Development and alpha testing of a patient shared decision aid for prosthesis design for new lower limb prosthesis users.

BACKGROUND: After lower limb amputation, several prosthesis design options exist. However, prosthesis design decisions do not always reflect a prosthesis user's needs, values, and preferences. OBJECTIVE: To develop a patient decision aid (PDA) prototype for prosthetists and new prosthesis users facing prosthesis design decisions after lower limb amputation, and to assess its usability, accuracy, and comprehensibility. STUDY DESIGN: Exploratory mixed methods. METHODS: PDA development was informed by a qualitative needs assessment and guided by the International Patient Decision Aid Standards. The PDA was evaluated by steering groups of experienced prosthesis users and prosthetic professionals (prosthetists and researchers) to test usability, accuracy, and comprehensibility through focus groups, individual interviews, and rating on a Likert scale ranging from 1 to 10. RESULTS: The resulting PDA included 6 sections: (1) Amputation and Early Recovery, (2) Communication, (3) Values, (4) Prosthesis Design, (5) Preferences, and (6) Prosthetic Journey. Usability, accuracy, and comprehensibility were rated as 9.2, 9.6, and 9.6, respectively, by prosthetic professionals, and 9.4, 9.6, and 9.6, respectively, by prosthesis users. DISCUSSION: The PDA incorporated guidance by relevant stakeholders and was rated favorably, emphasizing a need for shared decision-making support in prosthesis design. One challenge was determining the amount of information in the PDA, highlighting the diversity in end users' informational needs. Future iterations of the PDA should undergo beta testing in clinical settings. CONCLUSIONS: A standardized, iterative method was used to develop a PDA for new lower limb prosthesis users and prosthetists when considering prosthesis design decisions. The PDA was considered useable, accurate, and comprehensible.

Turning speed as a more responsive metric of age-related decline in mobility: A comparative study with gait speed.

BACKGROUND: Navigating your environment requires both straight-line gait as well as turning. Gait speed normative values are well established and utilized in determining a person's functional status, however, it has limitations. This study sought to examine whether turning speed declines with age and how it compared to gait speed age-related decline. METHODS: A secondary analysis was performed on 275 community dwelling adults between the ages of 18-88 that performed a timed walking test with an inertial measurement unit on their lumbar spine. Turning speed and walking speed were extracted for each participant. A series of mixed models were compared, and Akaike's Information Criterion was used to determine the best fit model between age and turning speed and age and gait speed. FINDINGS: Turning speed and gait speed normative values were reported for each age decade. A linear model with a random intercept of "Condition" was used to assess the relationship between age and turning speed. The results indicated a significant negative relationship between age and turning speed (B = -0.66, p < 0.001). A spline-fit model determined a significant negative relationship between age and gait speed after the age of 65 (B = -0.0097, p = 0.002). The effect of age on gait speed before age 65 was not significant. INTERPRETATION: Turning speed significantly declines with age in a linear fashion while gait speed begins to decline after age 65. Turning speed may be more responsive to age than gait speed. More research is needed to determine if the decline in turning speed with age is associated with a decline in function.

Evaluating the implementation of personalised outcomes forecasts to optimise supervised exercise therapy in patients with intermittent claudication in the Netherlands: a multimethods study.

