Development and Implementation of MyPainHub, a Web-Based Resource for People With Musculoskeletal Conditions and Their Health Care Professionals: Mixed Methods Study.

Background: Musculoskeletal conditions, including low back pain (LBP), neck pain, and knee osteoarthritis, are the greatest contributors to years lived with disability worldwide. Resources aiming to aid both patients and health care professionals (HCPs) exist but are poorly implemented and adopted.

Objective: We aimed to develop and implement MyPainHub, an evidence-based web-based resource designed to provide comprehensive, credible and accessible information for people with, and HCPs who manage, common musculoskeletal conditions.

Optimizing Global Genomic Surveillance for Early Detection of Emerging SARS-CoV-2 Variants.

Background: Global viral threats underscore the need for effective genomic surveillance, but high costs and uneven resource distribution hamper its implementation. Targeting surveillance to international travelers in major travel hubs may offer a more efficient strategy for the early detection of SARS-CoV-2 variants.

Methods: We developed and calibrated a multiple-strain metapopulation model of global SARS-CoV-2 transmission using extensive epidemiological, phylogenetic, and high-resolution air travel data.

Development of a decision aid for Australian carers of children with cerebral palsy and their community clinicians, about selective dorsal rhizotomy surgery.

Purpose: Develop and user-test a patient decision aid about selective dorsal rhizotomy (SDR) surgery for carers of children with cerebral palsy (CP) and clinicians treating children with CP.

Method: This study utilised a mixed-methods design. Stage One developed the prototype.

Developing a three-dimensional convolutional neural network for full volume auto-segmentation of shoulder Dixon MRI with comparison to Goutallier classification and two-dimensional muscle quality assessment.

Background: Preoperative intramuscular fat (IMF) is a strong predictor of tendon failure after a rotator cuff repair. Due to the contemporary labor intensive and time-dependent manual segmentation required for quantitative assessment of IMF, clinical implementation remains a challenge. The emergence of accurate three-dimensional evaluation of the rotator cuff may permit implementation with greater inter-rater reliability than common subjective scales (e.

Development of a patient decision aid for people with chronic low back pain and degenerative disc disease considering lumbar fusion: A mixed-methods study.

Objectives: To develop and user-test a patient decision aid providing evidence-based information for people with chronic low back pain (LBP) and degenerative disc disease considering lumbar fusion.

Design: Convergent parallel mixed methods study.

Setting: A prototype patient decision aid was developed, guided by the International Patient Decision Aid Standards (IPDAS) criteria, a multidisciplinary steering committee, and insights from previous studies.