Dr Elisabeth Huynh

PhD in Economics (Econometrics), USYD; B.Com, USYD
Research Fellow

Biography

Dr Elisabeth Huynh's broad research interests are in health economics, focusing on understanding preferences, choice and behaviour of key decision makers in the health sector for medical interventions and economic evaluations.

Dr Huynh received her PhD in Economics (Econometrics) and B.Com majoring in Econometrics at the University of Sydney. Her research focuses on methodological and applied economics research predominantly in understanding and modelling discrete choice, preferences and behaviour of key decision makers in the health sector and other areas of public policy. Elisabeth's research has engaged with international industry and government bodies in medical decision-making and policy on a broad range of topics. Substantive areas of interest include valuing quality of life and end-of-life decision making; health services research; ageing; health and development; and the labour markets of health care professionals, including participation decisions of patient and health service providers.

Research

Research interests

  • Health Economics
  • Health services research
  • Applied Econometrics
  • Patient preferences and decision making in health sector
  • Stated Preference Methods
  • Discrete choice experiments and modelling
  • Best-worst scaling
  • Health workforce
  • Healthy ageing
  • Nutrition and Physical activity
  • Quality of Life

Publications

  • Farkas, M, Huynh, E, Gulácsi, L et al. 2021, 'Development of Population Tariffs for the ICECAP-A Instrument for Hungary and their Comparison With the UK Tariffs', Value in Health, vol. 24, no. 12, pp. 1845-1852.
  • Gunn, K, Luker, J, Ramanathan, R et al. 2021, 'Choosing and managing aged care services from afar: What matters to Australian long-distance care givers', International Journal of Environmental Research and Public Health, vol. 18, no. 24, pp. 1-17.
  • Dams , J, Huynh, E, Riedel-Heller, S et al. 2020, 'German tariffs for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluations at the end of life', European Journal of Health Economics, vol. 22, pp. 365-380.
  • Johnson, B, Golley , R, Zarnowiecki, D et al. 2020, 'Understanding the influence of physical resources and social supports on primary food providers' snack food provision: a discrete choice experiment', International Journal of Behavioral Nutrition and Physical Activity, vol. 17, no. 155, pp. 1-13.
  • Milte, R, Huynh, E & Ratcliffe, J 2019, 'Assessing quality of care in nursing homes using discrete choice experiments: How does the level of cognitive functioning impact upon older people's preferences?', Social Science and Medicine, vol. 238.
  • Mpundu-Kaambwa, C, Chen, G, Huynh, E et al 2019, 'Mapping the PedsQLâ„¢ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample', PharmacoEconomics, vol. 37, no. 9, pp. 1139-1153.
  • Chen, G, Xue, F, Huynh, E et al 2019, 'Scoring the Child Health Utility 9D Instrument: Estimation of a Chinese Child and Adolescent-Specific Tariff', Quality of Life Research, vol. 28, no. 1, pp. 163-176.
  • Malek, L, Umberger, W, Zhou, S et al. 2019, 'Understanding Preferences for Dietary Supplements and Fortified Food during Pregnancy: A Discrete Choice Experiment', Journal of Food Products Marketing, vol. 25, no. 5, pp. 500-526.
  • Johnston, B, Hendrie, G, Zarnowiecki, D et al 2019, 'Examining Constructs of Parental Reflective Motivation towards Reducing Unhealthy Food Provision to Young Children', Nutrients, vol. 11, no. 1507.
  • Bailey , C, Kinghorn , P, Hewison , A et al. 2019, 'Hospice patients' participation in choice experiments to value supportive care outcomes', BMJ Supportive & Palliative Care - BMJ Journals, vol. 9, no. 4, pp. 1-4.
  • Huynh, E, Coast, J, Rose, J et al 2018, 'Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for usein economic evaluation at end of life', Social Science and Medicine, vol. 189, pp. 114-128.
  • Mpundu-Kaambwa, C, Chen, G, Huynh, E et al 2018, 'A review of preference-based measures for the assessment of quality of life in children and adolescents with cerebral palsy', Quality of Life Research, vol. 27, pp. 1781-1799.
  • Huynh, E, Arana, J & Prior, J 2018, 'Evaluating residents' preferences for remediation technologies: A choice experiment approach', Science of the Total Environment, vol. 621, pp. 1012-1022.
  • Jakubczyk, M, Craig, B, Barra, M et al 2018, 'Choice Defines Value: A Predictive Modeling Competition in Health Preference Research', Value in Health, vol. 21, pp. 229-238.
  • Mpundu-Kaambwa, C, Chen, G, Huynh, E et al 2017, 'Protocol for a systematic review of instruments for the assessment of quality of life and well-being in children and adolescents with cerebral palsy', BMJ Open, vol. 7, no. e015924, pp. 1-6.
  • Ratcliffe, J, Huynh, E, Chen, G et al. 2016, 'Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm', Social Science and Medicine, vol. 157, pp. 48-59.

Teaching

 

Wambrauw,Monita Yessy Beatrick, PhD Candidate. Investigation route choice behaviour of commuters using bridge linking isolated islands in Indonesia (UniSA)

MpunduKaambwa,Christine, PhD Candidate. Measuring and valuing health related quality of life for children and adolescents with neurological disabilities: the case of cerebral palsy. (UniSA)

Johnson,Brittany Jayne, PhD Candidate. Equipping parents to reduce their children's intake of unhealthy foods (Flinders University)