Dissatisfaction With Total Knee Arthroplasty at 1 Year Post Surgery Can be Predicted Using a Short Questionnaire Early in the Recovery Process.

BACKGROUND: Approximately 20% of patients are dissatisfied with their total knee arthroplasty (TKA). Identifying patients likely to be dissatisfied early in the recovery process could help reduce the number of dissatisfied patients. The purpose of this study was to create an easily administered short questionnaire to identify patients likely to be dissatisfied at 1 year post surgery early in the recovery process. METHODS: The study included 275 patients who underwent primary TKA for osteoarthritis. Individual 3-month postsurgery questionnaire items from the Knee Injury and Osteoarthritis Outcome Score and Knee Society Knee Scoring System were pooled together and used as candidate items to create 3 different short questionnaires. Items included in each questionnaire were selected using least absolute shrinkage and selection operator logistic regressions, a backward elimination method, and theory-based approaches. The area under the curve for each short questionnaire was calculated to evaluate predictive performances. RESULTS: All 3 questionnaires contained a small number of items and appeared to successfully predict 1-year postsurgery dissatisfaction early in the recovery process. The least absolute shrinkage and selection operator logistic regression, backward elimination, and theory-based questionnaires were comprised of 4, 7, and 5 items and had the area under the curve scores of 0.893, 0.902, and 0.890, respectively. A question evaluating rising from sitting and activities of daily living appeared in all of the created questionnaires. CONCLUSION: A short questionnaire that is easy to administer and interpret can effectively predict TKA patient dissatisfaction at 1 year post surgery early in the recovery process.

Logistic Regression and Machine Learning Models Cannot Discriminate Between Satisfied and Dissatisfied Total Knee Arthroplasty Patients.

BACKGROUND: Approximately 20% of total knee arthroplasty (TKA) patients are found to be dissatisfied or unsure of their satisfaction at 1-year post-surgery. This study attempted to predict 1-year post-surgery dissatisfied/unsure TKA patients with pre-surgery and surgical variables using logistic regression and machine learning methods. METHODS: A retrospective analysis of patients who underwent primary TKA for osteoarthritis between 2012 and 2016 at a single institution was completed. Patients were split into satisfied and dissatisfied/unsure groups. Potential predictor variables included the following: demographic information, patella re-surfaced, posterior collateral ligament sacrificed, and subscales from the Knee Society Knee Scoring System, the Knee Society Clinical Rating System, the Western Ontario and McMaster Universities Osteoarthritis Index, and the 12-Item Short Form Health Survey version 2. Logistic regression and 6 different machine learning methods were used to create prediction models. Model performance was evaluated using discrimination (AUC [area under the receiver operating characteristic curve]) and calibration (Brier score, Cox intercept, and Cox slope) metrics. RESULTS: There were 1432 eligible patients included in the analysis, 313 were considered to be dissatisfied/unsure. When evaluating discrimination, the logistic regression (AUC = 0.736) and extreme gradient boosted tree (AUC = 0.713) models performed best. When evaluating calibration, the logistic regression (Brier score = 0.141, Cox intercept = 0.241, and Cox slope = 1.31) and gradient boosted tree (Brier score = 0.149, Cox intercept = 0.054, and Cox slope = 1.158) models performed best. CONCLUSION: The models developed in this study do not perform well enough as discriminatory tools to be used in a clinical setting. Further work needs to be done to improve the performance of pre-surgery TKA dissatisfaction prediction models.

Total knee replacement after high tibial osteotomy: time-to-event analysis and predictors.

