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.

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.