Predicting performance in a doctor of physical therapy gross anatomy course based on an exploratory factor analysis of the anatomical self-efficacy instrument.

Measuring self-efficacy can be a valuable means for instructors to predict student performance. However, it is crucial to measure self-efficacy within specific contexts to effectively gauge students' perceptions of their capabilities. This study evaluated the factors comprising the Anatomical Self-Efficacy Instrument (ASEI) and determined whether these factors could predict performance in gross anatomy. Three cohorts of Doctor Physical Therapy (DPT) students completed the ASEI at the start of gross anatomy. An exploratory factor analysis (EFA) analyzed the ASEI's dimensionality, and Cronbach's alpha evaluated the internal consistency of the extracted factors. Linear regression was used to determine whether ASEI's total or subdomain scores predicted final anatomy course performance scores. In total, 142 of 287 (49.5%) DPT students completed the ASEI. EFA revealed three distinct factors, including "cognitive," "psychomotor," and "clinical anatomy self-efficacy", and explained 44.9%, 13.7%, and 5.2% of the total variance, respectively. Only cognitive self-efficacy predicted final gross anatomy course performance (ß = 0.34; R2 = 0.071; F(3,138) = 3.51; p < 0.05). Overall, the ASEI's 3-factor solution implies its multidimensionality, a finding that could inform the development of more comprehensive self-efficacy measures. Notably, "cognitive self-efficacy" was the only subdomain that predicted DPT student performance in anatomy, suggesting its potential as a tool for identifying students in need of additional learning support. The ASEI's practical usability should be further explored through additional psychometric testing.

Decreasing Hip Offset in Total Hip Arthroplasty Results in Decreased Physical Function Scores.

BACKGROUND: Acetabular and femoral offset play an important role in total hip arthroplasty (THA) for postoperative stability and biomechanical function. However, it is unknown whether offset impacts patient-reported outcomes (PROs). This study evaluated patients undergoing direct anterior (DA) THA with the hypothesis that patients who have a decrease in hip offset postoperatively would have lower physical function scores and higher pain interference. METHODS: There were 499 patients who underwent DA THA at a single tertiary academic institution who were retrospectively evaluated. Preoperative and postoperative hip offset was measured by 2 reviewers using the Sundsvall method on standing anteroposterior pelvis radiographs. Postoperative changes in hip offset were categorized as increased (> 5 mm), matched (within 5 mm of the preoperative offset measurement), or decreased ( >5 mm). Postoperative PROs with a minimum 1-year follow-up were recorded. A one-way analysis of variance was utilized to compare postoperative pain and PROs between groups. RESULTS: Patients who had decreased offset had the lowest mean postoperative physical function scores at 39.4 (8.0), followed by the increased offset group at 42.2 (10.4) and the matched offset group at 42.8 (9.8) (P < .01). There were significant differences in postoperative physical function scores between matched offset (42.8) and decreased offset (39.4) groups (P < .01), as well as between increased offset (42.2) and decreased offset (39.4) groups (P = .04). There was no difference between matched and increased offset cohorts. CONCLUSIONS: Our data suggests that reducing hip offset may result in worse physical function scores compared to those who have matched or increased hip offset. This should be considered intraoperatively, and efforts should be made to avoid reduced offset even in the presence of hip stability.

Use of Implementation Strategies to Promote the Uptake of Knee Osteoarthritis Practice Guidelines and Improve Patient Outcomes: A Systematic Review.

OBJECTIVE: Translation of knee osteoarthritis (KOA) clinical practice guidelines (CPGs) to practice remains suboptimal. The primary purpose of this systematic review was to describe the use of implementation strategies to promote KOA CPG-recommended care. METHODS: Medline (via PubMed), Embase, CINAHL, and Web of Science were searched from inception to February 23, 2023, and the search was subsequently updated and expanded on January 16, 2024. Implementation strategies were mapped per the Expert Recommendations for Implementing Change taxonomy. Risk of bias (RoB) was assessed using the Cochrane Effective Practice and Organisation of Care criteria. The review was registered prospectively (PROSPERO identifier: CRD42023402383). RESULTS: Nineteen studies were included in the final review. All (100% [n = 4]) studies that included the domains of "provide interactive assistance," "train and educate stakeholders" (89% [n = 16]), "engage consumers" (87% [n = 13]), and "support clinicians" (79% [n = 11]) showed a change to provider adherence. Studies that showed a change to disability included the domains of "train and educate stakeholders," "engage consumers," and "adapt and tailor to context." Studies that used the domains "train and educate stakeholders," "engage consumers," and "support clinicians" showed a change in pain and quality of life. Most studies had a low to moderate RoB. CONCLUSION: Implementation strategies have the potential to impact clinician uptake of CPGs and patient-reported outcomes. The implementation context, using an active learning strategy with a patient partner, restructuring funding models, and integrating taxonomies to tailor multifaceted strategies should be prioritized. Further experimental research is recommended to determine which implementation strategies are most effective.

