Elsevier

Omega

Volume 9, Issue 5, 1981, Pages 509-518
Omega

Main paper
DRAM: a model of health care resource allocation in czechoslovakia

https://doi.org/10.1016/0305-0483(81)90007-4Get rights and content

Abstract

This paper presents an application to data from Czechoslovakia of a health care resource allocation model called DRAM (Disaggregated Resource Allocation Model). DRAM was developed by the health care systems modelling group at the International Institute for Applied Systems Analysis (IIASA). It attempts to predict the consequences of resource-level changes, in terms of the numbers of patients treated in each clinical category and the quality of care they receive in each mode of treatment. In this application, seven acute clinical categories and two types of resources (hospital doctors and hospital beds) are selected for examination in one mode of treatment—in-patient care. Some parallels are drawn with a comparable application in the UK.

References (10)

  • P Aspden et al.

    The IIASA health care resource allocation submodel: WP-80-53

  • RJ Gibbs

    The IIASA health care resource allocation submodel: Mark 1

    (1978)
  • DJ Hughes et al.

    DRAM: a model of health care resources

    (1980)
  • JM Rousseau et al.

    A model to assist planning the provision of hospital services

    (1980)
  • P Aspden

    The IIASA health care resource allocation submodel: DRAM calibration for data from the South West Health Region, UK

    (1980)
There are more references available in the full text version of this article.

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