Randomized-controlled trial assessing a digital care program versus conventional physiotherapy for chronic low back pain

A Tai chi and qigong mind-body program for low back pain: A virtually delivered randomized control trial

Background

Mind-body treatments have the potential to manage pain, yet their effectiveness when delivered online for the treatment of low back pain (LBP) is unknown. We sought to evaluate whether a virtually delivered mind-body program integrating tai chi, qigong, and meditation (VDTQM) is effective for treating LBP.

Methods

This randomized controlled trial compared VDTQM (n=175) to waitlist control (n=175). Eligible participants were at least 18 years old, had LBP for at least 6 weeks, were not pregnant, had not previously taken tai chi classes, and had not undergone spine surgery within 6 months. The treatment group received a 12-week VDTQM program in live online 60-minute twice-weekly group classes from September 2022 to December 2022. All participants continued their usual activities and care. Primary outcome was pain-related disability assessed by the Oswestry Disability Index (ODI) score. Secondary outcomes included pain intensity, sleep quality, and quality of life (QOL). Intent-to-treat analyses were conducted.

Results

Of the 350 participants 278 (79%) were female, mean age was 58.8 years (range: 21-92), 244 (69.7%) completed the 8-week survey, 248 (70.9%) the 12-week, and 238 (68%) the 16 -week. No participants withdrew due to adverse treatment effects. Compared with control group, treatment group experienced statistically and clinically significant improvement in ODI score by -4.7 (95% CI: -6.24 to -3.16, p<.01), -6.42 (95% CI: -7.96 to -4.88, p<.01), and -8.14 (95% CI: -9.68 to -6.59, p<.01) points at weeks 8, 12, and 16, respectively. Treatment group also experienced statistically significant improvement at all time points in the other outcomes.

Conclusions

Among adults with LBP, VDTQM treatment resulted in small to moderate improvements in pain-related disability, pain intensity, sleep quality, and QOL. Improvements persisted 1 month after treatment concluded. These findings suggest VDTQM may be a viable treatment option for patients with LBP.Trial registration: clincaltrials.gov Identifier: NCT05801588.

Non-inferiority of hybrid outpatient telerehabilitation for patients with back pain: 3-month follow-up of a randomized controlled trial

BACKGROUND

International studies identified comparable or better effects for telerehabilitation compared with face-to-face rehabilitation or no rehabilitation in people with back pain. In German rehabilitation centers, a standardized back school for patients with back pain is provided usually face-to-face as part of a multimodal rehabilitation program.

AIM

To examine the non-inferiority of a three-week, digitally assisted, multimodal rehabilitation that applies a digital version of a standardized back school (intervention group [IG]) against the same rehabilitation program applying the back school face-to-face (control group [CG]).

DESIGN

Our study was a non-blinded multicenter randomized controlled trial. Recruitment was conducted from 2022 to 2023. We analyzed outcomes at the end of rehabilitation and 3 months later.

SETTING

Implementation of the study and enrollment of participants was conducted in 8 German outpatient rehabilitation centers.

POPULATION

Rehabilitants aged 18-65 years with back pain were included.

METHODS

284 patients with back pain were randomized into the IG or CG using computer-generated block randomization. We excluded 14 patients as they withdrew their consent and requested removal of their data. We finally included 270 patients (IG: N.=127, CG: N.=143). The primary outcome was self-reported pain self-efficacy (10-60 points). Secondary outcomes were, amongst others, current health status and pain.

RESULTS

Our primary adjusted intention-to-treat analysis demonstrated that hybrid digitally assisted rehabilitation was non-inferior to face-to-face rehabilitation at the end of rehabilitation (b=-0.55; 95% CI=-2.75 to ∞) and at the 3-month follow-up (b=0.24; 95% CI=-2.86 to ∞). These results were in line with a non-adjusted intention-to-treat analysis, an adjusted complete case analysis, and an adjusted per-protocol analysis. Secondary outcomes were tested for superiority. Our primary adjusted intention-to-treat analysis found no significant group differences in the secondary outcomes.

CONCLUSIONS

This study provides evidence that hybrid digitally assisted rehabilitation in patients with back pain is a sound alternative to face-to-face rehabilitation in an outpatient rehabilitation setting.

CLINICAL REHABILITATION IMPACT

Hybrid digitally assisted rehabilitation can improve flexibility and access to rehabilitation. Further studies should examine which components and which time frame of rehabilitation can be digitized without any loss of effectiveness.

