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Using micro-simulation to create a synthesised data set and test policy options: The case of health service effects under demographic ageing

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  • Davis, Peter
  • Lay-Yee, Roy
  • Pearson, Janet

Abstract

Objectives To assess micro-simulation for testing policy options under demographic ageing.Methods Individual-level data were drawn from the New Zealand Health Survey (1996/7 and 2002/3), a national survey of ambulatory care in New Zealand (2001/2), and the Australian National Health Survey (1995). Health service effects assessed were visits to the family doctor, and rates of prescribing and referral. We created a representative set of synthetic health histories by imputation and tested the health service effects of different policy scenarios. These were created by varying ageing and morbidity trajectories, degree of social support available, and intensity of practitioner behaviour.Results The set of synthetic health histories created by combining the data sources generated outcomes reasonably close to external benchmarks. Altering the age distribution of 2002 to approximate settings for 2021 produced no change in rates of visiting, prescribing, or referral for the 65-and-over population. Quantifying the health service effects of different scenarios showed no impact on visit rates by varying social support, but substantial differences for visits between high and low morbidity scenarios and for prescribing and referral rates according to practitioner behaviour.Conclusions There is potential for micro-simulation to assist in the synthesis of data and to help quantify scenario options for policy development.

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  • Davis, Peter & Lay-Yee, Roy & Pearson, Janet, 2010. "Using micro-simulation to create a synthesised data set and test policy options: The case of health service effects under demographic ageing," Health Policy, Elsevier, vol. 97(2-3), pages 267-274, October.
    • Handle: RePEc:eee:hepoli:v:97:y:2010:i:2-3:p:267-274
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    References listed on IDEAS

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    1. Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963, September.
    2. Ruth Hancock & Adelina Comas-Herrera & Raphael Wittenberg & Linda Pickard, 2003. "Who Will Pay for Long-Term Care in the UK? Projections Linking Macro- and Micro-Simulation Models," Fiscal Studies, Institute for Fiscal Studies, vol. 24(4), pages 387-426, December.
    3. Sita Tan & Gerrit van Oortmarssen & Nanda Piersma, 2003. "Estimating Parameters of a Microsimulation Model for Breast Cancer Screening Using the Score Function Method," Annals of Operations Research, Springer, vol. 119(1), pages 43-61, March.
    4. repec:cai:popine:popu_p1998_10n1_0136 is not listed on IDEAS
    5. Batljan, Ilija & Lagergren, Mårten, 2004. "Inpatient/outpatient health care costs and remaining years of life--effect of decreasing mortality on future acute health care demand," Social Science & Medicine, Elsevier, vol. 59(12), pages 2459-2466, December.
    6. Laurie Brown & Ann Harding, 2002. "Social Modelling and Public Policy: Application of Microsimulation Modelling in Australia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-6.
    7. repec:dau:papers:123456789/3881 is not listed on IDEAS
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    Cited by:

    1. Mielczarek, Bożena & Zabawa, Jacek, 2021. "Modelling demographic changes using simulation: Supportive analyses for socioeconomic studies," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    2. Lay-Yee, Roy & Milne, Barry & Davis, Peter & Pearson, Janet & McLay, Jessica, 2015. "Determinants and disparities: A simulation approach to the case of child health care," Social Science & Medicine, Elsevier, vol. 128(C), pages 202-211.
    3. Oliver Mannion & Roy Lay-Yee & Wendy Wrapson & Peter Davis & Janet Pearson, 2012. "JAMSIM: a Microsimulation Modelling Policy Tool," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-8.

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