Senior Research Scientist and Group Leader, NeuRA
Associate Professor, Faculty of Medicine, UNSW
Honorary Research Fellow, The George Institute for Global Health
+612 9399 1266
Associate Professor James McAuley is a psychologist, A/Prof in the School of Medical Sciences & Senior Research Scientist at NeuRA.
James completed his PhD at Brunel University, London (2002) investigating psychological influences on chronic low back pain. After immigrating to Australia in 2004 he took up a post doc at the University of Sydney and then at the George Institute for Global Health. In 2010 he moved to NeuRA where he set up the Pain Research Education and Management (PREM) program. In 2017 James was appointed as A/Prof to the Exercise Physiology department at UNSW.
James has published 135 articles in general medical journals such as the Lancet, the BMJ, Annals of Internal Medicine and PLoS Medicine. He has an H-index of 43 and is the third most productive researcher in his field. He holds over $3.5M in research funding and has given invited presentations at 10 national conferences and 8 international scientific meetings in the last 5 years. James has supervised 18 PhD students and mentored 4 postdocs. In 2015 James founded the NSW network for pain PhD students/ECRs (SPRiNG). He is the current chair of the back pain group of STREAM Health and is a member of the Scientific Advisory Group (SAG) for the Australian and New Zealand Musculoskeletal Clinical Trials Network (ANZMUSC).
Persistent musculoskeletal pain is one of the most significant health issues in the developed world. Termed a ‘Western epidemic’, low back pain is the most common form of persistent musculoskeletal pain and a leading cause of suffering and disability. Despite the enormity of the problem, many current therapies target generic symptoms, not underlying mechanisms, with limited effect. In 2010, the Australian National Pain Summit concluded ‘the management of pain is shockingly inadequate’. This assessment is not surprising given that critical information on the biological changes that underpin persistent low back pain is lacking. The UPWaRD study is a 5-year NHMRC-funded trial that investigates the role of brain plasticity, along with biological changes in the spinal cord, hormonal changes, genetics and stress, in the development of persistent low back pain.
Developing a Guideline for Reporting Mediation Analyses (AGReMA) in randomized trials and observational studies.
Investigating causal mechanisms using mediation analysis is becoming increasingly common in psychology, public health, and social science. Despite increasing popularity, the accuracy and completeness when reporting mediation analyses are inconsistent. Inadequate and inaccurate reporting of research stifles replication, limits assessment of potential bias, complicates meta-analyses, and wastes resources. There is a pressing need to develop a reporting standard for mediation analyses. Up to now, there have been no registered initiatives on the “Enhancing the QUAlity and Transparency of health Research” (EQUATOR) network that guide the reporting of mediation analyses. Our proposed project aims to improve the reporting quality of future mediation analyses by developing a reporting guideline through a program of established methodologies (Systematic Review, Delphi Survey, Consensus Meetings, and Guideline Dissemination). The development and implementation of this guideline will improve the transparency of research findings on causal mechanisms across multiple disciplines.
THIAGO FOLLY Research Assistant
ANIKA HAIGH Research Assistant
PAULINE ZAHARA Research Assistant
: 9399 1049
ADRIAN TRAEGER PhD Candidate
HOPIN LEE PhD Candidate
DR MARKUS HUEBSCHER Postdoctoral Fellow
To develop and validate a prognostic model from a comprehensive range of candidate prognostic factors that can identify patients who are at risk of developing persistent pain following wrist or hand fracture. We developed and externally validated a prognostic model to predict persistent pain 4 months after a wrist or hand fracture. Future studies are needed to assess whether the accuracy of this model can be improved by updating and validating it in local settings.