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A simple graphical decision aid for the placement of elderly people in long-term care

Author

Listed:
  • H Xie

    (University of Westminster)

  • T J Chaussalet

    (University of Westminster)

  • W A Thompson

    (Cranfield University, Shrivenham, Wilts)

  • P H Millard

    (University of Westminster)

Abstract

This paper describes the construction of a graphical decision tool to aid placement decisions of a multidisciplinary review panel for admissions to long-term care in a London borough in the UK. First we construct a prediction model of placement decisions based on an applicant's attributes. Using data from the London borough, a composite model comprising syndromic decision rules followed by a two-stage hierarchical logistic regression model is proposed. The model proved to be robust in differentiating cases needing residential home care and nursing home care. Placement outcomes generated by the model are then represented graphically on a triangle plot. This approach could potentially be used as a decision support tool by managers of long-term care for continuous monitoring and assessment of the appropriateness of placements with respect to residents’ needs.

Suggested Citation

  • H Xie & T J Chaussalet & W A Thompson & P H Millard, 2007. "A simple graphical decision aid for the placement of elderly people in long-term care," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 446-453, April.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:4:d:10.1057_palgrave.jors.2602179
    DOI: 10.1057/palgrave.jors.2602179
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    References listed on IDEAS

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    1. H. Xie & T. J. Chaussalet & P. H. Millard, 2005. "A continuous time Markov model for the length of stay of elderly people in institutional long‐term care," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 51-61, January.
    2. C Pelletier & T J Chaussalet & H Xie, 2005. "A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 144-152, February.
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