Evaluating Effectiveness of Telerehabilitation Services Among Injured Workers Treated in a Canadian Workers' Compensation System: A Population-Based Study

PURPOSE

To evaluate the effectiveness of telerehabilitation for promoting return-to-work (RTW) among injured workers.

METHODS

We conducted a pragmatic, quasi-experimental study comparing telerehabilitation, in-person, or hybrid services. Descriptive statistics analyzed demographics, occupational factors, and patient-reported outcome measures (PROMs). Kruskal-Wallis tests investigated differences between mode of delivery and changes in PROM scores. Logistic and Cox-proportional hazard regression examined associations between mode of delivery and RTW status or days receiving wage replacement benefits in the first-year post-discharge, respectively, while controlling for potential confounders.

RESULTS

A slightly higher percentage of the 3,708 worker sample were male (52.8%). Mean (standard deviation (SD)) age across all delivery formats was 45.5 (12.5) years. Edmonton zone had the highest amount of telerehabilitation delivery (53.5%). The majority of workers had their program delivered in a hybrid format (54.1%) and returned to work (74.4%) at discharge. All PROMs showed improvement although differences across delivery formats were not clinically meaningful. Delivery via telerehabilitation had significantly lower odds of RTW at discharge (Odds Ratio: 0.82, 95% Confidence Interval: 0.70-0.97) and a significantly lower risk of experiencing suspension of wage replacement benefits in the first year following discharge (Hazard Ratio: 0.92, 95% Confidence Interval: 0.84-0.99). Associations were no longer significant when confounders were controlled for.

CONCLUSION

RTW outcomes were not statistically different across delivery formats, suggesting that telerehabilitation is a novel strategy that may improve equitable access and earlier engagement in occupational rehabilitation. Factors such as gender and geographic location should be considered when deciding on service delivery format.

Exercise-based telerehabilitation in chronic low back pain - a scoping review

BACKGROUND

Low back pain is a major global health problem. Physiotherapy involving exercises is considered first-line treatment. In recent years digital tools including telerehabilitation have increased, but the interventions are diverse. The aim of this study was to map how telerehabilitation approaches are used in studies evaluating exercise-based rehabilitation in patients with chronic low back pain.

METHODS

A systematic literature search was conducted in PubMed, Cinahl and Cochrane Central between January 2017 and January 2024 for original studies on adults, 18 years or older, with chronic low back pain who received exercise-based telerehabilitation.

RESULTS

The database search resulted in 1019 articles. Out of 37 full texts that were screened 28 articles were included in the analysis. The included studies showed a wide variation regarding technological solutions, interventions and outcome measures. The exercise-based telerehabilitation was usually delivered asynchronously via a smartphone application. The most common clinical outcome measure was pain and disability/physical function. Telerehabilitation compared to conventional exercise therapy showed similar clinical improvements.

CONCLUSIONS

This scoping review confirms the heterogeneity within this research area but also contributes by mapping and demonstrating some knowledge gaps in the literature. Further research focusing on synchronous and group interventions are needed. The new technologies described in the included studies provide added value through functional improvements and task redesign.

TRIAL REGISTRATION

OSF https//doi.org/10.17605/OSF.IO/EMKCG.

Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool

BACKGROUND

Low back pain (LBP) presents with diverse manifestations, necessitating personalized treatment approaches that recognize various phenotypes within the same diagnosis, which could be achieved through precision medicine. Although prediction strategies have been explored, including those employing artificial intelligence (AI), they still lack scalability and real-time capabilities. Digital care programs (DCPs) facilitate seamless data collection through the Internet of Things and cloud storage, creating an ideal environment for developing and implementing an AI predictive tool to assist clinicians in dynamically optimizing treatment.

OBJECTIVE

This study aims to develop an AI tool that continuously assists physical therapists in predicting an individual's potential for achieving clinically significant pain relief by the end of the program. A secondary aim was to identify predictors of pain nonresponse to guide treatment adjustments.

METHODS

Data collected actively (eg, demographic and clinical information) and passively in real-time (eg, range of motion, exercise performance, and socioeconomic data from public data sources) from 6125 patients enrolled in a remote digital musculoskeletal intervention program were stored in the cloud. Two machine learning techniques, recurrent neural networks (RNNs) and light gradient boosting machine (LightGBM), continuously analyzed session updates up to session 7 to predict the likelihood of achieving significant pain relief at the program end. Model performance was assessed using the area under the receiver operating characteristic curve (ROC-AUC), precision-recall curves, specificity, and sensitivity. Model explainability was assessed using SHapley Additive exPlanations values.

