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In this perspective article, a number of conclusions and recommendations are offered based on the articles in this special issue of PTJ. In this special issue, a new approach to physical therapy, termed \"psychologically informed practice,\" is offered as a \"middle way\" between narrowly focused standard physical therapist practice based on biomedical principles and the more cognitive-behavioral approaches developed originally for the treatment of mental illness. This new approach uses the \"flags\" framework, with psychologically informed practice requiring routine and specific consideration of \"yellow flags\" and \"blue flags\" (depending on clinical setting) for determining risk of poor outcome and identifying the potential for treatment modification-but with cognizance of the overall environment or context in which the clinician must operate. This context includes professional culture, health care policy, and insurance reimbursement (potential \"black flags\"). The primary goal of this approach is to prevent the development of unnecessary pain-associated activity limitations. The approach is based on the identification of normal psychological processes that affect the perception of pain and the response to it as an expected and normal part of the musculoskeletal pain experience and that are potentially modifiable. The potential for linking risk identification with targeted treatment has been discussed, this article focuses on the potential implications for training and implementation, drawing on experience in developing training programs in which the trainees have welcomed this new approach, viewing it as a helpful extension of their basic professional training. Indeed, this new approach can be viewed as evolutionary rather than revolutionary, in that it builds upon the established professional expertise of physical therapists, but incorporates systematic attention to the psychosocial factors that are associated with outcome of treatment.

Chronic pain affects 50 million Americans and is often treated with non-pharmacologic approaches like physical therapy. Developing a no-show prediction model for individuals seeking physical therapy care for musculoskeletal conditions has several benefits including enhancement of workforce efficiency without growing the existing provider pool, delivering guideline adherent care, and identifying those that may benefit from telehealth. The objective of this paper was to quantify the national prevalence of no-shows for patients seeking physical therapy care and to identify individual and organizational factors predicting whether a patient will be a no-show when seeking physical therapy care. Retrospective cohort study. Commercial provider of physical therapy within the United States with 828 clinics across 26 states. Adolescent and adult patients (age cutoffs: 14-117 years) seeking non-pharmacological treatment for musculoskeletal conditions from January 1, 2016, to December 31, 2017 (n = 542,685). Exclusion criteria were a primary complaint not considered an MSK condition or improbable values for height, weight, or body mass index values. The study included 444,995 individuals. Prevalence of no-shows for musculoskeletal conditions and predictors of patient no-show. In our population, 73% missed at least 1 appointment for a given physical therapy care episode. Our model had moderate discrimination for no-shows (c-statistic:0.72, all appointments; 0.73, first 7 appointments) and was well calibrated, with predicted and observed no-shows in good agreement. Variables predicting higher no-show rates included insurance type; smoking-status; higher BMI; and more prior cancellations, time between visit and scheduling date, and between current and previous visit. The high prevalence of no-shows when seeking care for musculoskeletal conditions from physical therapists highlights an inefficiency that, unaddressed, could limit delivery of guideline-adherent care that advocates for earlier use of non-pharmacological treatments for musculoskeletal conditions and result in missed opportunities for using telehealth to deliver physical therapy.

Background The integration of Patient Reported Outcome Measures (PROMs) into clinical care presents many challenges for health systems. PROMs provide quantitative data regarding patient-reported health status. However, the most effective model for collecting PROMs has not been established. Therefore the purpose of this study is to report the development and preliminary evaluation of the standardized collection of PROMs within a department of orthopedic surgery at a large academic health center. Methods We utilized the Users’ Guide to Integrating Patient - Reported Outcomes in Electronic Health Records by Gensheimer et al., 2018 as a framework to describe the development of PROMs collection initiative. We framed our initiative by operationalizing the three aspects of PROM collection development: Planning, Selection, and Engagement. Next, we performed a preliminary evaluation of our initiative by assessing the response rate of patients completing PROMs (no. of PROMs completed/no. of PROMs administered) across the entire department (18 clinics), ambulatory clinics only (14 clinics), and hospital-based clinics only (4 clinics). Lastly, we reported on the mean response rates for the top 5 and bottom 5 orthopaedic providers to describe the variability across providers. Results We described the development of a fully-integrated, population health based implementation strategy leveraging the existing resources of our local EHR to maximize clinical utility of PROMs and routine collection. We collected a large volume of PROMs over a 13 month period ( n  = 10,951) across 18 clinical sites, 7 clinical specialties and over 100 providers. The response rates varied across the department, ranging from 29 to 42%, depending on active status for the portal to the electronic health record (MyChart). The highest single provider mean response rate was 52%, and the lowest provider rate was 13%. Rates were similar between hospital-based (26%) and ambulatory clinics (29%). Conclusions We found that our standardized PROMs collection initiative, informed by Gensheimer et al., achieved scope and scale, but faced challenges in achieving a high response rate commensurate with existing literature. However, most studies reported a targeted recruitment strategy within a narrow clinical population. Further research is needed to elucidate the trade-off between scalability and response rates in PROM collection initiatives.

