Patient Choice After Referral to Physical Therapy for Lower Back Pain and Knee Osteoarthritis.

Objective: To assess factors influencing Veterans' decisions to initiate physical therapy (PT) after referral for low back pain (LBP) or knee osteoarthritis (OA). Design: Qualitative study using individual semistructured telephone interviews. Setting: Durham Veterans Health Administration Health Care System. Participants: A total of 44 Veteran patients (N=44) aged 26-85 were referred for LBP or knee OA between January and August 2021. Results: Patient-level factors influencing PT initiation included confusion with navigating the health system, efficacy beliefs about PT, and thoughts about physical therapists' ability to diagnose their pain. At the provider level, discussion about PT care appeared to increase initiation of PT. At the system level, influences included wait times, availability of appointments outside business hours, and easy-to-access locations. Motivational themes included respondents' symptoms and functional limitations that drove them to initiate care. Respondents suggested that changes to wait times through same-day or rapid appointments, assistance and increased ease of the scheduling process, transportation support, convenient care locations, and information about PT, including its benefits, could improve PT care access. Conclusions: This study of patient perceptions of initiating PT care after referral identified tangible barriers to care at patient, provider, and system levels for respondents with LBP or knee OA. Patient knowledge and system-level barriers, including how challenging the system is to navigate, are major factors that reduce patients' use of PT after referral. Health systems and physical therapists should address barriers to care through patient education, scheduling assistance, and changes to the health care system, including options for same-day appointments.

Social Risk Factors Are Associated With Disability Prevalence - Results From 17 States in the 2017 Behavioral Risk Factor Surveillance System.

PURPOSE: Determine the association between incremental increases in the number of social risk factors and the prevalence of any disability and disability type. DESIGN: The cross-sectional analysis was conducted using 2017 Behavioral Risk Factor Surveillance System data from states whose surveys included items about social risk factors. SETTING: Respondents from 17 US states. SUBJECTS: Respondents included 136 432 adults. MEASURES: Dichotomized social risk factors included food, housing, and financial insecurity, unsafe neighborhood, and healthcare access hardship. ANALYSIS: Weighted χ2 and logistic regression analyses adjusted for demographic characteristics, measures of socioeconomic position, and comorbid health conditions were used to examine differences in the prevalence of disability by social risk factor and via a social risk index created by summing the social risk factors. RESULTS: Compared to those reporting 0 social risk factors, respondents reporting ≥4 had more than thrice the odds of reporting a cognition ((adjusted odds ratio [AOR]=3.37; 95%CI [2.75-4.13]), independent living (AOR=3.24 [2.52-4.15]), self-care (AOR=3.33 [2.55-4.34]), or any disability (AOR=3.90 [3.24-4.70]); more than twice the odds of reporting a vision (AOR=2.61 [1.93-3.52]) or mobility (AOR=2.72 [2.16-3.41]) disability; and more than 1.5 times the odds of reporting a hearing disability (AOR=1.59 [1.22-2.07]). CONCLUSIONS: Incremental increases in the number of social risk factors were independently associated with higher odds of disability. Intervention efforts should address the social context of US adults with disabilities to improve health outcomes.

Telehealth for the Longitudinal Management of Chronic Conditions: Systematic Review.

BACKGROUND: Extensive literature support telehealth as a supplement or adjunct to in-person care for the management of chronic conditions such as congestive heart failure (CHF) and type 2 diabetes mellitus (T2DM). Evidence is needed to support the use of telehealth as an equivalent and equitable replacement for in-person care and to assess potential adverse effects. OBJECTIVE: We conducted a systematic review to address the following question: among adults, what is the effect of synchronous telehealth (real-time response among individuals via phone or phone and video) compared with in-person care (or compared with phone, if synchronous video care) for chronic management of CHF, chronic obstructive pulmonary disease, and T2DM on key disease-specific clinical outcomes and health care use? METHODS: We followed systematic review methodologies and searched two databases (MEDLINE and Embase). We included randomized or quasi-experimental studies that evaluated the effect of synchronously delivered telehealth for relevant chronic conditions that occurred over ≥2 encounters and in which some or all in-person care was supplanted by care delivered via phone or video. We assessed the bias using the Cochrane Effective Practice and Organization of Care risk of bias (ROB) tool and the certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation. We described the findings narratively and did not conduct meta-analysis owing to the small number of studies and the conceptual heterogeneity of the identified interventions. RESULTS: We identified 8662 studies, and 129 (1.49%) were reviewed at the full-text stage. In total, 3.9% (5/129) of the articles were retained for data extraction, all of which (5/5, 100%) were randomized controlled trials. The CHF study (1/5, 20%) was found to have high ROB and randomized patients (n=210) to receive quarterly automated asynchronous web-based review and follow-up of telemetry data versus synchronous personal follow-up (in-person vs phone-based) for 1 year. A 3-way comparison across study arms found no significant differences in clinical outcomes. Overall, 80% (4/5) of the studies (n=466) evaluated synchronous care for patients with T2DM (ROB was judged to be low for 2, 50% of studies and high for 2, 50% of studies). In total, 20% (1/5) of the studies were adequately powered to assess the difference in glycosylated hemoglobin level between groups; however, no significant difference was found. Intervention design varied greatly from remote monitoring of blood glucose combined with video versus in-person visits to an endocrinology clinic to a brief, 3-week remote intervention to stabilize uncontrolled diabetes. No articles were identified for chronic obstructive pulmonary disease. CONCLUSIONS: This review found few studies with a variety of designs and interventions that used telehealth as a replacement for in-person care. Future research should consider including observational studies and studies on additional highly prevalent chronic diseases.

