reported gender-based differences in willingness to participate in clinical trials, or factors that influence a single gender to participate in clinical trials. Studies were excluded if they described the demographic factors of trial participants or if the majority of participants were pregnant. Extracted data were coded, categorized, analysed thematically and interpreted using Arksey and O'Malley's framework. Results: Sixty-three studies were included. Two main themes were identified: trial characteristics and participant characteristics. A number of gender-based differences moderating willingness to participate were observed although only one, 'concern for self' was found to influence actual trial participation rates between genders. Conclusion: The relationship between factors influencing willingness to participate in clinical trials is complex. The influence of gender on willingness to participate, while important, may be moderated by other factors including socioeconomic status, ethnicity and health condition. Exploring factors that influence willingness to participate specific to a study cohort likely offers the most promise to optimise trial recruitment of that cohort.

The impact of infection on length of stay in adult burns: A scoping review.

BACKGROUND: The disruption to the immune system and profound metabolic response to burn injury gives rise to a unique susceptibility to infection. Indeed, infection is one of the most frequently encountered post-burns complications placing significant burden on patients and healthcare system. Advancements in burn care have led to marked improvements in burn-related mortality and morbidity; however, scarce hospital resources hamper adequate burn-related care, and patient length of stay (LOS) in hospital is an important drain on such resources. The aim of this review was to assess and evaluate the existing literature relating to the impact of infections on LOS in hospitalised, adult burn patients. METHODS: Electronic searches were performed in Medline and Embase. Eligible studies were those reporting on LOS and infection in adult burn populations. Articles published before 2000 were excluded to ensure that the analysis was focused on contemporary literature that reflects current, clinical management of burn patients. RESULTS: Nineteen studies (54,397 burn patients) were included in the review. All studies were retrospective, with the majority undertaken in North America (14 studies). The mean age range was 38-67 years and the majority of patients were male. Inhalation injury was recorded in eleven studies. The most common types of infection included pneumonia, blood stream infections (BSI) and burn wound infections. Overall, there was a trend towards a positive association between infection and LOS. CONCLUSION: The results of this scoping review provide an overview of the existing literature on the relationship between infection and LOS in adult burn populations. However, significant gaps remain in knowledge which call for further high-quality research. Standardised definitions for the collection of infection data and the use of burns specific infection control guidelines are also critical to understanding and improving patient outcomes.

The long-term impacts of opioid use before and after joint arthroplasty: matched cohort analysis of New Zealand linked register data.

BACKGROUND: Opioids are commonly used both before and after total joint arthroplasty (TJA). OBJECTIVE: The objective of this study was to estimate the long-term effects of pre- and perioperative opioid use in patients undergoing TJA. METHODS: We used linked population datasets to identify all (n =18,666) patients who had a publicly funded TJA in New Zealand between 2011 and 2013. We used propensity score matching to match individuals who used opioids either before surgery, during hospital stay, or immediately post-discharge with individuals who did not based on a comprehensive set of covariates. Regression analysis was used to estimate the effect of opioid use on health and socio-economic outcomes over 5 years. RESULTS: Opioid use in the 3 months prior to surgery was associated with significant increases in healthcare utilization and costs (number of hospitalizations 6%, days spent in hospital 14.4%, opioid scripts dispensed 181%, and total healthcare costs 11%). Also increased were the rate of receiving social benefits (2 percentage points) and the rates of opioid overdose (0.5 percentage points) and mortality (3 percentage points). Opioid use during hospital stay or post-discharge was associated with increased long-term opioid use, but there was little evidence of other adverse effects. CONCLUSIONS: Opioid use before TJA is associated with significant negative health and economic consequences and should be limited. This has implications for opioid prescribing in primary care. There is little evidence that peri- or post-operative opioid use is associated with significant long-term detriments.