Developing a Computer Vision Model to Automate Quantitative Measurement of Hip-Knee-Ankle Angle in Total Hip and Knee Arthroplasty Patients.

BACKGROUND: Increasing deformity of the lower extremities, as measured by the hip-knee-ankle angle (HKAA), is associated with poor patient outcomes after total hip and knee arthroplasty (THA, TKA). Automated calculation of HKAA is imperative to reduce the burden on orthopaedic surgeons. We proposed a detection-based deep learning (DL) model to calculate HKAA in THA and TKA patients and assessed the agreement between DL-derived HKAAs and manual measurement. METHODS: We retrospectively identified 1,379 long-leg radiographs (LLRs) from patients scheduled for THA or TKA within an academic medical center. There were 1,221 LLRs used to develop the model (randomly split into 70% training, 20% validation, and 10% held-out test sets); 158 LLRs were considered "difficult," as the femoral head was difficult to distinguish from surrounding tissue. There were 2 raters who annotated the HKAA of both lower extremities, and inter-rater reliability was calculated to compare the DL-derived HKAAs with manual measurement within the test set. RESULTS: The DL model achieved a mean average precision of 0.985 on the test set. The average HKAA of the operative leg was 173.05 ± 4.54°; the nonoperative leg was 175.55 ± 3.56°. The inter-rater reliability between manual and DL-derived HKAA measurements on the operative leg and nonoperative leg indicated excellent reliability (intraclass correlation (2,k) = 0.987 [0.96, 0.99], intraclass correlation (2, k) = 0.987 [0.98, 0.99, respectively]). The standard error of measurement for the DL-derived HKAA for the operative and nonoperative legs was 0.515° and 0.403°, respectively. CONCLUSIONS: A detection-based DL algorithm can calculate the HKAA in LLRs and is comparable to that calculated by manual measurement. The algorithm can detect the bilateral femoral head, knee, and ankle joints with high precision, even in patients where the femoral head is difficult to visualize.

Utility of Patient Reported Outcome Measurement Information System measures in predicting shoulder arthroplasty in patients with shoulder osteoarthritis.

BACKGROUND: The decision to treat shoulder osteoarthritis (OA) definitively with shoulder arthroplasty (SA) is multifactorial, considering objective findings, subjective information, and patient goals. The first goal of this study was to determine if Patient Reported Outcome Measurement Information System (PROMIS) measures correlated with patients with shoulder OA who underwent SA within 1 year. The second goal of this study was to determine if score cut-offs in PROMIS domains could further discriminate which shoulder OA patients underwent SA within 1 year. METHODS: This retrospective case-control study examined patients with a diagnosis of shoulder OA who consulted an orthopedic provider from November 1, 2020 to May 23, 2022, and recorded PROMIS measures in the domains of Physical Function, Depression, and/or Pain Interference. A surgical group was defined as patients who underwent SA within 1 year of the most recent PROMIS measures and the nonsurgical patients were defined as the control group. Mean PROMIS scores were compared between the surgical and control groups. Separate logistic regression models controlling for age, race, ethnicity, and comorbidity count were performed for each PROMIS domain as a 1) continuous variable, and then as 2) binary variable defined by PROMIS score cut-off points to determine which scores correlated with undergoing SA to further characterize the potential clinical utility of PROMIS score cut-offs in relating to undergoing SA. RESULTS: The surgical group of 478 patients was older (68.2 vs. 63.8 years), more often of White race (82.6% vs. 70.9%), and less often of Hispanic Ethnicity (1.5% vs. 2.9%) than the control group of 3343 patients. Using optimal cut-offs in PROMIS scores, Pain Interference ≥63 (odds ratio [OR] = 2.97 (2.41-3.64), P < .001), Physical Function ≤39 (OR = 1.81 (95% confidence interval, 1.48-2.22), P < .001), and depression ≥49 (OR = 1.82 (95% confidence interval, 1.50-2.22), P < .001) were all found to correlate with undergoing SA within 1 year in multivariable logistic regressions. CONCLUSION: The results of this study demonstrate that cut-off scores for PROMIS measures differentiated patients undergoing SA within 1 year. These cut-off scores may have clinical utility in aiding in decision-making regarding surgical candidates for SA. Further research is needed to validate these cut-off scores and determine how they relate to patient outcomes after SA.

