Contemporary media campaigns for musculoskeletal pain: A systematic review and meta-analysis with social marketing benchmarking.

Musculoskeletal pain is a global public health problem. Social marketing aims to increase adoption of desired behaviours in target audiences and may uncover new strategies to improve uptake of helpful pain-related behaviours at the population-level. We systematically evaluated effects of contemporary mass media campaigns targeting musculoskeletal pain and used social marketing benchmarking to explore strategies associated with campaign success.

Developing a triage predictive model for access to a spinal surgeon using clinical variables and natural language processing of radiology reports.

Purpose: To utilize natural language processing (NLP) of MRI reports and various clinical variables to develop a preliminary model predictive of the need for surgery in patients with low back and neck pain. Such a model would be beneficial for informing clinical practice decisions and help reduce the number of unnecessary surgical referrals, streamlining the surgical process.

Methods: A historical cohort study was conducted using de-identified data from patients referred to a spine assessment clinic.

Risk Factors for Developing Concurrent Posttraumatic Stress Injury After Work-Related Musculoskeletal Injury: A Case-Control Study.

Objective: This study aimed to study risk factors for developing concurrent posttraumatic stress injury (PTSI) among workers experiencing work-related musculoskeletal injury (MSI).

Methods: A case-control study was conducted using workers' compensation data on injured workers undergoing rehabilitation programs for concurrent MSI and PTSI (cases) and MSI only (controls). A variety of measures known at the time of the compensable injury were entered into logistic regression models.