Opioids are commonly used both before and after total joint replacement surgery to manage pain in patients with osteoarthritis. This study investigates the long-term consequences of opioid use around total joint replacement surgery in New Zealand during 2011­2013 using administrative data. We compare the outcomes of surgery patients who used opioids (treatment group) to those who did not (control group) but who had very similar pre-surgery characteristics as the treatment cohort. We find that opioid use in the months prior to surgery was associated with significant increases in healthcare utilization and costs, higher likelihood of receiving social benefits, and higher risk of opioid overdose and mortality 5 years post-surgery. Opioid use during hospital stay or post-discharge was associated with increased long-term opioid use, but there was little evidence of other adverse effects. These results highlight the importance of ongoing efforts to reduce opioid use before surgery.

Does a consumer co-designed infographic increase knowledge of physical activity after total knee joint replacement? A randomised controlled trial.

PURPOSE: To determine if a consumer co-designed infographic increased knowledge of physical activity and self-efficacy for exercise after total knee joint replacement surgery. METHODS: Forty-four adults with primary knee joint replacement surgery were recruited from a public and a private hospital in Melbourne, Australia. Participants were randomly allocated to an experimental or control group. The experimental group received a consumer co-designed infographic. All participants received usual care. Primary outcome measures were knowledge of physical activity and self-efficacy for exercise. Outcomes were administered at baseline, week 1 and week 6. Semi-structured interviews with experimental group participants explored the acceptability, implementation and efficacy of the infographic. RESULTS: There were no between-group differences for knowledge of physical activity at week 1 (MD -0.02 units, 95% CI -0.9 to 0.9) or week 6 (MD 0.01 units, 95% CI -0.9 to 0.9). Self-efficacy for exercise increased at week 1 (MD 14.2 units, 95% CI 2.9-25.4) but was not sustained. Qualitative data showed that the infographic was embraced by some participants but not by others. CONCLUSIONS: A consumer co-designed infographic did not improve knowledge of physical activity but may have had a short-term positive effect on self-efficacy for exercise after knee joint replacement. Trial registration ACTRN12621000910808.

Patients' Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study.

BACKGROUND: The use of artificial intelligence (AI) in decision-making around knee replacement surgery is increasing, and this technology holds promise to improve the prediction of patient outcomes. Ambiguity surrounds the definition of AI, and there are mixed views on its application in clinical settings. OBJECTIVE: In this study, we aimed to explore the understanding and attitudes of patients who underwent knee replacement surgery regarding AI in the context of risk prediction for shared clinical decision-making. METHODS: This qualitative study involved patients who underwent knee replacement surgery at a tertiary referral center for joint replacement surgery. The participants were selected based on their age and sex. Semistructured interviews explored the participants' understanding of AI and their opinions on its use in shared clinical decision-making. Data collection and reflexive thematic analyses were conducted concurrently. Recruitment continued until thematic saturation was achieved. RESULTS: Thematic saturation was achieved with 19 interviews and confirmed with 1 additional interview, resulting in 20 participants being interviewed (female participants: n=11, 55%; male participants: n=9, 45%; median age: 66 years). A total of 11 (55%) participants had a substantial postoperative complication. Three themes captured the participants' understanding of AI and their perceptions of its use in shared clinical decision-making. The theme Expectations captured the participants' views of themselves as individuals with the right to self-determination as they sought therapeutic solutions tailored to their circumstances, needs, and desires, including whether to use AI at all. The theme Empowerment highlighted the potential of AI to enable patients to develop realistic expectations and equip them with personalized risk information to discuss in shared decision-making conversations with the surgeon. The theme Partnership captured the importance of symbiosis between AI and clinicians because AI has varied levels of interpretability and understanding of human emotions and empathy. CONCLUSIONS: Patients who underwent knee replacement surgery in this study had varied levels of familiarity with AI and diverse conceptualizations of its definitions and capabilities. Educating patients about AI through nontechnical explanations and illustrative scenarios could help inform their decision to use it for risk prediction in the shared decision-making process with their surgeon. These findings could be used in the process of developing a questionnaire to ascertain the views of patients undergoing knee replacement surgery on the acceptability of AI in shared clinical decision-making. Future work could investigate the accuracy of this patient group's understanding of AI, beyond their familiarity with it, and how this influences their acceptance of its use. Surgeons may play a key role in finding a place for AI in the clinical setting as the uptake of this technology in health care continues to grow.

