PMID- 36901601 OWN - NLM STAT- MEDLINE DCOM- 20230314 LR - 20230320 IS - 1660-4601 (Electronic) IS - 1661-7827 (Print) IS - 1660-4601 (Linking) VI - 20 IP - 5 DP - 2023 Mar 5 TI - A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak. LID - 10.3390/ijerph20054591 [doi] LID - 4591 AB - The use of emergency departments (EDs) has increased during the COVID-19 outbreak, thereby evidencing the key role of these units in the overall response of healthcare systems to the current pandemic scenario. Nevertheless, several disruptions have emerged in the practical scenario including low throughput, overcrowding, and extended waiting times. Therefore, there is a need to develop strategies for upgrading the response of these units against the current pandemic. Given the above, this paper presents a hybrid fuzzy multicriteria decision-making model (MCDM) to evaluate the performance of EDs and create focused improvement interventions. First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique is used to estimate the relative priorities of criteria and sub-criteria considering uncertainty. Then, the intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) is employed to calculate the interdependence and feedback between criteria and sub-criteria under uncertainty, Finally, the combined compromise solution (CoCoSo) is implemented to rank the EDs and detect their weaknesses to device suitable improvement plans. The aforementioned methodology was validated in three emergency centers in Turkey. The results revealed that the most important criterion in ED performance was ER facilities (14.4%), while Procedures and protocols evidenced the highest positive D + R value (18.239) among the dispatchers and is therefore deemed as the main generator within the performance network. FAU - Ortiz-Barrios, Miguel AU - Ortiz-Barrios M AD - Department of Productivity and Innovation, Universidad de la Costa CUC, Barranquilla 081001, Colombia. FAU - Jaramillo-Rueda, Natalia AU - Jaramillo-Rueda N AD - Department of Productivity and Innovation, Universidad de la Costa CUC, Barranquilla 081001, Colombia. FAU - Gul, Muhammet AU - Gul M AUID- ORCID: 0000-0002-5319-4289 AD - School of Transportation and Logistics, Istanbul University, Istanbul 34320, Turkey. FAU - Yucesan, Melih AU - Yucesan M AUID- ORCID: 0000-0001-6148-4959 AD - Department of Emergency Aid and Disaster Management, Munzur University, Tunceli 62000, Turkey. FAU - Jimenez-Delgado, Genett AU - Jimenez-Delgado G AUID- ORCID: 0000-0003-1016-5805 AD - Department of Industrial Engineering, Institucion Universitaria de Barranquilla IUB, Barranquilla 080002, Colombia. FAU - Alfaro-Saiz, Juan-Jose AU - Alfaro-Saiz JJ AUID- ORCID: 0000-0003-2587-6853 AD - Research Centre on Production Management and Engineering, Universitat Politecnica de Valencia, 46022 Valencia, Spain. LA - eng PT - Journal Article DEP - 20230305 PL - Switzerland TA - Int J Environ Res Public Health JT - International journal of environmental research and public health JID - 101238455 SB - IM MH - Humans MH - *Decision Making MH - Fuzzy Logic MH - *COVID-19 MH - Uncertainty MH - Turkey PMC - PMC10001734 OTO - NOTNLM OT - combined compromise solution (CoCoSo) OT - emergency departments (EDs) OT - intuitionistic fuzzy analytic hierarchy process (IF-AHP) OT - intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) OT - performance evaluation COIS- The authors declare no conflict of interest. EDAT- 2023/03/12 06:00 MHDA- 2023/03/15 06:00 PMCR- 2023/03/05 CRDT- 2023/03/11 01:14 PHST- 2023/01/09 00:00 [received] PHST- 2023/02/15 00:00 [revised] PHST- 2023/02/28 00:00 [accepted] PHST- 2023/03/11 01:14 [entrez] PHST- 2023/03/12 06:00 [pubmed] PHST- 2023/03/15 06:00 [medline] PHST- 2023/03/05 00:00 [pmc-release] AID - ijerph20054591 [pii] AID - ijerph-20-04591 [pii] AID - 10.3390/ijerph20054591 [doi] PST - epublish SO - Int J Environ Res Public Health. 2023 Mar 5;20(5):4591. doi: 10.3390/ijerph20054591.