BACKGROUND: An important aim of high tibial osteotomy (HTO) is to prevent or delay the need for total knee replacement (TKR). We sought to estimate the frequency and timing of conversion from HTO to TKR and the factors associated with it. METHODS: We prospectively evaluated patients with osteoarthritis (OA) of the knee who underwent medial opening wedge HTO from 2002 to 2014 and analyzed the cumulative incidence of TKR in July 2019. The presence or absence of TKR on the HTO limb was identified from the orthopedic surgery reports and knee radiographs contained in the electronic medical records for each patient at London Health Sciences Centre. We used cumulative incidence curves to evaluate the primary outcome of time to TKR. We used multivariable Cox proportional hazards analysis to assess potential preoperative predictors including radiographic disease severity, malalignment, correction size, pain, sex, age, body mass index (BMI) and year of surgery. RESULTS: Among 556 patients who underwent 643 HTO procedures, the cumulative incidence of TKR was 5% (95% confidence interval [CI] 3%-7%) at 5 years and 21% (95% CI 17%-26%) at 10 years. With the Cox proportional hazards multivariable model, the following preoperative factors were significantly associated with an increased rate of conversion: radiographic OA severity (adjusted hazard ratio [HR] 1.96, 95% CI 1.12-3.45), pain (adjusted HR 0.85, 95% CI 0.75-0.96)], female sex (adjusted HR 1.67, 95% CI 1.08-2.58), age (adjusted HR 1.50 per 10 yr, 95% CI 1.17-1.93) and BMI (adjusted HR 1.31 per 5 kng/m2, 95% CI 1.12-1.53). INTERPRETATION: We found that 79% of knees did not undergo TKR within 10 years after undergoing medial opening wedge HTO. The strongest predictor of conversion to TKR is greater radiographic disease at the time of HTO.

Can Met Expectations Moderate the Relationship Between Pain/Function and Satisfaction in Total Knee Arthroplasty?

BACKGROUND: Approximately 20% of patients are dissatisfied with their total knee arthroplasty (TKA) at 1-year post-surgery. Met expectations have been found by some to significantly predict satisfaction. The role of met expectations in determining patient satisfaction has not been exhaustively explored. The primary aim of this study is to evaluate if met expectations moderate the relationship between pain and function variables and satisfaction. METHODS: Patients who underwent primary TKA for osteoarthritis were included in the study (n = 304). Patient-reported outcomes at pre-surgery and 1-year post-surgery were collected. The Knee Society Score (KSS) satisfaction subscale was used as the dependent variable. Candidate independent variables included the following: demographics, KSS, Knee injury and Osteoarthritis Outcome Score (KOOS), 12-Item Short Form Health Survey (SF-12), Hospital Anxiety and Depression Scale, Pain Catastrophizing Scale, Self-Administered Comorbidity Questionnaire, and University of California Los Angeles activity score. Separate linear regression models were created to test interactions for KSS met expectations with pain and KSS met expectations with function. RESULTS: Significant predictors of satisfaction were KSS symptoms (pain), KOOS activities of daily living (function), KSS met expectations, KOOS pre-surgery activities of daily living, body mass index, and SF-12 general health. A significant interaction between met expectations and pain was found (P = .043) and the met expectations and function interaction approached significance (P = .086). For both interactions, as met expectations increased, pain and function predicted satisfaction less strongly. CONCLUSION: Met expectations were found to moderate the relationship between pain and satisfaction. There may be more value in improving pain for patients with low met expectations. LEVEL OF EVIDENCE: Level IV.

A basic model for assessing primary health care electronic medical record data quality.

BACKGROUND: The increased use of electronic medical records (EMRs) in Canadian primary health care practice has resulted in an expansion of the availability of EMR data. Potential users of these data need to understand their quality in relation to the uses to which they are applied. Herein, we propose a basic model for assessing primary health care EMR data quality, comprising a set of data quality measures within four domains. We describe the process of developing and testing this set of measures, share the results of applying these measures in three EMR-derived datasets, and discuss what this reveals about the measures and EMR data quality. The model is offered as a starting point from which data users can refine their own approach, based on their own needs. METHODS: Using an iterative process, measures of EMR data quality were created within four domains: comparability; completeness; correctness; and currency. We used a series of process steps to develop the measures. The measures were then operationalized, and tested within three datasets created from different EMR software products. RESULTS: A set of eleven final measures were created. We were not able to calculate results for several measures in one dataset because of the way the data were collected in that specific EMR. Overall, we found variability in the results of testing the measures (e.g. sensitivity values were highest for diabetes, and lowest for obesity), among datasets (e.g. recording of height), and by patient age and sex (e.g. recording of blood pressure, height and weight). CONCLUSIONS: This paper proposes a basic model for assessing primary health care EMR data quality. We developed and tested multiple measures of data quality, within four domains, in three different EMR-derived primary health care datasets. The results of testing these measures indicated that not all measures could be utilized in all datasets, and illustrated variability in data quality. This is one step forward in creating a standard set of measures of data quality. Nonetheless, each project has unique challenges, and therefore requires its own data quality assessment before proceeding.