Differences in Outcomes Between Initial Responders and Subsequent Responders to Health Questionnaires for Total Hip and Knee Arthroplasty: An Australian Tertiary Institutional Registry Study.

BACKGROUND: Patient-reported outcome measure (PROM) questionnaires in national arthroplasty registries often have low response rates leading to questions about data reliability. In Australia, the SMART (St. Vincent's Melbourne Arthroplasty Outcomes) registry captures all elective total hip (THA) and total knee (TKA) arthroplasty patients with an approximate 98% response rate for preoperative and 12-month PROM scores. This high response rate is due to dedicated registry staff following up patients who do not initially respond (subsequent responders). This study compared initial responders to subsequent responders to find differences in 12-month PROM outcomes for THA and TKA. METHODS: All elective THA and TKA patients for osteoarthritis from 2012 to 2021 captured by the SMART registry were included. In total, 1,333 THA and 1,340 TKA patients were included. The PROM scores were assessed using the Veterans-RAND 12 (VR12) and Western Ontario and McMasters Universities Arthritis Index (WOMAC) questionnaires. The primary outcome was differences in mean 12-month PROM scores between initial and subsequent responders. RESULTS: Baseline characteristics and PROM scores were similar between initial and subsequent responders. However, 12-month PROM scores varied significantly. The adjusted mean difference showed that for the WOMAC pain score, subsequent responders scored 3.4 points higher in the THA cohort and 7.4 points higher in the TKA cohort compared to initial responders. Significant differences were also found in other WOMAC and VR12 scores for both THA and TKA cohorts at the 12-month timepoint. CONCLUSION: This study found that significant differences in PROM outcomes postsurgery occurred in THA and TKA patients based on response to PROM questionnaires, suggesting that loss to follow-up in PROM outcomes should not be treated as missing completely at random (MCAR).

Broken Machines or Active Bodies? Part 2. How People Talk About Osteoarthritis and Why Clinicians Need to Change the Conversation.

SYNOPSIS: How people talk about osteoarthritis may impact outcomes, including uptake of guideline recommendations related to activity-based lifestyles and interventions. In this editorial, we describe 2 key ways of talking, based on findings from our systematic review of 62 qualitative studies exploring the perceptions of people with knee osteoarthritis (n = 1208), their carers (n = 28), and clinicians (n = 2403). Among raw quotes extracted from the studies, we observed a dominant impairment-based way of talking and a participatory based way of talking. These ways of talking form a novel framework to help clinicians understand what people think and do about osteoarthritis. J Orthop Sports Phys Ther 2023;53(6):325-330. doi:10.2519/jospt.2023.11880.

Physical activity amongst culturally and linguistically diverse communities in Australia: a scoping review.

BACKGROUND: Australia's overseas-born population continues to grow. This population is disproportionately affected by chronic, non-communicable diseases. Physical activity is the cornerstone of all chronic disease management. Engaging people from culturally and linguistically diverse (CALD) backgrounds in physical activity is an important public health objective. The purpose of this scoping review was to examine the factors that shape physical activity participation among people from CALD backgrounds in Australia. METHODS: This scoping review followed Arksey and O'Malley's framework. Medline, Embase and CINAHL were searched with key words relating to 'physical activity', 'CALD' and 'Australia' in July 2021 and again in February 2022 for qualitative studies published in English since 2000. Exclusion criteria were: participants < 18 years old, studies specifically focusing on populations with health issues, pregnant or postpartum states. Methodological quality of included studies was evaluated using the Critical Appraisal Skills Programme with the purpose of informing future research. Data extracted from each study were analysed thematically and results were interpreted using Acculturation theory. RESULTS: Of the 1130 studies, 17 met the inclusion criteria. Findings from each study were captured in three themes: Perceptions of physical activity; Acceptability and Appropriateness; and Access. Following migration, a decrease in physical activity, especially leisure-time activity, was reported. Common factors influencing physical activity engagement included perceptions of physical activity and wellbeing; language, financial and environmental barriers; as well as social, cultural, and religious considerations. CONCLUSION: This review identified several factors which may interact and contribute to the decline in self-reported physical activity upon migration. Findings from this review may be used to inform future health promotion initiatives targeting people from CALD backgrounds. Future research may benefit from devising a shared definition of physical activity and studying different CALD communities over time.

