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

Author(s):  
Pouria Khodabandeh ◽  
Vahid Kayvanfar ◽  
Majid Rafiee ◽  
Frank Werner

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.

Author(s):  
Pouria Khodabandeh ◽  
Vahid Kayvanfar ◽  
Majid Rafiee ◽  
Frank Werner

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 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 of 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 a dissatisfaction of the nurses. In addition, skillful nurses have higher salaries and high-level services increase equipment costs and need more expensive trainings and nursing certificates. Therefore, downgrading can enforce hidden huge costs to the managers of a company. To solve the bi-objective model, an -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.


2018 ◽  
Vol 68 (4) ◽  
pp. 205-222
Author(s):  
Patrick Hirsch

Summary Home health care (HHC) services are faced with a rising demand in Austria. This is due to an increased life expectancy, changing family structures, and the trend to grow old at home. The percentage of their working time that is spent by the HHC staff for travelling from one client to the next one reaches 30% and even more in some rural areas. Changing the assignment of HHC staff to clients and the sequence of visits can lead to major reductions in the travel distances, and therefore, to more sustainable solutions. The aim of this paper is to provide a comprehensive overview on the logistical planning of HHC services in Austria. In order to meet the future requirements, it is important to analyze different mobility concepts for the HHC staff and to provide tailored solution approaches for routing and scheduling. The reader learns about the current HHC situation in Austria, the logistical requirements for planning these services, possible mobility concepts for the HHC staff, and potential threats for HHC operations. The developed solution methods are presented in brief and the main findings are highlighted and discussed. The paper concludes with an outlook on potential future research paths in HHC routing and scheduling.


2020 ◽  
Vol 35 (2) ◽  
pp. 81-84
Author(s):  
Megan Lenz ◽  
Jeffrey A. Clark ◽  
Brian J. Gates

An interprofessional, team-based approach has become common in a variety of settings. However, consultant pharmacist participation in home health care (HHC) has been limited. To evaluate a potential need for pharmacists in HHC, the objective of this project was to document the medication complexity of patients seen by an established HHC consultant pharmacist service. This retrospective review reports on medication regimen complexity in 79 patients receiving this service using the Patient-Level Medication Regimen Complexity Index (MRCI) tool. The average MRCI score was 30 (± 15 standard deviation), suggesting a high level of medication regimen complexity in this population. High scores have been correlated with increased potential adverse drug events, 30-day hospital readmissions, and reduced adherence. Further research is needed for both the utilization of consultant pharmacists in HHC and the use of MRCI in identifying HHC patients needing pharmacist services.


Author(s):  
Juan Carlos Rivera ◽  
Victoria J. Zapata

Welfare community projects, mainly related to health care, are essential for the development of societies. For this reason, the optimization of its resources through methodologies that support decision making becomes of interest for all stakeholders in order to reach the target users. In Colombia, particularly in the city of Medellin, several social projects are being developed seeking to provide health and other social services to vulnerable populations. The purpose of this chapter is to deal with a real application of the home health care routing and scheduling problem (HHCRSP), in which a set of health professionals grouped by teams should visit a set of users geographically scatter over the city. Here, it is proposed a mixed integer linear model and a heuristic solution approach. The mathematical model is based on vehicle routing problem with pickups and deliveries (VRPPD) with additional features related with the specific application and geographical conditions.


2017 ◽  
Vol 50 (1) ◽  
pp. 14662-14667 ◽  
Author(s):  
J. Decerle ◽  
O. Grunder ◽  
A. Hajjam El Hassani ◽  
O. Barakat

2018 ◽  
Vol 200 ◽  
pp. 423-443 ◽  
Author(s):  
Amir Mohammad Fathollahi-Fard ◽  
Mostafa Hajiaghaei-Keshteli ◽  
Reza Tavakkoli-Moghaddam

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