BACKGROUND: To support the optimisation of supervised exercise therapy (SET) in patients with intermittent claudication, we developed personalised outcomes forecasts (POFs), which visualise estimated walking distance and quality of life for individual patients. The POFs may enable healthcare professionals, such as physical and exercise therapists, to improve shared decision-making and patient outcomes. OBJECTIVES: To assess differences in patient outcomes (functional walking distance, maximal walking distance and health-related quality of life) and the level of shared decision-making before and after the implementation of POFs in the conservative treatment of patients with intermittent claudication. METHODS: An interrupted time series design was used to compare preimplementation and postimplementation differences on patient outcomes. Using routinely collected data, differences from baseline to 6 months were compared between patients before and patients after the implementation. To compare levels of shared decision-making, we conducted observations of initial consults within a sample of physical or exercise therapists both before and after the implementation. Audiorecords of observations were scored on shared decision-making using the OPTION-5 instrument. RESULTS: Differences in improvements between patients with whom POFs were discussed (n=317) and patients before the implementation of POFs (n=721) did not reach statistical significance for both functional walking distance (experimental vs. control=+23%, p=0.11) and maximal walking distance (experimental vs. control=+21%, p=0.08). For health-related quality of life, the POFs-informed patients showed a statistically significant greater improvement of 4% (p=0.04). Increased levels of shared decision-making were observed in postimplementation consults (n=20) when compared with preimplementation consults (n=36), as the median OPTION-5 total score showed a statistically significant increase from 45 to 55 points (p=0.01). CONCLUSIONS: Integrating POFs into daily practice of SET for patients with intermittent claudication could assist in improving health-related quality of life and enhancing patient involvement. Using POFs did not result in statistically significant different improvements between groups on walking distances. TRIAL REGISTRATION NUMBER: NL8838.

The impact of being overweight or obese on 12 month clinical recovery in patients following lumbar microdiscectomy for radiculopathy.

BACKGROUND CONTEXT: The proportion of patients who undergo lumbar microdiscectomy due to lumbar radiculopathy who are also overweight or obese is high. However, whether high body mass index (BMI) affects clinical outcomes is not well-studied. PURPOSE: To investigate the difference in the clinical course between normal weight, overweight, and obese patients with radiculopathy who underwent lumbar microdiscectomy followed by physical therapy and to evaluate whether high BMI is associated with poor recovery. STUDY DESIGN/SETTING: A prospective cohort study with a 12-month follow-up was conducted in a multidisciplinary clinic. PATIENT SAMPLE: We included 583 patients (median [IQR] age: 45 [35-52] years; 41% female) with clinical signs and symptoms of lumbar radiculopathy, consistent with magnetic resonance imaging findings, who underwent microdiscectomy followed by postoperative physical therapy. OUTCOME MEASURES: Outcomes were leg pain and back pain intensity measured with a visual analogue scale, disability measured with the Roland Morris Disability Questionnaire at 3 and 12-month follow-ups, and complications. METHODS: Patients were classified as being normal weight (46.9%), overweight (38.4%), or obese (14.7%). A linear mixed-effects model was used to assess the difference in the clinical course of pain and disability between the three BMI categories. The association between BMI and outcomes was evaluated using univariable and multivariable logistic regression analyses. RESULTS: All three patient groups experienced a significant improvement in leg pain, back pain, and disability over 3 and 12-month follow-up. Patients who were overweight, obese, or normal weight experienced comparable leg pain (p=.14) and disability (p=.06) over the clinical course (p=.14); however, obese patients experienced higher back pain (MD=-6.81 [95%CI: -13.50 to -0.14]; p=.03). The difference in back pain scores was not clinically relevant. CONCLUSIONS: In the first year following lumbar microdiscectomy, patients demonstrated clinical improvements and complications that were unrelated to their preoperative BMI.

Nationwide implementation of personalized outcomes forecasts to support physical therapists in treating patients with intermittent claudication: Protocol for an interrupted time series study.