Validity and Internal Consistency of the New Knee Society Knee Scoring System.

BACKGROUND: In 2012, a new Knee Society Knee Scoring System (KSS) was developed and validated to address the needs for a scoring system that better encompasses the expectations, satisfaction, and physical involvement of a younger, more active population of patients undergoing TKA. Revalidating this tool in a separate population by individuals other than the developers of the scoring system seems important, because such replication would tend to confirm the generalizability of this tool. QUESTIONS/PURPOSES: The purposes of this study were (1) to validate the KSS using a separate sample of patients undergoing primary TKA; and (2) to evaluate the internal consistency of the KSS. METHODS: Intervention and control groups from a randomized controlled trial with no between-group differences were pooled. Preoperative and postoperative (6 weeks and 1 year) data were used. Patients with osteoarthritis undergoing primary TKA completed the patient-reported component of the KSS, Knee Injury and Osteoarthritis Outcome Score (KOOS), SF-12, two independent questions about expectations of surgery, and the Patient Acceptable Symptom State (PASS) single-question outcome. This study included 345 patients with 221 (64%) women, an average (SD) age of 64 (8.6) years, a mean (SD) body mass index of 32.9 (7.5) kg/m, and 225 (68%) having their first primary TKA. Loss to followup in the control group was 18% and loss to followup in the intervention group was 13%. We quantified cross-sectional (preoperative scores) and longitudinal validity (pre- to postoperative change scores) by evaluating associations between the KSS and KOOS subscales using Spearman's correlation coefficient. Preoperative known-group validity of the KSS symptoms and functional activity score was evaluated with a one-way analysis of variance across three levels of physical health status using the SF-12 Physical Component Score. Known-group validity of the KSS expectation score was evaluated with an unpaired t-test by comparing means across known expectation groups. Known-group validity of the KSS satisfaction score was evaluated with an unpaired t-test by comparing means across yes/no response groupings of the PASS single-question outcome. Internal consistency for each KSS subscale was evaluated with Cronbach's α. RESULTS: Cross-sectional validity (ie, associations at a single point in time) was supported because correlation coefficients between KSS symptoms, functional activities, and satisfaction scores and scores on the KOOS pain subscale ranged from 0.60 to 0.73 (all correlations p < 0.01). Values were similar for associations with the KOOS function in the activities of daily living (ADL) subscale (0.66-0.69) and less (0.41-0.58) for correlations with the other three KOOS subscales. Longitudinal validity (ie, associations of change scores between two time points) was also supported because correlation coefficients between KSS symptoms, functional activities, and satisfaction change scores and the KOOS pain and ADL change scores varied from 0.63 to 0.73. Correlation coefficients were lower for the other three KOOS subscale change scores, suggesting a weaker relationship with KOOS symptoms (0.48-0.53), sports (0.47-0.51), and quality of life (0.60-0.65) (all correlations p < 0.01). Known-group validity (ie, differences between groups that are known to differ on a given characteristic) was confirmed by between-group differences for the symptoms and functional activities score comparisons as well as the comparisons with the expectations and satisfaction scores of the KSS (all p < 0.01). Cronbach's α (ie, association among subscale items) varied from 0.68 (discretionary activities) to 0.94 (postoperative expectations) across four KSS subscales. CONCLUSIONS: Moderate-sized correlation coefficients and consistent differences between known groups support the validity of the KSS. Internal consistency values were also acceptable. The patient-reported subscales of the KSS are a valid and internally consistent outcome assessment for TKA.

