Dr Michelle Cunich

Research Fellow (Health Economics) Boden Institute

Member of the Charles Perkins Centre

Telephone +61 2 8627 1949
Fax +61 2 8627 0141

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Teaching and supervision

PubH5308 Worforce Policy Analysis

Selected grants

2017

  • Population based genetic testing for high-risk breast and ovarian cancer predisposition genes; Campbell I, Cunich M; National Health and Medical Research Council (NHMRC)/Project Grants.

2014

  • Keep on keeping on: Predicting who will be able to work until they are 70 years old; Schofield D, Shrestha R, Cunich M; IRT Research Foundation (Illawarra Retirement Trust)/Research Grants.

Selected publications & creative works

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Journals

  • Schofield, D., Zeppel, M., Tan, O., Lymer, S., Cunich, M., Shrestha, R. (2018). A brief, global history of microsimulation models in health: Past applications, lessons learned and future directions. International Journal of Microsimulation, 11(1), 97-142.
  • Tang, O., Shrestha, R., Cunich, M., Schofield, D. (2018). Application of Next-Generation Sequencing (NGS) to improve cancer management: A review of the clinical effectiveness and cost-effectiveness. Clinical Genetics, 93(3), 533-544. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M. (2018). The economic impacts of using adalimumab (Humira®) for reducing pain in people with ankylosing spondylitis: A microsimulation study for Australia. International Journal of Rheumatic Diseases, 21(5), 1106-1113. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2018). The long-term economic impacts of arthritis through lost productive life years: Results from an Australian microsimulation model. BMC Public Health, 18(1), 1-10. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Passey, M., Veerman, L., Tanton, R., Kelly, S. (2017). The costs of diabetes among Australians aged 45-64-years from 2015 to 2030: Projections of lost productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from Health&WealthMOD2030. BMJ Open, 7(1), 1-11. [More Information]
  • Nomaguchi, T., Cunich, M., Zapata-Diomedi, B., Veerman, J. (2017). The impact on productivity of a hypothetical tax on sugar-sweetened beverages. Health Policy, 121(6), 715-725. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). A 6-year trend of the healthcare costs of arthritis in a population-based cohort of older women. Expert Review of Pharmacoeconomics and Outcomes Research, 16(3), 383-391. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Cost of arthritis: A systematic review of methodologies used for direct costs. Expert Review of Pharmacoeconomics and Outcomes Research, 16(1), 51-65. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Discordance between self-reported arthritis and musculoskeletal signs and symptoms in older women. BMC Musculoskeletal Disorders, 17(1), 1-9. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2016). Economic costs of chronic disease through lost productive life years (PLYs) among Australians aged 45-64 years from 2015 to 2030: results from a microsimulation model. BMJ Open, 6(9), 1-9. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Factors associated with the health care cost in older Australian women with arthritis: An application of the Andersen's Behavioural Model of Health Services Use. Public Health, 134, 64-71. [More Information]
  • Parkinson, L., Moorin, R., Peeters, G., Byles, J., Blyth, F., Caughey, G., Cunich, M., Magin, P., March, L., Pond, D. (2016). Incident osteoarthritis associated with increased allied health services use in 'baby boomer' Australian women. Australian and New Zealand Journal of Public Health, 40(4), 356-361. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2016). The indirect costs of back problems (dorsopathies) in Australians aged 45 to 64 years from 2015 to 2030: results from a microsimulation model, Health&WealthMOD2030. Pain, 157(12), 2816-2825. [More Information]
  • Salkeld, G., Cunich, M., Dowie, J., Howard, K., Patel, M., Mann, G., Lipworth, W. (2016). The role of personalised choice in decision support: A randomized controlled trial of an online decision aid for prostate cancer screening. PloS One, 11(4), 1-17. [More Information]
  • Kaltoft, M., Turner, R., Cunich, M., Salkeld, G., Neilsen, J., Dowie, J. (2015). Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis: Proof of Method. Health Economics Review, 5, 1-11. [More Information]
  • Cashin, A., Stasa, H., Gullick, J., Conway, R., Cunich, M., Buckley, T. (2015). Clarifying Clinical Nurse Consultant work in Australia: A phenomenological study. Collegian, 22(4), 405-412. [More Information]