INTRODUCTION: Shared decision-making is the cornerstone of patient-centered care. However, evidence suggests that the application of shared decision-making in physical therapy practice is limited. To elicit shared decision-making and thereby potentially improve patient outcomes for patients with intermittent claudication, we developed a decision support system. This decision support system provides personalized outcomes forecasts that visualize the estimated walking distance of an individual patient. We hypothesize that personalized outcomes forecasts can support physical therapists in personalizing care to the needs and priorities of the individual patient to improve therapy outcomes. RESEARCH OBJECTIVES: The primary aim is to evaluate the impact of personalized outcomes forecasts for patients with intermittent claudication to optimize personalized treatment. Second, this study aims to evaluate the process of implementation. METHODS: This study uses a prospective interrupted time series (ITS) design. Participating physical therapists are divided into four clusters. Every month of the study period, a new cluster will be invited to begin using the decision support system. We aim to include data of 11,250 newly referred patients for physical therapy treatment. All therapists associated with a network of specialized therapists (Chronic CareNet) and patients treated by these therapists are eligible to participate. The decision support system, called the KomPas, makes use of personalized outcomes forecasts, which visualize the estimated outcome of supervised exercise therapy for an individual patient with intermittent claudication. Personalized outcomes forecasts are developed using a neighbors-based approach that selects patients similar to the index patient (a.k.a. neighbors) from a large database. Outcomes to evaluate impact of implementation are patients' functional and maximal walking distance, quality of life and shared decision-making. Process evaluation will be measured in terms of utilization efficacy, including the outcomes dropout rate and reasons to (not) use the personalized outcomes forecasts. Data will be routinely collected through two online systems: the Chronic CareNet Quality system, and the website logs of the decision support system. Additionally, observations and semi-structured interviews will be conducted with a small subset of therapists. ETHICS: Formal medical ethical approval by the Medical Research Ethics Committees United 'MEC-U' was not required for this study under Dutch law (reference number 2020-6250).

Personalized Reference Values for the Two-Minute Walk Test: An Analysis of Cross-Sectional Data From the National Institutes of Health Toolbox Study.

OBJECTIVES: To develop reference values for the Two-Minute Walk Test (TMWT) via 2 previously untested methods: (1) smooth age-based statistical models and (2) a neighbors-based approach accounting for age, sex, and height. DESIGN: Cross-sectional observational study. SETTING: National Institutes of Health Toolbox study sites across the United States. PARTICIPANTS: A total of 1385 healthy, community dwelling adult participants (age 18-85 years) in the National Institutes of Health Toolbox study were included in this analysis. INTERVENTION: None. MAIN OUTCOME MEASURES: Reference values for TMWT were generated using 2 approaches: (1) Generalized Additive Models for Location Scale and Shape, wherein TMWT values were modeled as a smooth function of age, and (2) a semiparametric neighbors-based approach. The performance of references values was then adjudicated by examining precision (ie, the average interquartile or interdecile range of reference values), and coverage (ie, the proportion of realized values included within a given inter-percentile interval). Agreement between methods was examined by intraclass correlation coefficient. RESULTS: Neighbors-based reference values demonstrated a smaller average interquartile range (149 ft; 95% confidence interval [CI], 146-152 ft), compared with age-based reference values (158 ft; 95% CI, 155-162 ft), but similar average interdecile range (neighbors-based: 369 ft; 95% CI, 360-377 ft; age-based: 374 ft; 95% CI, 366-383 ft). Coverage appeared accurate via both approaches. Agreement between approaches was high (intraclass correlation coefficient=0.96), although differences were apparent on a case-by-case basis. CONCLUSIONS: Both age-based and neighbors-based reference values offer viable options for interpreting a person's TMWT performance. In this analysis, the neighbors-based approach (adjusting for height) yielded potentially clinically relevant differences in reference values for persons at extremes of height.

Improving shared decision-making for prosthetic care: A qualitative needs assessment of prosthetists and new lower-limb prosthesis users.

BACKGROUND: Prosthesis design is complex and multiple appropriate options exist for any individual with lower-limb amputation. However, there is insufficient evidence for guiding decision-making. Shared decision-making (SDM) offers an opportunity to incorporate patient-specific values and preferences where evidence is lacking for prosthesis design decisions. To develop resources to facilitate SDM, and consistent with the International Patient Decision Aid Standards, it is necessary to identify the decisional needs of prosthetists and prosthesis users for prosthesis design decisions. OBJECTIVES: To assess the needs of prosthetists and new prosthesis users for SDM about the first prosthesis design. STUDY DESIGN: Qualitative descriptive design. METHODS: Six focus groups were conducted with 38 prosthetists. Individual semistructured interviews were conducted with 17 new prosthesis users. Transcripts were analyzed using directed content analysis, with codes defined a priori using existing frameworks for SDM: the Three Talk Model for SDM and the Ottawa Decision Support Framework. RESULTS: Four main themes were identified among prosthetists and prosthesis users: acknowledging complexity in communication, clarifying values, recognizing the role of experience to inform preferences , and understanding the prosthetic journey . CONCLUSIONS: Resources that support SDM for the first prosthesis design should consider methods for identifying individual communication needs, support with clarifying values, and resources such as experience for achieving informed preferences, within the context of the overall course of rehabilitation and recovery following lower-limb amputation. The themes identified in this work can inform SDM to promote collaborative discussion between prosthetists and new prosthesis users when making prosthesis design decisions.