Effect of an e-Learning Tool on Expectations and Satisfaction Following Total Knee Arthroplasty: A Randomized Controlled Trial.

BACKGROUND: Orthopedic surgeons recognize patient expectations of total knee arthroplasty (TKA) can be managed through education. E-learning is the application of educational technology. The objective of this study was to evaluate whether an e-learning tool could affect whether patients' expectations were met and they were satisfied 1 year following TKA. METHODS: Patients with osteoarthritis from the London Health Sciences Centre, Canada, were randomly assigned to either a control group (n = 207) receiving standard patient education or an intervention group (n = 209) using the e-learning tool in addition to the standard. We used a web-based system with permuted block sizes, stratified by surgeon and first or second TKA. Preoperative measures were completed following the patients' preadmission clinic visit. Postoperative patient-reported outcome measures were completed at 6 weeks, 3 months, and 1 year after TKA. One year after TKA, risk difference was used to determine between-group differences for patient satisfaction and expectations being met. RESULTS: One year postoperatively, the risk that expectations of patients were not met was 21.8% in the control group and 21.4% in the intervention group for an adjusted risk difference of 1.3% (95% confidence interval, -7.8% to 10.4%, P = .78). The proportion of patients satisfied with their TKA at 1 year postoperative was 78.6% in the intervention and 78.2% in the control groups. CONCLUSION: There was no between-group difference at 1 year between intervention and control groups for either the risk that expectations of patients were not met or the proportion of patients who were dissatisfied with their TKA.

Application of the McKenzie system of Mechanical Diagnosis and Therapy (MDT) in patients with shoulder pain; a prospective longitudinal study.

OBJECTIVES: The primary objective was to determine if the pain and function response to the McKenzie system of Mechanical Diagnosis and Therapy (MDT) differs by MDT classification category at two and four weeks following the start of MDT treatment for shoulder complaints. The secondary objective was to describe the frequency of discharge over time by MDT classification. METHODS: International, MDT-trained study collaborators recruited 93 patients attending physiotherapy for rehabilitation of a shoulder problem. The Numeric Pain Rating Scale (NPRS) and the Upper Extremity Functional Index (UEFI) were collected at the initial assessment and two and four weeks after treatment commenced. A two-way mixed model analysis of variance with planned pairwise comparisons was performed to identify where the differences between MDT classification groups actually existed. RESULTS: The Derangement and Spinal classifications had significantly lower NPRS scores than the Dysfunction group at week 2 and week 4 (p < 0.05). The Derangement and Spinal classifications had significantly higher UEFI scores than the Dysfunction group at week 2 and week 4 (p < 0.05). The frequency of discharge at week 2 was 37% for both Derangement and Spinal classifications, with no discharges for the Dysfunction classification at this time point. The frequency of discharge at week 4 was 83, 82 and 15% for the Derangement, Spinal and Dysfunction classifications, respectively. DISCUSSION: Classifying patients with shoulder pain using the MDT system can impact treatment outcomes and the frequency of discharge. When MDT-trained clinicians are allowed to match the intervention to a specific MDT classification, the outcome is aligned with the response expectation of the classification.Level of Evidence: 2b.

Validated Measures of Illness Perception and Behavior in People with Knee Pain and Knee Osteoarthritis: A Scoping Review.