RESULTS

At each session, the model provided a prediction about the potential of being a pain responder, with performance improving over time (P<.001). By session 7, the RNN achieved an ROC-AUC of 0.70 (95% CI 0.65-0.71), and the LightGBM achieved an ROC-AUC of 0.71 (95% CI 0.67-0.72). Both models demonstrated high specificity in scenarios prioritizing high precision. The key predictive features were pain-associated domains, exercise performance, motivation, and compliance, informing continuous treatment adjustments to maximize response rates.

CONCLUSIONS

This study underscores the potential of an AI predictive tool within a DCP to enhance the management of LBP, supporting physical therapists in redirecting care pathways early and throughout the treatment course. This approach is particularly important for addressing the heterogeneous phenotypes observed in LBP.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04092946; https://clinicaltrials.gov/ct2/show/NCT04092946 and NCT05417685; https://clinicaltrials.gov/ct2/show/NCT05417685.

Comparing Pain Outcomes and Treatment Adherence Between In-Person and Virtual Interdisciplinary Pain Rehabilitation Programs at the San Francisco VA Health Care System

OBJECTIVE

This study compared clinical pain outcomes between patients in a pain treatment program that was conducted in-person, compared with a virtual program.

METHODS

In-person (N=127) and virtual (N=101) pain treatment programs were compared based on patient-reported, practitioner-collected, and medical record data. The patients were measured at baseline and post-treatment (week 12 for In-Person and week 8 for Virtual patients). We employed the last observation carried forward (LOCF) to handle missing data.

RESULTS

Both the In-Person and Virtual groups were similar in regard to all baseline outcomes, except the In-person group having significantly more co-morbidities at baseline, with particularly more cases of mental, behavioral, or neurodevelopmental diseases. Both groups demonstrated significant improvements in the pain-related measurements of pain interference and pain catastrophizing thoughts, but neither group displayed a change in average pain across treatment. Further, both groups improved significantly on emotional well-being scores, but not on physical functioning scores. No significant differences existed between groups on outcomes, except for pain catastrophizing, which was higher in the Virtual group at both time points. The Virtual group had lower rates of dropouts compared with In-Person, while the In-Person group had a larger proportion reach a clinically meaningful change in pain-related outcomes, defined as a >30% improvement.

DISCUSSION

While some changes were unique to the In-Person program, overall, patients in the Virtual program achieved similar treatment outcomes, suggesting that it can successfully treat Veterans seeking pain management, with less need for in-person facilities for both patients and clinicians.

Exploring the Importance of Race and Gender Concordance Between Patients and Physical Therapists in Digital Rehabilitation for Musculoskeletal Conditions: Observational, Longitudinal Study

BACKGROUND

Race/ethnicity and gender concordance between patients and providers is a potential strategy to improve health care interventions. In digital health, where human interactions occur both synchronously and asynchronously, the effect of concordance between patients and providers is unknown.

OBJECTIVE

This study aimed to evaluate the impact of race/ethnicity or gender concordance between patients and physical therapists (PTs) in engagement and the clinical outcomes following a digital care program (DCP) in patients with musculoskeletal (MSK) conditions.

METHODS

This secondary analysis of 2 prospective longitudinal studies (originally focused on assessing the acceptance, engagement, and clinical outcomes after a remote DCP) examined the impact of both race/ethnicity concordance and gender concordance between patients and PTs on outcomes for a digital intervention for MSK conditions. Outcomes included engagement (measured by the completion rate and communication, assessed by text interactions), satisfaction, and clinical outcomes (response rate, ie, percentage of patients achieving at least a minimal clinically important change in pain, measured by the Numerical Pain Rating Scale [NPRS]; anxiety, measured by the Generalized Anxiety Disorder 7-item scale [GAD-7]; depression, measured by the Patient Health Questionnaire 9-item [PHQ-9]; and daily activity impairment, measured by the Work Productivity and Activity Impairment [WPAI] questionnaire).