Acute Intermittent Hypoxia Did Not Alter Pain Sensitivity or Pain Intensity Ratings for Individuals with Chronic Low Back Pain: A Pilot Study.

Aims and Objective: The purpose of this pilot study was to explore whether AIH produces changes in pain sensitivity or in reports of self-reported pain intensity for individuals with low back pain. Methods: In a quasi-experimental, cross-over design we compared participants (n = 9) exposed to normal room air and hypoxia using a commercially available gas blender. The treatment period consisted of 5 consecutive days of randomly assigned to AIH or room air. For the participants initially randomized to AIH there was cross-over to receive 5 more consecutive days of room air. Therefore, this design allowed for between group and within subject assessment of AIH effects. Pain sensitivity was assessed with quantitative sensory testing (QST) for posterior superior iliac spine pressure threshold, plantar thermal threshold, and peak pain ratings. Self-reported pain intensity for low back pain was assessed via the Brief Pain Inventory. Results: There were no between group differences for AIH and room air in pain sensitivity or self-reported pain intensity. In the within subject analyses larger effect sizes favoring AIH were detected for plantar measures of pain sensitivity but not for self-reported pain intensity. Conclusion: This study, while presenting null findings, describes an initial step in determining whether AIH can be used to increase pain relief. Based on this pilot study we offer guidance for future research including study design, AIH dosage, participant selection, and using AIH in combination with non-pharmacologic treatments.

Does Medically Supervised Weight Loss Prior to Total Knee Arthroplasty Improve Patient-Reported Pain and Physical Function?

BACKGROUND: Weight loss is commonly recommended before total knee arthroplasty (TKA) despite inconsistent evidence for better outcomes. This study sought to examine the impacts of preoperative weight loss on patient-reported and adverse outcomes among TKA patients supervised by a medical weight management clinic. METHODS: This study retrospectively analyzed patients who underwent medical weight management supervision within 18 months before TKA comparing patients who did and did not have clinically relevant weight loss. Preoperative body mass indices, demographics, Patient-Reported Outcomes Measurement Information System physical function and pain interference scores, pain intensity scores, and adverse outcomes were extracted. Multivariable linear regressions were performed to determine if preoperative weight loss correlated with patient-reported outcomes after controlling for confounders. RESULTS: There were 90 patients, 75.6% women, who had a mean age of 65 years (range, 42-82) and were analyzed. There were 51 (56.7%) patients who underwent clinically relevant weight loss with a mean weight loss of 10.4% and experienced no difference in adverse outcomes. Preoperative weight loss predicted significantly improved 3-month postoperative physical function (ß = 15.2 [13.0-17.3], P < .001), but not pain interference (ß = -18.9 [-57.1-19.4], P = .215) or pain intensity (ß = -1.8 [-4.9-1.2], P = .222) scores. CONCLUSION: We found that medically supervised preoperative weight loss predicted improvement in physical function 3 months after TKA. This weight loss caused no major adverse effects. Further research is needed to understand the causal relationships between preoperative weight loss, medical supervision, and outcome after TKA and to elucidate potential longer-term benefits in a larger sample.

Patient-reported outcome measures in physical therapy practice for neck pain: an overview of reviews.

