Study Status: Not yet recruiting
Recruit Status: Not yet recruiting
Study Type: Interventional
Official Title: Second Opinion in Spinal Surgery Indications: Cost-Effectiveness Evaluation
Brief Summary: Low back pain is a common symptom, which often affects the adult population. Studies show that over the past two decades, costs related to spinal surgery have increased significantly, leading to speculation about what would be motivating this phenomenon. Although expenses with physical therapy treatments and less invasive surgical procedures remained relatively stable, the amount spent with more complex spine surgeries increased exponentially until they became the procedures with the highest costs in healthcare. The criteria for surgical indication are not uniform among surgeons and therefore a study of second opinion in spine surgeries is urgently needed. The present study aims to 1) quantify cost-effectiveness of second opinion for patients with spinal surgery indication 2) evaluate effectiveness of conservative and surgical treatment for degenerative diseases of the lumbar spine 3) define objective criteria for indication of conservative and surgical treatment using evidence-based medicine 4) evaluate prognosis of biological markers in the follow-up of patients with lumbar affections 5) evaluate interobserver agreement of physicians in relation to the diagnoses and treatment proposals in patients with diseases of the lumbar spine 6) verify effectiveness of patients who were operated on, compared to patients who were not operated. A prospective cohort study will be conducted, in which patients with an indication of surgical spinal treatment will be evaluated for a second opinion. First evaluation diagnoses and indications for patient treatment will be compared with the second opinion evaluation. All patients who choose to participate on the study will be followed up for a year for evaluations concerning cost-effectiveness, pain, quality of life, function and blood biomarkers. The outcomes will be compared using linear or generalized mixed models and descriptive analyzes of the study population program will be carried out; Statistical agreement will be observed bet