Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect
patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We …

Background Research evidence suggests that a stratified care management approach is
better at improving clinical and economic outcomes for low back pain (LBP) patients …

Background The STarT-MSK-Tool is an adaptation of the well established STarT-Back-Tool,
used to risk-stratify patients with a wider range of musculoskeletal presentations. Objective …

Background To facilitate access to evidence-based care for back pain, a German private
medical insurance offered a health program proactively to their members. Feasibility and …

OBJECTIVE: To provide an updated overview of available prognostic models for people with
chronic low back pain (LBP) in primary care. DESIGN: Prognosis systematic review …

Background Multiple factors influence the recovery process of low back pain (LBP). The
identification and increased knowledge of prognostic factors might contribute to a better …

Objective Primary care screening tools for patients with low back pain may improve outcome
by identifying modifiable obstacles for recovery. The STarT Back Screening Tool (SBST) …

Background: The Subgroups for Targeted Treatment for Back (STarT Back) tool is a
screening questionnaire developed to identify modifiable risk factors for back pain disability …

Abstract Purpose: STarT Back Screening Tool and OSPRO-YF scales have been reported to
be accurate tools for estimating risk for the development of persistent pain or prolonged …

Introduction: Multiple factors influence the recovery process of low back pain (LBP). The
identification and increased knowledge of prognostic factors might contribute to a better …