  • Jeon, Y., Simpson, J., Li, Z., Cunich, M., Thomas, T., Chenoweth, L., Kendig, H. (2015). Cluster Randomized Controlled Trial of An Aged Care Specific Leadership and Management Program to Improve Work Environment, Staff Turnover, and Care Quality. Journal of the American Medical Directors Association (JAMDA), 16(7), 629.e19-629.e28. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2015). Factors associated with higher healthcare costs in individuals living with arthritis: Evidence from the quantile regression approach. Expert Review of Pharmacoeconomics and Outcomes Research, 15(5), 833-841. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Tanton, R., Kelly, S., Passey, M., Veerman, L. (2015). Lost productive life years caused by chronic conditions in australians aged 45-64 years, 2010-2030. Medical Journal of Australia, 203(6), 260e1-260e6. [More Information]
  • Schofield, D., Cunich, M., Kelly, S., Passey, M., Shrestha, R., Callander, E., Tanton, R., Veerman, L. (2015). The impact of diabetes on the labour force participation, savings and retirement income of workers aged 45-64 years in Australia. PloS One, 10(2), 1-10. [More Information]
  • Dowie, J., Kaltoft, M., Salkeld, G., Cunich, M. (2015). Towards generic online multicriteria decision support in patient-centred health care. Health Expectations, 18(5), 689-702. [More Information]
  • Schofield, D., Cunich, M., Naccarella, L. (2014). An evaluation of the quality of evidence underpinning diabetes management models: a review of the literature. Australian Health Review, 38(5), 495-505. [More Information]
  • Kaltoft, M., Cunich, M., Salkeld, G., Dowie, J. (2014). Assessing decision quality in patient-centred care requires a preference-sensitive measure. Journal of Health Services Research & Policy, 19(2), 110-117. [More Information]
  • Schofield, D., Shrestha, R., Kelly, S., Veerman, L., Tanton, R., Passey, M., Vos, T., Cunich, M., Callander, E. (2014). Health&WealthMOD2030: A Microsimulation Model of the Long Term Economic Impacts of Disease Leading to Premature Retirements of Australians Aged 45-64 Years Old. International Journal of Microsimulation, 7(2), 94-118.
  • Schofield, D., Cunich, M., Shrestha, R., Passey, M., Veerman, L., Callander, E., Kelly, S., Tanton, R. (2014). The economic impact of diabetes through lost labour force participation on individuals and government: evidence from a microsimulation model. BMC Public Health, 14(1), 1-8. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Passey, M., Kelly, S., Tanton, R., Veerman, L. (2014). The impact of chronic conditions of care recipients on the labour force participation of informal carers in Australia: which conditions are associated with higher rates of non-participation in the labour force? BMC Public Health, 14(1), 1-9. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Callander, E., Passey, M., Kelly, S., Tanton, R., Veerman, L. (2014). The Impact of Diabetes on the Labour Force Participation and Income Poverty of Workers Aged 45-64 Years in Australia. PloS One, 9(2), 1-7. [More Information]
  • Parkinson, L., Curryer, C., Gibberd, A., Cunich, M., Byles, J. (2013). Good agreement between self-report and centralized hospitalizations data for arthritis-related surgeries. Journal of Clinical Epidemiology, 66(10), 1128-1134. [More Information]
  • Weber, M., Cunich, M., Smith, D., Salkeld, G., Sitas, F., O'Connell, D. (2013). Sociodemographic and health-related predictors of self-reported mammogram, faecal occult blood test and prostate specific antigen test use in a large Australian study. BMC Public Health, 13(429), 1-13. [More Information]
  • Jeon, Y., Simpson, J., Chenoweth, L., Cunich, M., Kendig, H. (2013). The effectiveness of an aged care specific leadership and management program on workforce, work environment, and care quality outcomes: design of a cluster randomised controlled trial. Implementation Science, 8(1), 1-10. [More Information]
  • Williams, J., Cunich, M., Byles, J. (2013). The impact of socioeconomic status on changes in the general and mental health of women over time: evidence from a longitudinal study of Australian women. International Journal for Equity in Health, 12(1), 1-11. [More Information]
  • Howard, K., Salkeld, G., Mann, G., Patel, M., Cunich, M., Pignone, M. (2012). The COMPASs Study: Community Preferences for Prostate cAncer Screening. Protocol for a quantitative preference study. BMJ Open, 2(1), 1-6. [More Information]
  • Fitzgerald, E., Cunich, M., Clarke, P. (2011). Changes in Inequalities of Access to Dental Care in Australia 1977-2005. Australian Economic Review, 44(2), 153-166. [More Information]
  • Cunich, M., Salkeld, G., Dowie, J., Henderson, J., Bayram, C., Britt, H., Howard, K. (2011). Integrating evidence and individual preferences using a web-based multi-criteria decision analytic tool: An application to prostate cancer screening. The Patient, 4(3), 153-162. [More Information]
  • Cunich, M., Whelan, S. (2010). Nurse Education and the Retention of Registered Nurses in New South Wales. Economic Record, 86(274), 396-413. [More Information]

