IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4591-d1088100.html
   My bibliography  Save this article

A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak

Author

Listed:
  • Miguel Ortíz-Barrios

    (Department of Productivity and Innovation, Universidad de la Costa CUC, Barranquilla 081001, Colombia)

  • Natalia Jaramillo-Rueda

    (Department of Productivity and Innovation, Universidad de la Costa CUC, Barranquilla 081001, Colombia)

  • Muhammet Gul

    (School of Transportation and Logistics, Istanbul University, Istanbul 34320, Turkey)

  • Melih Yucesan

    (Department of Emergency Aid and Disaster Management, Munzur University, Tunceli 62000, Turkey)

  • Genett Jiménez-Delgado

    (Department of Industrial Engineering, Institución Universitaria de Barranquilla IUB, Barranquilla 080002, Colombia)

  • Juan-José Alfaro-Saíz

    (Research Centre on Production Management and Engineering, Universitat Politècnica de València, 46022 Valencia, Spain)

Abstract

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.

Suggested Citation

  • Miguel Ortíz-Barrios & Natalia Jaramillo-Rueda & Muhammet Gul & Melih Yucesan & Genett Jiménez-Delgado & Juan-José Alfaro-Saíz, 2023. "A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak," IJERPH, MDPI, vol. 20(5), pages 1-39, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4591-:d:1088100
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4591/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/4591/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aiman Suleiman & Isam Bsisu & Hasan Guzu & Abeer Santarisi & Murad Alsatari & Ala’ Abbad & Ahmad Jaber & Taima’a Harb & Ahmad Abuhejleh & Nisreen Nadi & Abdelkarim Aloweidi & Mahmoud Almustafa, 2020. "Preparedness of Frontline Doctors in Jordan Healthcare Facilities to COVID-19 Outbreak," IJERPH, MDPI, vol. 17(9), pages 1-11, May.
    2. Diego Delgado & Fernando Wyss Quintana & Gonzalo Perez & Alvaro Sosa Liprandi & Carlos Ponte-Negretti & Ivan Mendoza & Adrian Baranchuk, 2020. "Personal Safety during the COVID-19 Pandemic: Realities and Perspectives of Healthcare Workers in Latin America," IJERPH, MDPI, vol. 17(8), pages 1-8, April.
    3. Torkayesh, Ali Ebadi & Pamucar, Dragan & Ecer, Fatih & Chatterjee, Prasenjit, 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    4. Miguel Angel Ortíz-Barrios & Matias Garcia-Constantino & Chris Nugent & Isaac Alfaro-Sarmiento, 2022. "A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia," IJERPH, MDPI, vol. 19(3), pages 1-31, January.
    5. Marta Łukasik & Anna Porębska, 2022. "Responsiveness and Adaptability of Healthcare Facilities in Emergency Scenarios: COVID-19 Experience," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
    6. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Ping Zhang, 2018. "DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-33, January.
    7. Lioutas, Evagelos D. & Charatsari, Chrysanthi, 2021. "Enhancing the ability of agriculture to cope with major crises or disasters: What the experience of COVID-19 teaches us," Agricultural Systems, Elsevier, vol. 187(C).
    8. Ocampo, Lanndon & Yamagishi, Kafferine, 2020. "Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    9. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    10. Juliet Orji, Ifeyinwa & Ojadi, Frank & Kalu Okwara, Ukoha, 2022. "The nexus between e-commerce adoption in a health pandemic and firm performance: The role of pandemic response strategies," Journal of Business Research, Elsevier, vol. 145(C), pages 616-635.
    11. Javier Fiallos & Jonathan Patrick & Wojtek Michalowski & Ken Farion, 2017. "Using data envelopment analysis for assessing the performance of pediatric emergency department physicians," Health Care Management Science, Springer, vol. 20(1), pages 129-140, March.
    12. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    13. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    14. Muhammet Gul & Melih Yucesan, 2021. "Hospital Preparedness Assessment against COVID-19 Pandemic: A Case Study in Turkish Tertiary Healthcare Services," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.
