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Using a Digital Tool to Predict Outcomes in Spine Surgery for Lumbar Spinal Stenosis and Cervical Radiculopathy
Led by Sahlgrenska University Hospital · Updated on 2025-05-13
900
Participants Needed
10
Research Sites
104 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are evaluating whether using a digital tool called the Dialogue Support tool can change patient-reported outcomes and satisfaction after surgery for lumbar spinal stenosis or cervical radiculopathy. The study aims to see if this tool affects patients reports of leg pain and satisfaction in lumbar spinal stenosis, arm pain and satisfaction in cervical radiculopathy, and quality of life in patients who do not have surgery after assessment compared to those who do. Participants will be assessed using the Dialogue Support tool alongside the usual surgeon evaluation to help decide the best treatment approach. Study groups include those who proceed with surgery after the tools use and those who do not. The tool provides predicted postoperative outcomes to help guide treatment decisions. During the study, researchers will follow participants and compare their outcomes to matched controls from the Swedish Spine Register. Assessments include general patient-reported outcomes one year after surgery, such as pain levels, disability indexes, quality of life questionnaires, and mortality. The study will last long enough to collect one-year postoperative data for these outcomes.
CONDITIONS
Brief Title
Strategic Use of Big Data in Spine Surgery - Testing Digital Prediction of Outcome in Clinical Praxis
Research Team
C
Catharina Parai, MD, PhD
E
Eric Brisby Enger, MD
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