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Modelling changes in healthcare demand through geographic data extrapolation.

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The Stay Well Plans program for elderly care may reduce residential care demand but increase community care demand. This study models the impact of a Gwent-wide rollout on healthcare services.

Keywords:
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Area of Science:

  • Health Services Research
  • Gerontology
  • Public Health Policy

Background:

  • Frail and elderly populations require tailored care programs.
  • The Stay Well Plans initiative was established to support this demographic.
  • A planned expansion across five counties necessitated impact assessment.

Purpose of the Study:

  • To analyze and model the effects of the Stay Well Plans program.
  • To predict the impact of a Gwent-wide rollout on healthcare demand.
  • To evaluate the program's influence on residential and community care services.

Main Methods:

  • Extrapolation of data from a geographical subset to a larger area.
  • Adjustment for population size, deprivation, and healthcare facility proximity.
  • Parametrization of a Markov model and Monte Carlo simulation for demand prediction.

Main Results:

  • A potential significant reduction in demand for residential care services.
  • An anticipated increase in demand for community care services.
  • Quantification of predicted demand shifts based on rollout levels.

Conclusions:

  • The Stay Well Plans program shows promise in reducing residential care burden.
  • The program may shift demand towards, rather than reduce, overall community care needs.
  • Strategic planning is essential to manage the redistribution of care demands.