What are the core recommendations for gout management in first line and specialist care? Systematic review of clinical practice guidelines.

BACKGROUND: Gout is the most common inflammatory arthritis, increasing in prevalence and burden. Of the rheumatic diseases, gout is the best-understood and potentially most manageable condition. However, it frequently remains untreated or poorly managed. The purpose of this systematic review is to identify Clinical Practice Guidelines (CPG) regarding gout management, evaluate their quality, and to provide a synthesis of consistent recommendations in the high-quality CPGs. METHODS: Gout management CPGs were eligible for inclusion if they were (1) written in English and published between January 2015-February 2022; focused on adults aged ≥ 18 years of age; and met the criteria of a CPG as defined by the Institute of Medicine; and (2) were rated as high quality on the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument. Gout CPGs were excluded if they required additional payment to access; only addressed recommendations for the system/organisation of care and did not include interventional management recommendations; and/or included other arthritic conditions. OvidSP MEDLINE, Cochrane, CINAHL, Embase and Physiotherapy Evidence Database (PEDro) and four online guideline repositories were searched. RESULTS: Six CPGs were appraised as high quality and included in the synthesis. Clinical practice guidelines consistently recommended education, commencement of non-steroidal anti-inflammatories, colchicine or corticosteroids (unless contraindicated), and assessment of cardiovascular risk factors, renal function, and co-morbid conditions for acute gout management. Consistent recommendations for chronic gout management were urate lowering therapy (ULT) and continued prophylaxis recommended based on individual patient characteristics. Clinical practice guideline recommendations were inconsistent on when to initiate ULT and length of ULT, vitamin C intake, and use of pegloticase, fenofibrate and losartan. CONCLUSION: Management of acute gout was consistent across CPGs. Management of chronic gout was mostly consistent although there were inconsistent recommendations regarding ULT and other pharmacological therapies. This synthesis provides clear guidance that can assist health professionals to provide standardised, evidence-based gout care. TRIAL REGISTRATION: The protocol for this review was registered with Open Science Framework (DOI https://doi.org/10.17605/OSF.IO/UB3Y7 ).

Process of change for people with knee osteoarthritis undergoing cognitive functional therapy: a replicated single-case experimental design study.

PURPOSE: To examine the applicability and process of change of Cognitive Functional Therapy (CFT) in the management of pain and disability in people with knee osteoarthritis who were offered knee replacement surgery and had risk factors for poor response to surgery. METHODS: Single-case experimental design with a mixed-methods, repeated measures approach was used to investigate the process of change through CFT in four participants. Qualitative interviews investigated beliefs, behaviours and coping responses, and self-reported measures assessed pain, disability, psychological factors, and function at 25 timepoints. Study registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12619001491156). RESULTS: Qualitative data indicate that CFT promoted helpful changes in all participants, with two responses observed. One reflected a clear shift to a biopsychosocial conceptualisation of osteoarthritis, behavioural re-engagement and the view that a knee replacement was no longer necessary. The other response reflected a mixed conceptualisation with dissonant beliefs about osteoarthritis and its management. Psychological and social factors were identified as potential treatment barriers. Overall, quantitative measures supported the qualitative findings. CONCLUSION: The process of change varies between and within individuals over time. Psychological and social barriers to treatment have implications for future intervention studies for the management of knee osteoarthritis.IMPLICATIONS FOR REHABILITATIONCognitive Functional Therapy is applicable in the management of knee osteoarthritis.Reconceptualisation of osteoarthritis reflected a helpful change.Psychological and social factors emerged as barriers to recovery.

