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Fabíola Costa,1 Dora Janela,1 Maria Molinos,1 Robert G Moulder,2 Jorge Lains,3,4 Virgílio Bento,1 Justin Scheer,5 Vijay Yanamadala,1,6,7 Fernando Dias Correia,1,8 Steven P Cohen9,10 1SWORD Health, Inc, Clinical Research, Draper, UT, USA; 2Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, USA; 3Rovisco Pais Medical and Rehabilitation Centre, Tocha, Portugal; 4Faculty of Medicine, Coimbra University, Coimbra, Portugal; 5Department of Neurological Surgery, University of California, San Francisco, CA, USA; 6Department of Surgery, Quinnipiac University Frank H. Netter School of Medicine, Hamden, CT, USA; 7Department of Neurosurgery, Hartford Healthcare Medical Group, Westport, CT, USA; 8Neurology Department, Centro Hospitalar e Universitário do Porto, Porto, Portugal; 9Departments of Anesthesiology & Critical Care Medicine, Physical Medicine and Rehabilitation, Neurology, and Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA; 10Departments of Anesthesiology and Physical Medicine and Rehabilitation and Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, MD, USACorrespondence: Fernando Dias Correia, 65 E Wadsworth Park Dr Ste 230, Draper, UT, 84020, USA, Tel +1 385-308-8034, Fax +1 801-206-3433, Email fcorreia@swordhealth.comBackground: Low back pain (LBP) has a lifetime prevalence of 70– 80%. Access to timely and personalized, evidence-based care is key to prevent chronic progression. Digital solutions may ease accessibility to treatment while reducing healthcare-related costs.Purpose: We aim to report the results of a fully remote digital care program (DCP) for acute LBP.Patients and Methods: This was an interventional, single-arm, cohort study of patients with acute LBP who received a DCP. Primary outcome was the mean change in disability (Oswestry Disability Index – ODI) after 12 weeks. Secondary outcomes included change in pain (NPRS), analgesic consumption, surgery likelihood, depression (PHQ-9), anxiety (GAD-7), fear-avoidance beliefs (FABQ-PA), work productivity (WPAI) and engagement.Results: A total of 406 patients were enrolled in the program and of those, 332 (81.8%) completed the intervention. A significant disability reduction of 55.1% (14.93, 95% CI 13.95; 15.91) was observed, corresponding to a 76.1% responder rate (30% cut-off). Disability reduction was accompanied by significant improvements in pain (61.0%), depression (55.4%), anxiety (59.5%), productivity (65.6%), fear-avoidance beliefs (46.3%), intent to pursue surgery (59.1%), and analgesic consumption (from 35.7% at baseline to 10.8% at program end). DCP-related patient satisfaction score was 8.7/10.0 (SD 1.4).Conclusion: This study demonstrated the utility of a multimodal DCP for patients with acute LBP. Very high adherence rates and patient satisfaction were observed, alongside significant reductions in all assessed outcomes, consistent with the growing body of evidence supporting the management of acute LBP with DCPs.Keywords: physical therapy, telerehabilitation, digital therapy, eHealth, musculoskeletal conditions

Analytical methods derived from nonlinear dynamical systems, complexity, and chaos theories offer researchers a framework for in-depth analysis of time series data. However, relatively few studies involving time series data obtained from psychological and behavioral research employ such methods. This paucity of application is due to a lack of general analysis frameworks for modeling time series data with strong nonlinear components. In this article, we describe the potential of Hankel alternative view of Koopman (HAVOK) analysis for solving this issue. HAVOK analysis is a unified framework for nonlinear dynamical systems analysis of time series data. By utilizing HAVOK analysis, researchers may model nonlinear time series data in a linear framework while simultaneously reconstructing attractor manifolds and obtaining a secondary time series representing the amount of nonlinear forcing occurring in a system at any given time. We begin by showing the mathematical underpinnings of HAVOK analysis and then show example applications of HAVOK analysis for modeling time series data derived from real psychological and behavioral studies.