Understanding decision-making in prosthetic rehabilitation by prosthetists and people with lower limb amputation: a qualitative study.

PURPOSE: Little has been published about the process of decision-making between prosthetists and people with lower limb amputation (LLA). The purpose of this study is to identify decisions and factors influencing decision-making in prosthetic rehabilitation from the perspectives of prosthetists and prosthesis users, to identify barriers and opportunities for shared decision-making (SDM). METHODS: Qualitative semi-structured individual interviews were conducted with 13 prosthetists and 14 prosthesis users from three clinics in three states of the Rocky Mountain and Southwest regions of the United States. Transcripts were analyzed using thematic analysis. RESULTS: Four main themes were identified: perceived decision points, importance of relationship, balancing competing priorities, and experience. Contrasts between perceptions of prosthetists and prosthesis users were related to prosthesis design decisions, and the purpose of communication (e.g., goals for a prosthesis vs. goals informing prosthesis design). Both prosthetists and prosthesis users described balancing priorities that contribute to prosthetic rehabilitation decisions, and the role of experience for informing realistic expectations and preferences necessary for participating in decision-making. CONCLUSION: Opportunities for improving SDM between prosthetists and prosthesis users include (1) clarifying key rehabilitation decisions, (2) identifying the purpose of initial communications, (3) support for balancing priorities, and (4) utilizing experience to achieve informed preferences.IMPLICATIONS FOR REHABILITATIONMany people with lower limb amputation experience poor physical function and psychosocial outcomes, which may be further compounded by under informed prosthesis-user expectations for function with a prosthesis.Shared decision-making offers an opportunity for improving realistic prosthesis-user expectations, reducing healthcare costs, and improving prosthesis-user satisfaction and adherence to care plans.Opportunities for improving shared decision-making between prosthetists and prosthesis-users include (1) clarifying key rehabilitation decisions, (2) identifying the purpose of initial communications, (3) support for balancing priorities, and (4) utilizing experience to achieve informed preferences.

Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.

OBJECTIVE: Prediction models can be useful tools for monitoring patient status and personalizing treatment in health care. The goal of this study was to compare the relative strengths and weaknesses of 2 different approaches for predicting functional recovery after knee arthroplasty: a neighbors-based "people-like-me" (PLM) approach and a linear mixed model (LMM) approach. MATERIALS AND METHODS: We used 2 distinct datasets to train and then test PLM and LMM prediction approaches for functional recovery following knee arthroplasty. We used the Timed Up and Go (TUG)-a common test of mobility-to operationalize physical function. Both approaches used patient characteristics and baseline postoperative TUG values to predict TUG recovery from days 1-425 following surgery. We then compared the accuracy and precision of PLM and LMM predictions. RESULTS: A total of 317 patient records with 1379 TUG observations were used to train PLM and LMM approaches, and 456 patient records with 1244 TUG observations were used to test the predictions. The approaches performed similarly in terms of mean squared error and bias, but the PLM approach provided more accurate and precise estimates of prediction uncertainty. DISCUSSION AND CONCLUSION: Overall, the PLM approach more accurately and precisely predicted TUG recovery following knee arthroplasty. These results suggest PLM predictions may be more clinically useful for monitoring recovery and personalizing care following knee arthroplasty. However, clinicians and organizations seeking to use predictions in practice should consider additional factors (eg, resource requirements) when selecting a prediction approach.

Impact of Personalized Outcomes Forecasts on Clinical Reasoning of Physical Therapists in Intermittent Claudication: A Vignette Study.

