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A Demand-Oriented Approach to Health Care Capacity Planning

Author

Listed:
  • Wende, Danny

    (Dresden University of Technology)

  • Kopetsch, Thomas

    (affiliation not available)

  • Richter, Wolfram F.

    (TU Dortmund)

Abstract

The planning practice of health care capacities suffers from sectoral and regional constraints and it remains difficult to ensure an equal access for patients. Moreover, standard planning approaches lack the choice-theoretic grounding necessary for making reliable predictions of the demand and competition for supplied care. This paper presents a general equilibrium model designed to overcome such shortcomings. The derived metric of access to care is demand-oriented measuring the time patients waste seeking treatment. It contrasts with the usual metrics based on the floating catchment area (FCA) method, which suffer from supply bias and ad hoc specification. The approach is illustrated using Germany as an example. Much in line with official planning figures, overcapacities are shown to exist in all specialities. However, a closer look at the data provides a differentiated picture. Overcapacities are typical for urban regions and they go hand in hand with supply deficits in rural areas, albeit to a specialty-specific extent. In smaller towns, the supply is more in line with demand.

Suggested Citation

  • Wende, Danny & Kopetsch, Thomas & Richter, Wolfram F., 2021. "A Demand-Oriented Approach to Health Care Capacity Planning," IZA Discussion Papers 14860, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14860
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    References listed on IDEAS

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    JEL classification:

    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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