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A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study

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A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study. / Ortíz‐Barrios, Miguel; Gutiérrez‐Severiche, Edward; Cómbita‐Niño, Dayana; Jiménez‐Delgado, Genett; Ishizaka, Alessio; Barbati, Maria; Herrera‐Fontalvo, Zulmeira.

In: International Transactions in Operational Research, 12.02.2021.

Research output: Contribution to journalArticlepeer-review

Harvard

Ortíz‐Barrios, M, Gutiérrez‐Severiche, E, Cómbita‐Niño, D, Jiménez‐Delgado, G, Ishizaka, A, Barbati, M & Herrera‐Fontalvo, Z 2021, 'A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study', International Transactions in Operational Research. https://doi.org/10.1111/itor.12946

APA

Ortíz‐Barrios, M., Gutiérrez‐Severiche, E., Cómbita‐Niño, D., Jiménez‐Delgado, G., Ishizaka, A., Barbati, M., & Herrera‐Fontalvo, Z. (2021). A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study. International Transactions in Operational Research. https://doi.org/10.1111/itor.12946

Vancouver

Ortíz‐Barrios M, Gutiérrez‐Severiche E, Cómbita‐Niño D, Jiménez‐Delgado G, Ishizaka A, Barbati M et al. A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study. International Transactions in Operational Research. 2021 Feb 12. https://doi.org/10.1111/itor.12946

Author

Ortíz‐Barrios, Miguel ; Gutiérrez‐Severiche, Edward ; Cómbita‐Niño, Dayana ; Jiménez‐Delgado, Genett ; Ishizaka, Alessio ; Barbati, Maria ; Herrera‐Fontalvo, Zulmeira. / A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study. In: International Transactions in Operational Research. 2021.

Bibtex

@article{cf9e5c87662941c59415da0d71e3ae0e,
title = "A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study",
abstract = "Gynecobstetrics departments (GDs) oversee diagnosing, monitoring, and treating female reproductive diseases as well as assisting women during pregnancy. Their importance motivates the creation of suitable performance evaluation approaches for identifying weaknesses and designing focused interventions. Therefore, the aim of this paper is twofold: (a) provide an approach for GD performance evaluation and (b) propose interventions tackling the GDs{\textquoteright} weaknesses. The fuzzy analytic hierarchy process (FAHP) was first applied to calculate the initial criteria and subcriteria weights under vagueness. Then, the decision‐making trial and evaluation laboratory (DEMATEL) was implemented to evaluate interrelations. FAHP and DEMATEL were later combined to estimate the final criteria and subcriteria weights under vagueness and interdependency. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was used to rank the GDs and detect improvement opportunities. A case study of a cluster including three GDs is presented to validate the proposed approach. The results evidenced that patient safety and service quality are the most critical aspects in GD performance evaluation. The results from this application can be used by healthcare managers for designing focused interventions targeting improved performance of GDs. This paper fully exploits the advantages of FAHP, DEMATEL, and TOPSIS methods for evaluating performances of GDs. Furthermore, this study presents a novel decision‐making model representing the multifactorial context of the GD performance.",
keywords = "Performance evaluation, Gynecobstetrics, FAHP, DEMATEL, TOPSIS, Healthcare, embargoover12",
author = "Miguel Ort{\'i}z‐Barrios and Edward Guti{\'e}rrez‐Severiche and Dayana C{\'o}mbita‐Ni{\~n}o and Genett Jim{\'e}nez‐Delgado and Alessio Ishizaka and Maria Barbati and Zulmeira Herrera‐Fontalvo",
year = "2021",
month = feb,
day = "12",
doi = "10.1111/itor.12946",
language = "English",
journal = "International Transactions in Operational Research",
issn = "0969-6016",
publisher = "Wiley",

}

RIS

TY - JOUR

T1 - A multicriteria decision‐making framework for assessing the performance of gynecobstetrics departments: a case study

AU - Ortíz‐Barrios, Miguel

AU - Gutiérrez‐Severiche, Edward

AU - Cómbita‐Niño, Dayana

AU - Jiménez‐Delgado, Genett

AU - Ishizaka, Alessio

AU - Barbati, Maria

AU - Herrera‐Fontalvo, Zulmeira

PY - 2021/2/12

Y1 - 2021/2/12

N2 - Gynecobstetrics departments (GDs) oversee diagnosing, monitoring, and treating female reproductive diseases as well as assisting women during pregnancy. Their importance motivates the creation of suitable performance evaluation approaches for identifying weaknesses and designing focused interventions. Therefore, the aim of this paper is twofold: (a) provide an approach for GD performance evaluation and (b) propose interventions tackling the GDs’ weaknesses. The fuzzy analytic hierarchy process (FAHP) was first applied to calculate the initial criteria and subcriteria weights under vagueness. Then, the decision‐making trial and evaluation laboratory (DEMATEL) was implemented to evaluate interrelations. FAHP and DEMATEL were later combined to estimate the final criteria and subcriteria weights under vagueness and interdependency. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was used to rank the GDs and detect improvement opportunities. A case study of a cluster including three GDs is presented to validate the proposed approach. The results evidenced that patient safety and service quality are the most critical aspects in GD performance evaluation. The results from this application can be used by healthcare managers for designing focused interventions targeting improved performance of GDs. This paper fully exploits the advantages of FAHP, DEMATEL, and TOPSIS methods for evaluating performances of GDs. Furthermore, this study presents a novel decision‐making model representing the multifactorial context of the GD performance.

AB - Gynecobstetrics departments (GDs) oversee diagnosing, monitoring, and treating female reproductive diseases as well as assisting women during pregnancy. Their importance motivates the creation of suitable performance evaluation approaches for identifying weaknesses and designing focused interventions. Therefore, the aim of this paper is twofold: (a) provide an approach for GD performance evaluation and (b) propose interventions tackling the GDs’ weaknesses. The fuzzy analytic hierarchy process (FAHP) was first applied to calculate the initial criteria and subcriteria weights under vagueness. Then, the decision‐making trial and evaluation laboratory (DEMATEL) was implemented to evaluate interrelations. FAHP and DEMATEL were later combined to estimate the final criteria and subcriteria weights under vagueness and interdependency. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was used to rank the GDs and detect improvement opportunities. A case study of a cluster including three GDs is presented to validate the proposed approach. The results evidenced that patient safety and service quality are the most critical aspects in GD performance evaluation. The results from this application can be used by healthcare managers for designing focused interventions targeting improved performance of GDs. This paper fully exploits the advantages of FAHP, DEMATEL, and TOPSIS methods for evaluating performances of GDs. Furthermore, this study presents a novel decision‐making model representing the multifactorial context of the GD performance.

KW - Performance evaluation

KW - Gynecobstetrics

KW - FAHP

KW - DEMATEL

KW - TOPSIS

KW - Healthcare

KW - embargoover12

UR - https://onlinelibrary.wiley.com/doi/10.1111/itor.12946

U2 - 10.1111/itor.12946

DO - 10.1111/itor.12946

M3 - Article

JO - International Transactions in Operational Research

JF - International Transactions in Operational Research

SN - 0969-6016

ER -

ID: 26409608