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Methodology to Support the Triage of Suspected COVID-19 Patients in Resource-Limited Circumstances

Author

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  • Alexandre Ramalho Alberti

    (Universidade Federal de Pernambuco, Brazil)

  • Eduarda Asfora Frej

    (Universidade Federal de Pernambuco, Brazil)

  • Lucia Reis Peixoto Roselli

    (Universidade Federal de Pernambuco, Brazil)

  • Murilo Amorim Britto

    (Instituto de Medicina Integral Professor Fernando Figueira, Brazil)

  • Evônio Campelo

    (Hospital das Clínicas, Universidade Federal de Pernambuco, Brazil)

  • Adiel Teixeira de Almeida

    (Universidade Federal de Pernambuco, Brazil)

  • Rodrigo José Pires Ferreira

    (Universidade Federal de Pernambuco, Brazil)

Abstract

COVID-19 pandemic has put health systems worldwide under pressure. Thus, establish a triage protocol to support the allocation of resources is important to deal with this public health crisis. In this paper, a structured methodology to support the triage of suspected or confirmed COVID-19 patients has been proposed, based on the utilitarian principle. A decision model has been proposed for evaluating three treatment alternatives: intensive care, hospital stay and home isolation. The model is developed according to multi-attribute utility theory and considers two criteria: the life of the patient and the overall cost to the health system. A screening protocol is proposed to support the use of the decision model, and a method is presented for calculating the probability of which of three treatment is the best one. The proposed methodology was implemented in an information and decision system. The originality of this study is using of the multi-attribute utility theory to support the triage of suspected COVID-19 and implement the decision model in an information and decision system.

Suggested Citation

  • Alexandre Ramalho Alberti & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli & Murilo Amorim Britto & Evônio Campelo & Adiel Teixeira de Almeida & Rodrigo José Pires Ferreira, 2022. "Methodology to Support the Triage of Suspected COVID-19 Patients in Resource-Limited Circumstances," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 14(1), pages 1-21, January.
    • Handle: RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-21
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