OBJECTIVE: To identify validated measures that capture illness perception and behavior and have been used to assess people who have knee pain/osteoarthritis. METHODS: A scoping review was performed. Nine electronic databases were searched for records from inception through April 19, 2015. Search terms included illness perception, illness behavior, knee, pain, osteoarthritis, and their related terms. This review included English language publications of primary data on people with knee pain/osteoarthritis who were assessed with validated measures capturing any of 4 components of illness perception and behavior: monitor body, define and interpret symptoms, take remedial action, and utilize sources of help. Seventy-one publications included relevant measures. Two reviewers independently coded and analyzed each relevant measure within the 4 components. RESULTS: Sixteen measures were identified that capture components of illness perception and behavior in the target population. These measures were originally developed to capture constructs that include coping strategies/skills/styles, illness belief, illness perception, self-efficacy, and pain behavior. Coding results indicated that 5, 11, 12, and 5 of these measures included the monitor body, define and interpret symptoms, take remedial action, and utilize sources of help components, respectively. CONCLUSIONS: Several validated measures were interpreted as capturing some components, and only 1 measure was interpreted as capturing all of the components of illness perception and behavior in the target population. A measure that comprehensively captures illness perception and behavior could be valuable for informing and evaluating therapy for patients along a continuum of symptomatic knee osteoarthritis.

The development and validation of a multivariable model to predict whether patients referred for total knee replacement are suitable surgical candidates at the time of initial consultation.

BACKGROUND: In previous studies, 50%-70% of patients referred to orthopedic surgeons for total knee replacement (TKR) were not surgical candidates at the time of initial assessment. The purpose of our study was to identify and cross-validate patient self-reported predictors of suitability for TKR and to determine the clinical utility of a predictive model to guide the timing and appropriateness of referral to a surgeon. METHODS: We assessed pre-consultation patient data as well as the surgeon's findings and post-consultation recommendations. We used multivariate logistic regression to detect self-reported items that could identify suitable surgical candidates. RESULTS: Patients' willingness to undergo surgery, higher rating of pain, greater physical function, previous intra-articular injections and patient age were the factors predictive of patients being offered and electing to undergo TKR. CONCLUSION: The application of the model developed in our study would effectively reduce the proportion of nonsurgical referrals by 25%, while identifying the vast majority of surgical candidates (> 90%). Using patient-reported information, we can correctly predict the outcome of specialist consultation for TKR in 70% of cases. To reduce long waits for first consultation with a surgeon, it may be possible to use these items to educate and guide referring clinicians and patients to understand when specialist consultation is the next step in managing the patient with severe osteoarthritis of the knee.

CONTEXTE: Dans des études précédentes, de 50 % à 70 % des patients dirigés vers des chirurgiens orthopédistes pour une arthroplastie totale du genou (ATG) n'étaient pas des candidats à la chirurgie au moment de l'évaluation initiale. Notre étude visait à recenser et à contrevalider les facteurs prédictifs de l'opportunité d'une ATG fondés sur des renseignements fournis par les patients, ainsi qu'à déterminer l'utilité clinique d'un modèle de prévision qui évaluerait le moment et la pertinence de diriger un patient vers un chirurgien. MÉTHODES: Nous avons évalué les données des patients préconsultation ainsi que les conclusions du chirurgien et ses recommandations postconsultation. Nous avons mené une analyse de régression logistique multivariée pour détecter les éléments autodéclarés qui permettraient de reconnaître les candidats pour la chirurgie. RÉSULTATS: Les facteurs permettant de prédire si un patient se ferait offrir une ATG et choisirait de subir l'intervention étaient la disposition favorable du patient à se faire opérer, une douleur d'intensité élevée, des capacités physiques fonctionnelles supérieures, des antécédents d'injections intra-articulaires et l'âge. CONCLUSION: Concrètement, l'application du modèle élaboré durant notre étude réduirait le nombre de patients dirigés vers un chirurgien sans motif valable dans une proportion de 25 %, tout en permettant de reconnaître la vaste majorité des candidats à la chirurgie (> 90 %). À partir des renseignements fournis par les patients, nous pouvons prédire correctement le résultat d'une consultation avec un spécialiste pour une ATG dans 70 % des cas. Les conclusions de notre étude pourraient servir à réduire les longs délais d'attente pour une première consultation avec un chirurgien en aidant les professionnels de la santé et les patients à déterminer quand il convient de consulter un spécialiste pour la prise en charge d'une gonarthrose grave.

Validation of the Questionnaire to Identify Knee Symptoms (QuIKS) using Rasch analysis.