Assessing the Mortality Rate After Primary Total Knee Arthroplasty: An Observational Study to Inform Future Economic Analysis.

BACKGROUND: Previous research has focused on the perioperative or short-term (<1 year) mortality rate of total knee arthroplasty (TKA), leaving the long-term (>1 year) mortality rate unresolved. In this study, we calculated the mortality rate up to 15 years after primary TKA. METHODS: Data from the New Zealand Joint Registry from April 1998 to December 2021 were analyzed. Patients aged 45 years or older who underwent TKA for osteoarthritis were included. Mortality data were linked with national records from births, deaths, and marriages. To determine the expected mortality rates in the general population, age-sex-specific life tables from statistics New Zealand were used. Mortality rate was presented as standardized mortality ratios (SMRs) - a comparison of relative mortality rate between the TKA and general populations. In total, 98,156 patients with a median follow-up of 7.25 years (range, 0.00 to 23.74) were included. RESULTS: Over the entire follow-up period, 22,938 patients (23.4%) had died. The overall SMR for the TKA cohort was 1.08 (95% confidence interval (CI): 1.06 to 1.09), suggesting that TKA patients have an 8% higher mortality rate compared to the general population. However, a reduction in short-term mortality rate was observed for TKA patients up to 5 years post TKA (SMR 5 years post TKA; 0.59 95% CI: 0.57 to 0.60]). On the contrary, a significantly increased long-term mortality rate was observed in TKA patients with greater than 11 years of follow-up, particularly in men over the age of 75 years (SMR 11 to 15 years post TKA for males ≥ 75 years; 3.13 [95% CI: 2.95 to 3.31]). CONCLUSION: The results suggest a reduction in short-term mortality rate for patients who undergo primary TKA. However, there is an increased long-term mortality rate particularly in men over the age of 75 years. Importantly, the mortality rates observed in this study cannot be causally attributed to TKA alone.

Broken Machines or Active Bodies? Part 3. Five Recommendations to Shift the Way Clinicians Communicate With People Who Are Seeking Care for Osteoarthritis.

SYNOPSIS: In parts 1 and 2 of this series, we highlighted the dominant impairment way of talking about osteoarthritis: talking that frames osteoarthritis as a disease of cartilage worsened by physical activity that can only be "cured" by replacing the joint. An alternative understanding that counters common misconceptions about osteoarthritis, and links physical activity and healthy lifestyles to improvements in symptoms is likely a prerequisite for sustainable behavior change. It is insufficient to tell people with osteoarthritis that regular physical activity is important; people need to understand and experience how physical activity can help. Here, we offer suggestions for how clinicians can shift from focusing on what people cannot do because of osteoarthritis, toward focusing on what people can do to improve their health and maintain "active bodies." J Orthop Sports Phys Ther 2023;53(7):1-6. doi:10.2519/jospt.2023.11881.

Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort.

BACKGROUND: Thirty-day readmission is an increasingly important problem for total knee arthroplasty (TKA) patients. The aim of this study was to develop a risk prediction model using machine learning and clinical insight for 30-day readmission in primary TKA patients. METHOD: Data used to train and internally validate a multivariable predictive model were obtained from a single tertiary referral centre for TKA located in Victoria, Australia. Hospital administrative data and clinical registry data were utilised, and predictors were selected through systematic review and subsequent consultation with clinicians caring for TKA patients. Logistic regression and random forest models were compared to one another. Calibration was evaluated by visual inspection of calibration curves and calculation of the integrated calibration index (ICI). Discriminative performance was evaluated using the area under the receiver operating characteristic curve (AUC-ROC). RESULTS: The models developed in this study demonstrated adequate calibration for use in the clinical setting, despite having poor discriminative performance. The best-calibrated readmission prediction model was a logistic regression model trained on administrative data using risk factors identified from systematic review and meta-analysis, which are available at the initial consultation (ICI = 0.012, AUC-ROC = 0.589). Models developed to predict complications associated with readmission also had reasonable calibration (ICI = 0.012, AUC-ROC = 0.658). CONCLUSION: Discriminative performance of the prediction models was poor, although machine learning provided a slight improvement. The models were reasonably well calibrated, meaning they provide accurate patient-specific probabilities of these outcomes. This information can be used in shared clinical decision-making for discharge planning and post-discharge follow up.