Background Chronic shoulder pain (SP) is responsible for significant morbidity, decreased quality of life and impaired work ability, resulting in high socioeconomic burden. Successful SP management is dependent on adherence and compliance with effective evidence-based interventions. Digital solutions may improve accessibility to such treatments, increasing convenience, while reducing healthcare-related costs. Purpose Present the results of a fully remote digital care program (DCP) for chronic SP. Patients and Methods Interventional, single-arm, cohort study of individuals with chronic SP applying for a digital care program. Primary outcome was the mean change between baseline and 12 weeks on the Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) questionnaire. Secondary outcomes were change in pain (NPRS), analgesic consumption, intention to undergo surgery, anxiety (GAD-7), depression (PHQ-9), fear-avoidance beliefs (FABQ-PA), work productivity (WPAI) and engagement. Results From 296 patients at program start, 234 (79.1%) completed the intervention. Changes in QuickDASH between baseline and end-of-program were both statistically (p < 0.001) and clinically significant, with a mean reduction of 51.6% (mean −13.45 points, 95% CI: 11.99; 14.92). Marked reductions were also observed in all secondary outcomes: 54.8% in NPRS, 44.1% ceased analgesics consumption, 55.5% in surgery intent, 37.7% in FABQ-PA, 50.3% in anxiety, 63.6% in depression and 66.5% in WPAI overall. Higher engagement was associated with higher improvements in disability. Mean patient satisfaction score was 8.7/10.0 (SD 1.6). Conclusion This is the first real-world cohort study reporting the results of a multimodal remote digital approach for chronic SP rehabilitation. High completion and engagement rates were observed, which were associated with clinically significant improvement in all health-related outcomes, as well as marked productivity recovery. These promising results support the potential of digital modalities to address the global burden of chronic musculoskeletal pain., Graphical Abstract

Justin K Scheer,1 Fabíola Costa,2 Dora Janela,2 Maria Molinos,2 Anabela C Areias,2 Robert G Moulder,3 Jorge Lains,4,5 Virgílio Bento,2 Vijay Yanamadala,2,6,7 Fernando Dias Correia2,8 1Department of Neurological Surgery, University of California, San Francisco, CA, USA; 2Sword Health, Inc, Draper, UT, USA; 3Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, USA; 4Rovisco Pais Medical and Rehabilitation Centre, Tocha, Portugal; 5Faculty of Medicine, Coimbra University, Coimbra, Portugal; 6Department of Surgery, Quinnipiac University Frank H. Netter School of Medicine, Hamden, CT, USA; 7Department of Neurosurgery, Hartford Healthcare Medical Group, Westport, CT, USA; 8Neurology Department, Centro Hospitalar e Universitário do Porto, Porto, PortugalCorrespondence: Fernando Dias Correia, Sword Health Inc, 13937 Sprague Lane Ste 100, Draper, UT, 84020, USA, Tel +1 385-308-8034, Fax +1 801-206-3433, Email fcorreia@swordhealth.comBackground: Musculoskeletal (MSK) pain is highly prevalent worldwide, resulting in significant disability, and comorbid sleep disturbances. Digital therapy for MSK pain can provide significant improvements in care access, alongside pain and disability reductions. However, studies on the effect of such programs on sleep are lacking.Purpose: To evaluate the impact on pain-related sleep impairment after a 12-week remote multimodal digital care program (DCP) for MSK conditions.Patients and Methods: This is an ad-hoc analysis of a decentralized single-arm study into engagement and clinical outcomes after a DCP for MSK rehabilitation. Patients were stratified by baseline sleep disturbance, based on sleep questions in the questionnaires: Oswestry Disability Index, Neck Disability Index, and the Quick Disabilities of the Arm, Shoulder and Hand questionnaire. Additional outcomes were pain, Generalized Anxiety Disorder 7-item scale, Patient Health 9-item questionnaire, Work Productivity, and Activity Impairment, and program engagement.&#x00A0Results: At baseline, 5749 patients reported sleep disturbance (78.0% of eligible patients). These reported significantly worse clinical outcomes at baseline than patients without sleep disturbance (all p< 0.001). Patients with comorbid sleep disturbance showed improvements in sleep, with a significant proportion reporting full recovery at program completion: 56% of patients with upper limb conditions (including 10% of patients with severe sleep disturbance at baseline), and 24% with spine conditions. These patients also reported significant improvements in all clinical outcomes at program completion. Engagement and satisfaction were high, and also higher than in patients without sleep impairment.Conclusion: This is the first study of its kind investigating the effect of a completely remote DCP for MSK pain on sleep. Patients reporting comorbid sleep disturbance had significant improvement in sleep, alongside pain, mental health and work productivity at program completion. The results suggest that a DCP for MSK pain can improve sleep disturbances in patients with upper limb and spine conditions.Keywords: pain, physical therapy, eHealth, telerehabilitation, remote care

