-
- Tasha R Stanton, Mark J Hancock, Adri T Apeldoorn, Benedict M Wand, and Julie M Fritz.
- Sansom Institute for Health Research, School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide, South Australia, Australia 5001. tasha.stanton@unisa.edu.au
- Phys Ther. 2013 Mar 1;93(3):345-55.
BackgroundA treatment-based classification algorithm for low back pain (LBP) was created to help clinicians select treatments to which people are most likely to respond. To allow the algorithm to classify all people with LBP, additional criteria can help therapists make decisions for people who do not clearly fit into a subgroup (ie, unclear classifications). Recent studies indicated that classifications are unclear for approximately 34% of people with LBP.ObjectiveTo guide improvements in the algorithm, it is imperative to determine whether people with unclear classifications are different from those with clear classifications.DesignThis study was a secondary analysis of data from 3 previous studies investigating the algorithm.MethodsBaseline data from 529 people who had LBP were used (3 discrete cohorts). The primary outcome was type of classification, that is, clear or unclear. Univariate logistic regression was used to determine which participant variables were related to having an unclear classification.ResultsPeople with unclear classifications had greater odds of being older (odds ratio [OR]=1.01, 95% confidence interval [CI]=1.003-1.033), having a longer duration of LBP (OR=1.001, 95% CI=1.000-1.001), having had a previous episode(s) of LBP (OR=1.61, 95% CI=1.04-2.49), having fewer fear-avoidance beliefs related to both work (OR=0.98, 95% CI=0.96-0.99) and physical activity (OR=0.98, 95% CI=0.96-0.996), and having less LBP-related disability (OR=0.98, 95% CI=0.96-0.99) than people with clear classifications.LimitationsStudies from which participant data were drawn had different inclusion criteria and clinical settings.ConclusionsPeople with unclear classifications appeared to be less affected by LBP (less disability and fewer fear avoidance beliefs), despite typically having a longer duration of LBP. Future studies should investigate whether modifying the algorithm to exclude such people or provide them with different interventions improves outcomes.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.