OBJECTIVE: Guidelines recommend supervised exercise therapy and lifestyle counseling by a physical therapist as initial treatment for patients with intermittent claudication. However, guidelines provide only a crude estimate of the outcomes that therapists and patients might expect from treatment. The purpose of this study was to explore the impact of personalized outcomes forecasts (POFs) on the decision-making process of physical therapists and to learn lessons on facilitating the use of forecasts in daily practice. METHODS: A vignette-based, think-aloud interview study design was used. The participants were physical therapists trained in treating patients with intermittent claudication. Vignettes described fictitious patients diagnosed with intermittent claudication and included POFs. A directed approach was used to code, organize, and describe the data. Transcripts were analyzed using a thematic approach. RESULTS: Sixteen therapists participated in the study. Three themes were identified: (1) setting and contextualizing treatment expectations, (2) setting (shared) goals and (de)motivating the patient, and (3) establishing and monitoring the treatment plan. Therapists mentioned that POFs could be useful for setting expectations and realistic treatment goals, contextualizing expected treatment response, stimulating patients to achieve their goals, and deciding on treatment frequency and treatment timing. Therapists thought POFs would be of less use for changing treatment goals during follow-up visits or for establishing intensity or type of training. CONCLUSION: To overcome challenges that may arise when adopting POFs in daily practice, adequate training of physical therapists should be conducted. Potential areas to address with training include statistical and data literacy as well as guidance on integrating POFs with existing treatment protocols. IMPACT: The use of POFs by physical therapists might contribute to a more person-centered care approach. The insights provided by this study on the first use of POFs by physical therapists can serve as an example and lesson on how to optimally implement such supporting tools into daily practice.

Development of a reference chart for monitoring cancer-related fatigue throughout a supervised exercise program.

BACKGROUND: Cancer-related fatigue (CRF) is one of the most reported and functionally limiting symptoms experienced by individuals living with and beyond cancer. Exercise is effective at reducing CRF, though currently it is not possible to predict the magnitude and time course of improvement for an individual participating in an exercise program. OBJECTIVE: To develop a reference chart of CRF improvement for individuals participating in a 3-month cancer-specific exercise program. METHODS: In this retrospective cohort study, CRF was assessed every two weeks (using the FACIT - Fatigue scale, range: 0 - 52 with lower scores indicating greater fatigue) in 173 individuals participating in a 3-month supervised exercise program (741 observations). No cancer types were excluded and individuals were either undergoing chemotherapy and/or radiation, or within 6 months of completing treatment. The reference chart was developed using Generalized Additive Models for Location Scale and Shape. RESULTS: Each participant had an average of four CRF observations. Lower centiles demonstrated greater improvement than higher centiles (11 points over the duration of the program for the 10th and 4 points for the 90th percentiles). LIMITATIONS: The population is biased to individuals self-selecting or being referred to a clinical exercise program. CONCLUSIONS: This reference chart provides a novel method of monitoring CRF improvement during a cancer-specific exercise program. Setting appropriate expectations and informing exercise prescription adaptation are discussed in the context of representative data from three participants. Future research can investigate improvements in clinical outcomes and the remote monitoring of CRF through the implementation of the reference chart.

Personalised Outcomes Forecasts of Supervised Exercise Therapy in Intermittent Claudication: An Application of Neighbours Based Prediction Methods with Routinely Collected Clinical Data.