Conferences

  • Cunich, M. (2010). The effect of country of training on the occupational mobility of Registered Nurses in New South Wales, 1993-2002. 8th European Conference on Health Economics ECHE 2010, United States: International Health Economics Association.
  • Salkeld, G., Cunich, M., Dowie, J., Britt, H., Henderson, J., Howard, K. (2010). Values-Based Decision Making: The Application of a Multi Criteria Decision Analytic Tool to Prostate Cancer Screening. 31st Annual Meeting of the Society for Medical Decision Making SMDM 2009, United States: Sage Publications.

Research Reports

  • Schofield, D., Shrestha, R., Cunich, M., Callander, E. (2016). Keep on keeping on: Predicting who will be able to work until they are 70 years old, (pp. 1 - 3). Wollongong, Australia: IRT Foundation.

2018

  • Schofield, D., Zeppel, M., Tan, O., Lymer, S., Cunich, M., Shrestha, R. (2018). A brief, global history of microsimulation models in health: Past applications, lessons learned and future directions. International Journal of Microsimulation, 11(1), 97-142.
  • Tang, O., Shrestha, R., Cunich, M., Schofield, D. (2018). Application of Next-Generation Sequencing (NGS) to improve cancer management: A review of the clinical effectiveness and cost-effectiveness. Clinical Genetics, 93(3), 533-544. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M. (2018). The economic impacts of using adalimumab (Humira®) for reducing pain in people with ankylosing spondylitis: A microsimulation study for Australia. International Journal of Rheumatic Diseases, 21(5), 1106-1113. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2018). The long-term economic impacts of arthritis through lost productive life years: Results from an Australian microsimulation model. BMC Public Health, 18(1), 1-10. [More Information]

2017

  • Schofield, D., Shrestha, R., Cunich, M., Passey, M., Veerman, L., Tanton, R., Kelly, S. (2017). The costs of diabetes among Australians aged 45-64-years from 2015 to 2030: Projections of lost productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from Health&WealthMOD2030. BMJ Open, 7(1), 1-11. [More Information]
  • Nomaguchi, T., Cunich, M., Zapata-Diomedi, B., Veerman, J. (2017). The impact on productivity of a hypothetical tax on sugar-sweetened beverages. Health Policy, 121(6), 715-725. [More Information]