Background Recovery from low back pain (LBP) is an important outcome for patients and clinicians. Psychological factors are known to impact the course of LBP but have not been extensively investigated for predicting recovery. The purposes of this study were to: 1) describe LBP recovery rates at 6 months following 4 weeks of physical therapy; 2) identify psychological factors predictive of 6 month recovery status; and 3) identify psychological factors that co-occur with 6 month recovery status. Methods This study was a secondary analysis of a prospective cohort of patients (n = 111) receiving outpatient physical therapy for LBP. Patients were administered the STarT Back Screening Tool (SBT), individual psychological measures, a numerical pain rating scale (NPRS) and Roland Morris Disability Questionnaire (RMDQ) at intake, 4-week, and 6-month assessments. LBP recovery was operationally defined based on meeting NPRS = 0/10 and RMDQ ≤ 2 criterion at 6-month follow-up assessment. Recovery groups were then compared for differences on all variables at intake and on individual psychological measures at 6-months. Discriminant function analysis (DFA) identified which descriptive variables were predictive of recovery status. Results The 6-month recovery rate was 14/111 (12.6%) for the combined NPRS and RMDQ criterion. Non-recovered patients were associated with SBT risk status (p = 0.004), higher intake pain intensity (p = .008) and higher depressive symptoms (p < .001) scores compared to recovered patients. The overall accuracy for intake classification using DFA was 87.2% with SBT risk status, pain intensity, and depressive symptoms all making unique contributions. At 6-months, non-recovered patients had higher fear-avoidance, kinesiophobia, and depressive symptoms (p’s < .001) compared to recovered patients. The overall accuracy for 6-month classification using DFA was 86.4% with fear-avoidance, kinesiophobia, and depressive symptoms all making unique contributions. Conclusions Our findings indicated that psychological risk status, depressive symptoms, and pain intensity were predictive of 6 month recovery status. Furthermore elevated fear-avoidance, kinesiophobia, and depressive symptoms co-occurred with non-recovery at 6 months. Future studies should investigate whether stratified psychologically informed treatment options have the potential to improve recovery rates for those most at risk for non-recovery.

Musculoskeletal pain conditions incur high costs and produce significant personal and public health consequences, including disability and opioid-related mortality. Persistence of high-cost health care utilization for musculoskeletal pain may help identify system inefficiencies that could limit value of care. The objective of this study was to identify factors associated with persistent high-cost utilization among individuals seeking health care for musculoskeletal pain. This was a retrospective cohort study of Medical Expenditure Panel Survey data (2008-2013) that included a non-institutionalized, population-based sample of individuals seeking health care for a musculoskeletal pain condition (n = 12,985). Expenditures associated with musculoskeletal pain conditions over two consecutive years were analyzed from prescribed medicine, office-based medical provider visits, outpatient department visits, emergency room visits, inpatient hospital stays, and home health visits. Persistent high-cost utilization was defined as being in the top 15th percentile for annual musculoskeletal pain-related expenditures over 2 consecutive years. We used multinomial regression to determine which modifiable and non-modifiable sociodemographic, health, and pain-related variables were associated with persistent high-cost utilization. Approximately 35% of direct costs for musculoskeletal pain were concentrated among the 4% defined as persistent high-cost utilizers. Non-modifiable variables associated with expenditure group classification included age, race, poverty level, geographic region, insurance status, diagnosis type and total number of musculoskeletal pain diagnoses. Modifiable variables associated with increased risk of high expenditure classification were higher number of missed work days, greater pain interference, and higher use of prescription medication for pain, while higher self-reported physical and mental health were associated with lower risk of high expenditure classification. Health care delivery models that prospectively identify these potentially modifiable factors may improve the costs and value of care for individuals with musculoskeletal pain prone to risk for high-cost care episodes.

