预测慢性疾病患者护理人员恢复力的因素:泰国护理人员的横断面研究。

IF 1.4 Q3 NURSING
Belitung Nursing Journal Pub Date : 2025-05-27 eCollection Date: 2025-01-01 DOI:10.33546/bnj.3711
Jeeraporn Kummabutr, Natthapat Buaboon, Siriluck Kaewsriwong
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引用次数: 0

摘要

背景:泰国有数百万成年人担任照顾者,面临着与照顾者负担和福祉相关的重大公共卫生挑战。恢复力与更好的护理结果有关,但恢复力的预测因素尚未完全了解。目的:探讨慢性病患者照护者心理弹性的影响因素。方法:采用描述性、横断面设计,采用多阶段随机抽样方法抽取172名护理人员。使用经过验证的仪器在2020年2月至2021年1月期间收集数据。采用描述性统计、双变量分析和多元回归分析对数据进行分析,显著性设置为p。结果:照顾者心理弹性得分在正常范围内(Mean = 61.40, SD = 8.735)。在双变量分析中,年龄、压力、自我效能、社会支持、自尊、护理态度、家庭功能等10个变量中有7个变量与照顾者心理弹性显著相关(p β = 0.213, p β = 0.317, p β = -0.114, p = 0.037)。压力与心理弹性呈显著负相关(β = -0.230, p β = -0.182, p = 0.001),表明压力水平越高,应对能力越弱,照顾知识越丰富,情绪负担越重。总之,这些预测因子解释了照顾者弹性方差的56.8% (R²= 0.568),突出了它们对照顾者管理照顾挑战的能力的实质性影响。结论:本研究确定了影响照顾者心理弹性的关键因素,特别是家庭支持、自尊和对照顾的态度,同时也强调了压力和年龄对心理弹性的负面影响。护士通过以家庭为中心的干预、压力管理计划和社会心理支持,关注这些因素,在提高护理人员的复原力方面发挥着至关重要的作用。加强这些方面可以显著改善护理人员和患者的生活质量,从而获得更有效的护理结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors predicting resilience among caregivers of people with chronic illness: A cross-sectional study of Thai caregivers.

Background: Millions of adults in Thailand serve as caregivers, facing significant public health challenges related to caregiver burden and well-being. Resilience is linked to better caregiver outcomes, yet the predictors of resilience are not fully understood.

Objective: This study aimed to identify the factors predicting resilience among caregivers of people with chronic illness.

Methods: A descriptive, cross-sectional design was used with a sample of 172 caregivers selected through multi-stage random sampling. Data were collected between February 2020 and January 2021 using validated instruments. Data were analyzed using descriptive statistics, bivariate analysis, and multiple regression analysis, with significance set at p <0.05.

Results: Caregiver resilience scores were within the normal range (Mean = 61.40, SD = 8.735). In bivariate analysis, 7 out of 10 variables-age, stress, self-efficacy, social support, self-esteem, attitude toward care, and family functioning-were significantly associated with caregiver resilience (p <0.05). Multiple regression analysis revealed that key factors significantly predicting caregiver resilience included self-esteem (β = 0.213, p <0.001), attitude toward care (β = 0.268, p <0.001), family function (β = 0.317, p <0.001), and age (β = -0.114, p = 0.037). In contrast, stress (β = -0.230, p <0.001) and knowledge (β = -0.182, p = 0.001) were negatively related to resilience, indicating that higher stress levels diminish coping abilities and that greater caregiving knowledge may contribute to emotional burden. Together, these predictors explained 56.8% of the variance in caregiver resilience ( = 0.568), highlighting their substantial influence on caregivers' ability to manage caregiving challenges.

Conclusion: This study identifies key factors that influence caregiver resilience, particularly family support, self-esteem, and attitude toward care, while also highlighting the negative impacts of stress and age on resilience. Nurses play a crucial role in enhancing caregiver resilience by focusing on these factors through family-centered interventions, stress management programs, and psychosocial support. Strengthening these areas can significantly improve the quality of life for both caregivers and patients, leading to more effective caregiving outcomes.

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来源期刊
CiteScore
1.90
自引率
42.90%
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