2016

  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). A 6-year trend of the healthcare costs of arthritis in a population-based cohort of older women. Expert Review of Pharmacoeconomics and Outcomes Research, 16(3), 383-391. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Cost of arthritis: A systematic review of methodologies used for direct costs. Expert Review of Pharmacoeconomics and Outcomes Research, 16(1), 51-65. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Discordance between self-reported arthritis and musculoskeletal signs and symptoms in older women. BMC Musculoskeletal Disorders, 17(1), 1-9. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2016). Economic costs of chronic disease through lost productive life years (PLYs) among Australians aged 45-64 years from 2015 to 2030: results from a microsimulation model. BMJ Open, 6(9), 1-9. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2016). Factors associated with the health care cost in older Australian women with arthritis: An application of the Andersen's Behavioural Model of Health Services Use. Public Health, 134, 64-71. [More Information]
  • Parkinson, L., Moorin, R., Peeters, G., Byles, J., Blyth, F., Caughey, G., Cunich, M., Magin, P., March, L., Pond, D. (2016). Incident osteoarthritis associated with increased allied health services use in 'baby boomer' Australian women. Australian and New Zealand Journal of Public Health, 40(4), 356-361. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Callander, E. (2016). Keep on keeping on: Predicting who will be able to work until they are 70 years old, (pp. 1 - 3). Wollongong, Australia: IRT Foundation.
  • Schofield, D., Cunich, M., Shrestha, R., Tanton, R., Veerman, L., Kelly, S., Passey, M. (2016). The indirect costs of back problems (dorsopathies) in Australians aged 45 to 64 years from 2015 to 2030: results from a microsimulation model, Health&WealthMOD2030. Pain, 157(12), 2816-2825. [More Information]
  • Salkeld, G., Cunich, M., Dowie, J., Howard, K., Patel, M., Mann, G., Lipworth, W. (2016). The role of personalised choice in decision support: A randomized controlled trial of an online decision aid for prostate cancer screening. PloS One, 11(4), 1-17. [More Information]

2015

  • Kaltoft, M., Turner, R., Cunich, M., Salkeld, G., Neilsen, J., Dowie, J. (2015). Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis: Proof of Method. Health Economics Review, 5, 1-11. [More Information]
  • Cashin, A., Stasa, H., Gullick, J., Conway, R., Cunich, M., Buckley, T. (2015). Clarifying Clinical Nurse Consultant work in Australia: A phenomenological study. Collegian, 22(4), 405-412. [More Information]
  • Jeon, Y., Simpson, J., Li, Z., Cunich, M., Thomas, T., Chenoweth, L., Kendig, H. (2015). Cluster Randomized Controlled Trial of An Aged Care Specific Leadership and Management Program to Improve Work Environment, Staff Turnover, and Care Quality. Journal of the American Medical Directors Association (JAMDA), 16(7), 629.e19-629.e28. [More Information]
  • Lo, T., Parkinson, L., Cunich, M., Byles, J. (2015). Factors associated with higher healthcare costs in individuals living with arthritis: Evidence from the quantile regression approach. Expert Review of Pharmacoeconomics and Outcomes Research, 15(5), 833-841. [More Information]
  • Schofield, D., Shrestha, R., Cunich, M., Tanton, R., Kelly, S., Passey, M., Veerman, L. (2015). Lost productive life years caused by chronic conditions in australians aged 45-64 years, 2010-2030. Medical Journal of Australia, 203(6), 260e1-260e6. [More Information]
  • Schofield, D., Cunich, M., Kelly, S., Passey, M., Shrestha, R., Callander, E., Tanton, R., Veerman, L. (2015). The impact of diabetes on the labour force participation, savings and retirement income of workers aged 45-64 years in Australia. PloS One, 10(2), 1-10. [More Information]
  • Dowie, J., Kaltoft, M., Salkeld, G., Cunich, M. (2015). Towards generic online multicriteria decision support in patient-centred health care. Health Expectations, 18(5), 689-702. [More Information]