OBJECTIVE: Insights regarding individual patient prognosis may improve exercise therapy by informing patient expectations, promoting exercise adherence, and facilitating tailored care. Therefore, the aim was to develop and evaluate personalised outcomes forecasts for functional claudication distance over six months of supervised exercise therapy for patients with intermittent claudication. METHODS: Data of 5 940 patients were eligible for analysis. Neighbours based predictions were generated via an adaptation of predictive mean matching. Data from the nearest 223 matches (a.k.a. neighbours) for an index patient were modelled via Generalised Additive Model for Location Scale and Shape (GAMLSS). The realised outcome measures were then evaluated against the GAMLSS model, and the average bias, coverage, and precision were calculated. Model calibration was analysed via within sample and of sample analyses. RESULTS: Neighbours based predictions demonstrated small average bias (- 0.04 standard deviations; ideal = 0) and accurate average coverage (48.7% of realised data within 50% prediction interval; ideal = 50%). Moreover, neighbours based predictions improved prediction precision by 24%, compared with estimates derived from the whole sample. Both within sample and of sample testing showed predictions to be well calibrated. CONCLUSION: Neighbours based prediction is a method for generating accurate personalised outcomes forecasts for patients with intermittent claudication undertaking supervised exercise therapy. Future work should examine the influence of personalised outcomes forecasts on clinical decisions and patient outcomes.

"This is not negotiable. You need to do this ": A directed content analysis of decision making in rehabilitation after knee arthroplasty.

PURPOSE: To understand patients' and physical therapists' perspectives related to decision making during outpatient rehabilitation after total knee arthroplasty (TKA), and to describe potential barriers and opportunities for shared decision making (SDM) in this setting. METHODS: A qualitative study examined the beliefs, thoughts, and experiences of patients and physical therapists regarding decision making in outpatient rehabilitation after TKA. Semi-structured interviews were conducted and analysed using directed content analysis. RESULTS: Thirty-five participants were interviewed (20 patients, 15 physical therapists). Three main themes emerged from the data: (1) there is variability among physical therapists in how patients are involved in care decisions, (2) several features of the outpatient care paradigm are not supportive of SDM, and (3) preoperative patient-clinician interactions may facilitate SDM in postoperative rehabilitation, but these interactions are not typically utilized. CONCLUSION: Physical therapists described using decision-making strategies with varying levels of patient involvement. Both patients and physical therapists described barriers to routine use of SDM in the outpatient setting. Several actionable strategies for overcoming these barriers were identified for providers and organizations seeking to consistently use SDM in outpatient TKA rehabilitation.

Development of reference charts for monitoring quadriceps strength with handheld dynamometry after total knee arthroplasty.

Purpose: To develop reference charts that describe normative quadriceps strength recovery after total knee arthroplasty (TKA) as measured by handheld dynamometry (HHD).Materials and Methods: We conducted a retrospective analysis of post-TKA quadriceps strength recovery in a longitudinal dataset consisting of both clinical and research HHD data. We created sex-specific models for recovery using Generalized Additive Models for Location, Scale, and Shape. We created reference charts from the models to display the recovery of population centiles over the first six postoperative months.Results: A total of 588 patient records with 1176 observations were analyzed. Reference charts for both sexes demonstrated a rapid increase in quadriceps strength over the first 60 postoperative days followed by a more gradual increase over the next 120 days. Males appeared to demonstrate faster recovery and greater strength on average compared to females. The quadriceps strength recovery of three female patient records was plotted on the reference chart to illustrate the charts' potential clinical utility.Conclusions: These reference charts provide normative data for quadriceps strength recovery after TKA as assessed by HHD. The reference charts may augment clinicians' ability to monitor and intervene upon quadriceps weakness-a pronounced and debilitating post-TKA impairment-throughout rehabilitation.Implications for RehabilitationHandheld dynamometry (HHD) is an objective and clinically feasible method for assessing muscle strength, but normative HHD values are lacking for quadriceps strength recovery after total knee arthroplasty (TKA).We created sex-specific reference charts which provide normative quadriceps strength HHD values for the first 180 days after TKA.These reference charts may improve clinicians' ability to monitor and intervene upon post-TKA quadriceps strength deficits.

Psychometric properties of the 4-meter walk test after total knee arthroplasty.

