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Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study

BACKGROUND: End-of-life care decision-making has become important to support dignity and quality of life for patients who are facing death in Korea, along with the enactment of the Life-Sustaining Treatment Act in 2018. However, it seems that the concepts and policies related to the law are not yet...

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Autores principales: Kim, Shinmi, Lee, Insook, Hong, Sun-Woo, Koh, Su-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944124/
https://www.ncbi.nlm.nih.gov/pubmed/35331255
http://dx.doi.org/10.1186/s12955-022-01952-8
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author Kim, Shinmi
Lee, Insook
Hong, Sun-Woo
Koh, Su-Jin
author_facet Kim, Shinmi
Lee, Insook
Hong, Sun-Woo
Koh, Su-Jin
author_sort Kim, Shinmi
collection PubMed
description BACKGROUND: End-of-life care decision-making has become important to support dignity and quality of life for patients who are facing death in Korea, along with the enactment of the Life-Sustaining Treatment Act in 2018. However, it seems that the concepts and policies related to the law are not yet familiar to health care providers or the general public. This unfamiliarity can hinder efficient end-of-life care discussions. Therefore, the purpose of this study was to propose a valid and reliable tool to explore the level of understanding of concepts and attributes related to end-of-life care decisions. METHODS: This is a mixed-methods study design. A relevant law and literature analysis, expert consultation, cognitive interviews of 10 adults, and cross-sectional survey for psychometric tests using data from 238 clinical nurses were performed to update a tool developed before the life-sustaining treatment Act was enacted in Korea. RESULTS: 29 items of the draft version were polished in terms of literacy, total length, and scoring method via cognitive interviews and finalized into 21 items through psychometric tests and expert consultations. The 21 items conformed to the Rasch unidimensional paramenters. CONCLUSION: A tool to identify the level of understanding of concepts related to end-of-life care decisions was proposed through a rather rigorous process to ensure feasibility and validity/reliability. We recommend the proposed tool to apply to the adult population and nurses for evaluation and educational purposes.
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spelling pubmed-89441242022-03-25 Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study Kim, Shinmi Lee, Insook Hong, Sun-Woo Koh, Su-Jin Health Qual Life Outcomes Research BACKGROUND: End-of-life care decision-making has become important to support dignity and quality of life for patients who are facing death in Korea, along with the enactment of the Life-Sustaining Treatment Act in 2018. However, it seems that the concepts and policies related to the law are not yet familiar to health care providers or the general public. This unfamiliarity can hinder efficient end-of-life care discussions. Therefore, the purpose of this study was to propose a valid and reliable tool to explore the level of understanding of concepts and attributes related to end-of-life care decisions. METHODS: This is a mixed-methods study design. A relevant law and literature analysis, expert consultation, cognitive interviews of 10 adults, and cross-sectional survey for psychometric tests using data from 238 clinical nurses were performed to update a tool developed before the life-sustaining treatment Act was enacted in Korea. RESULTS: 29 items of the draft version were polished in terms of literacy, total length, and scoring method via cognitive interviews and finalized into 21 items through psychometric tests and expert consultations. The 21 items conformed to the Rasch unidimensional paramenters. CONCLUSION: A tool to identify the level of understanding of concepts related to end-of-life care decisions was proposed through a rather rigorous process to ensure feasibility and validity/reliability. We recommend the proposed tool to apply to the adult population and nurses for evaluation and educational purposes. BioMed Central 2022-03-24 /pmc/articles/PMC8944124/ /pubmed/35331255 http://dx.doi.org/10.1186/s12955-022-01952-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kim, Shinmi
Lee, Insook
Hong, Sun-Woo
Koh, Su-Jin
Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title_full Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title_fullStr Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title_full_unstemmed Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title_short Psychometric properties of the end-of-life care decision inventory (EOL-CDI): a mixed-methods study
title_sort psychometric properties of the end-of-life care decision inventory (eol-cdi): a mixed-methods study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944124/
https://www.ncbi.nlm.nih.gov/pubmed/35331255
http://dx.doi.org/10.1186/s12955-022-01952-8
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