"Modelling Usage and Cost of NSW Hospitals - An Overview"

Linc Thurecht

    Research output: Contribution to conference (non-published works)Paper

    Abstract

    This paper provides an overview of a socioeconomic model of hospital
    users in New South Wales developed as part of a three year Australia Research
    Council grant. The model is based on four years of separations from both public and
    private hospitals, including New South Wales residents treated outside of the state. A
    unique patient ID is attached to each separation enabling related hospital separations
    to be attributed to the same (anonymous) patient. A unique measure of
    socioeconomic status is then imputed for each patient based on the empirical
    distribution of equivalent family income on census night of a person living in the same
    geographic area and of the same sex and age. Costs are also calculated for each
    separation enabling the total patient cost of treatment to be identified, including inter
    alia average costs of treatment by socioeconomic status, type of hospital or disease.
    Spatial analysis can be performed at levels as low as an average of 200 households.
    A model of private health insurance (PHI) is also created to estimate the likelihood that
    a given individual will purchase PHI, and given the need to attend hospital, whether
    they will choose a public or private hospital. A facility is also developed that enables
    projected patient numbers and associated costs to be estimated.
    Original languageEnglish
    Number of pages10
    Publication statusPublished - 2003
    EventInternational Conference on Population, Ageing and Health: modelling our future - Canberra, Australia
    Duration: 7 Dec 200312 Dec 2003

    Conference

    ConferenceInternational Conference on Population, Ageing and Health: modelling our future
    CountryAustralia
    CityCanberra
    Period7/12/0312/12/03

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    Cite this

    Thurecht, L. (2003). "Modelling Usage and Cost of NSW Hospitals - An Overview". Paper presented at International Conference on Population, Ageing and Health: modelling our future, Canberra, Australia.