About Associate Professor Natalie Taylor

A/Prof Natalie Taylor is passionate about health and healthcare behaviour change research, and establishing the most cost-effective ways to achieve this for improved patient outcomes. Her research is focussed on testing the impact of behaviour change and implementation science methods for enhancing the translation of clinical guidelines to improve practice and outcomes for cancer patients with a particular emphasis on translational research in cancer.

A/Prof Taylor has expertise in health and organisational behaviour change. She currently leads a team of researchers to deliver a program of work focusing on hereditary cancers, in particular cancers amongst individuals carrying the Lynch syndrome gene. This work observes patterns of the disease amongst carriers, the cost-effectiveness of screening pathways, treatments, and approaches to implementation of evidence based clinical guidelines for these conditions. In her body of work, she has collaborated on a collection of research projects, academic activity, and community activity across a range of cancers and other conditions with researcher and clinical colleagues across Australia and internationally. Her research has been published in leading journals in her field of research including Implementation Science, Genetics in Medicine, MJA, BMJ Open, Health Psychology Review, BMJ Quality and Safety, and BMC Health Services Research. A/Prof Taylor has supervised PhD Candidates to completion and is currently available for PhD candidate supervision.

A/Prof Taylor’s current program of work is funded by project and fellowship grants awarded by Cancer Australia and the Cancer Institute NSW. She is also a CI to an Australian Genomics Health Alliance funded project and a NHMRC Partnership Project Grant. In 2016, she received the NSW Premier’s Award for Outstanding Cancer Research for Excellence in Translational Cancer Research.

Selected publications

  1. Kang YJ, Killen J, Caruana M, Simms K, Taylor N, Frayling IM, Snowsill T, Huxley N, Coupe V, Hughes S, Freeman V, Boussioutas A, Trainer AH, Ward RL, Mitchell G, Macrae F, Canfell K. (2019). The predicted impact and cost-effectiveness of systematic testing of people with incident colorectal cancer for Lynch syndrome. MJA.
  2. Taylor, N., Mitchell, G., Kang, Y., Jenkins, M., Tucker, K., & Macrae, F. (2019) Opportunities for Lynch syndrome testing. Public Health Research and Practice.  
  3. Morrow A, Hogden E, Kang Y-J, Steinberg J, Canfell K, Solomon M, Kench JG, Gill AJ, Shaw T, Pachter N, Parkinson B, Wolfenden L, Mitchell G, Macrae F, Tucker K., Taylor N. (2019) Comparing theory and non-theory based implementation approaches to improving referral practices in cancer genetics: a cluster randomised trial protocol. BMC Trials
  4. Long JC, Winata T, Debono D, Phan-Thien K-C, Zhu C, Taylor N. (2019). Process evaluation of a behaviour change approach to improving clinical practice for detecting hereditary cancer. BMC Health Services Research
  5. Taylor, N. Best, S., Martyn, M., Long, J., North, K., Braithwaite, J., & Gaff, C. (2019). A transformative translational change programme to introduce genomics into healthcare: a complexity and implementation science study protocol. BMJ Open
  6. Clay-Williams, R., Taylor, N., & Braithwaite, J. (2018). Multi-centre health services research governance: potential solutions to the burden of regulation and bureaucracy. MJA
  7. Healey, E., Taylor, N., Williams, R., Greening, S., Wakefield, C., Warwick, L., & Tucker, K. Quantifying dissemination rates and identifying barriers to communication of risk information in Australian BRCA families. (2017). Genetics in Family Medicine.
  8. Taylor N, Lawton R, Slater B, Moore S., Craig, J., Wright J, Mohammed, M. (2014). Collaborating with front-line healthcare professionals: the clinical and cost effectiveness of a theory based approach to the implementation of a national guideline. BMC Health Services Research, 14 (1), 648.
  9. Taylor, N., Lawton, R., Conner, M. (2012). The impact of theory on the effectiveness of worksite physical activity interventions: a meta-analysis and meta-regression. Health Psychology Review, 6(1), pp.33-73.
  10. McEachen, R., Conner, M., Taylor, N., & Lawton, R. (2011). Prospective prediction of health-related behaviors with the Theory of Planned Behavior: A meta-analysis. Health Psychology Review, 5(2), 97-144