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Translational Research and
Multidisciplinary Teams
Tim Shaw, Anna Janssen, Kylie Museth,
Tracy Robinson and Paul Harnett
OUR TEAM
• Professor Paul Harnett - Director, Sydney West TCRC
• Professor Tim Shaw - Director, WEDG, USyd
• Dr Tracy Robinson – Research Fellow (USyd & SW TCRC)
• Ms Pamela Provan - Manager, Sydney West, TCRC
• Kylie Museth (Innovations Manager, SW TCRC)
• Ms Anna Janssen -Project Manager, (Usyd & SW TCRC)
• Dr. Karin Lyons - Research Support Officer (WM)
• Dr Jenny Shannon – Nepean Hospital
• Dr Peter Flynn – Nepean Hospital
• Dr Julie Howle – Westmead Hospital
Translational Research
Clinical & Translational Research:
Valleys of Death
Basic Biomedical
Research
Clinical Science
& Knowledge
Clinical Practice
& Health Decision
Making
Translational Continuum
Valley 1 Valley 2
Copyright University of Pittsburgh 2006
Reis et al. Clin Transl Sci 2008
14% enter into standard clinical practice; 1%
lead to important health impacts
Thanks to Eva Grunfeld
Sydney West TCRC
• MDT’s primary vehicle for cancer care
• Part of wider program in cancer care (not just
meetings)
• Significant investment - time and resources
• Looking at defining what makes for a high
performing Multidisciplinary care program
Key questions
• What is role of MDTs in Translational Research
across the T’s?
• What is the engagement of MDTS in quality
improvement?
• How can quality improvement and translational
research (Implementation Science) be combined
within the multidisciplinary teams and broader care?
Current Study
Phase 1 (qualitative)
Observations (N=43) of MDT
tumor stream meetings
– Lung
– UGIT
– LGIT
– Gynae Onc
– Breast
– Breast metastatic
– Urology
– Melanoma
Semi structured interviews
(N=18)
– Surgeons
– Oncologists (medical and
radiation)
– Clinical trial coordinators
– Nurses
– Policy makers
– Pathologists
– Research fellows
– Basic scientists
Phase 1 Broad Findings
• Most MDTs use T2 research and some generate it
• Small number generate T1 research
• Very few MDTs active in T3 research or quality
improvement
• Awareness of T3 research is low
• The relationship of MDTs versus individual (s) in
research is unclear
• Not all disciplines appear equally research active
• Currently substantially missed opportunity
Key Enabling Factors
• Integrated data & audit / feedback
• Academic leadership/ capacity
• Embedded expertise
• Regular business/research meetings
• Research fellows (T3)/Medical students
• Access to external expertise
Next Steps
• Pilot under way with Upper GIT
• Proactive engagement with QI – prospective
data identified
• Develop formal structures for QI to interface
with MDTs
• Pilot joint IS intervention with selected team
• Established formal Data Innovation Lab as part
of reapplication with LHD, University and
eHealth NSW
Use of data and MDTs
Impact on clinical
practice
+
Impact on
professional
development
+
Impact on quality
improvement
+
Generation of
research questions

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Engaging multidisciplinary teams in translational research and quality improvement

  • 1.
  • 2. Translational Research and Multidisciplinary Teams Tim Shaw, Anna Janssen, Kylie Museth, Tracy Robinson and Paul Harnett
  • 3. OUR TEAM • Professor Paul Harnett - Director, Sydney West TCRC • Professor Tim Shaw - Director, WEDG, USyd • Dr Tracy Robinson – Research Fellow (USyd & SW TCRC) • Ms Pamela Provan - Manager, Sydney West, TCRC • Kylie Museth (Innovations Manager, SW TCRC) • Ms Anna Janssen -Project Manager, (Usyd & SW TCRC) • Dr. Karin Lyons - Research Support Officer (WM) • Dr Jenny Shannon – Nepean Hospital • Dr Peter Flynn – Nepean Hospital • Dr Julie Howle – Westmead Hospital
  • 5. Clinical & Translational Research: Valleys of Death Basic Biomedical Research Clinical Science & Knowledge Clinical Practice & Health Decision Making Translational Continuum Valley 1 Valley 2 Copyright University of Pittsburgh 2006 Reis et al. Clin Transl Sci 2008 14% enter into standard clinical practice; 1% lead to important health impacts Thanks to Eva Grunfeld
  • 6. Sydney West TCRC • MDT’s primary vehicle for cancer care • Part of wider program in cancer care (not just meetings) • Significant investment - time and resources • Looking at defining what makes for a high performing Multidisciplinary care program
  • 7. Key questions • What is role of MDTs in Translational Research across the T’s? • What is the engagement of MDTS in quality improvement? • How can quality improvement and translational research (Implementation Science) be combined within the multidisciplinary teams and broader care?
  • 9. Phase 1 (qualitative) Observations (N=43) of MDT tumor stream meetings – Lung – UGIT – LGIT – Gynae Onc – Breast – Breast metastatic – Urology – Melanoma Semi structured interviews (N=18) – Surgeons – Oncologists (medical and radiation) – Clinical trial coordinators – Nurses – Policy makers – Pathologists – Research fellows – Basic scientists
  • 10. Phase 1 Broad Findings • Most MDTs use T2 research and some generate it • Small number generate T1 research • Very few MDTs active in T3 research or quality improvement • Awareness of T3 research is low • The relationship of MDTs versus individual (s) in research is unclear • Not all disciplines appear equally research active • Currently substantially missed opportunity
  • 11. Key Enabling Factors • Integrated data & audit / feedback • Academic leadership/ capacity • Embedded expertise • Regular business/research meetings • Research fellows (T3)/Medical students • Access to external expertise
  • 12.
  • 13. Next Steps • Pilot under way with Upper GIT • Proactive engagement with QI – prospective data identified • Develop formal structures for QI to interface with MDTs • Pilot joint IS intervention with selected team • Established formal Data Innovation Lab as part of reapplication with LHD, University and eHealth NSW
  • 14. Use of data and MDTs Impact on clinical practice + Impact on professional development + Impact on quality improvement + Generation of research questions

Editor's Notes

  1. Valley 1: translation of laboratory discoveries to human subjects. Valley 2. translation of evidence to clinical and public health policy and practice From clinical science and knowledge, only 14% is believed to enter into day to day clinical practice (Westfall, Mold and Fagan, 2007). Cooksey SD. A review of UK health research funding. London (UK): HM Treasury; 2006. Avaialbe:www.official-documents.gov.uk/document/other/0118404881/0118404881 Yusuf et al. The perilous state of independent randomized clinical trials and related applied research in Canada. CMAJ 2012; 184(18):1997 Of 100 major findings consider important for human health, 5% translated for human use and only 1% lead to an important health impact. Contopoulos-Ioannidis, DF. Translation of highly promising basic science research into clinical applications. AM J Med 2003;114:477-84. $139billion basic biomedical research, lead to 800,000 discoveries, lead to only 21 new FDA approved medicines
  2. clinical networks, registrar training etc.)
  3. On basis of lit and draft guidelines we developed the above
  4. Qualitative approaches used to generate hypotheses that can subsequently be tested