OBJECTIVE: To determine the reliability, responsiveness, and convergent validity of the Four-Meter Walk Test (4mWT) compared to the Six-Minute Walk Test (6MWT) surrounding total knee arthroplasty (TKA). DESIGN: Secondary analysis of a randomized controlled trial. SETTING: Research laboratory. PARTICIPANTS: One hundred sixty-two patients (aged 63.5 ± 7.4 (mean ± sd) years; 89 females) undergoing TKA participated. MAIN OUTCOME MEASURES: 4mWT (usual and fastest) and 6MWT were measured 1-2 weeks preoperatively, and 1, 2, 3, 6 and 12 months post-operatively. RESULTS: 4mWT demonstrated excellent test-retest reliability with Interclass Correlation Coefficients (ICC's) ranging from 0.80 to 0.93 s. 4mWT also demonstrated small measurement error with Standard Error of Measurement (SEM) ranging from 0.15 to 0.35 s. 4mWT (fastest) demonstrated similar responsiveness to 6mWT in the first 2 months after surgery and better responsiveness from 2 to 3 months after surgery. Convergent validity between 6MWT and 4mWT (fastest) was high, with Pearson correlation coefficients ranging from 0.73 to 0.81. CONCLUSIONS: The 4mWT (fastest) has excellent test-retest reliability, shows high responsiveness sufficient for clinical outcomes in the immediate postoperative time periods, and exhibits high convergent validity with 6MWT. Given space and time requirements to conduct each test, 4mWT may be preferred for routine clinical assessment.IMPLICATIONS FOR REHABILITATIONWalking ability•Walking is an important functional ability for patients who undergo total knee arthroplasty (TKA).•While the Six-Minute Walk Test is a validated measure of walking ability in the TKA population, its clinical utility is limited by the space and time it takes to perform the test.•The Four-Meter Walk Test (fastest speed) is a valid, reliable, and responsive alternative to the 6MWT and is recommended for routine clinical use after TKA.

Neighbors-based prediction of physical function after total knee arthroplasty.

The purpose of this study was to develop and test personalized predictions for functional recovery after Total Knee Arthroplasty (TKA) surgery, using a novel neighbors-based prediction approach. We used data from 397 patients with TKA to develop the prediction methodology and then tested the predictions in a temporally distinct sample of 202 patients. The Timed Up and Go (TUG) Test was used to assess physical function. Neighbors-based predictions were generated by estimating an index patient's prognosis from the observed recovery data of previous similar patients (a.k.a., the index patient's "matches"). Matches were determined by an adaptation of predictive mean matching. Matching characteristics included preoperative TUG time, age, sex and Body Mass Index. The optimal number of matches was determined to be m = 35, based on low bias (- 0.005 standard deviations), accurate coverage (50% of the realized observations within the 50% prediction interval), and acceptable precision (the average width of the 50% prediction interval was 2.33 s). Predictions were well-calibrated in out-of-sample testing. These predictions have the potential to inform care decisions both prior to and following TKA surgery.

Development of a physical mobility prediction model to guide prosthetic rehabilitation.

BACKGROUND: Prosthetic rehabilitation decisions depend on estimating a patient's mobility potential. However, no validated prediction models of mobility outcomes exist for people with lower-limb amputation (LLA). OBJECTIVES: To develop and test predictions for self-reported mobility after LLA, using the Prosthetic Limb Users Survey of Mobility (PLUS-M). STUDY DESIGN: This is a retrospective cohort analysis. METHODS: Eight hundred thirty-one patient records (1,860 PLUS-M observations) were used to develop and test a neighbors-based prediction model, using previous patient data to predict the 6-month PLUS-M T-score trajectory for a new patient (based on matching characteristics). The prediction model was developed in a training data set (n = 552 patients) and tested in an out-of-sample data set of 279 patients with later visit dates. Prediction performance was assessed using bias, coverage, and precision. Prediction calibration was also assessed. RESULTS: The average prediction bias for the model was 0.01 SDs, average coverage was 0.498 (ideal proportion within the 50% prediction interval = 0.5), and prediction interval was 8.4 PLUS-M T-score points (40% improvement over population-level estimates). Predictions were well calibrated, with the median predicted scores falling within the standard error of the median of observed scores, across all deciles of the data. CONCLUSIONS: This neighbors-based prediction approach allows for accurate estimates of PLUS-M T-score trajectories for people with LLA.