Background Musculoskeletal pain conditions are prevalent and costly, with practice guidelines consistently recommending non-pharmacologic interventions as first-line treatments. Physical therapists are common providers of non-pharmacologic pain care, and early access to their services is believed to reduce the risk of care intensification, including opioid use, injections, surgery, and emergency department visits. New programs that remove visit copays to encourage early use of physical therapy are being implemented, but intensification rates and predictors of intensification among patients that use these programs are poorly understood. This study aims to (1) describe care intensification rates and (2) identify patient-level factors associated with the intensification of care among beneficiaries using a program that removes co-pays to promote early access physical therapy for musculoskeletal conditions. Methods A secondary analysis was conducted using retrospective health care claims and registry data from patients initiating care in a no co-pay physical therapy program. The study included patients ( n  = 1,171) treated for musculoskeletal conditions between April 2020 and June 2021. Care intensification was defined as the receipt of advanced imaging, injections, surgery, or opioid prescriptions within 30 days and 12 months following the initiation of physical therapy. Results In the 12 months following program initiation, 13.1% of patients experienced care intensification to advanced imaging, 7.5% underwent surgery, 17.3% received injections, and 10.3% were prescribed new opioids. Overall, 31.9% of patients experienced some form of care intensification. At the individual service level, 20.9% of advanced imaging, 10.2% of surgeries, 27.2% of injections, and 14.9% of new opioid prescription escalations occurred within 30 days of program initiation. Older age was consistently associated with higher odds of care intensification across different types of services. Body region was not a significant predictor of care intensification. Conclusion Almost one-third of patients using a no copay physical therapy program experienced some form of care intensification within a year, with rates of intensification similar across body regions of pain. Older age was a consistent predictor of care intensification and future research should determine if and how these programs can be improved to meet the needs of older adults. Clinical trial number Not applicable.

Background In the United States, value-based purchasing has created the need for healthcare systems to prospectively identify patients at risk for high healthcare utilization beyond a physical therapy episode for musculoskeletal pain. The purpose of this study was to determine predictors of pain-related healthcare utilization subsequent to an index episode of physical therapy for musculoskeletal pain. Methods This study assessed data from the Optimal Screening for Prediction of Referral and Outcome (OSPRO) longitudinal cohort study that recruited individuals with a primary complaint of neck, low back, knee or shoulder pain in physical therapy ( n  = 440). Demographics, health-related information, review of systems, comorbidity and pain-related psychological distress measures were collected at baseline evaluation. Baseline to 4-week changes in pain intensity, disability, and pain-related psychological distress were measured as treatment response variables. At 6-months and 1-year after baseline evaluation, individuals reported use of opioids, injection, surgery, diagnostic tests or imaging, and emergency room visits for their pain condition over the follow-up period. Separate prediction models were developed for any subsequent care and service-specific utilization. Results Subsequent pain-related healthcare utilization was reported by 43% ( n  = 106) of the study sample that completed the 12-month follow-up ( n  = 246). Baseline disability and 4-week change in pain intensity were important global predictors of subsequent healthcare utilization. Age, insurance status, comorbidity burden, baseline pain, and 4-week changes in pain intensity, disability and pain-related psychological distress predicted specific service utilization. Conclusion In those completing follow up measures, risk of additional pain-related healthcare utilization after physical therapy was best predicted by baseline characteristics and 4-week treatment response variables for pain intensity, disability and pain-related psychological distress. These findings suggest treatment monitoring of specific response variables could enhance identification of those at risk for future healthcare utilization in addition to baseline assessment. Further study is required to determine how specific characteristics of the clinical encounter influence future utilization.

