Article Text

Download PDFPDF

An algorithm comprising 7 baseline variables predicted the 2 year work disability status in non-specific back pain
Free

Statistics from Altmetric.com


 
 Q In patients with non-specific back pain associated with ⩾1 day’s absence from work, what variable or set of variables best predicts the 2 year work disability status?

Clinical impact ratings GP/FP/Primary care ★★★★★☆☆

METHODS

Embedded ImageDesign:

a cohort study (Recherche sur les Affections Musculo-Squelettiques [RAMS]- Prognosis Study) with a qualitative phase to identify additional predictors, and a quantitative phase for prediction analysis. More than 100 potential predictors were measured at baseline and at 6 and 12 weeks. Predictive models of 2 year outcome were developed with recursive partitioning on a 40% random sample of the cohort, and validated in the rest.

Embedded ImageSetting:

7 primary care settings in Quebec City, Quebec, Canada.

Embedded ImagePatients:

860 adult workers (mean age 39 y, 58% men) who consulted for non-specific back pain associated with ⩾1 day’s absence from work.

Embedded ImageDescription of prediction guide:

the final model had 7 questions pertaining to patients’ recovery expectations, radiating pain, previous back surgery, …

View Full Text

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.