BACKGROUND: Understanding which patient-reported outcome measures are being collected and utilized in clinical practice and research for patients with neck pain will help to inform recommendations for a core set of measures that provide value to patients and clinicians during diagnosis, clinical decision-making, goal setting and evaluation of responsiveness to treatment. Therefore, the aim of this study was to conduct a review of systematic reviews using a qualitative synthesis on the use of patient-reported outcome measures (PROMs) for patients presenting with neck pain to physical therapy. METHODS: An electronic search of systematic reviews and guideline publications was performed using MEDLINE (OVID), Embase (Elsevier), CINAHL Complete (EBSCOhost), and Web of Science (Clarivate) databases to identify reviews that evaluated physical therapy interventions or interventions commonly performed by a physical therapist for individuals with neck pain and included at least one patient-reported outcome measure. The frequency and variability in which the outcome measures were reported among the studies in the review and the constructs for which they measured were evaluated. The evaluation of a core set of outcome measures was assessed. Risk of bias and quality assessment was performed using A Measurement Tool to Assess systematic Reviews 2. RESULTS: Of the initial 7,003 articles, a total of 37 studies were included in the final review. Thirty-one PROMs were represented within the 37 reviews with eleven patient-reported outcome measures in three or more reviews. The eleven PROMs assessed the constructs of disability, pain intensity, psychosocial factors and quality of life. The greatest variability was found amongst individual measures assessing psychosocial factors. Assessment of psychosocial factors was the least represented construct in the included studies. Overall, the most frequently utilized patient reported outcome measures were the Neck Disability Index, Visual Analog Scale, and Numeric Pain Rating Scale. The most frequently used measures evaluating the constructs of disability, pain intensity, quality of life and psychosocial functioning included the Neck Disability Index, Visual Analog Scale, Short-Form-36 health survey and Fear Avoidance Belief Questionnaire respectively. Overall risk of bias and quality assessment confidence levels ranged from critically low (2 studies), low (12 studies), moderate (8 studies), and high (15 studies). CONCLUSION: This study identified a core set of patient-reported outcome measures that represented the constructs of disability, pain intensity and quality of life. This review recommends the collection and use of the Neck Disability Index and the Numeric Pain Rating Scale or Visual Analog Scale. Recommendation for a QoL measure needs to be considered in the context of available resources and administrative burden. Further research is needed to confidently recommend a QoL and psychosocial measure for patients presenting with neck pain. Other measures that were not included in this review but should be further evaluated for patients with neck pain are the Patient Reported Outcomes Measurement Information System (PROMIS) Physical function, PROMIS Pain Interference and the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) tool.

Associations Between Management Pathway and Opioid Prescriptions for Patients Entering the Emergency Department With Neck and Back Pain.

Objective: To determine associations between post-emergency department (ED) management pathways and downstream opioid prescriptions in patients seeking care for incident neck and/or back pain. Patients and Methods: We identified patients seeking first-time ED care for neck and/or back pain from January 1, 2013, through November 6, 2017. We reported demographic characteristics and opioid prescriptions across management pathways using descriptive statistics and assessed the relative risk of any opioid prescription 12 months post-ED visit among 5 different post-ED management pathways using Poisson regression adjusted for patient demographic characteristics. Results: Within 12 months after the index ED visit, 58.0% (n=10,949) were prescribed an opioid, with most patients prescribed an opioid within the first week (average daily morphine milligram equivalents of 6.8 mg (SD 9.6 mg). The morphine milligram equivalents decreased to 0.7 mg (SD 8.2 mg) by week 4 and remained consistently less than 1 mg between week 4 and 12 months. Compared with the ED to primary care provider pathway, the relative risk of opioid prescription between 7 days and 12 months after the index ED visit was similar for the ED to physical therapy pathway, higher for both the ED to hospital admission or repeat ED visit pathway (30% increase; relative risk (RR), 1.3; 95% CI, 1.17-1.44) and the ED to specialist pathway (19% increase; RR, 1.19; 95% CI, 1.07-1.33), and lower in the ED with no follow-up visits pathway (41% decrease; RR, 0.59; 95% CI, 0.54-0.65). Conclusion: In general, more conservative care was associated with lower opioid prescription rates, and escalated care was associated with higher opioid prescription rates.

Do You PROMIS (Patient Reported Outcomes Measurement Information System)? Physical Function and Pain Interference Scores After Total Knee and Hip Arthroplasty.

Background: Physical function and pain outcomes vary after arthroplasty. We investigated differences in postoperative Patient-Reported Outcomes Measurement Information System (PROMIS) physical function (PF) and pain interference (PI) scores for patients undergoing total knee arthroplasty (TKA) and total hip arthroplasty (THA). We aimed to identify preoperative factors that predict postoperative PROMIS scores. Methods: Patients who underwent TKA and THA from 2014-2020 were eligible. Preoperative variables including demographics, comorbidities, and pain scores were obtained from the medical record. Patients completed surveys measuring postoperative PF and PI. Descriptive statistics and separate linear regression models for each anatomical location were performed to examine factors predicting postoperative PROMIS PF and PI scores. Results: Surveys were completed by 2411 patients (19.5% response rate). Unadjusted mean PF postoperative scores were 47.2 for TKA and 48.8 for THA. Preoperative predictors of lower PF included female sex; body mass index and comorbidities for TKA and THA; and age, tobacco use, and non-White race for THA. Mean PI scores were 47.9 for THA and 49.0 for TKA. Preoperative predictors of increased PI included non-White race and increased body mass index for TKA and THA; higher preoperative pain for TKA; and female sex and increased comorbidity for THA. Conclusions: Postoperative PROMIS scores were similar for TKA and THA, with THA having slightly higher PF and lower PI scores. Regression models using preoperative variables showed similar performance for TKA compared with THA. These findings suggest areas for future development of clinical decision support tools.