BACKGROUND: The Questionnaire to Identify Knee Symptoms (QuIKS) was recently developed to promote activity by screening for experiences related to early symptoms in people with emergent chronic knee pain problems, such as osteoarthritis (OA) - like knee pain. The main purpose of the current study was to evaluate measurement properties of the QuIKS using Rasch analysis in a sample of people with knee symptoms consistent with symptomatic knee OA. METHOD: This study used cross-sectional data. The sample was 200 subjects along the following knee health continuum: pain-free healthy knees (n = 55) from a university community, knee pain with no knee OA diagnosis (n = 111) from a university-affiliated medical clinic, and patients with surgeon-diagnosed symptomatic knee OA awaiting high tibial osteotomy (n = 34) from a sports medicine surgical clinic. The 13-item QuIKS was evaluated for its factor structure, item- and person-fit, item's category response structure, differential item functioning by sex and obesity status, local item dependency, unidimensionality, and test precision. Subsequently, the QuIKS underwent known-groups analysis and convergent validity with the Knee injury and Osteoarthritis Outcome Score (KOOS). RESULTS: In the QuIKS, each item's category response structure was modified. No differential item functioning was observed. Local item dependency informed the formation of four testlets. This refined QuIKS obtained summary fit to the Rasch measurement model, unidimensionality, reliability (person separation index = 0.82), and interval-level scoring. Subsequently, the Rasch-validated QuIKS (QuIKS-R) demonstrated excellent known-groups validity and good convergent validity with the KOOS (Spearman's rho = 0.45 to 0.77). CONCLUSIONS: The QuIKS-R provides interval-level quantification of knee symptoms-related experiences in people with knee symptoms consistent with symptomatic knee OA. Its scores might be useful for clinicians for promoting activity in individuals with early symptoms consistent with symptomatic knee OA.

Joint replacement recipients' views about health information privacy.

BACKGROUND: Researchers are concerned about the possibility of restricted access to data as a result of specific consent requirements in privacy legislation, potentially resulting in smaller samples and a lack of representativeness which could bias results. In addition, there is uncertainty about what influences individuals to give consent for the use of their personal health information. OBJECTIVE: To measure joint replacement recipients' health information privacy views and to assess potential predictors of these views. DESIGN: Cross-sectional survey. SETTING AND PARTICIPANTS: Potential joint replacement recipients from two teaching hospitals in London, Ontario, Canada. MAIN VARIABLES: Age, gender, education, employment status, anticipated joint replacement, and expectations for surgery. MAIN OUTCOME MEASURES: Privacy concerns as measured by the Concern Scale. RESULTS: The response rate was 182/253 or 72%. The mean Concern score was 143.9/235.0 for the total sample (range = 82-216). Women had higher levels of privacy concerns than men on slightly over half of the individual questionnaire items. In women, surgical joint, age and employment explained 15% of the variance in concerns about personal health information privacy (P = 0.001). The model explained 6% of the variance in concerns in men (P = 0.138) and was not statistically significant. DISCUSSION AND CONCLUSION: This study indicates that demographic characteristics and health-care experiences play a role in the variability of health information privacy concerns. A greater understanding of patients' privacy views about health information could lead to a greater harmonization among privacy rules, research and data access, and the preferences of health-care consumers.

A modified evidence-based practice- knowledge, attitudes, behaviour and decisions/outcomes questionnaire is valid across multiple professions involved in pain management.

BACKGROUND: A validated and reliable instrument was developed to knowledge, attitudes and behaviours with respect to evidence-based practice (EBB-KABQ) in medical trainees but requires further adaptation and validation to be applied across different health professionals. METHODS: A modified 33-item evidence-based practice scale (EBP-KABQ) was developed to evaluate EBP perceptions and behaviors in clinicians. An international sample of 673 clinicians interested in treatment of pain (mean age = 45 years, 48% occupational therapists/physical therapists, 25% had more than 5 years of clinical training) completed an online English version of the questionnaire and demographics. Scaling properties (internal consistency, floor/ceiling effects) and construct validity (association with EBP activities, comparator constructs) were examined. A confirmatory factor analysis was used to assess the 4-domain structure EBP knowledge, attitudes, behavior, outcomes/decisions). RESULTS: The EBP-KABQ scale demonstrated high internal consistency (Cronbach's alpha = 0.85), no evident floor/ceiling effects, and support for a priori construct validation hypotheses. A 4-factor structure provided the best fit statistics (CFI =0.89, TLI =0.86, and RMSEA = 0.06). CONCLUSIONS: The EBP-KABQ scale demonstrates promising psychometric properties in this sample. Areas for improvement are described.