RESULTS

Of 71,201 patients, 63.9% (n=45,507) were matched with their PT in terms of race/ethnicity, while 61.2% (n=43,560) were matched for gender. Concordant dyads showed a higher completion rate among White (adjusted odds ratio [aOR] 1.11, 95% CI 1.05-1.19, P<.001) and Hispanic (aOR 1.27, 95% CI 1.08-1.54, P=.009) groups, as well as women (aOR 1.10, 95% CI 1.06-1.18, P<.001), when compared to discordant dyads. High and similar levels of interaction between patients and PTs were observed across race/ethnicity and gender dyads, except for Asian concordant dyads (adjusted β coefficient 5.32, 95% CI 3.28-7.36, P<.001). Concordance did not affect satisfaction, with high values (>8.52, 95% CI 8.27-8.77) reported across all dyads. Response rates for pain, anxiety, and daily activity impairment were unaffected by race/ethnicity concordance. An exception was observed for depression, with White patients reporting a higher response rate when matched with PTs from other races/ethnicities (aOR 1.20, 95% CI 1.02-1.39, P=.02). In terms of gender, men had a slightly higher pain response rate in discordant dyads (aOR 1.08, 95% CI 1.01-1.15, P=.03) and a higher depression response rate in concordant dyads (aOR 1.23, 95% CI 1.05-1.47, P=.01).

CONCLUSIONS

Race/ethnicity and gender concordance between patients and PTs does not translate into higher satisfaction or improvement for most clinical outcomes, aside from a positive effect on treatment completion. These results highlight the importance of other PT characteristics, in addition to race/ethnicity or gender concordance, suggesting the potential benefit of experience, languages spoken, and cultural safety training as ways to optimize care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04092946, NCT05417685; https://clinicaltrials.gov/study/NCT05417685, https://clinicaltrials.gov/study/NCT04092946.

Recovering Work Productivity in a Population With Chronic Musculoskeletal Pain: Unveiling the Value and Cost-Savings of a Digital Care Program

OBJECTIVE

To investigate potential savings obtained from restoring productivity in employees with chronic MSK pain through a digital care program (DCP).

METHODS

Secondary analysis of a prospective longitudinal study assessing cumulative savings overall or across several industry sectors by analyzing changes in Work Productivity and Activities Impairment (WPAI questionnaire).

RESULTS

Employees from 50 U.S. states started the program ( n = 5032). Significant improvements in productivity impairment were observed across all industries, yielding median cumulative savings from $151 (95% confidence interval [CI], 128-174) to $294 (95% CI, 286-303) per participant at treatment end. Twelve-month projections estimated median savings of $2916 (95% CI, 2861-2972). Additionally, significant improvements in non-work-related daily activities were observed.

CONCLUSIONS

This study underlines the burden of MSK-related productivity loss on employers' financial balance, illustrating the importance of a DCP to assist patients to recover quality of life and succeed professionally.

The ESCAPE Trial for Older People With Chronic Low Back Pain: A Feasibility Study of a Clinical Trial of Group-Based Exercise in Primary Health Care

Low back pain is a highly disabling health condition that generates high costs for patients and healthcare systems. For this reason, it is considered a serious public health problem worldwide. This pilot study aimed to assess the feasibility of a future randomized controlled trial (RCT) by evaluating adherence to treatment, contamination between groups, satisfaction with treatment, and understanding of the exercise instructions provided by the physiotherapist. Additionally, we sought to identify and implement necessary modifications to the exercise protocol for better suitability in older people. We conducted a prospective, registered pilot RCT comparing an 8-week group-based exercise program with a waiting list in older people (≥60 years old) with chronic low back pain. Sixty participants were recruited through social media, pamphlets, and invitations at community referral centers. The study demonstrated the feasibility of a full RCT. Participants reported high satisfaction with the treatment (i.e., 100% indicated willingness to return for future services) and a high understanding of the exercise instructions (i.e., 81.8% reported "very easy" comprehension). Adherence to the exercise program exceeded the average reported for group exercise interventions in older adults (i.e., 82.58%). Dropout was associated solely with preexisting physical activity levels. The exercise protocol was successfully adapted to better suit the needs of the older adult population. This pilot RCT demonstrates the feasibility of a full-scale RCT to evaluate the effectiveness of group exercise in improving pain intensity and disability in older adults with chronic low back pain. The implemented adjustments to the exercise protocol and overall study approach strengthen the methodological foundation and expected accuracy of the future RCT.