Does Preoperative Weight Loss Within 6 Months or 1 Year Change the Risk of Adverse Outcomes in Total Knee Arthroplasty by Initial Body Mass Index Classification?

BACKGROUND: High body mass index (BMI) is associated with adverse outcomes after total knee arthroplasty (TKA). Thus, many patients are advised to lose weight before TKA. This study examined how weight loss before TKA is associated with adverse outcomes depending on patients' initial BMI. METHODS: This was a retrospective study of 2,110 primary TKAs at a single academic center. Data on preoperative BMIs, demographics, comorbidities, and incidences of revision or prosthetic joint infection (PJI) were obtained. Multivariable logistic regressions segmented by patients' initial (1-year preoperative) BMI classifications were performed to determine if a > 5% BMI decrease from 1 year or 6 months preoperatively predicted PJI and revision controlling for patient age, race, sex, and Elixhauser comorbidity index. RESULTS: Preoperative weight loss did not predict adverse outcomes for patients who had Obesity Class II or III. 6-month weight loss had greater odds of adverse outcomes than 1-year weight loss and most significantly predicted the occurrence of 1-year PJI (adjusted odds ratio: 6.55, P < .001) for patients who had Obesity Class 1 or lower. CONCLUSION: This study does not show a statistically significant effect to patients who had Obesity Class II and III losing weight preoperatively with respect to PJI or revision. For patients who have Obesity Class I or lower pursuing TKA, future research should consider potential risks associated with weight loss. Further study is needed to determine if weight loss can be implemented as a safe and effective risk reduction strategy for specific BMI classes of TKA patients.

Knee Injury and Osteoarthritis Outcome Score Trajectories After Primary Total Knee Arthroplasty in United States Veterans.

INTRODUCTION: The volume of total knee arthroplasty (TKA) procedures continues to increase, including among United States (US) veterans, but there is little data characterizing recovery using validated knee-related questionnaires. METHODS: In this prospective cohort study, we sought to establish the feasibility of longitudinal characterization of recovery after TKA using the validated Knee Injury and Osteoarthritis Outcome Score (KOOS), specifically focusing on two of the KOOS subscales (pain and quality of life (QOL)). We solicited participants who agreed to fill out these knee-related questionnaires preoperatively and 3, 6, and 12 months after discharge following unilateral TKA within the Durham Veterans Affairs Health Care System. We examined rates of prospective completion of the KOOS and face validity of scores at each study time point. We transformed and reported scores on the 0-100 scale, with zero representing significant knee pain or poor QOL and 100 representing no knee pain or good QOL. RESULTS: Of 200 US veterans presenting between May 2017 and 2018, 21 (10.5%) agreed to participate by filling out the KOOS questionnaire longitudinally from before surgery until one year after discharge. All 21 (100%) participants were male and completed the two KOOS subscale questions (pain and QOL) preoperatively. Of those, 16 (76.2%) also completed KOOS at 3 months, 16 (76.2%) at 6 months, and seven (33.3%) at 12 months. Compared to mean preoperative values (pain: 33.47 + 6.78, QOL: 11.91 + 4.99), the KOOS subscale scores had significantly improved by 6 months after TKA (pain: 74.41 + 10.72, QOL: 49.61 + 13.25) but plateaued at 12 months (pain: 74.60 + 20.80, QOL: 50.89 + 20.61). The magnitude of improvement in absolute scores, pain and QOL, was similar and significant at 12 months compared to preoperative values with an increase of 41.13 (p=0.007) and 38.98 (p=0.009), respectively. CONCLUSION: Primary TKA in US veterans with advanced osteoarthritis may lead to improved patient-reported KOOS pain and QOL subscale measures at 12 months compared to preoperative scores, with the majority of improvement occurring by 6 months. Only one in ten US veterans approached preoperatively agreed to complete the validated knee-related outcomes questionnaire prior to undergoing TKA. About three-quarters of those veterans also completed it both three and six months after discharge. Collected KOOS subscale scores demonstrated face validity and showed substantial improvement in pain and QOL over the six-month postoperative period. Only one in three veterans who completed the KOOS questionnaire preoperatively also completed it at 12 months, but this does not support the feasibility of follow-up assessments beyond 6 months. To better understand longitudinal pain and QOL trajectories in US veterans undergoing primary TKA for advanced osteoarthritis and to improve study participation, additional research using the KOOS questionnaire may add further insights into this underreported population.