Inter-examiner reliability of diplomats in the mechanical diagnosis and therapy system in assessing patients with shoulder pain.

OBJECTIVE: To investigate the inter-examiner reliability of Mechanical Diagnosis and Therapy (MDT)-trained diplomats in classifying patients with shoulder disorders. The MDT system has demonstrated acceptable reliability when used in patients with spinal disorders; however, little is known about its utility when used for appendicular conditions. METHODS: Fifty-four clinical scenarios were created by a group of 11 MDT diploma holders based on their clinical experience with patients with shoulder pain. The vignettes were made anonymous, and their clinical diagnoses sections were left blank. The vignettes were sent to a second group of six international McKenzie Institute diploma holders who were asked to classify each vignette according to the MDT categories for upper extremity. Inter-examiner agreement was evaluated with kappa statistics. RESULTS: There was 'very good' agreement among the six MDT diplomats for classifying the McKenzie syndromes in patients with shoulder pain (kappa = 0.90, SE = 0.018). The raw overall level of multi-rater agreement among the six clinicians in classifying the vignettes was 96%. After accounting for the actual MDT category for each vignette, kappa and the raw overall level of agreement decreased negligibly (0.89 and 95%, respectively). DISCUSSION: Using clinical vignettes, the McKenzie system of MDT has very good reliability in classifying patients with shoulder pain. As an alternative, future reliability studies could use real patients instead of written vignettes.

The relationship between expectations and satisfaction in patients undergoing primary total knee arthroplasty.

The objective of this literature review was to examine the relationship between expectations and satisfaction in patients undergoing primary total knee arthroplasty (TKA). Five databases were searched from inception to July 2011. Five studies were eligible on the following inclusion criteria: primary TKA, diagnosis of knee osteoarthritis, presurgery outcome measures, a measure of patient expectations and satisfaction, multivariate analysis of the relationship between expectations and satisfaction reported separately for TKA recipients, and English language. Preoperative expectations did not correlate with postoperative satisfaction. However, postoperative satisfaction was predicted by how well postoperative expectations were met after surgery. Therefore, patient education programs for managing expectations should span part of the postoperative recovery period.

Patient satisfaction after total knee arthroplasty: who is satisfied and who is not?

UNLABELLED: Despite substantial advances in primary TKA, numerous studies using historic TKA implants suggest only 82% to 89% of primary TKA patients are satisfied. We reexamined this issue to determine if contemporary TKA implants might be associated with improved patient satisfaction. We performed a cross-sectional study of patient satisfaction after 1703 primary TKAs performed in the province of Ontario. Our data confirmed that approximately one in five (19%) primary TKA patients were not satisfied with the outcome. Satisfaction with pain relief varied from 72-86% and with function from 70-84% for specific activities of daily living. The strongest predictors of patient dissatisfaction after primary TKA were expectations not met (10.7x greater risk), a low 1-year WOMAC (2.5x greater risk), preoperative pain at rest (2.4x greater risk) and a postoperative complication requiring hospital readmission (1.9x greater risk). LEVEL OF EVIDENCE: Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.

An evaluation of strategies to reduce waiting times for total joint replacement in Ontario.