Background Patients’ psychological health may influence recovery and functional outcomes after total knee arthroplasty (TKA). Pain catastrophizing, known to be associated with poor function following TKA, encompasses rumination, magnification, and helplessness that patients feel toward their pain. Resilience, however, is an individual's ability to adapt to adversity and may be an important psychological construct that supersedes the relationship between pain catastrophizing and recovery. In this study we sought to identify whether pre-operative resilience is predictive of 3-month postoperative outcomes after adjusting for pain catastrophizing and other covariates. Methods Patients undergoing TKA between January 2019 and November 2019 were included in this longitudinal cohort study. Demographics and questionnaires [Brief Resilience Scale (BRS), Pain Catastrophizing Scale (PCS), Knee injury and Osteoarthritis Outcome Score, Junior (KOOS, JR.) and Patient-Reported Outcomes Measurement Information System Physical and Mental Health (PROMIS PH and MH, respectively)] were collected preoperatively and 3 months postoperatively. Multivariable regression was used to test associations of preoperative BRS with postoperative outcomes, adjusting for PCS and other patient-level sociodemographic and clinical characteristics. Results The study cohort included 117 patients with a median age of 67.0 years (Q1–Q3: 59.0–72.0). Fifty-three percent of patients were women and 70.1% were white. Unadjusted analyses identified an association between resilience and post-operative outcomes and the relationship persisted for physical function after adjusting for PCS and other covariates; in multivariable linear regression analyses, higher baseline resilience was positively associated with better postoperative knee function (β = 0.24, p  = 0.019) and better general physical health (β = 0.24, p  = 0.013) but not general mental health (β = 0.04, p  = 0.738). Conclusions Our prospective cohort study suggests that resilience predicts postoperative knee function and general physical health in patients undergoing TKA. Exploring interventions that address preoperative mental health and resilience more specifically may improve self-reported physical function outcomes of patients undergoing TKA.

Background The Association of American Medical Colleges suggests an Experiences-Attributes-Metrics framework for holistic review, but there is minimal research on demographic and personal characteristic attributes and the interplay between these Attributes subcategories. Understanding how personal attributes may vary among students considered represented and those considered underrepresented in one or more categories is critical to avoid unintentionally perpetuating practices that favor represented groups. This study explored differences in six personal characteristics either consistently related to academic performance or deemed positive professional traits based on diversity characteristics (categories of underrepresentation), age, and sex. Methods Three cohorts of first-year Doctor of Physical Therapy students at a single institution were invited to participate in this prospective, observational study. Participants completed six surveys: PROMIS® General Self-efficacy, PROMIS® Anxiety, 12-item Grit Scale, Perceived Stress Scale-10 (PSS-10), Brief Resilience Scale (BRS), and PROMIS® Positive Affect. T-tests and ANOVAs (or nonparametric equivalents) were used to examine differences in these measures by number of diversity characteristics, age, and sex. Multivariate linear regression was used to determine if diversity characteristics explained additional variance in each of the personal attribute scores after controlling for age and sex. Results One Hundred and Forty Five students participated (80.7% female, 77.9% < 25 years old, 51% 0 diversity characteristics). Students with more diversity characteristics and males reported higher self-efficacy and resilience (p’s < 0.05). Females reported higher anxiety (p’s < 0.01). Diversity characteristics explained additional variance in self-efficacy (3.3%, p  = 0.02) and resilience (2.5%, p  = 0.05) after controlling for age and sex. Grit, perceived stress, and positive affect did not show any group differences. Conclusions Underrepresented students demonstrated higher self-efficacy and resilience than their represented peers, qualities that may be important to overcome challenges prior to and during graduate school. Males exhibited higher self-efficacy and resilience, but lower anxiety than females which is generally consistent across higher education. Grit, perceived stress, and positive affect were similar across all students and may be less useful to create a diverse learning environment. Further studies should investigate differences in attributes among admitted and unadmitted students and the relationship to future performance for admitted students.

A central theme of current evidence-based guidelines for managing low back pain is endorsement of the resumption of activities despite the presence of pain. This task can be challenging for both therapists and patients, and there are many essentially psychological obstacles to implementing the guidelines. These obstacles can be overcome by knowing how to recognize potential psychological obstacles and understanding the options for managing psychological obstacles in combination with activity-based interventions. This article is intended to address these tasks by explaining and describing the application of empirically based psychological principles and strategic clinical reasoning. Importantly, the roles of skills in assessment, treatment planning, and communication with patients are identified as essential but feasible skills for physical therapists to acquire with appropriate training.