Insights and decision support for home health care services in times of disasters

Consequences of the Early Phase of the COVID-19 Pandemic for Home-Healthcare Recipients in Norway: A Nursing Perspective

Municipal home-healthcare services are becoming increasingly important as growing numbers of people are receiving healthcare services in their home. The COVID-19 pandemic represented a challenge for this group, both in terms of care providers being restricted in performing their duties and care receivers declining services for fear of being infected. Furthermore, preparedness plans were not always in place. The purpose of this study is to investigate the consequences for recipients of home healthcare in Norway of the actual level of COVID-19 infection spread in the local population, as observed by licensed nurses working in home-healthcare services. Approximately 2100 nurses answered the survey. The most common adverse consequences for home-healthcare recipients were increased isolation and loneliness, increased health concerns, and the loss of respite care services. An increased burden for relatives/next of kin and fewer physical meetings with service providers were frequently observed and reported as well. This study shows that there were more adverse consequences for service users in municipalities with higher levels of contagion than in those with lower levels of contagion. This indicates that the municipalities adapted measures to the local rate of contagion, in line with local municipal preparedness strategies.

A multi-criteria decision model for assessing health and self-care ability

Population ageing together with the greater prevalence of multimorbidity add to the need for and complexity of healthcare services. This makes it important to encourage and empower patients with chronic diseases to take care of themselves. An associated goal of such efforts is to significantly reduce the burden on healthcare systems and positively impact patients' health outcomes and quality of life. The paper presents a multi-criteria decision model for assessing the health and self-care of patients with chronic diseases in the home environment. The model is based on the DEX methodology and was tested on ten cases. The model assists with the timely recognition of relevant symptoms and signs in decision-making about health and self-care. It can be used to promote patients taking on an active role with respect to caring for their health and well-being. The model could be integrated into self-care processes. It might also serve as a basis for an interprofessional approach to supporting older patients with chronic diseases living as fully and independently as possible in the environment in which they feel most comfortable.

A goal programming model for two-stage COVID19 test sampling centers location-allocation problem

The COVID19 virus, which first appeared in Wuhan, China, and has become a pandemic in a short time, has threatened the health system in many countries and put it into a bottleneck. Simultaneously, the second wave's expectation spread it necessary to plan the health services correctly. In this study, a location-allocation problem in the two-echelon system, which considers different test sampling alternatives, is examined to obtain test sampling centers' location-allocation. The problem is modeled as a goal programming model to create a network that tests samples at a minimum total distance, establishes a minimum number of test sampling centers, and reaches the distance of PCR test laboratories at minimum total distances. The proposed model is applied as a case study for the two cities located in Turkey, and the obtained locations and inventory levels of each location are presented. Besides, different scenarios are examined to understand the structure of the model. As a result, only testing in hospitals will increase the risk of contamination. Since testing at all points will not be possible administratively, it will be ensured that the most appropriate location-allocation decisions are taken by considering all the proposed model's objectives.

Central European journal of operations research (CJOR) "operations research applied to health services (ORAHS) in Europe: general trends and ORAHS 2020 conference in Vienna, Austria"

This articles provides a short summary of the research topics and latest research results of the European Working Group "Operations Research Applied to Health Services" (ORAHS) organized as an e-conference in Juli 2020 at the University of Vienna, Austria (https://orahs2020.univie.ac.at/). Furthermore, challenges for OR in health care including application areas, decision support systems, general trends, and modelling techniques are briefly illustrated from an European and international perspective by providing selected essential literature reviews.