Association of Burden and Prevalence of Arthritis With Disparities in Social Risk Factors, Findings From 17 US States.

INTRODUCTION: Social risks previously have been associated with arthritis prevalence and costs. Although social risks often cluster among individuals, no studies have examined associations between multiple social risks within the same individual. Our objective was to determine the association between individual and multiple social risks and the prevalence and burden of arthritis by using a representative sample of adults in 17 US states. METHODS: Data are from the 2017 Behavioral Risk Factor Surveillance System. Respondents were 136,432 adults. Social risk factors were food insecurity, housing insecurity, financial insecurity, unsafe neighborhoods, and health care access hardship. Weighted χ2 and logistic regression analyses, controlling for demographic characteristics, measures of socioeconomic position, and other health conditions examined differences in arthritis prevalence and burden by social risk factor and by a social risk index created by summing the social risk factors. RESULTS: We observed a gradient in the prevalence and burden of arthritis. Compared with those reporting 0 social risk factors, respondents reporting 4 or more social risk factors were more likely to have arthritis (adjusted odds ratio [AOR], 1.92; 95% CI, 1.57-2.36) and report limited usual activities (AOR, 2.97; 95% CI, 2.20-4.02), limited work (AOR, 2.72; 95% CI, 2.06-3.60), limited social activities (AOR, 3.10; 95% CI, 2.26-4.26), and severe joint pain (AOR, 1.86; 95% CI, 1.44-2.41). CONCLUSION: Incremental increases in the number of social risk factors were independently associated with higher odds of arthritis and its burden. Intervention efforts should address the social context of US adults to improve health outcomes.

Patients' use of physical therapy for lower back pain: A qualitative study.

OBJECTIVE: The purpose of this study was to identify factors that influence a patient's decision to use physical therapy (PT) services for a low back pain (LBP) complaint. METHODS: Semi-structured qualitative phone interviews were conducted with patients who were offered an early outpatient PT visit secondary to patients' primary appointment for LBP with a non-operative sports medicine specialist physician. Interviews were recorded, transcribed, and analyzed to identify themes using an iterative process. RESULTS: Forty participants were interviewed; 20 accepted early PT services, and 20 did not. Patients' decisions were influenced by perceived provider training, costs, doctor recommendations, wait times, symptoms, and a desire for a diagnosis. Patients preferred the care of non-operative sports medicine doctors over physical therapists for LBP due to their beliefs that favored doctors' diagnosis and management of LBP. Patients perceived exercise as an effective treatment for back pain. Physical therapists were viewed as an adjunct service, despite positive comments about PT and the belief that exercise is one of the most effective treatments for LBP. CONCLUSION: Barriers including costs, patient preferences, and knowledge about physical therapists limited patients' use of PT. Value-based care strategies aimed at improving the management of LBP increasingly promote the early use of PT. For these strategies to be effective, it is critical that patient perceptions and the influence of barriers on PT use are further understood. This study highlights the need to promote confidence in physical therapists' expertise in the management and diagnosis of lower back pain.

Effect of Patient Use of Physical Therapy After Referral for Musculoskeletal Conditions on Future Medical Utilization: A Retrospective Cohort Analysis.

OBJECTIVE: The purpose of this study was to evaluate whether physical therapy use influenced subsequent use of musculoskeletal-related surgeries, injections, magnetic resonance imaging (MRI), and other imaging. METHODS: We conducted a retrospective cohort study of patients aged 18 to 64 years who had an ambulatory care visit at the University of Utah system, after implementation of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems with adequate data collection in the system at the time of the data pull, between October 1, 2015, and September 30, 2018. We identified patients (n = 85 186) who received care for a musculoskeletal condition (lower back pain, cervical, knee, shoulder, hip, elbow, ankle, wrist/hand, thoracic, and arthritis diagnoses). Regression analyses were used to evaluate the association between physical therapy use and medical care use while controlling for relevant factors. RESULTS: In patients referred to physical therapy (n = 15 870), physical therapy use (n = 3812) was associated with increased MRI use (incidence rate ratio, 1.24; 95% confidence interval, 1.15-1.33; P < .001) and surgery use (incidence rate ratio, 1.11; 95% confidence interval, 1.00-1.23; P < .001). Several other factors were also associated with increased health care use, including being referred by an orthopedic provider, obesity, non-lower back pain diagnoses, and having 1 or more comorbidities. CONCLUSION: Outpatient physical therapy use for musculoskeletal conditions in adult patients younger than 65 years at the University of Utah system, a mountain west United States academic health care system, was associated with increased rates of MRI and surgery. This finding is contrary to prior research suggesting that physical therapy improves outcomes in some diagnosis groups. A referral from an orthopedic provider, non-lower back pain diagnoses, and obesity were also associated with increased medical care utilization.

