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Recent research has shown that classifying patients with low back pain into treatment subgroups results in better improvements than treating all patients with low back pain the same. However, physical therapists may use different types of information to determine how to classify their patients. One method uses patient characteristics that have been shown by research to predict good results from a certain type of treatment. Another method uses specific impairments that the physical therapist identifies in a clinical exam to determine which treatment to provide. It is not currently known if one of these methods is better than the other. The purpose of this study is to determine if research-based classification or impairment-based treatment is more effective for treating patients with low back pain that has lasted less than 90 days in terms of improvements in pain and disability. The results of this study may help reduce the high financial cost associated with low back pain.
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PURPOSE: The purpose of this study is to describe a multimodal impairment-based clinical model for the treatment of low back pain utilizing the concept of Regional Interdependence (Wainner et al 2007) and to determine the relative effectiveness of this model versus classification-based therapy using the Treatment-Based Classification System for acute and subacute low back pain (Delitto et al 1995, Fritz et al 2006, Fritz et al 2007) in terms of improvements in pain and disability at 4 weeks and 6 months.
BACKGROUND: Recent studies have shown that subclassifying patients with low back pain into treatment groups results in better outcomes than treating all patients with low back pain as homogenous groups. (Fritz et al 2003) However, no studies have directly compared the efficacy of impairment-based versus classification-based physical therapy for patients with acute and subacute low back pain.
HYPOTHESIS: We suspect that both methods of treatment will be effective, but we are uncertain if one will be more effective than the other. Therefore, our null hypothesis will be that both methods will be equally effective.
METHODS:
DATA ANALYSIS:
Study data will be analyzed using SPSS Statistical Software (IBM, Armonk, NY).
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23 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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