Broken Machines or Active Bodies? Part 1. Ways of Talking About Health and Why It Matters.

SYNOPSIS: This editorial series raises awareness among clinicians about how ways of talking about orthopaedic conditions can influence what people who are seeking health care (1) think about their health and (2) what they do to manage their health. In part 1, we introduce you to ways of talking about health, using osteoarthritis as a case study. In part 2, we describe 2 contrasting ways of talking about osteoarthritis and how changing the way you share information and ideas with people seeking care may impact clinical decisions. In part 3, we offer strategies to help you shift the way you communicate with people with osteoarthritis to promote uptake of best practice recommendations and support healthy, active lifestyles. J Orthop Sports Phys Ther 2023;53(5):1-3. doi:10.2519/jospt.2023.11879.

Core Recommendations for Osteoarthritis Care: A Systematic Review of Clinical Practice Guidelines.

OBJECTIVE: To evaluate the quality of clinical practice guidelines (CPGs) for interventions in management of osteoarthritis (OA) and to provide a synthesis of high-quality CPG recommendations. METHODS: Five databases (OvidSP Medline, Cochrane, Cumulative Index to Nursing and Allied Health Literature [CINAHL], Embase, and the Physiotherapy Evidence Database [PEDro]) and 4 online guideline repositories were searched. CPGs for the management of OA were included if they were 1) written in English and published from January 2015 to February 2022, focused on adults age ≥18 years, and met the criteria of a CPG as defined by the Institute of Medicine; and 2) were rated as high quality on the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument. CPGs for OA were excluded if they were available via institutional access only, only addressed recommendations for the system/organization of care and did not include interventional management recommendations, and/or included other arthritic conditions. RESULTS: Of 20 eligible CPGs, 11 were appraised as high quality and included in the synthesis. Of interest were the hip, knee, hand, and glenohumeral joints and/or polyarticular OA. Consistent recommendations were that care should be patient centered and include exercise, education, and weight loss (where appropriate). Nonsteroidal antiinflammatory drugs and surgical interventions were recommended for disabling OA that had not improved with nonsurgical care. Hand orthoses should be recommended for patients with hand OA. CONCLUSION: This synthesis of high-quality CPGs for OA management offers health care providers with clear, simple guidance of recommended OA care to improve patient outcomes.

Established and Novel Risk Factors for 30-Day Readmission Following Total Knee Arthroplasty: A Modified Delphi and Focus Group Study to Identify Clinically Important Predictors.

Thirty-day readmission following total knee arthroplasty (TKA) is an important outcome influencing the quality of patient care and health system efficiency. The aims of this study were (1) to ascertain the clinical importance of established risk factors for 30-day readmission risk and give clinicians the opportunity to suggest and discuss novel risk factors and (2) to evaluate consensus on the importance of these risk factors. This study was conducted in two stages: a modified Delphi survey followed by a focus group. Orthopaedic surgeons and anaesthetists involved in the care of TKA patients completed an anonymous survey to judge the clinical importance of risk factors selected from a systematic review and meta-analysis and to suggest other clinically meaningful risk factors, which were then discussed in a focus group designed using elements of nominal group technique. Eleven risk factors received a majority (≥50%) vote of high importance in the Delphi survey overall, and six risk factors received a majority vote of high importance in the focus group overall. Lack of consensus highlighted the fact that this is a highly complex problem which is challenging to predict and which depends heavily on risk factors which may be open to interpretation, difficult to capture, and dependent upon personal clinical experience, which must be tailored to the individual patient.

Research Buddy partnership in a MD-PhD program: lessons learned.