Transforming Veteran Rehabilitation Care: Learnings from a Remote Digital Approach for Musculoskeletal Pain

While musculoskeletal pain (MSP) stands as the most prevalent health condition among Veterans, timely and high-quality care is often hindered due to access barriers. Team Red, White & Blue (Team RWB), a nonprofit organization dedicated to promoting a healthier lifestyle among Veterans, aimed to assess innovative approaches to veteran care. This is a single-arm pilot study investigating the feasibility, clinical outcomes, engagement, and satisfaction of a remote multimodal digital care program among Veterans with MSP. The impact of deployment experience on outcomes was explored as a secondary aim. From 75 eligible Veterans, 61 started the program, reporting baseline pain frequently comorbid with mental distress. Program acceptance was suggested by the high completion rate (82%) and engagement levels, alongside high satisfaction (9.5/10, SD 1.0). Significant improvements were reported in all clinical outcomes: pain (1.98 points, 95%CI 0.13; 3.84, p = 0.036); mental distress, with those reporting at least moderate baseline depression ending the program with mild symptoms (8.50 points, 95%CI: 6.49; 10.51, p = 0.012); daily activity impairment (13.33 points, 95%CI 1.31; 25.34, p = 0.030). Deployed Veterans recovered similarly to their counterparts. Overall, the above results underscore the potential of a remote digital intervention to expand Veterans' access to timely MSP care.

Applying AI to Safely and Effectively Scale Care to Address Chronic MSK Conditions

Background/Objectives: The rising prevalence of musculoskeletal (MSK) conditions has not been balanced by a sufficient increase in healthcare providers. Scalability challenges are being addressed through the use of artificial intelligence (AI) in some healthcare sectors, with this showing potential to also improve MSK care. Digital care programs (DCP) generate automatically collected data, thus making them ideal candidates for AI implementation into workflows, with the potential to unlock care scalability. In this study, we aimed to assess the impact of scaling care through AI in patient outcomes, engagement, satisfaction, and adverse events. Methods: Post hoc analysis of a prospective, pre-post cohort study assessing the impact on outcomes after a 2.3-fold increase in PT-to-patient ratio, supported by the implementation of a machine learning-based tool to assist physical therapists (PTs) in patient care management. The intervention group (IG) consisted of a DCP supported by an AI tool, while the comparison group (CG) consisted of the DCP alone. The primary outcome concerned the pain response rate (reaching a minimal clinically important change of 30%). Other outcomes included mental health, program engagement, satisfaction, and the adverse event rate. Results: Similar improvements in pain response were observed, regardless of the group (response rate: 64% vs. 63%; p = 0.399). Equivalent recoveries were also reported in mental health outcomes, specifically in anxiety (p = 0.928) and depression (p = 0.187). Higher completion rates were observed in the IG (79.9% (N = 19,252) vs. CG 70.1% (N = 8489); p < 0.001). Patient engagement remained consistent in both groups, as well as high satisfaction (IG: 8.76/10, SD 1.75 vs. CG: 8.60/10, SD 1.76; p = 0.021). Intervention-related adverse events were rare and even across groups (IG: 0.58% and CG 0.69%; p = 0.231). Conclusions: The study underscores the potential of scaling MSK care that is supported by AI without compromising patient outcomes, despite the increase in PT-to-patient ratios.

Efficacy of an Omaha system-based remote ergonomic intervention program on self-reported work-related musculoskeletal disorders (WMSDs) - A randomized controlled study

Purpose

Heavy biomechanical loadings at workplaces may lead to high risks of work-related musculoskeletal disorders. This study aimed to explore the efficacy of an Omaha System-based remote ergonomic intervention program on self-reported work-related musculoskeletal disorders among frontline nurses.

Materials and methods

From July to October 2020, 94 nurses with self-reported pain in one of the three body parts, i.e., neck, shoulder, and low back, were selected and were randomly divided into two groups. The intervention group received a newly developed remote program, where the control group received general information and guidance on health and life. Program outcome was evaluated by a quick exposure check approach.

Results

After 6 weeks, the intervention group exhibited significantly less stress in the low back, neck, and shoulder/forearms, compared to the control group (p < 0.05). In addition, the occurrence of awkward postures, such as extreme trunk flexion or twisting, was also significantly reduced (p < 0.05).

Conclusions

The newly developed Omaha System-based remote intervention program may be a valid alternative to traditional programs for frontline nurses during the COVID-19 pandemic, reducing biomechanical loadings and awkward postures during daily nursing operations.