BACKGROUND: In 2005, the median waiting time for total hip and knee joint replacements in Ontario was greater than 6 months, which is considered longer than clinically appropriate. Demand is expected to increase and exacerbate already long waiting times. Solutions are needed to reduce waiting times and improve waiting list management. METHODS: We developed a discrete event simulation model of the Ontario total joint replacement system to evaluate the effects of 4 management strategies on waiting times: (1) reductions in surgical demand; (2) formal clinical prioritization; (3) waiting time guarantees; and (4) common waiting list management. RESULTS: If the number of surgeries performed increases by less than 10% each year, then demand must be reduced by at least 15% to ensure that, within 10 years, 90% of patients receive surgery within their maximum recommended waiting time. Clinically prioritizing patients reduced waiting times for high-priority patients and increased the number of patients at all priority levels who received surgery each year within recommended maximum waiting times by 9.3%. A waiting time guarantee for all patients provided fewer surgeries within recommended waiting times. Common waiting list management improved efficiency and increased equity in waiting across regions. DISCUSSION: Dramatically increasing the supply of joint replacement surgeries or diverting demand for surgeries to other jurisdictions will reduce waiting times for total joint replacement surgery. Introducing a strictly adhered to patient prioritization scheme will ensure that more patients receive surgery within severity-specific waiting time targets. Implementing a waiting time guarantee for all patients will not reduce waiting times--it will only shuffle waiting times from some patients to others. To reduce waiting times to clinically acceptable levels within 10 years, increases in the number of surgeries provided greater than those observed historically or reductions in demand are needed.

Willingness to go through surgery again validated the WOMAC clinically important difference from THR/TKR surgery.

OBJECTIVE: The objective was to determine the clinically important difference (CID) from primary total hip replacement (THR) and total knee replacement (TKR) surgeries using the Western Ontario McMaster University (WOMAC) osteoarthritis index. STUDY DESIGN AND SETTING: WOMAC scores were collected at decision for and 1 year after surgery (n=2,709). Transition ratings (15-point scale) were obtained at 1 year for pain and function, as well as a global assessment of willingness to go through surgery again. A "good deal better" defined the positive CID. WOMAC change scores for transition ratings and willingness to go through surgery again were evaluated using receiver operating characteristic curves. Patient characteristics within transition rating categories were examined. RESULTS: For THR, the positive CIDs were 41 of 100 for pain and 34 of 100 for function. The negative CIDs were 35 and 33, respectively. For TKR, the positive CIDs were 36 for pain and 33 for function. The negative CIDs were 30 and 25, respectively. Change scores for willingness to go through surgery again validated CID values. Postoperative complications decreased the likelihood of a positive CID. CONCLUSION: Improvement that is "a good deal better" is an appropriate threshold for the THR/TKR positive CID. Attaining a positive CID is negatively related to postoperative complications.

Change in patient concerns following total knee arthroplasty described with the International Classification of Functioning, Disability and Health: a repeated measures design.

BACKGROUND: There is no published evidence of how patient concerns change during the first six weeks following total knee arthroplasty (TKA). An understanding of the recovery process from the patient's perspective will inform clinicians on how to best educate patients about their post-operative concerns. Our objectives were to (1) quantify the level of importance for each of 32 previously identified concerns pre-operatively, and across the first six weeks following primary TKA and, (2) convey this change in importance post-operatively using the components of the International Classification of Functioning, Disability and Health (ICF). METHODS: The objectives were achieved using a repeated measures design. Convenience sampling was used to recruit 54 consecutive patients undergoing primary TKA at a hospital in Ontario, Canada. Pre-operatively and at two, four and six weeks post-operatively subjects rated the level of importance for each of the 32 previously identified patient concerns RESULTS: The importance rating of patient concerns in all four ICF components changed from before surgery to two weeks after surgery. Patient concerns in the Participation component became increasingly important after the first two weeks following surgery. Post-operatively from week two to week four, changes in importance ratings were also found in the Body Function and Activity components, but not in the Environmental Factors component. CONCLUSION: Changes in patient concerns mirror their early recovery from TKA surgery. Consistent with this, Participation restrictions become increasingly important to patients after discharge from acute care suggesting that clinicians should think of managing patient expectations for return to societal roles early in post-operative rehabilitation.