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crystian.oliveira@sydney.edu.au​​

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Dr Crystian Bitencourt Soares de Oliveira

KEY PUBLICATIONS​

BPhty (Hons I), MSc, PhD

Postdoctoral Research Fellow

Dr Crystian Oliveira is a research fellow at the Institute for Musculoskeletal Health, Sydney Local Health District and the School of Public Health. His research focuses on improving the care and understanding of people with musculoskeletal pain. He conducted randomised controlled trials and systematic reviews investigating the effectiveness of interventions and observational studies investigating the prevalence and prognosis of people with musculoskeletal pain. 

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He has published >70 publications receiving >2600 citations (h-index 17) and is ranked in the top 0.11% of 63,151 world experts on back pain (ExpertScape). He is on the editorial board of two journals in the field: BMC Musculoskeletal Disorders and Musculoskeletal Science and Practice. He has reviewed >90 papers for 29 journals (including the top generalist eg Ann Intern Med, JAMA Inter Med) and field-specific journals (eg Lancet Rheumatology). He has presented at conferences in the field, including the International Forum for Back and Neck Pain Research. He has led successful international collaborations with 149 co-authors from 10 different countries and institutions, such as Johns Hopkins University School of Medicine, University of Southern Denmark, and Erasmus University Rotterdam. 

Key Research Projects

BACK@HOME

Description: This hybrid effectiveness-implementation type-I feasibility study is to assess the effectiveness of a virtual hospital model of care to reduce length of admission in people presenting to ED with low back pain. We plan to conduct an interrupted time series study at three metropolitan hospitals in Sydney, New South Wales, Australia. The implementation strategy includes clinician education using multimedia resources, staff champions, and an ‘audit and feedback’ process. Implementation will be evaluated over 12-months, and compared to a 48-month pre-implementation period, using monthly time-series trends in average length of hospital stay as the primary outcome. Linear segmented regression will identify changes in level and slope of fitted lines, indicating immediate effects of the intervention, as well as effect over time. Funded by HCF Research Foundation ($315k).

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