BACKGROUND AND AIMS: There is increasing recognition of the importance of patient involvement in research. In recent years, there has also been growing interest in patient partnerships with doctoral studies students. However, it can be difficult to know where to start and how to go about such involvement activities. The purpose of this perspective piece was to share experiential insight of the experience of a patient involvement program such that others can learn from this experience. BODY: This is a co-authored perspective piece centred on the experience of MGH, a patient who has had hip replacement surgery, and DG, a medical student completing a PhD, participating in a Research Buddy partnership over the course of over 3 years. The context in which this partnership took place was also described to facilitate comparison with readers' own circumstances and contexts. DG and MGH met regularly to discuss, and work together on, various aspects of DG's PhD research project. Reflexive thematic analysis was conducted on reflections from DG and MGH regarding their experience in the Research Buddy program to synthesise nine lessons which were then corroborated with reference to published literature on patient involvement in research. These lessons were: learn from experience; tailor the program; get involved early; embrace uniqueness; meet regularly; build rapport; ensure mutual benefit; broad involvement; regularly reflect and review. CONCLUSIONS: In this perspective piece, a patient and a medical student completing a PhD reflected upon their experience co-designing a Research Buddy partnership within a patient involvement program. A series of nine lessons was identified and presented to inform readers seeking to develop or enhance their own patient involvement programs. Researcher-patient rapport is foundational to all other aspects of the patient's involvement.

The importance of patient involvement in research is gaining recognition. Existing research centres, as well as those that are just getting started, need to find their own way to involve patients and community members. However, learning from the experience of others is crucial to ensure every effort is made to do this in a fruitful way. Therefore, we aimed to share our experience and provide a list of lessons learned to help other researchers and patients get started and work together effectively. Our research centre developed a framework for involving patients in joint replacement research. Part of this framework is a 'Research Buddy' program, where a research student partners with a patient so that the research they conduct is more relevant and applicable to the target population. In our case, the research student partnered with someone who had a hip replacement to develop and test a questionnaire for an interview study about artificial intelligence in shared decision-making. The student and patient worked together and wrote this perspective piece outlining nine lessons so readers can learn from their experience of this program. The lessons were: learn from experience, tailor the program, get involved early, embrace uniqueness, meet regularly, build rapport, ensure mutual benefit, broad involvement, regularly reflect and review. People interested in starting, or improving, their own patient involvement activities can learn from our experience. These lessons will need to be adapted to fit the purpose and unique situation of other researchers and patients who have different needs and circumstances.

SMART choice (knee) tool: a patient-focused predictive model to predict improvement in health-related quality of life after total knee arthroplasty.

BACKGROUND: Current predictive tools for TKA focus on clinicians rather than patients as the intended user. The purpose of this study was to develop a patient-focused model to predict health-related quality of life outcomes at 1-year post-TKA. METHODS: Patients who underwent primary TKA for osteoarthritis from a tertiary institutional registry after January 2006 were analysed. The primary outcome was improvement after TKA defined by the minimal clinically important difference in utility score at 1-year post-surgery. Potential predictors included demographic information, comorbidities, lifestyle factors, and patient-reported outcome measures. Four models were developed, including both conventional statistics and machine learning (artificial intelligence) methods: logistic regression, classification tree, extreme gradient boosted trees, and random forest models. Models were evaluated using discrimination and calibration metrics. RESULTS: A total of 3755 patients were included in the study. The logistic regression model performed the best with respect to both discrimination (AUC = 0.712) and calibration (intercept = -0.083, slope = 1.123, Brier score = 0.202). Less than 2% (n = 52) of the data were missing and therefore removed for complete case analysis. The final model used age (categorical), sex, baseline utility score, and baseline Veterans-RAND 12 responses as predictors. CONCLUSION: The logistic regression model performed better than machine learning algorithms with respect to AUC and calibration plot. The logistic regression model was well calibrated enough to stratify patients into risk deciles based on their likelihood of improvement after surgery. Further research is required to evaluate the performance of predictive tools through pragmatic clinical trials. LEVEL OF EVIDENCE: Level II, decision analysis.