A recent focus in low back pain research has been to identify patient subgroups that respond best to certain treatments. To integrate these subgroup findings into a useable form, a treatment-based classification algorithm for LBP was created.1,2 To allow the algorithm to be comprehensive – eg, provide a classification for all patients – additional criteria are provided to assist therapists’ decisions for patients who do not clearly meet a treatment subgroup (unclear classifications). Recent research found that approximately 34% of patients will receive unclear classifications using the algorithm.3 It has also been shown that the reliability of the classification decision for unclear classifications is poor – significant variability between ...
Background: Nonspecific low back pain (NSLBP) is a common problem. Attempts have been made to classi...
Background Low back pain (LBP) classification systems are used to deliver targeted treatments matche...
Classifying patients with low back pain into homogeneous and distinct categories by organizing simil...
Background. A treatment-based classification algorithm for low back pain (LBP) was created to help c...
Background. A treatment-based classification algorithm for low back pain (LBP) was created to help c...
Background. Several studies have investigated criteria for classifying patients with low back pain (...
© 2002 Dr. Jon Joseph FordLow back pain is a common and costly problem in the community. A variety o...
Background: Several studies have investigated criteria for classifying patients with low back pain (...
Poster Presentation Theme: How can we better translate evidence into clinical practice? Background: ...
Background: Identification of homogenous subgroups of patients with low back pain (LBP) and classifi...
Background Classification systems for low back pain (LBP) aim to guide treatment decisions. In physi...
Context: Low back pain (LBP) is a prevalent condition imposing a large socioeconomic burden. Despite...
Background The identification of clinically relevant subgroups of low back pain (LBP) is considered...
Non-specific chronic low back pain (NSCLBP) disorders have proven highly resistant to change in spit...
RATIONALE, AIMS AND OBJECTIVES: Classification of patients with back pain in order to inform treatme...
Background: Nonspecific low back pain (NSLBP) is a common problem. Attempts have been made to classi...
Background Low back pain (LBP) classification systems are used to deliver targeted treatments matche...
Classifying patients with low back pain into homogeneous and distinct categories by organizing simil...
Background. A treatment-based classification algorithm for low back pain (LBP) was created to help c...
Background. A treatment-based classification algorithm for low back pain (LBP) was created to help c...
Background. Several studies have investigated criteria for classifying patients with low back pain (...
© 2002 Dr. Jon Joseph FordLow back pain is a common and costly problem in the community. A variety o...
Background: Several studies have investigated criteria for classifying patients with low back pain (...
Poster Presentation Theme: How can we better translate evidence into clinical practice? Background: ...
Background: Identification of homogenous subgroups of patients with low back pain (LBP) and classifi...
Background Classification systems for low back pain (LBP) aim to guide treatment decisions. In physi...
Context: Low back pain (LBP) is a prevalent condition imposing a large socioeconomic burden. Despite...
Background The identification of clinically relevant subgroups of low back pain (LBP) is considered...
Non-specific chronic low back pain (NSCLBP) disorders have proven highly resistant to change in spit...
RATIONALE, AIMS AND OBJECTIVES: Classification of patients with back pain in order to inform treatme...
Background: Nonspecific low back pain (NSLBP) is a common problem. Attempts have been made to classi...
Background Low back pain (LBP) classification systems are used to deliver targeted treatments matche...
Classifying patients with low back pain into homogeneous and distinct categories by organizing simil...