Examination of exclusion criteria in total knee arthroplasty rehabilitation trials: influence on the application of evidence in day-to-day practice.

OBJECTIVE: Total knee arthroplasty (TKA) rehabilitation trials use exclusion criteria, which may limit their generalizability in practice. We investigated whether patients seen in routine practice who meet common exclusion criteria recover differently from TKA compared to research-eligible patients. We hypothesized that research-ineligible patients would demonstrate poorer average postoperative function and slower rate of functional recovery compared to research-eligible patients. METHODS: Patient characteristics and exclusion criteria were extracted and summarized from trials included in the three most recent systematic reviews of TKA rehabilitation. Trial participant characteristics were compared to a clinical dataset of patient outcomes collected in routine TKA rehabilitation. Where possible, individual exclusion criterion from the trials were applied to the clinical dataset to determine "eligible" and "ineligible" groups for research participation. Postoperative functional outcomes including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Timed Up and Go (TUG) were compared between "eligible" and "ineligible" groups using mixed effects models. RESULTS: 2,528 participants from 27 trials were compared to 474 patients from the clinical dataset. Research participants were older, with lower Body Mass Index than patients in the clinical dataset. Many patients in the clinical dataset would be "ineligible" for research participation based upon common exclusion criteria from the trials. Differences were observed in average postoperative functioning between some "eligible" and "ineligible" groups in the clinical dataset. However, no differences were observed in functional recovery rate between groups, except for patients with diabetes whose TUG recovered more slowly than their "eligible" counterparts. CONCLUSIONS: Many patients in the clinical dataset were "ineligible" for research participation based upon common TKA rehabilitation trial exclusion criteria. However, the postoperative recovery rate did not differ between "eligible" and "ineligible" groups based on individual exclusion criterion-except for individuals with diabetes. This suggests that both clinical and research populations may recover similarly from TKA.

Psychometric Assessment of the Connor-Davidson Resilience Scale for People With Lower-Limb Amputation.

OBJECTIVE: The purpose of this study was to (1) determine the psychometric properties of the 25- and 10-item Connor-Davidson Resilience Scales (CD-RISC25, CD-RISC10) for people with lower-limb amputation (LLA) in middle age or later, and (2) describe relationships of the CD-RISC with biopsychosocial, sociodemographic, and health variables. METHODS: Participants were included if their most recent LLA was 1 or more years prior, if they were independently walking with a prosthesis, and if they were between 45 and 88 years of age (N = 122; mean = 62.5 years of age [SD = 8]; 59.5 [mean = 58] months since LLA; 88.5% male; 82.0% with dysvascular etiology; 68.0% with unilateral transtibial LLA). Psychometric analyses included assessment of skewness, floor and ceiling effects, internal consistency, and agreement between versions. Correlation analyses were used to determine associations between the CD-RISC with disability, perceived functional capacity, falls efficacy, life-space, anxiety, depression, self-efficacy, social support, sociodemographic, and health variables. Additionally, quartiles of participants were identified using CD-RISC25 and CD-RISC10 scores and compared using ANOVA and post-hoc comparisons for disability, perceived functional capacity, falls efficacy, and life-space. RESULTS: Skewness, floor, and ceiling effects of both CD-RISC versions were acceptable. Both versions of the CD-RISC were internally consistent (CD-RISC25: α = .92; CD-RISC10: α = .89). The CD-RISC25 and CD-RISC10 were highly correlated with disability, perceived functional capacity, falls efficacy, anxiety, depression, and self-efficacy (r = 0.52-0.67). CD-RISC25 and CD-RISC10 quartile differences, especially the lowest quartile, were identified for disability, perceived functional capacity, falls efficacy, and life-space. CONCLUSION: The CD-RISC25 and CD-RISC10 have acceptable psychometric properties for use with people who have LLA. CD-RISC scores are associated with clinically relevant biopsychosocial measures targeted by physical therapist intervention following LLA. IMPACT: The CD-RISC may be an appropriate tool to measure resilience following LLA.