Can Patient-Reported Outcome Measurement Information System Measures Estimate High Impact Chronic Pain After Total Joint Arthroplasty?

BACKGROUND: High impact chronic pain (HICP) is not typically measured following orthopedic surgeries, but has a substantial negative impact on postoperative quality of life. This analysis determined which Patient-Reported Outcome Measurement Information System (PROMIS) measures accurately estimate HICP status following total joint arthroplasty (TJA). METHODS: This was a secondary analysis of a hip and knee TJA cohort. HICP status was determined by two items from the Graded Chronic Pain Scale-Revised. The cohort (n = 2,400) consisted of 47.5% hip (n = 1,142) and 52.5% knee TJA (n = 1,258). For total hip arthroplasty (THA), 53.7% were women (n = 615), 48.6% were 65 years or older (n = 557), 72.5% completed the survey more than 24 months after first surgery (n = 831), and 9.9% had HICP (n = 114). For total knee arthroplasty (TKA), 54.3% were women (n = 687), 59.3% were 65 years or older (n = 750), 72.3% survey completed the survey more than 24 months after first surgery (n = 915), and 11.5% had HICP (n = 145). Included PROMIS measures were pain interference, physical function, anxiety, and sleep disturbance. First, discriminant function analysis determined PROMIS measure contribution to HICP status. Then, area under the curve (AUC) calculated the accuracy of PROMIS measures to estimate HICP status. Influences of sociodemographic and surgical characteristics on AUC were explored in sensitivity analyses. RESULTS: Results for TKA and THA were similar so they are presented collectively for the sake of brevity. Mean differences were identified for all PROMIS measures for those with HICP (All P values < 0.01). Pain interference (ß = 0.934) and sleep disturbance (ß = 0.154) were independently correlated with HICP status in discriminant function analyses. The AUC (95% CIs) for HICP were as follows: pain interference (.952-.973), physical function (.921-.949), sleep (.780-.838), and anxiety (.687-.757). Sensitivity analyses revealed little change in AUC and HICP cutoff scores for PROMIS pain interference and physical function. CONCLUSION: Two PROMIS measures commonly administered as standard of care for orthopedics, pain interference, and physical function, can be used to estimate HICP status for THA and TKA, thereby refining assessment of TJA outcomes.

Sleep disturbance, dyspnea, and anxiety following total joint arthroplasty: an observational study.

BACKGROUND: Patient-Reported Outcomes Measurement Information System (PROMIS) domains for sleep disturbance, anxiety, and dyspnea have been under-reported for total joint arthroplasty (TJA). The aims of this study were to report postoperative differences for these domains based on TJA location and chronic pain state. We also investigated whether these domains were associated with physical function and pain interference outcomes. METHODS: This was a retrospective, observational study of patients who underwent hip, knee, or shoulder TJA (primary and revision surgeries) at a single academic tertiary referral center. A subset of these patients completed an email-based survey for chronic pain grade (Chronic Pain Grade Scale-Revised) and sleep disturbance, anxiety, dyspnea, physical function, and pain interference (PROMIS short forms). Pre-operative and operative data were extracted from the electronic health record. Data analysis investigated PROMIS domains for differences in TJA location and chronic pain grade. Hierarchical linear regression determined associations of these domains with physical function and pain interference. RESULTS: A total of 2638 individuals provided informed consent and completed the email survey. In the ANOVA models for sleep disturbance, anxiety, and dyspnea, there was no location by chronic pain grade interaction (p > 0.05) and no difference based on TJA location (p > 0.05). There were differences for chronic pain grade (p < 0.01). The poorest postoperative outcome score for each domain was associated with high impact chronic pain. Furthermore, sleep disturbance and dyspnea had the strongest associations with physical function and pain interference (p < 0.01). CONCLUSIONS: Sleep disturbance, anxiety, and dyspnea did not vary based on TJA location, but were associated with postoperative chronic pain grade. Sleep disturbance and dyspnea were strongly associated with commonly reported outcomes of physical function and pain interference. These findings provide guidance for those interested in expanding TJA outcome assessment to include sleep disturbance, anxiety, and/or dyspnea.

