De Nardo, Pasquale
Gentilott, Elisa
Mazzaferri, Fulvia
Cremonini, Eleonora
Hansen, Paul
Goossens, Herman
Tacconelli, Evelina
2020-07-17T16:03:39Z
2020-07-17T16:03:39Z
2020
https://doi.org/10.1016/j.ijid.2020.06.082
http://hdl.handle.net/20.500.12010/10749
Objective: 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.
Methods: 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).
Results: 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 ScoreMEWS (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%).
Conclusions: 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.
22 páginas
application/pdf
Science Direct
reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
SARS CoV-2
COVID-19
Multi-Criteria Decision Analysis
Pandemic
Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage
Artículo
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
https://doi.org/10.1016/j.ijid.2020.06.082