Individual recovery expectations and prognosis of outcomes in non‐specific low back pain: prognostic factor review

Congratulations to DC PhD, Jill Hayden, for this publication in Cochrane!

"We found moderate‐quality evidence that positive recovery expectations are strongly associated with better work participation (narrative synthesis: 21 studies; meta‐analysis: 12 studies, 4777 participants: odds ratio (OR) 2.43, 95% confidence interval (CI) 1.64 to 3.62), and low‐quality evidence for clinically important recovery outcomes (narrative synthesis: 12 studies; meta‐analysis: 5 studies, 1820 participants: OR 1.89, 95% CI 1.49 to 2.41), both at follow‐up times closest to 12 months, using adjusted data. The association of recovery expectations with other outcomes of interest, including functional limitations (narrative synthesis: 10 studies; meta‐analysis: 3 studies, 1435 participants: OR 1.40, 95% CI 0.85 to 2.31) and pain intensity (narrative synthesis: 9 studies; meta‐analysis: 3 studies, 1555 participants: OR 1.15, 95% CI 1.08 to 1.23) outcomes at follow‐up times closest to 12 months using adjusted data, is less certain, achieving very low‐ and low‐quality evidence, respectively. No studies reported statistically significant or clinically important negative associations between recovery expectations and any low back pain outcome.

We found that individual recovery expectations are probably strongly associated with future work participation (moderate‐quality evidence) and may be associated with clinically important recovery outcomes (low‐quality evidence). The association of recovery expectations with other outcomes of interest is less certain. Our findings suggest that recovery expectations should be considered in future studies, to improve prognosis and management of low back pain.

#science #chiropractor #chiropractic #research #education #evidence based #patient centered #interprofessional #collaborative #rehabilitation #public health #spinal health #musculoskeletal health #ethics #pain #function #disability #QOL #knowledgetranslation

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