| dc.contributor.author | Breen, Alan | |
| dc.date.accessioned | 2019-03-18T13:57:42Z | |
| dc.date.available | 2019-03-18T13:57:42Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Breen, A., 2018. Low back pain: Identifying sub-groups, clinical prediction rules and measuring results. Complementary Therapies In Clinical Practice, 31, 335-337 https://doi.org/10.1016/j.ctcp.2017.07.005 | en |
| dc.identifier.issn | 1744-3881 | |
| dc.identifier.uri | https://aecc.archive.knowledgearc.net/handle/123456789/76 | |
| dc.description | Available under License - Creative Commons Attribution: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.description.abstract | Low back pain is a complex, multifactorial health problem with huge socioeconomic impact. The purpose of this brief
review was to reconsider the use of the biopsychosocial model as a basis for subgrouping cases to support the
stratification of care. Unfortunately, this model is unbalanced due to a lack of evidence around biological components,
and so far offers risk based assessments centered mainly on a number of psychological and social factors as the
principal means of stratification. Such prognostic models have modest predictive value and are highly susceptible to
contamination by undisclosed influences as well as contextual bias. However, there is emerging evidence around
mechanical, chemical and central sensitization factors as biological components that may be included both in
diagnostic assessment and for their relationships to prognosis and treatment outcome. This offers the potential to
‘rebalance’ the biopsychosocial model of back pain without abandoning previously discovered outcome predictors. | en |
| dc.language.iso | en | en |
| dc.publisher | Complementary Therapies in Clinical Practice | en |
| dc.title | Low back pain: Identifying sub-groups, clinical prediction rules and measuring results | en |
| dc.type | Article | en |
| dc.identifier.doi | https://doi.org/10.1016/j.ctcp.2017.07.005 | |
