Importance of Early Improvement in the Treatment of Low Back Pain With Physical Therapy

Understanding social determinants of health and physical therapy outcomes in patients with low back pain: A scoping review

BACKGROUND

Low back pain (LBP) is the number one cause of disability worldwide; however, it is not clear how social determinants of health (SDOH) impact care management and outcomes related to physical therapy (PT) services for patients with LBP.

OBJECTIVE

The purposes of this scoping review are to examine and assimilate the literature on how SDOH and PT care relate to non-specific LBP outcomes and identify gaps in the literature to target for future research.

METHODS

Data were extracted from eight electronic databases from January 2011 to February 2022. Reviewers independently screened all studies using the PRISMA extension for scoping review guidelines. Data related to study design, type of PT, type of non-specific LBP, patient demographics, PT intervention, SDOH, and PT outcomes were extracted from the articles.

RESULTS

A total of 30,523 studies were screened, with 1961 articles undergoing full text review. Ultimately, 76 articles were identified for inclusion. Sex and age were the most frequent SDOH examined (88% and 78% respectively) followed by education level (18%). Approximately half of the studies that examined age, sex, and education level identified no effect on outcomes. The number of studies examining other factors was small and the types of outcomes evaluated were variable, which limited the ability to pool results.

CONCLUSIONS

Sex and age were the most frequent SDOH examined followed by education level. Other factors were evaluated less frequently, making it difficult to draw conclusions. Study design and heterogeneity of determinants and outcomes were barriers to examining the potential impact on patients with LBP.

Significant Clinical Improvement Was Predicted in a Cohort of Patients With Low Back Pain Early in the Care Process

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.

Do Short-Term Effects Predict Long-Term Improvements in Women Who Receive Manual Therapy or Surgery for Carpal Tunnel Syndrome? A Bayesian Network Analysis of a Randomized Clinical Trial

OBJECTIVE

The purpose of this study was to develop a data-driven Bayesian network approach to understand the potential multivariate pathways of the effect of manual physical therapy in women with carpal tunnel syndrome (CTS).

METHODS

Data from a randomized clinical trial (n = 104) were analyzed comparing manual therapy including desensitization maneuvers of the central nervous system versus surgery in women with CTS. All variables included in the original trial were included in a Bayesian network to explore its multivariate relationship. The model was used to quantify the direct and indirect pathways of the effect of physical therapy and surgery on short-term, mid-term, and long-term changes in the clinical variables of pain, related function, and symptom severity.

RESULTS

Manual physical therapy improved function in women with CTS (between-groups difference: 0.09; 95% CI = 0.07 to 0.11). The Bayesian network showed that early improvements (at 1 month) in function and symptom severity led to long-term (at 12 months) changes in related disability both directly and via complex pathways involving baseline pain intensity and depression levels. Additionally, women with moderate CTS had 0.14-point (95% CI = 0.11 to 0.17 point) poorer function at 12 months than those with mild CTS and 0.12-point (95% CI = 0.09 to 0.15 point) poorer function at 12 months than those with severe CTS.

CONCLUSION

Current findings suggest that short-term benefits in function and symptom severity observed after manual therapy/surgery were associated with long-term improvements in function, but mechanisms driving these effects interact with depression levels and severity as assessed using electromyography. Nevertheless, it should be noted that between-group differences depending on severity determined using electromyography were small, and the clinical relevance is elusive. Further data-driven analyses involving a broad range of biopsychosocial variables are recommended to fully understand the pathways underpinning CTS treatment effects.

IMPACT

Short-term effects of physical manual therapy seem to be clinically relevant for obtaining long-term effects in women with CTS.

Predicting Clinical Improvement for Patients With Low Back Pain: Keeping It Simple for Patients Seeking Physical Therapy Care

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.

Systematic review on the incidence of low back pain as well as on the rehabilitation treatment methods used

Introduction. Low back pain is a growing condition both in terms of sampling and incidence, reaching to affect any of us at some point. Material and method. In order to write the article, four international libraries were used, where search criteria were used such as: "low back pain", "low back pain incidence" and "low back pain treatment". The articles used in this paper were carefully selected according to their relevance for this study, but only considered articles published in 2020. Results and discussions. The obtained results indicated that both physical therapy and physiotherapy have beneficial effects in ameliorating the symptoms generated by low back pain, but due to the lack of an optimal protocol patients turn to alternative therapies that have shown greater efficacy than physical therapy in amelioration. symptoms generated by low back pain. Conclusions. The lack of an optimal physiotherapeutic treatment protocol causes patients to turn to alternative therapies that are more effective, as well as a lower cost per treatment.