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Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling

This study aimed to expand on previous research elucidating the effects of dispositional resilience and self-efficacy on practice in advanced care planning (ACP) of terminally ill patients among Taiwanese nurses using path modeling. This cross-sectional study was conducted using cluster sampling. Da...

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Autores principales: Pan, Hsueh-Hsing, Wu, Li-Fen, Chang, Li-Fang, Hung, Yu-Chun, Lin, Chin, Ho, Ching-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908438/
https://www.ncbi.nlm.nih.gov/pubmed/33573116
http://dx.doi.org/10.3390/ijerph18031236
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author Pan, Hsueh-Hsing
Wu, Li-Fen
Chang, Li-Fang
Hung, Yu-Chun
Lin, Chin
Ho, Ching-Liang
author_facet Pan, Hsueh-Hsing
Wu, Li-Fen
Chang, Li-Fang
Hung, Yu-Chun
Lin, Chin
Ho, Ching-Liang
author_sort Pan, Hsueh-Hsing
collection PubMed
description This study aimed to expand on previous research elucidating the effects of dispositional resilience and self-efficacy on practice in advanced care planning (ACP) of terminally ill patients among Taiwanese nurses using path modeling. This cross-sectional study was conducted using cluster sampling. Data were collected using demographics, nurses’ knowledge, attitude, and practice of ACP (KAP-ACP) inventory, Dispositional Resilience Scale, and General Self-Efficacy Scale. A total of 266 nurses from a tertiary medical center in northern Taiwan participated in this study in 2019. The results showed that gender and ward were significant K-ACP predictors among nurses. The ACP knowledge, ward, and experience of caring for terminally ill friends or relatives were significant A-ACP predictors, whereas ACP attitudes, dispositional resilience, self-efficacy, ward, and the frequency of caring for terminally ill patients were the key predictors of P-ACP. The path modeling showed that dispositional resilience; self-efficacy; medical, surgical, hematology and oncology wards; previous experience in caring for terminally ill friends or relatives; participating in the do-not-resuscitate signature; and the frequency of caring for terminally ill patients directly influenced ACP practices. We recommend that nurses enhance their dispositional resilience and self-efficacy, which may encourage them to appreciate the value of ACP practice of terminally ill patients and improve the quality of care.
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spelling pubmed-79084382021-02-27 Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling Pan, Hsueh-Hsing Wu, Li-Fen Chang, Li-Fang Hung, Yu-Chun Lin, Chin Ho, Ching-Liang Int J Environ Res Public Health Article This study aimed to expand on previous research elucidating the effects of dispositional resilience and self-efficacy on practice in advanced care planning (ACP) of terminally ill patients among Taiwanese nurses using path modeling. This cross-sectional study was conducted using cluster sampling. Data were collected using demographics, nurses’ knowledge, attitude, and practice of ACP (KAP-ACP) inventory, Dispositional Resilience Scale, and General Self-Efficacy Scale. A total of 266 nurses from a tertiary medical center in northern Taiwan participated in this study in 2019. The results showed that gender and ward were significant K-ACP predictors among nurses. The ACP knowledge, ward, and experience of caring for terminally ill friends or relatives were significant A-ACP predictors, whereas ACP attitudes, dispositional resilience, self-efficacy, ward, and the frequency of caring for terminally ill patients were the key predictors of P-ACP. The path modeling showed that dispositional resilience; self-efficacy; medical, surgical, hematology and oncology wards; previous experience in caring for terminally ill friends or relatives; participating in the do-not-resuscitate signature; and the frequency of caring for terminally ill patients directly influenced ACP practices. We recommend that nurses enhance their dispositional resilience and self-efficacy, which may encourage them to appreciate the value of ACP practice of terminally ill patients and improve the quality of care. MDPI 2021-01-30 2021-02 /pmc/articles/PMC7908438/ /pubmed/33573116 http://dx.doi.org/10.3390/ijerph18031236 Text en © 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pan, Hsueh-Hsing
Wu, Li-Fen
Chang, Li-Fang
Hung, Yu-Chun
Lin, Chin
Ho, Ching-Liang
Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title_full Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title_fullStr Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title_full_unstemmed Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title_short Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling
title_sort effects of dispositional resilience and self-efficacy on practice in advanced care planning of terminally ill patients among taiwanese nurses: a study using path modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908438/
https://www.ncbi.nlm.nih.gov/pubmed/33573116
http://dx.doi.org/10.3390/ijerph18031236
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