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  • Application of social ecological model to Taiwanese end-of-life communication and healthcare planning

    Author(s)
    Huang, Ya-Ling
    Yates, Patsy
    Thorberg, Fred Arne
    Wu, Chiung-Jung Jo
    Griffith University Author(s)
    Huang, Ya-Ling
    Year published
    2020
    Metadata
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    Abstract
    Background: Cultural and social backgrounds shape how people regard health, illness and death, and also play a significant role in end-of-life (EOL) decision-making in the face of uncertainty and distress. EOL communication and planning can be complex in a society where families play an important role in decision-making for EOL care in Taiwan. Aim: This study aimed to identify the significance of cultural, community, interpersonal and individual determinants of EOL communication and healthcare planning. Methods: A social ecological model was applied to underpin the study. A random sample of 2000 adults aged 20 years or above ...
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    Background: Cultural and social backgrounds shape how people regard health, illness and death, and also play a significant role in end-of-life (EOL) decision-making in the face of uncertainty and distress. EOL communication and planning can be complex in a society where families play an important role in decision-making for EOL care in Taiwan. Aim: This study aimed to identify the significance of cultural, community, interpersonal and individual determinants of EOL communication and healthcare planning. Methods: A social ecological model was applied to underpin the study. A random sample of 2000 adults aged 20 years or above was selected from the electoral roll in a metropolitan area in southern Taiwan. Adults were told that if they did not wish to participate in the study, they could either return a non-participation form or not complete the questionnaires. Hierarchical multiple regression analyses were used to determine the significance of different societal levels of factors on EOL communication and healthcare planning. Findings: Four hundred and seventy-four valid questionnaires were returned. Hierarchical multiple regression analyses revealed that the models of modified Measures of Public Preferences (p < .0001) were significant, with 22.7% of variance in facilitation, 81.9% of variance in content and 22.9% of variance in support being explained by variables at cultural, community, interpersonal and intrapersonal levels. The model of Advance Directives Attitude Survey (p < .0001) was significant with 25.6% of variance being explained by variables at cultural, community, interpersonal and intrapersonal levels. Discussion: This study offers empirical evidence embedded within a social ecological perspective of the significance of cultural, social and contextual factors on individuals’ preferences for EOL communication and healthcare planning. Conclusion: Such information is important to enable health professionals to prepare individuals and their families for dealing with challenges related to EOL communication and healthcare.
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    Journal Title
    Collegian
    Volume
    27
    Issue
    5
    DOI
    https://doi.org/10.1016/j.colegn.2020.04.008
    Subject
    Nursing
    Science & Technology
    Life Sciences & Biomedicine
    Culture
    Social norms
    Publication URI
    http://hdl.handle.net/10072/404331
    Collection
    • Journal articles

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