2014

  • Schofield, D., Cunich, M., Naccarella, L. (2014). An evaluation of the quality of evidence underpinning diabetes management models: a review of the literature. Australian Health Review, 38(5), 495-505. [More Information]
  • Kaltoft, M., Cunich, M., Salkeld, G., Dowie, J. (2014). Assessing decision quality in patient-centred care requires a preference-sensitive measure. Journal of Health Services Research & Policy, 19(2), 110-117. [More Information]
  • Schofield, D., Shrestha, R., Kelly, S., Veerman, L., Tanton, R., Passey, M., Vos, T., Cunich, M., Callander, E. (2014). Health&WealthMOD2030: A Microsimulation Model of the Long Term Economic Impacts of Disease Leading to Premature Retirements of Australians Aged 45-64 Years Old. International Journal of Microsimulation, 7(2), 94-118.
  • Schofield, D., Cunich, M., Shrestha, R., Passey, M., Veerman, L., Callander, E., Kelly, S., Tanton, R. (2014). The economic impact of diabetes through lost labour force participation on individuals and government: evidence from a microsimulation model. BMC Public Health, 14(1), 1-8. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Passey, M., Kelly, S., Tanton, R., Veerman, L. (2014). The impact of chronic conditions of care recipients on the labour force participation of informal carers in Australia: which conditions are associated with higher rates of non-participation in the labour force? BMC Public Health, 14(1), 1-9. [More Information]
  • Schofield, D., Cunich, M., Shrestha, R., Callander, E., Passey, M., Kelly, S., Tanton, R., Veerman, L. (2014). The Impact of Diabetes on the Labour Force Participation and Income Poverty of Workers Aged 45-64 Years in Australia. PloS One, 9(2), 1-7. [More Information]

2013

  • Parkinson, L., Curryer, C., Gibberd, A., Cunich, M., Byles, J. (2013). Good agreement between self-report and centralized hospitalizations data for arthritis-related surgeries. Journal of Clinical Epidemiology, 66(10), 1128-1134. [More Information]
  • Weber, M., Cunich, M., Smith, D., Salkeld, G., Sitas, F., O'Connell, D. (2013). Sociodemographic and health-related predictors of self-reported mammogram, faecal occult blood test and prostate specific antigen test use in a large Australian study. BMC Public Health, 13(429), 1-13. [More Information]
  • Jeon, Y., Simpson, J., Chenoweth, L., Cunich, M., Kendig, H. (2013). The effectiveness of an aged care specific leadership and management program on workforce, work environment, and care quality outcomes: design of a cluster randomised controlled trial. Implementation Science, 8(1), 1-10. [More Information]
  • Williams, J., Cunich, M., Byles, J. (2013). The impact of socioeconomic status on changes in the general and mental health of women over time: evidence from a longitudinal study of Australian women. International Journal for Equity in Health, 12(1), 1-11. [More Information]

2012

  • Howard, K., Salkeld, G., Mann, G., Patel, M., Cunich, M., Pignone, M. (2012). The COMPASs Study: Community Preferences for Prostate cAncer Screening. Protocol for a quantitative preference study. BMJ Open, 2(1), 1-6. [More Information]

2011

  • Fitzgerald, E., Cunich, M., Clarke, P. (2011). Changes in Inequalities of Access to Dental Care in Australia 1977-2005. Australian Economic Review, 44(2), 153-166. [More Information]
  • Cunich, M., Salkeld, G., Dowie, J., Henderson, J., Bayram, C., Britt, H., Howard, K. (2011). Integrating evidence and individual preferences using a web-based multi-criteria decision analytic tool: An application to prostate cancer screening. The Patient, 4(3), 153-162. [More Information]

2010

  • Cunich, M., Whelan, S. (2010). Nurse Education and the Retention of Registered Nurses in New South Wales. Economic Record, 86(274), 396-413. [More Information]
  • Cunich, M. (2010). The effect of country of training on the occupational mobility of Registered Nurses in New South Wales, 1993-2002. 8th European Conference on Health Economics ECHE 2010, United States: International Health Economics Association.
  • Salkeld, G., Cunich, M., Dowie, J., Britt, H., Henderson, J., Howard, K. (2010). Values-Based Decision Making: The Application of a Multi Criteria Decision Analytic Tool to Prostate Cancer Screening. 31st Annual Meeting of the Society for Medical Decision Making SMDM 2009, United States: Sage Publications.

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