JOURNAL ARTICLE

What Constitutes a "Good Death"?—A Representative Cross-Sectional Survey Among the General Public in Croatia.

  • Published In: Omega: Journal of Death & Dying, 2023, v. 86, n. 4. P. 1415 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Borovečki, Ana; Nikodem, Krunoslav; Ćurković, Marko; Braš, Marijana; Palić-Kramarić, Ružica; Špoljar, Diana; Matulić, Tonči; Grosek, Štefan; Tonković, Dinko 3 of 3

Abstract

This article focuses on a 2019 cross-sectional survey examining the attitudes of the general population in the Republic of Croatia toward the concept of a "good death," an important consideration for end-of-life decision-making and palliative care. The study identified three main factors characterizing a good death as perceived by Croatians: "Awareness and Meaningfulness," "Family and God," and "Absence of Pain," with the absence of pain and presence of family being the most frequently cited attributes. Sociodemographic variables, religiosity, personal experiences with death, trust in physicians, and political worldview influenced these attitudes, highlighting differences such as older, rural, and more religious respondents valuing family presence and spiritual reconciliation more than younger, urban, and more educated groups. The findings underscore the complexity of societal attitudes toward death and suggest that these perspectives should inform healthcare planning and end-of-life care practices in Croatia.

Additional Information

  • Source:Omega: Journal of Death & Dying. 2023/03, Vol. 86, Issue 4, p1415
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:0030-2228
  • DOI:10.1177/00302228211010597
  • Accession Number:161623275
  • Copyright Statement:Copyright of Omega: Journal of Death & Dying is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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