The Lumbar Stenosis Prognostic Subgroups for Personalizing Care and Treatment (PROSPECTS) study: protocol for an inception cohort study.

BACKGROUND: Lumbar spinal stenosis (LSS) is a common degenerative condition that contributes to back and back-related leg pain in older adults. Most patients with symptomatic LSS initially receive non-operative care before surgical consultation. However, there is a scarcity of data regarding prognosis for patients seeking non-surgical care. The overall goal of this project is to develop and evaluate a clinically useful model to predict long-term physical function of patients initiating non-surgical care for symptomatic LSS. METHODS: This is a protocol for an inception cohort study of adults 50 years and older who are initiating non-surgical care for symptomatic LSS in a secondary care setting. We plan to recruit up to 625 patients at two study sites. We exclude patients with prior lumbar spine surgeries or those who are planning on lumbar spine surgery. We also exclude patients with serious medical conditions that have back pain as a symptom or limit walking. We are using weekly, automated data pulls from the electronic health records to identify potential participants. We then contact patients by email and telephone within 21 days of a new visit to determine eligibility, obtain consent, and enroll participants. We collect data using telephone interviews, web-based surveys, and queries of electronic health records. Participants are followed for 12 months, with surveys completed at baseline, 3, 6, and 12 months. The primary outcome measure is the 8-item PROMIS Physical Function (PF) Short Form. We will identify distinct phenotypes using PROMIS PF scores at baseline and 3, 6, and 12 months using group-based trajectory modeling. We will develop and evaluate the performance of a multivariable prognostic model to predict 12-month physical function using the least absolute shrinkage and selection operator and will compare performance to other machine learning methods. Internal validation will be conducted using k-folds cross-validation. DISCUSSION: This study will be one of the largest cohorts of individuals with symptomatic LSS initiating new episodes of non-surgical care. The successful completion of this project will produce a cross-validated prognostic model for LSS that can be used to tailor treatment approaches for patient care and clinical trials.

Does the implementation of clinical practice guidelines for low back and neck pain by physical therapists improve patient outcomes? A systematic review.

BACKGROUND: Physical therapy for neck and low back pain is highly variable despite the availability of clinical practice guidelines (CPG). This review aimed to determine the impact of CPG implementation on patient-level outcomes for spinal pain. Implementation strategies were also examined to determine prevalence and potential impact. METHODS: Multiple databases were searched through April 2021 for studies assessing CPG implementation in physical therapy for neck and low back pain. Articles were screened for eligibility. The Modified Downs and Black checklist was utilized to determine study quality. Due to the heterogeneity between studies, a meta-analysis was not performed. RESULTS: Twenty-one studies were included in this review. Implementation strategies were significantly varied between studies. Outcomes pertaining to healthcare utilization, pain, and physical functioning were assessed in relation to the implementation of CPGs. Multiple implementation strategies were identified, with Managing Quality as the most frequently utilized key implementation process. Findings indicate CPG implementation decreased healthcare utilization, but inconsistent results were found with physical functioning and pain outcomes. CONCLUSIONS: CPG implementation appears to have a beneficial effect on healthcare utilization outcomes, but may not impact pain and physical functioning outcomes. Effective CPG implementation strategies remain unknown, though utilizing implementation framework may improve outcomes. More research is needed to determine the most effective implementation strategies and effects on pain and physical function outcomes.

Can Patient-Reported Outcome Measurement Information System Measures Differentiate Patients Who Will Undergo Hip and Knee Total Joint Arthroplasty: A Retrospective Case-Control Study.

