The usefulness of the STarT back screening tool and single-item general health measures when predicting future disability in patients with low back pain treated in Danish primary care physiotherapy

Abstract

Introduction: The extent to which disease specific screening tools or other health measures add to the predictive value of common clinical factors (pain, disability and socio-demographics) has been sparsely investigated. The aim of this study was to investigate whether a disease specific screening tool and a single-item general health measure adds predictive value to basic information collected in primary physiotherapy care when predicting future disability in patients with low back pain.

Material and methods: This longitudinal cohort study included 354 patients with low back pain from Danish primary care physiotherapy. Information was collected on socio-demographics, common clinical factors, The STarT Back Screening Tool (SBT) and general health perceptions measured as a single item from the SF-36 (GH-1). Disability at 6-month follow-up, measured by the Roland-Morris Disability Questionnaire, was predicted using multiple linear regression models.

Results: Clinical factors and baseline disability level explained 28.3% of the variance in 6-month disability scores. With SBT and GH-1 added separately to the baseline model, the explained variance increased by 2.1% (p = 0.01) and 3.6% (p < 0.001), respectively.

Conclusion: The added value of the disease specific screening tools or the single-item general measure when predicting disability in patients with low back pain was generally small. Moreover, the predictive value of the single-item general measure seems comparable to and slightly better than the disease specific screening tool. Overall these findings may question the clinical utility of such measures.

Keywords: General health perceptions; Low back pain; Physiotherapy; Prognosis.