Does pain duration and other variables measured at baseline predict re-referral of low back pain patients managed on an evidence-based pathway? A cohort study

Mary-Anne Jess, Cormac Ryan, Shaun Wellburn, Gregory Atkinson, Charles Greenhough, Glynis Peat, Andrew Coxon, Helena Roper, Francis Fatoye, Diarmaid Ferguson, Alastair Dickson, Helen Ridley, Denis Martin

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Abstract

Objective: To explore the association between baseline pain duration and the likelihood of re-referral of patients with low back pain (LBP) managed on the evidence-based North East of England Regional Back Pain and Radicular Pain Pathway (NERBPP).
Study Design: Longitudinal, observational cohort study.
Methods: In all, 12,509 adults with LBP were identified as having been discharged from the pathway, between May 2015 and December 2019. To quantify any association between baseline pain duration and the likelihood of re-referral, two statistical modelling approaches, were used: logistic regression models for odds ratios and generalised linear models with a binomial link function in order to quantify risk differences.
Results: Twenty-five percent of patients with LBP, who were discharged, re-referred for management over a 4.5-year period. A large difference in pain duration of 2SD days was statistically associated with re-referral, with an odds ratio of 1.2 (95% CI: 1.03, 1.44) and a risk difference of 3.6% (95% CI: 0.6, 6.6). Nevertheless, the predictive value of an individual’s pain duration was found to be weak for re-referral. Higher baseline disability [odds ratio of 1.40 (95% CI: 1.07, 1.83)] and a younger age at baseline [odds ratio of 0.73 (95% CI 0.61, 0.86)] were also associated with an increased risk of re-referral.
Conclusions: Baseline pain duration, disability and younger age are statistically associated with re-referral onto the NERBPP. However, the value of these variables for predicting an individual’s risk of re-referral is weak.
Original languageEnglish
Number of pages24
JournalPhysiotherapy (United Kingdom)
Early online date29 Jul 2023
DOIs
Publication statusE-pub ahead of print - 29 Jul 2023

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