Artikel

Grey systems in the management of demand for palliative care services in Poland

Background: The concept of care for people in a critical or even terminal health condition, who are in the last stage of their life, has become the mission of palliative care facilities. Therefore, the life of a sick patient poses a number of challenges for health care services to make sure that medical services are tailored to the trajectory of the disease, as well as the various needs, preferences and resources of patients and their families. Methods: Health systems financed from public funds need to adopt new methods of management to meet the high and arising demand for a long-term care. There are several ways of assessing the demand for long-term care services. The method recommended by the author and presented in more detail in this paper is the one relying on grey systems, which enables the estimation of forecasting models and, finally, actual forecasts of the number of potential future patients. Results: GST can be used to make predictions about the future behaviour of the system, which is why this article aims to present the possibility of using the first-order grey model GM (1,1) in predicting the number of patients of palliative care facilities in Poland. The analysis covers the data from 2014 to 2019, whereas the prediction of the number of patients has been additionally formulated for 2020. Conclusions: Health systems, particularly publicly funded ones, are characterised by a certain kind of incompleteness and uncertainty of data on the structure and behaviour of its individual components (e.g. potential patients or payers). The present study aims to prove how simple and effective grey systems models are in the decision-making process.

Language
Englisch

Bibliographic citation
Journal: Health Economics Review ; ISSN: 2191-1991 ; Volume: 12 ; Year: 2022 ; Issue: 1 ; Pages: 1-13

Classification
Wirtschaft
Subject
Grey systems
Demand for health services
Long-term care
Patients of palliative care facilities

Event
Geistige Schöpfung
(who)
Nieszporska, Sylwia
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2022

DOI
doi:10.1186/s13561-021-00349-5
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Nieszporska, Sylwia
  • Springer

Time of origin

  • 2022

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