Development and Feasibility Study of a Triage Tool for Early Referral to Spinal Cord Stimulation for Patients With Chronic Low Back and Leg Pain.

Abstract

Background: In recent years, delayed elective care and growing waiting lists increasingly resulted in postponed surgeries for patients with chronic back and leg pain.

Objective: To develop, implement, and evaluate the feasibility of a triage tool for patients with chronic back and/or leg pain to identify those eligible for referral to spinal cord stimulation (SCS) consultation.

Methods: A triage tool was developed, based on Dutch SCS guidelines, literature review and expert panel consultation. The triage process was detected and implemented in collaboration with a multidisciplinary team, prior to first orthopaedic consultation. Feasibility, reliability and predictive accuracy were analysed as part of the evaluation of the triage tool.

Results: The triage indicators included: Pain location (leg/mixed), DN4 > 3, pain duration ≥ 3 months, leg pain ≥ back pain and NPRS leg pain ≥ 5. The triage tool was applied on patients on the orthopaedic waiting list, followed by a full orthopaedic review if they were not excluded. A total of 1025 orthopaedic patients with chronic back and leg pain were assessed with the triage tool. The triage tool was evaluated as feasible (mean System Usability Score 74.2 [SD 11.5]), reliable (inter-rater reliability [Fleiss' Kappa 0.79], intra-rater reliability [Cohen's Kappa 0.89]) and accurate (sensitivity [100%], specificity [98.8%], positive predictive value [40%] and negative predictive value [100%]).

Conclusion: Early triage of potential SCS candidates potentially supports rapid and appropriate care allocation, shortens waiting list time and improves clinical outcomes. Future research should explore strategies to optimise the tool's performance in identifying patients most likely to benefit from SCS therapy.

Significance: A novel triage tool was developed to identify patients with chronic back and leg pain for an early referral to SCS. This tool, evaluated for feasibility, reliability, and predictive accuracy, shows promise in reducing waiting times and improving patient selection. It can be a prelude to the further development of decision support for SCS and an acceleration in the care process for SCS candidates.