BACKGROUND: The Patient-Reported Outcome Measurement Information System (PROMIS) can be used to monitor patients in population-health-based programs. However, it is unknown which measures are most appropriate to differentiate patients who will undergo hip or knee total joint arthroplasty (TJA) in a cohort of patients with osteoarthritis. METHODS: A retrospective cohort of new patients consulting for treatment from November 17, 2017 to April 20, 2020 (cases: hip: n = 157, knee: n = 112; randomly selected nonsurgical controls: hip: n = 314, knee: n = 224) was extracted from the electronic health record. We recorded demographics, comorbidity, and PROMIS scores for 8 domains (physical function, pain interference, pain intensity, anxiety, depression, sleep disturbance, ability to participate in social roles and activities, and fatigue). We performed descriptive statistics to characterize the cohorts and baseline PROMIS scores and conducted logistic regression models to determine which PROMIS domains differentiated patients undergoing hip and knee TJA. RESULTS: In univariate comparisons of PROMIS domains, the hip and knee surgical cohorts differed from controls in physical function (P < .01), pain interference (P < .01), and ability to participate in social roles and activities (P < .02). In logistic regression models informed by univariate analyses, PROMIS physical function was the only PROMIS measure to differentiate undergoing surgery in both hip and knee cohorts (P < .01). CONCLUSION: PROMIS physical function can differentiate TJA cases from nonsurgical controls in both hip and knee patients. These findings have implications for considering which PROMIS measures to administer in patients with hip and knee osteoarthritis.

Chronic Pain Prevalence and Factors Associated With High Impact Chronic Pain following Total Joint Arthroplasty: An Observational Study.

Hip, knee, and shoulder arthroplasty are among the most frequently performed orthopaedic procedures in the United States. High impact and bothersome chronic pain rates following total joint arthroplasty (TJA) are unknown; as are factors that predict these chronic pain outcomes. This retrospective observational study included individuals that had a TJA from January 2014 to January 2020 (n = 2,638). Pre-operative and clinical encounter information was extracted from the electronic health record and chronic pain state was determined by email survey. Predictor variables included TJA location, number of surgeries, comorbidities, tobacco use, BMI, and pre-operative pain intensity. Primary outcomes were high impact and bothersome chronic pain. Rates of high impact pain (95% CI) were comparable for knee (9.8-13.3%), hip (8.3-11.8%) and shoulder (7.6-16.3%). Increased risk of high impact pain included non-white race, two or more comorbidities, age less than 65 years, pre-operative pain scores 5/10 or higher, knee arthroplasty, and post-operative survey completion 24 months or less. Rates of bothersome chronic pain (95% CI) were also comparable for knee (24.9-29.9%) and hip (21.3-26.3%) arthroplasty; but higher for shoulder (26.9-39.6%). Increased risk of bothersome chronic pain included non-white race, shoulder arthroplasty, knee arthroplasty, current or past tobacco use, and being female. PERSPECTIVE: In this cohort more than 1/3rd of individuals reported high impact or bothersome chronic pain following TJA. Non-white race and knee arthroplasty were the only two variables associated with both chronic pain outcomes.

Presurgical and Postsurgical Opioid Rates in Patients Undergoing Total Shoulder Replacement Surgery.

BACKGROUND: The purpose of this study was to describe the pre- and postsurgical opioid prescription rates and average morphine milligram equivalents (MME) per day in patients undergoing total shoulder replacement (TSR) procedures. METHODS: Patients undergoing TSR were identified from the electronic health records (EMR). In addition to patient demographics, opioid prescription 12-months presurgery and postsurgery were recorded. Patients were categorized into two groups: patients with no opioid prescriptions within 12 months before surgery and patients with an opioid prescription after surgery. McNemar tests were conducted to test for significant presurgical to postsurgical changes in opioid rate changes. The Wilcoxon signed rank test was used to test for significant pre- to postsurgical changes in average MME/day/person, and bivariate logistic regression analyses and covariate-adjusted logistic regressions were used to predict postsurgical opioid prescriptions. RESULTS: Overall, 1,076 patients underwent TSR. More than 900 patients received presurgical opioid prescriptions. There was a significant increase (p = .0015) in pre-surgical to postsurgical prescription rates. Postsurgical opioid prescriptions were 4.6 times more likely to be prescribed to a pre-surgical non-opioid patient than an opioid patient (p < .0001). Among those prescribed an opioid, the median dosage was <50 MME/day and over 82% of patients were at low overdose risk. Patients with comorbidities and without pre-surgical alcohol use were more likely to receive postsurgical opioids. Postsurgical opioid prescriptions were 4.6 times more likely to be prescribed to a presurgical non-opioid patient than an opioid patient (p < .0001). More than 80% of patients undergoing TSR received presurgical opioids. Among those prescribed any opioid, the median dosage was <50 MME/day and greater than 82% of patients were at low overdose risk. CONCLUSIONS: Although presurgical non-opioid patients were more likely to receive a postsurgical opioid prescription, based on dosage, most patients were at low risk for an opioid-related overdose or death according to CDC guidelines.