Low back pain (LBP) is the leading cause of disability in the United States and the main reason for absenteeism. Successful management of chronic LBP (CLBP) is dependent on multimodal evidence-based interventions. Digital interventions (DI) may ease accessibility to such treatments, increasing adherence, while reducing healthcare-related costs.Assess the impact of a completely remote multimodal DI on productivity impairment in a real-work context cohort of patients with CLBP.Longitudinal study.Ad-hoc analysis of an interventional, single-arm study of individuals with CLBP undergoing a DI for 12 weeks. Outcomes included the mean change in work productivity and activity impairment (including overall and non-work related activities), pain, depression, anxiety, fear-avoidance beliefs, analgesic usage, and engagement. Minimal clinically important change (MCIC) was calculated for productivity using anchor- and distribution-based methods.From 560 patients at program start, 78.4% completed the DI. A significant improvement in overall productivity (20.21, 95%CI: 16.48-23.94) and in non-work related activities (21.36, 95%CI: 17.49-25.22) was observed, corresponding to a responder rate of 57.1-83.3% and 60.5-79.8%, respectively, and depending on the MCIC method. Significant improvements were reported for pain (2.32 points, 95%CI: 2.02-2.61), anxiety (5.24, 95%CI: 4.18-6.29), depression (6.38, 95%CI: 4.78-7.98) and fear-avoidance beliefs (8.11, 95%CI: 6.20-10.02). Both engagement (sessions per week) and patient satisfaction scores were high, 2.9 (SD 1.0) and 8.8/10 (SD 1.6), respectively.This study demonstrated the utility of a multimodal DI to address productivity impairment. DIs have great potential to ease the burden of CLBP, providing an accessible and cost-effective modality of care.The study was approved by the New England IRB (protocol number 120190313) and prospectively registered in ClinicalTrials.gov, NCT04092946, on September 17th, 2019.

Background Fear-avoidance beliefs (FAB) have been associated with poorer prognosis and decreased adherence to exercise-based treatments in musculoskeletal (MSK) pain. However, the impact of high FAB on adherence and outcomes in upper extremity MSK (UEMSK) pain is poorly explored, particularly through exercise-based digital care programs (DCP). Objective Assess the adherence levels, clinical outcomes and satisfaction in patients with UEMSK pain and elevated FAB after a fully remote multimodal DCP. Associations between FABQ-PA and clinical outcomes were conducted. Methods Secondary analysis of an ongoing clinical trial. Participants with UEMSK pain (shoulder, elbow, and wrist/hand) and elevated FAB-physical activity (FABQ-PA ≥ 15) were included. Adherence (completion rate, sessions/week, total exercise time) and mean change in clinical outcomes—disability (QuickDASH), numerical pain score, FABQ-PA, anxiety (GAD-7), and depression (PHQ-9)—between baseline and end-of-program were assessed. Associations between FABQ-PA and clinical outcomes were conducted. Results 520 participants were included, with mean baseline FABQ-PA of 18.02 (SD 2.77). Patients performed on average 29.3 exercise sessions (2.8 sessions/week), totalizing 338.2 exercise minutes. Mean satisfaction was 8.5/10 (SD 1.7). Significant improvements were observed in all clinical outcomes. Higher baseline FAB were associated with higher baseline disability (P Conclusions This study provides evidence of the potential benefits of a structured and multimodal home-based DCP in the management of UEMSK pain conditions in patients with elevated FAB in a real-world context.

