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© 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background: The coverage of palliative care (PC) may be understood as a country’s capacity to offer prevention and relief from serious health-related suffering in relation to an existing need. The aim of this study is to estimate European countries´ coverage capacities. Method: Secondary analysis of three indicators, including the number of specialized services (SSPC), integration capacity scores (ICS) and the PC needs. By means of a K-medians clustering supervised algorithm, three coverage profiles were obtained: (1) Advanced: countries with high ICS and SSPC, and low PC needs; (2) Limited: countries with low ICS and SSPC, and low PC needs; and (3) Low: countries with low ICS and SSPC and high PC needs. Results: On average, the ratio of specialized services per population was 0.79 per 100,000 inhabitants, the average ICS was 19.62 and the average number of deceased patients with SHS per 100,000 inhabitants was 5.69. Twenty countries (41%) reached an advanced coverage profile. Nine countries (18%) demonstrated a limited coverage profile; and 20 countries (41%) fell under a low-coverage capacity. Conclusion: The level of palliative care coverage across Europe shows that 59% of European countries have either limited or very low availability of PC resources as regards their palliative care needs.

Details

Title
Palliative Care Coverage across European National Health Systems: Proposal of a Synthetic Indicator
Author
Sánchez-Cárdenas, Miguel Antonio 1   VIAFID ORCID Logo  ; Garralda, Eduardo 1   VIAFID ORCID Logo  ; Benítez, Edgar 2 ; Arias-Casais, Natalia 1 ; Danny van Steijn 1 ; Centeno, Carlos 1   VIAFID ORCID Logo 

 ATLANTES Global Palliative Care Observatory, Institute for Culture and Society, University of Navarra, 31001 Pamplona, Spain; [email protected] (E.G.); [email protected] (N.A.-C.); [email protected] (D.v.S.); [email protected] (C.C.); IdiSNA—Instituto de Investigacion Sanitaria de Navarra, 31001 Pamplona, Spain 
 DATAI, Instituto de Ciencia de los Datos e Inteligencia Artificial, University of Navarra, 31001 Pamplona, Spain; [email protected] 
First page
10753
Publication year
2021
Publication date
2021
Publisher
MDPI AG
ISSN
1661-7827
e-ISSN
1660-4601
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2584383657
Copyright
© 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.