Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage
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...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-09-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971220305166 |
| _version_ | 1818257180202106880 |
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| author | Pasquale De Nardo Elisa Gentilotti Fulvia Mazzaferri Eleonora Cremonini Paul Hansen Herman Goossens Evelina Tacconelli E. Durante Mangoni L.L. Florio R. Zampino F. Mele I. Gentile B. Pinchera N. Coppola M. Pisaturo R. Luzzati N. Petrosillo E. Nicastri A. Corpolongo M.A. Cataldo A. D’Abramo G. Maffongelli L. Scorzolini C. Palazzolo E. Boumis A. Pan A. D’Arminio Monforte F. Bai S. Antinori F.G. De Rosa S. Corcione T. Lupia S.M. Pinna S. Scabini F. Canta S. Belloro Z. Bisoffi A. Angheben F. Gobbi E. Turcato N. Ronzoni L. Moro S. Calabria P. Rodari G. Bertoli G. Marasca M. Puoti A. Gori A. Bandera D. Mangioni M. Rizzi F. Castelli A. Montineri C.A. Coco M. Maresca M. Frasca D. Aquilini M. Vincenzi L. Lambertenghi M.E. De Rui E. Razzaboni P. Cattaneo A. Visentin A. Erbogasto I. Dalla Vecchia I. Coledan M. Vecchi G. Be L. Motta A. Zaffagnini N. Auerbach P. Del Bravo A.M. Azzini E. Righi E. Carrara A. Savoldi M. Sibani E. Lattuada G. Carolo M. Cordioli F. Soldani M.D. Pezzani S. Avallone R. Bruno A. Ricciardi M.P. Saggese G. Malerba |
| author_facet | Pasquale De Nardo Elisa Gentilotti Fulvia Mazzaferri Eleonora Cremonini Paul Hansen Herman Goossens Evelina Tacconelli E. Durante Mangoni L.L. Florio R. Zampino F. Mele I. Gentile B. Pinchera N. Coppola M. Pisaturo R. Luzzati N. Petrosillo E. Nicastri A. Corpolongo M.A. Cataldo A. D’Abramo G. Maffongelli L. Scorzolini C. Palazzolo E. Boumis A. Pan A. D’Arminio Monforte F. Bai S. Antinori F.G. De Rosa S. Corcione T. Lupia S.M. Pinna S. Scabini F. Canta S. Belloro Z. Bisoffi A. Angheben F. Gobbi E. Turcato N. Ronzoni L. Moro S. Calabria P. Rodari G. Bertoli G. Marasca M. Puoti A. Gori A. Bandera D. Mangioni M. Rizzi F. Castelli A. Montineri C.A. Coco M. Maresca M. Frasca D. Aquilini M. Vincenzi L. Lambertenghi M.E. De Rui E. Razzaboni P. Cattaneo A. Visentin A. Erbogasto I. Dalla Vecchia I. Coledan M. Vecchi G. Be L. Motta A. Zaffagnini N. Auerbach P. Del Bravo A.M. Azzini E. Righi E. Carrara A. Savoldi M. Sibani E. Lattuada G. Carolo M. Cordioli F. Soldani M.D. Pezzani S. Avallone R. Bruno A. Ricciardi M.P. Saggese G. Malerba |
| author_sort | Pasquale De Nardo |
| collection | DOAJ |
| description | 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 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%). 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. |
| first_indexed | 2024-12-12T17:39:33Z |
| format | Article |
| id | doaj.art-242ab2e53b66490485d7cddaf276a420 |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-12T17:39:33Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-242ab2e53b66490485d7cddaf276a4202022-12-22T00:17:07ZengElsevierInternational Journal of Infectious Diseases1201-97122020-09-0198494500Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortagePasquale De Nardo0Elisa Gentilotti1Fulvia Mazzaferri2Eleonora Cremonini3Paul Hansen4Herman Goossens5Evelina Tacconelli6E. Durante MangoniL.L. FlorioR. ZampinoF. MeleI. GentileB. PincheraN. CoppolaM. PisaturoR. LuzzatiN. PetrosilloE. NicastriA. CorpolongoM.A. CataldoA. D’AbramoG. MaffongelliL. ScorzoliniC. PalazzoloE. BoumisA. PanA. D’Arminio MonforteF. BaiS. AntinoriF.G. De