    2. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    3. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    4. Lin, Sheng-Hau & Huang, Xianjin & Fu, Guole & Chen, Jia-Tsong & Zhao, Xiaofeng & Li, Jia-Hsuan & Tzeng, Gwo-Hshiung, 2021. "Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making," Land Use Policy, Elsevier, vol. 108(C).
    5. Tsai, Pei-Hsuan & Kao, Ya-Ling & Kuo, Szu-Yu, 2023. "Exploring the critical factors influencing the outlying island talent recruitment and selection evaluation model: Empirical evidence from Penghu, Taiwan," Evaluation and Program Planning, Elsevier, vol. 99(C).
    6. Gardziejczyk, Wladyslaw & Zabicki, Piotr, 2014. "The influence of the scenario and assessment method on the choice of road alignment variants," Transport Policy, Elsevier, vol. 36(C), pages 294-305.
    7. Xiaoliang Wang & Danlin Yu & Chunhua Yuan, 2021. "Complementary Development between China and Sub-Sahara Africa: Examining China’s Mining Investment Strategies in Africa," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    8. Cui, Yongfeng & Liu, Wei & Rani, Pratibha & Alrasheedi, Melfi, 2021. "Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    9. Jung-Jung Chang & Chia-Li Lin, 2023. "Determining the Sustainable Development Strategies and Adoption Paths for Public Bike-Sharing Service Systems (PBSSSs) under Various Users’ Considerations," Mathematics, MDPI, vol. 11(5), pages 1-30, February.
    10. Chih-Hung Hsu & Xu He & Ting-Yi Zhang & An-Yuan Chang & Wan-Ling Liu & Zhi-Qiang Lin, 2022. "Enhancing Supply Chain Agility with Industry 4.0 Enablers to Mitigate Ripple Effects Based on Integrated QFD-MCDM: An Empirical Study of New Energy Materials Manufacturers," Mathematics, MDPI, vol. 10(10), pages 1-35, May.
    11. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    12. Elzbieta Broniewicz & Karolina Ogrodnik, 2021. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport," Energies, MDPI, vol. 14(16), pages 1-23, August.
    13. Seyed Hossein Razavi Hajiagha & Jalil Heidary-Dahooie & Ieva Meidutė-Kavaliauskienė & Kannan Govindan, 2022. "A new dynamic multi-attribute decision making method based on Markov chain and linear assignment," Annals of Operations Research, Springer, vol. 315(1), pages 159-191, August.
    14. Nien-Ping Chen & Kao-Yi Shen & Chiung-Ju Liang, 2021. "Hybrid Decision Model for Evaluating Blockchain Business Strategy: A Bank’s Perspective," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    15. Lin, Sheng-Hau & Zhang, Hejie & Li, Jia-Hsuan & Ye, Cheng-Zhou & Hsieh, Jing-Chzi, 2022. "Evaluating smart office buildings from a sustainability perspective: A model of hybrid multi-attribute decision-making," Technology in Society, Elsevier, vol. 68(C).
    16. Halit Serdar Saner & Melih Yucesan & Muhammet Gul, 2022. "A Bayesian BWM and VIKOR-based model for assessing hospital preparedness in the face of disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1603-1635, March.
    17. Khorasani, Mahnaz & Sarker, Sudipa & Kabir, Golam & Ali, Syed Mithun, 2022. "Evaluating strategies to decarbonize oil and gas supply chain: Implications for energy policies in emerging economies," Energy, Elsevier, vol. 258(C).
    18. Mahmud, Priom & Ahmed, Mushaer & Janan, Farhatul & Xames, Md Doulotuzzaman & Chowdhury, Naimur Rahman, 2023. "Strategies to develop a sustainable and resilient vaccine supply chain in the context of a developing economy," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    19. Haolun Wang, 2022. "Sustainable Circular Supplier Selection in the Power Battery Industry Using a Linguistic T-Spherical Fuzzy MAGDM Model Based on the Improved ARAS Method," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    20. Selerio, Egberto & Caladcad, June Anne & Catamco, Mary Rose & Capinpin, Esehl May & Ocampo, Lanndon, 2022. "Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4591-:d:1088100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.