Background Musculoskeletal (MSK) pain disproportionately affects people from different ethnic backgrounds through higher burden and less access to care. Digital care programs (DCPs) can improve access and help reduce inequities. However, the outcomes of such programs based on race and ethnicity have yet to be studied. Objective We aimed to assess the impact of race and ethnicity on engagement and outcomes in a multimodal DCP for MSK pain. Methods This was an ad hoc analysis of an ongoing decentralized single-arm investigation into engagement and clinical-related outcomes after a multimodal DCP in patients with MSK conditions. Patients were stratified by self-reported racial and ethnic group, and their engagement and outcome changes between baseline and 12 weeks were compared using latent growth curve analysis. Outcomes included program engagement (number of sessions), self-reported pain scores, likelihood of surgery, Generalized Anxiety Disorder 7-item scale, Patient Health Questionnaire 9-item, and Work Productivity and Activity Impairment. A minimum clinically important difference (MCID) of 30% was calculated for pain, and multivariable logistic regression was performed to evaluate race as an independent predictor of meeting the MCID. Results A total of 6949 patients completed the program: 65.5% (4554/6949) of them were non-Hispanic White, 10.8% (749/6949) were Black, 9.7% (673/6949) were Asian, 9.2% (636/6949) were Hispanic, and 4.8% (337/6949) were of other racial or ethnic backgrounds. The population studied was diverse and followed the proportions of the US population. All groups reported high engagement and satisfaction, with Hispanic and Black patients ranking first among satisfaction despite lower engagement. Black patients had a higher likelihood to drop out (odds ratio [OR] 1.19, 95% CI 1.01-1.40, P=.04) than non-Hispanic White patients. Hispanic and Black patients reported the highest level of pain, surgical intent, work productivity, and impairment in activities of daily living at baseline. All race groups showed a significant improvement in all outcomes, with Black and Hispanic patients reporting the greatest improvements in clinical outcomes. Hispanic patients also had the highest response rate for pain (75.8%) and a higher OR of meeting the pain MCID (OR 1.74, 95% CI 1.24-2.45, P=.001), when compared with non-Hispanic White patients, independent of age, BMI, sex, therapy type, education level, and employment status. No differences in mental health outcomes were found between race and ethnic groups. Conclusions This study advocates for the utility of a DCP in improving access to MSK care and promoting health equity. Engagement and satisfaction rates were high in all the groups. Black and Hispanic patients had higher MSK burden at baseline and lower engagement but also reported higher improvements, with Hispanic patients presenting a higher likelihood of pain improvement.

Elbow musculoskeletal pain (EP) is a major cause of disability. Telerehabilitation has shown great potential in mitigating musculoskeletal pain conditions, but EP is less explored. This single-arm interventional study investigates clinical outcomes and engagement levels of a completely remote multimodal digital care program (DCP) in patients with EP. The DCP consisted of exercise, education, and cognitive-behavioral therapy for 8 weeks. Primary outcome: disability change (through the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), treatment response cut-offs: 12.0-point reduction and 30% change). Secondary outcomes: pain, analgesic intake, surgery intent, mental health, fear–avoidance beliefs, work productivity, and patient engagement. Of the 132 individuals that started the DCP, 112 (84.8%) completed the intervention. Significant improvements were observed in QuickDASH with an average reduction of 48.7% (11.9, 95% CI 9.8; 14.0), with 75.3% of participants reporting ≥30% change and 47.7% reporting ≥12.0 points. Disability change was accompanied by reductions in pain (53.1%), surgery intent (57.5%), anxiety (59.8%), depression (68.9%), fear–avoidance beliefs (34.2%), and productivity impairment (72.3%). Engagement (3.5 (SD 1.4) sessions per week) and satisfaction 8.5/10 (SD 1.6) were high. The significant improvement observed in clinical outcomes, alongside high engagement, and satisfaction suggests patient acceptance of this care delivery mode.

Although the vast majority of people with mental illness (PWMI) are not violent, Americans tend to think they are more dangerous than the general population. Because negative media portrayals may contribute to stigma, we used time-series analyses to examine changes in the public’s perceived dangerousness of PWMI around six mass shootings whose perpetrators were reported to have a mental illness. From 2011 to 2019, 38,094 U.S. participants completed an online study assessing implicit and explicit perceived dangerousness of PWMI. There were large, upward spikes in perceived dangerousness the week of the Sandy Hook mass shooting that were relatively short-lived. However, there was not a consistent pattern of effects for other events analyzed, and any other spikes observed were smaller. Effects tended to be larger for explicit versus implicit perceived dangerousness. Sandy Hook seemed to temporarily worsen perceived dangerousness of PWMI, but this pattern was not observed for other mass shootings.