RosaS. CorcioneT. LupiaS.M. PinnaS. ScabiniF. CantaS. BelloroZ. BisoffiA. AnghebenF. GobbiE. TurcatoN. RonzoniL. MoroS. CalabriaP. RodariG. BertoliG. MarascaM. PuotiA. GoriA. BanderaD. MangioniM. RizziF. CastelliA. MontineriC.A. CocoM. MarescaM. FrascaD. AquiliniM. VincenziL. LambertenghiM.E. De RuiE. RazzaboniP. CattaneoA. VisentinA. ErbogastoI. Dalla VecchiaI. ColedanM. VecchiG. BeL. MottaA. ZaffagniniN. AuerbachP. Del BravoA.M. AzziniE. RighiE. CarraraA. SavoldiM. SibaniE. LattuadaG. CaroloM. CordioliF. SoldaniM.D. PezzaniS. AvalloneR. BrunoA. RicciardiM.P. SaggeseG. MalerbaDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Italy; Corresponding author at: Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Piazzale L.A. Scuro, 37134 Verona, Italy.Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, ItalyDivision of Infectious Diseases, Department of Medicine, Verona University Hospital, Verona, ItalyDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, ItalyDepartment of Economics, University of Otago, Dunedin, New ZealandLaboratory of Medical Microbiology, Vaccine and Infectious Diseases Institute, University of Antwerp, Antwerp, BelgiumDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, ItalyObjective: 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 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%). 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.http://www.sciencedirect.com/science/article/pii/S1201971220305166SARS CoV-2COVID-19Multi-Criteria Decision AnalysisPandemic |
| spellingShingle | Pasquale De Nardo Elisa Gentilotti Fulvia Mazzaferri Eleonora Cremonini Paul Hansen Herman Goossens Evelina Tacconelli E. Durante Mangoni L.L. Florio R. Zampino F. Mele I. Gentile B. Pinchera N. Coppola M. Pisaturo R. Luzzati N. Petrosillo E. Nicastri A. Corpolongo M.A. Cataldo A. D’Abramo G. Maffongelli L. Scorzolini C. Palazzolo E. Boumis A. Pan A. D’Arminio Monforte F. Bai S. Antinori F.G. De Rosa S. Corcione T. Lupia S.M. Pinna S. Scabini F. Canta S. Belloro Z. Bisoffi A. Angheben F. Gobbi E. Turcato N. Ronzoni L. Moro S. Calabria P. Rodari G. Bertoli G. Marasca M. Puoti A. Gori A. Bandera D. Mangioni M. Rizzi F. Castelli A. Montineri C.A. Coco M. Maresca M. Frasca D. Aquilini M. Vincenzi L. Lambertenghi M.E. De Rui E. Razzaboni P. Cattaneo A. Visentin A. Erbogasto I. Dalla Vecchia I. Coledan M. Vecchi G. Be L. Motta A. Zaffagnini N. Auerbach P. Del Bravo A.M. Azzini E. Righi E. Carrara A. Savoldi M. Sibani E. Lattuada G. Carolo M. Cordioli F. Soldani M.D. Pezzani S. Avallone R. Bruno A. Ricciardi M.P. Saggese G. Malerba Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage International Journal of Infectious Diseases SARS CoV-2 COVID-19 Multi-Criteria Decision Analysis Pandemic |
| title | Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage |
| title_full | Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage |
| title_fullStr | Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage |
| title_full_unstemmed | Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage |
| title_short | Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage |
| title_sort | multi criteria decision analysis to prioritize hospital admission of patients affected by covid 19 in low resource settings with hospital bed shortage |
| topic | SARS CoV-2 COVID-19 Multi-Criteria Decision Analysis Pandemic |
| url | http://www.sciencedirect.com/science/article/pii/S1201971220305166 |
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