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Objective. The coronavirus disease-2019 pandemic has facilitated the emergence of telerehabilitation, but it is unclear which patients are most likely to respond to physical therapy provided this way. The purpose of this study was to examine the relationship between individual patient factors and substantial clinical benefit from telerehabilitation among a cohort of patients with chronic low back pain (LBP). Methods. This is a secondary analysis of data collected during a prospective longitudinal cohort study. Patients with chronic LBP (N = 98) were provided with a standardized physical therapy protocol adapted for telerehabilitation. We examined the relationship between patient factors and substantial clinical benefit with telerehabilitation, defined as a [greater than or equal to]50% improvement in disability at 10 weeks, measured using the Oswestry Disability Index. Results. Sixteen (16.3%) patients reported a substantial clinical benefit from telerehabilitation. Patients reporting substantial clinical benefit from telerehabilitation had lower initial pain intensity, lower psychosocial risk per the STarT Back Screening Tool, higher levels of pain self-efficacy, and reported higher therapeutic alliance with their physical therapist compared to other patients. Conclusion. Patients with lower psychosocial risk and higher pain-self efficacy experienced substantial clinical benefit from telerehabilitation for chronic LBP more often than other patients in our cohort. Therapeutic alliance was higher among patients who experienced a substantial clinical benefit compared to those who did not. Impact. This study indicates that psychosocial factors play an important role in the outcomes of patients receiving telerehabilitation for chronic LBP. Baseline psychosocial screening may serve as a method for identifying patients likely to benefit from this approach. Keywords: Patient-Centered Care, Precision Medicine, Risk Factors, Telemedicine, Introduction During the early phases of the coronavirus disease-2019 (COVID-19) pandemic, state and federal policies were modified, allowing many physical therapists in the United States to begin providing care through [...]

Objective: The purpose of this study was to determine the proportion of patients with low back pain who achieved clinical improvement in disability within 3 or 6 physical therapy visits, identify factors that predicted improvement, and predict the probability of improvement by the third and sixth visits. Methods: This retrospective, observational study looked at patients (N = 6523) who completed a numeric pain scale and Modified Low Back Disability Questionnaire (MDQ) at every visit. Four prediction models were developed: 30% improvement by visit 3 and by visit 6 and 50% improvement by visit 3 and by visit 6. A logistic regression model was fit to predict patients' improvement in disability using the MDQ. Predictive models used age, disability scores, sex, symptom duration, and payer type as factors. Receiver operating characteristic curves and area under the curve were computed for the models. Nomograms illustrate the relative impacts of the predictor variables. Results: Disability improved 30% in 42.7% of patients by visit 3 and 49% by visit 6. Disability improved 50% in 26% of patients by visit 3 and 32.9% by visit 6. First visit score (MDQ1) was strongest factor to predict 30% improvement by visit 3. The visit 3 score (MDQ3) was strongest factor to predict a 30% or 50% improvement by visit 6. The combination of MDQ1 and MDQ3 scores was strongest overall predictive factor for visit 6. The area under the curve values for models using only the MDQ1 and MDQ3 scores to predict 30% or 50% improvement by the sixth visit were 0.84 and 0.85, respectively, representing excellent overall diagnostic accuracy of the prediction models. Conclusion: Excellent discrimination to predict patients' significant clinical improvement by visit 6 using 2 outcome scores was demonstrated. Gathering outcomes routinely enhances assessment of prognosis and clinical decision making. Impact: Understanding prognosis of clinical improvement supports physical therapists' contribution to value-based care. Keywords: Low Back Pain, Outcome Assessment (Health Care), Patient Care Planning, Predictive Value of Tests, Prognosis, Rehabilitation, Introduction Health care reform is being driven by rising costs of care, variation in quality, and the adoption of costly, new technology. (1) Low back pain (LBP) is a prevalent [...]

Objective. This study sought to develop and validate an original prediction formula that estimated the probability of success for patients with low back pain (LBP) to achieve a minimal clinically important difference (MCID) on the Modified Low Back Disability Questionnaire (MDQ). Methods. Patients were 10 to 90 years old in this retrospective cohort study. Data were extracted from Intermountain Healthcare's registry, Rehabilitation Outcomes Management System: 62,858 patients admitted to physical therapy from 2002 to 2013 formed the training dataset, and 15,128 patients admitted 2015 to 2016 formed the verification dataset. Predicted probability to achieve MCID was compared with the actual percentage who succeeded. Two models were developed: 6-point improvement and 30% improvement. MDQ assessed disability, and numeric pain score assessed pain intensity. Predictive models used restricted cubic splines on age, initial pain, and disability scores for non-linear effects. Sex, symptom duration, and payer type were included as indicator variables. Predicted chance of success was compared with the actual percentage of patients that succeeded. Relative change in R-squared was calculated to assess variable importance in predicting success. Odds ratios for duration of injury and payer were calculated. Results. A positive trend was observed in both models between predicted and actual success achieved. Both 'verification' models appear accurate and closely approximate the 'training dataset.' Baseline MDQ score was the most important factor to predict a 6-point improvement. Payer type and injury duration were important factors to predict 30% improvement. Best odds to achieve an MCID was having a workers compensation insurance payer and seeking care within 14 days. Conclusion. The 2 models demonstrated an accurate visualization of the chance of patients achieving significant improvement compared with the usual representation of the average rate of improvement for all patients. Impact. Enhancing physical therapists' understanding of the probability of a patient achieving significant clinical improvement can enhance decision-making processes and help physical therapists manage a patient's care more effectively. Keywords: Low Back Pain, Outcome Assessment (Health Care), Prognosis, Introduction Physical therapist treatment for patients with low back pain (LBP) has been shown to be effective at reducing disability and medical costs. (1) The highest amount of spending for [...]

Background. The Centers for Medicare and Medicaid Services (CMS) require physical therapists document patients' functional limitations. The process is not standardized. A systematic approach to determine a patient's functional limitations [...]