Identifying patients who access musculoskeletal physical therapy: a retrospective cohort analysis.

BACKGROUND: Musculoskeletal conditions are common and cause high levels of disability and costs. Physical therapy is recommended for many musculoskeletal conditions. Past research suggests that referral rates appear to have increased over time, but the rate of accessing a physical therapist appears unchanged. OBJECTIVE: Our retrospective cohort study describes the rate of physical therapy use after referral for a variety of musculoskeletal diagnoses while comparing users and non-users of physical therapy services after referral. METHODS: The study sample included patients in the University of Utah Health system who received care from a medical provider for a musculoskeletal condition. We included a comprehensive set of variables available in the electronic data warehouse possibly associated with attending physical therapy. Our primary analysis compared differences in patient factors between physical therapy users and non-users using Poisson regression. RESULTS: 15 877 (16%) patients had a referral to physical therapy, and 3812 (24%) of these patients accessed physical therapy after referral. Most of the factors included in the model were associated with physical therapy use except for sex and number of comorbidities. The receiver operating characteristic curve was 0.63 suggesting poor predictability of the model but it is likely related to the heterogeneity of the sample. CONCLUSIONS: We found that obesity, ethnicity, public insurance and urgent care referrals were associated with poor adherence to physical therapy referral. However, the limited predictive power of our model suggests a need for a deeper examination into factors that influence patients access to a physical therapist.

Optimizing treatment protocols for spinal manipulative therapy: study protocol for a randomized trial.

BACKGROUND: Low back pain is a common and costly condition. Spinal manipulative therapy (SMT) is a treatment supported in some guidelines, although most clinical trials examining SMT report small effect sizes. Enhancing the effects of SMT requires an understanding of underlying mechanisms and a systematic approach to leverage understanding of mechanisms to create more effective treatment protocols that are scalable in clinical practice. Prior work has identified effects on spinal stiffness and lumbar multifidus activation as possible mechanisms. This project represents a refinement phase study within the context of a multi-phase optimization strategy (MOST) framework. Our goal is to identify an optimized SMT treatment protocol by examining the impact of using co-intervention exercise strategies that are proposed to accentuate SMT mechanisms. The optimized protocol can then be evaluated in confirmation phase clinical trials and implementation studies. METHODS: A phased, factorial randomized trial design will be used to evaluate the effects of three intervention components provided in eight combinations on mechanistic (spinal stiffness and multifidus muscle activation) and patient-reported outcomes (pain and disability). All participants will receive two sessions then will be randomly assigned to receive six additional sessions (or no additional treatment) over the next three weeks with factorial combinations of additional SMT and exercise co-interventions (spine mobilizing and multifidus activating). Outcome assessments occur at baseline, and one week, four weeks, and three months after enrollment. Pre-specified analyses will evaluate main effects for treatment components as well as interaction effects. DISCUSSION: Building on preliminary findings identifying possible mechanisms of effects for SMT, this trial represents the next phase in a multiphase strategy towards the ultimate goal of developing an optimized protocol for providing SMT to patients with LBP. If successful, the results of this trial can be tested in future clinical trials in an effort to produce larger treatment benefits and improve patient-centered outcomes for individuals with LBP. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02868034 . Registered on 16 August 2016.

Crystal structure of the antimicrobial peptidase lysostaphin from Staphylococcus simulans.

Staphylococcus simulans biovar staphylolyticus lysostaphin efficiently cleaves Staphylococcus aureus cell walls. The protein is in late clinical trials as a topical anti-staphylococcal agent, and can be used to prevent staphylococcal growth on artificial surfaces. Moreover, the gene has been both stably engineered into and virally delivered to mice or livestock to obtain resistance against staphylococci. Here, we report the first crystal structure of mature lysostaphin and two structures of its isolated catalytic domain at 3.5, 1.78 and 1.26 Å resolution, respectively. The structure of the mature active enzyme confirms its expected organization into catalytic and cell-wall-targeting domains. It also indicates that the domains are mobile with respect to each other because of the presence of a highly flexible peptide linker. The high-resolution structures of the catalytic domain provide details of Zn(2+) coordination and may serve as a starting point for the engineering of lysostaphin variants with improved biotechnological characteristics. STRUCTURED DIGITAL ABSTRACT: lysostaphin by x-ray crystallography (1, 2).