Research article Special Issues

How Modelling could Contribute to Reforming Primary Care—Tweaking “the Ecology of Medical Care” in Australia

  • Received: 28 August 2016 Accepted: 18 October 2016 Published: 29 October 2016
  • Background: The Australian Ecology of Medical Care indicates that 255/1,000 Australians consult a GP 1.8 times/month (466 consultations/month) resulting in 42 specialist, 1.4 ED and 1.9 hospital referrals, 478 prescriptions, 220 pathology and 48 radiology tests, costing the Government $ 72,009 (2012–13). Government believes this to be unsustainable and controllable by setting price signals. Objectives: To investigate the impact of ‘small changes’ to health service utilisation and/or resource use. Method: Modelling the impact of increases and decreases to healthcare utilisation/resource use over a 5-year period. Results: Strategies targeting only one variable had a small and linear impact on healthcare expenditure (± 0.6–7.2%); combining changes had an exponential effect, achieving an up to 15% reduction or an over 20% rise in expenditure. Discussion: Change invariably results in trade-offs; modelling is a tool that can provide a basis to engage in shared discussions about the ‘yes, but/yes, and’ considerations of reform propositions

    Citation: Joachim P Sturmberg, Geoff M McDonnell. How Modelling could Contribute to Reforming Primary Care—Tweaking “the Ecology of Medical Care” in Australia[J]. AIMS Medical Science, 2016, 3(3): 298-311. doi: 10.3934/medsci.2016.3.298

    Related Papers:

  • Background: The Australian Ecology of Medical Care indicates that 255/1,000 Australians consult a GP 1.8 times/month (466 consultations/month) resulting in 42 specialist, 1.4 ED and 1.9 hospital referrals, 478 prescriptions, 220 pathology and 48 radiology tests, costing the Government $ 72,009 (2012–13). Government believes this to be unsustainable and controllable by setting price signals. Objectives: To investigate the impact of ‘small changes’ to health service utilisation and/or resource use. Method: Modelling the impact of increases and decreases to healthcare utilisation/resource use over a 5-year period. Results: Strategies targeting only one variable had a small and linear impact on healthcare expenditure (± 0.6–7.2%); combining changes had an exponential effect, achieving an up to 15% reduction or an over 20% rise in expenditure. Discussion: Change invariably results in trade-offs; modelling is a tool that can provide a basis to engage in shared discussions about the ‘yes, but/yes, and’ considerations of reform propositions


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