Nursing Faculty Salus Infirmorum, University of Cadiz, Cadiz, Spain.
Hospital Viamed Bahia de Cádiz, Chiclana de la Frontera, Cadiz, Spain.
Int J Nurs Pract. 2022 Jun;28(3):e13057. doi: 10.1111/ijn.13057. Epub 2022 Apr 6.
Many caregivers are insufficiently prepared, and little is known about measures that can be employed to enhance their preparedness.
The aim of this study was to explore the factors associated with caregiver preparedness and establish a predictive model including the relationship between preparedness, burden, resilience and anxiety.
A cross-sectional design was used.
The sample included 172 family caregivers who were selected from one private hospital and daytime nursing centres. Caregivers were recruited from 2018 to 2019; they completed assessments for caregiver preparedness, anxiety, resilience and burden. A multiple linear regression analysis was performed to identify the factors associated with preparedness.
Preparedness was significantly associated with high levels of resilience and a low level of burden, while it was not associated with anxiety. Caregivers' gender, experience and cohabitation status were the main predictors. Resilience is an explanatory factor for caregiver preparedness in the predictive model.
The demographic variables related to preparedness can be used to guide efforts to meet the needs of vulnerable caregivers. A caregiver's preparedness depends on their level of burden and resilience. Nursing interventions focused on these aspects could make the caregiver's role easier and improve the quality of care provided.
许多照顾者准备不足，对于可以提高他们准备程度的措施知之甚少。
本研究旨在探讨与照顾者准备程度相关的因素，并建立一个包含准备程度、负担、韧性和焦虑之间关系的预测模型。
采用横断面设计。
样本包括从一家私立医院和日间护理中心选取的 172 名家庭照顾者。照顾者于 2018 年至 2019 年期间招募，他们完成了照顾者准备程度、焦虑、韧性和负担的评估。进行多元线性回归分析以确定与准备程度相关的因素。
准备程度与高韧性水平和低负担水平显著相关，而与焦虑无关。照顾者的性别、经验和同居状况是主要的预测因素。韧性是预测模型中照顾者准备程度的解释因素。
与准备程度相关的人口统计学变量可用于指导满足弱势照顾者需求的努力。照顾者的准备程度取决于其负担和韧性水平。专注于这些方面的护理干预措施可以使照顾者的角色更轻松，并提高提供的护理质量。
