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A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs

In recent years, the management of health systems is a main concern of governments and decision-makers. Home health care is one of the newest methods of providing services to patients in developed societies that can respond to the individual lifestyle of the modern age and the increase of life expec...

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Autores principales: Khodabandeh, Pouria, Kayvanfar, Vahid, Rafiee, Majid, Werner, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908566/
https://www.ncbi.nlm.nih.gov/pubmed/33494232
http://dx.doi.org/10.3390/ijerph18030900
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author Khodabandeh, Pouria
Kayvanfar, Vahid
Rafiee, Majid
Werner, Frank
author_facet Khodabandeh, Pouria
Kayvanfar, Vahid
Rafiee, Majid
Werner, Frank
author_sort Khodabandeh, Pouria
collection PubMed
description In recent years, the management of health systems is a main concern of governments and decision-makers. Home health care is one of the newest methods of providing services to patients in developed societies that can respond to the individual lifestyle of the modern age and the increase of life expectancy. The home health care routing and scheduling problem is a generalized version of the vehicle routing problem, which is extended to a complex problem by adding special features and constraints of health care problems. In this problem, there are multiple stakeholders, such as nurses, for which an increase in their satisfaction level is very important. In this study, a mathematical model is developed to expand traditional home health care routing and scheduling models to downgrading cost aspects by adding the objective of minimizing the difference between the actual and potential skills of the nurses. Downgrading can lead to nurse dissatisfaction. In addition, skillful nurses have higher salaries, and high-level services increase equipment costs and need more expensive training and nursing certificates. Therefore, downgrading can enforce huge hidden costs to the managers of a company. To solve the bi-objective model, an ε-constraint-based approach is suggested, and the model applicability and its ability to solve the problem in various sizes are discussed. A sensitivity analysis on the Epsilon parameter is conducted to analyze the effect of this parameter on the problem. Finally, some managerial insights are presented to help the managers in this field, and some directions for future studies are mentioned as well.
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spelling pubmed-79085662021-02-27 A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs Khodabandeh, Pouria Kayvanfar, Vahid Rafiee, Majid Werner, Frank Int J Environ Res Public Health Article In recent years, the management of health systems is a main concern of governments and decision-makers. Home health care is one of the newest methods of providing services to patients in developed societies that can respond to the individual lifestyle of the modern age and the increase of life expectancy. The home health care routing and scheduling problem is a generalized version of the vehicle routing problem, which is extended to a complex problem by adding special features and constraints of health care problems. In this problem, there are multiple stakeholders, such as nurses, for which an increase in their satisfaction level is very important. In this study, a mathematical model is developed to expand traditional home health care routing and scheduling models to downgrading cost aspects by adding the objective of minimizing the difference between the actual and potential skills of the nurses. Downgrading can lead to nurse dissatisfaction. In addition, skillful nurses have higher salaries, and high-level services increase equipment costs and need more expensive training and nursing certificates. Therefore, downgrading can enforce huge hidden costs to the managers of a company. To solve the bi-objective model, an ε-constraint-based approach is suggested, and the model applicability and its ability to solve the problem in various sizes are discussed. A sensitivity analysis on the Epsilon parameter is conducted to analyze the effect of this parameter on the problem. Finally, some managerial insights are presented to help the managers in this field, and some directions for future studies are mentioned as well. MDPI 2021-01-21 2021-02 /pmc/articles/PMC7908566/ /pubmed/33494232 http://dx.doi.org/10.3390/ijerph18030900 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khodabandeh, Pouria
Kayvanfar, Vahid
Rafiee, Majid
Werner, Frank
A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title_full A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title_fullStr A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title_full_unstemmed A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title_short A Bi-Objective Home Health Care Routing and Scheduling Model with Considering Nurse Downgrading Costs
title_sort bi-objective home health care routing and scheduling model with considering nurse downgrading costs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908566/
https://www.ncbi.nlm.nih.gov/pubmed/33494232
http://dx.doi.org/10.3390/ijerph18030900
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