Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage

[Display omitted] To use Multi-Criteria Decision Analysis (MCDA) to determine weights for eleven criteria in order to prioritize COVID-19 non-critical patients for admission to hospital in healthcare settings with limited resources. The MCDA was applied in two main steps: specification of criteria f...

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Published in:	International journal of infectious diseases Vol. 98; pp. 494 - 500
Main Authors:	De Nardo, Pasquale, Gentilotti, Elisa, Mazzaferri, Fulvia, Cremonini, Eleonora, Hansen, Paul, Goossens, Herman, Tacconelli, Evelina, Durante Mangoni, E., Florio, L.L., Zampino, R., Mele, F., Gentile, I., Pinchera, B., Coppola, N., Pisaturo, M., Luzzati, R., Petrosillo, N., Nicastri, E., Corpolongo, A., Cataldo, M.A., D’Abramo, A., Maffongelli, G., Scorzolini, L., Palazzolo, C., Boumis, E., Pan, A., D’Arminio Monforte, A., Bai, F., Antinori, S., De Rosa, F.G., Corcione, S., Lupia, T., Pinna, S.M., Scabini, S., Canta, F., Belloro, S., Bisoffi, Z., Angheben, A., Gobbi, F., Turcato, E., Ronzoni, N., Moro, L., Calabria, S., Rodari, P., Bertoli, G., Marasca, G., Puoti, M., Gori, A., Bandera, A., Mangioni, D., Rizzi, M., Castelli, F., Montineri, A., Coco, C.A., Maresca, M., Frasca, M., Aquilini, D., Vincenzi, M., Lambertenghi, L., De Rui, M.E., Razzaboni, E., Cattaneo, P., Visentin, A., Erbogasto, A., Dalla Vecchia, I., Coledan, I., Vecchi, M., Be, G., Motta, L., Zaffagnini, A., Auerbach, N., Del Bravo, P., Azzini, A.M., Righi, E., Carrara, E., Savoldi, A., Sibani, M., Lattuada, E., Carolo, G., Cordioli, M., Soldani, F., Pezzani, M.D., Avallone, S., Bruno, R., Ricciardi, A., Saggese, M.P., Malerba, G.
Format:	Journal Article
Language:	English
Published:	Canada Elsevier Ltd 01-09-2020 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases Elsevier
Subjects:	Adolescent Adult Aged Aged, 80 and over Betacoronavirus - genetics Betacoronavirus - physiology Coronavirus Infections - diagnosis Coronavirus Infections - therapy Coronavirus Infections - virology COVID-19 Decision Support Techniques Female Hospital Bed Capacity - statistics & numerical data Hospitalization - statistics & numerical data Humans Male Middle Aged Multi-Criteria Decision Analysis Pandemic Pandemics Patient Admission - statistics & numerical data Pneumonia, Viral - diagnosis Pneumonia, Viral - therapy Pneumonia, Viral - virology SARS CoV-2 Young Adult COVID-19 Pandemic Multi-Criteria Decision Analysis SARS CoV-2
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Summary:	[Display omitted] To use Multi-Criteria Decision Analysis (MCDA) to determine weights for eleven criteria in order to prioritize COVID-19 non-critical patients for admission to hospital in healthcare settings with limited resources. The MCDA was applied in two main steps: specification of criteria for prioritizing COVID-19 patients (and levels within each criterion); and determination of weights for the criteria based on experts’ knowledge and experience in managing COVID-19 patients, via an online survey. Criteria were selected based on available COVID-19 evidence with a focus on low- and middle-income countries (LMICs). The most important criteria (mean weights, summing to 100%) are: PaO2 (16.3%); peripheral O2 saturation (15.9%); chest X-ray (14.1%); Modified Early Warning Score-MEWS (11.4%); respiratory rate (9.5%); comorbidities (6.5%); living with vulnerable people (6.4%); body mass index (5.6%); duration of symptoms before hospital evaluation (5.4%); CRP (5.1%); and age (3.8%). At the beginning of a new pandemic, when evidence for disease predictors is limited or unavailable and effective national contingency plans are difficult to establish, the MCDA prioritization model could play a pivotal role in improving the response of health systems.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Contributed equally. The members of the COVID-19 MCDA Group are listed in Appendix A.
ISSN:	1201-9712 1878-3511
DOI:	10.1016/j.ijid.2020.06.082