Saurab Sharmaprofile image
Dr

Saurab Sharma


Current Appointments

Postdoctoral Research Fellow
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Dr Saurab Sharma is a Postdoctoral Research Fellow at NeuRA and the UNSW School of Health Sciences. Saurab is supported by the International Association for the Study of Pain (IASP) John J. Bonica Fellowship (2020). Dr Sharma received the Exceptional Thesis Award for his PhD by the University of Otago (2020). Before joining a PhD in 2017, Saurab worked as an educator and musculoskeletal physiotherapist in Nepal for a decade. Saurab has won multiple awards including The Otago Most Promising Pain Research Award (2021) and The UNSW School of Health Sciences Early Career Researcher of the Year Award (2022).

Saurab has published >65 peer-reviewed publications in top general medical (BMJ) and specialist journals (e.g., PAIN, J Physiotherapy). He currently serves as Associate Editor for JOSPT and Physiotherapy.  He is one of the Commissioners for the Lancet Commission on Osteoarthritis. Saurab is a Development Group Member for the World Health Organisation’s initiative of developing rehabilitation intervention package for osteoarthritis. Saurab serves on 5 IASP committees and taskforces including Global Alliance of Partners for Pain Advocacy, Global Year Against Pain 2022 and 2023.

Saurab currently leads research theme on Equitable Pain Care – Globally (EQUIP-ALL) within the Centre for Pain IMPACT led by Professor James H. McAuley with an aim to improve pain care for underserved populations. Within this theme, Saurab currently chairs a Consortium for Low Back Pain in Low- and Middle-Income Countries (LMICs) which consists of 65 multidisciplinary stakeholders from 35 countries. Follow Saurab’s work on Google Scholar.


Publications

2024 Jul

A Qualitative Study Identifying Barriers and Enablers to Exercise Adherence in People with Chronic Low Back Pain. “It’s a personal journey”

View full journal-article on https://doi.org/10.1016/j.jpain.2024.02.002

2024 Jul

The smallest worthwhile effect on pain intensity of exercise therapy for people with chronic low back pain: a discrete choice experiment study.

View full journal-article on https://app.dimensions.ai/details/publication/pub.1170815213

2024, 01 Jun

Pre-COVID life expectancy, mortality, and burden of diseases for adults 70 years and older in Australia: a systematic analysis for the Global Burden of Disease 2019 Study

View full journal-article on https://app.dimensions.ai/details/publication/pub.1172499020

2024 Jun

Development of recommendations for a minimum dataset for Identifying Social factors that Stratify Health Opportunities and Outcomes (ISSHOOs) in pain research

View full journal-article on https://app.dimensions.ai/details/publication/pub.1166296961

2024, 01 May

IDENTIFYING BARRIERS AND ENABLERS TO EXERCISE ADHERENCE IN PEOPLE WITH CHRONIC LOW BACK PAIN: A QUALITATIVE STUDY

View full other on https://app.dimensions.ai/details/publication/pub.1171387064

2024, 01 May

THE SMALLEST WORTHWHILE EFFECT OF EXERCISE THERAPY FOR PEOPLE WITH CHRONIC LOW BACK PAIN: A DISCRETE CHOICE EXPERIMENT STUDY

View full other on https://app.dimensions.ai/details/publication/pub.1171387035

2024, 11 Apr

How low back pain is managed-a mixed methods study in 32 countries. Part 2 of Low Back Pain in Low- and Middle-Income Countries Series.

View full journal-article on https://app.dimensions.ai/details/publication/pub.1170649143

2024, 01 Apr

Consensus on the definitions and descriptions of the domains of the OMERACT Core Outcome Set for shared decision making interventions in rheumatology trials

View full journal-article on https://app.dimensions.ai/details/publication/pub.1167938639

2024, 01 Apr

Generating a list of potentially important contextual factors covering randomized trials, cohorts, and measurement property studies: An OMERACT initiative

View full journal-article on https://app.dimensions.ai/details/publication/pub.1167794543

2024, 01 Apr

OMERACT Core outcome measurement set for shared decision making in rheumatic and musculoskeletal conditions: a scoping review to identify candidate instruments

View full journal-article on https://app.dimensions.ai/details/publication/pub.1167039256