Student Research Committee, Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Front Public Health. 2024 Oct 3;12:1449273. doi: 10.3389/fpubh.2024.1449273. eCollection 2024.
Identifying the hidden and pervasive phenomenon of burnout among family caregivers of older adults with chronic disease requires the use of a valid and reliable tool tailored to the cultural structure of the target community. Therefore, the present study aimed to design and psychometrically evaluate the family caregivers burnout inventory (FCBI) of older adults with chronic disease.
This research is a sequential exploratory mixed-methods study focused on instrument design, conducted in Iran in 2024. The study employed classical theory, involving three stages to create a valid instrument: item design using inductive (semi-structured face-to-face interviews with 13 caregivers) and deductive (literature review) methods, tool design, and tool evaluation using face validity, content validity, construct validity [exploratory factor analysis (EFA) ( = 297) and confirmatory factor analysis (297 participants)], convergent validity, and reliability (internal consistency and stability). Data were analyzed using AMOS version 24 and SPSS version 26.
Based on qualitative findings, participant quotes, and item adoption from other studies, a pool of 228 items was designed using a 5-point Likert scale (always to never). After several stages of review by the research team, 102 items remained. Following face validity (2 items), content validity (46 items), and construct validity (23 items due to factor loadings less than 0.4 and cross-loadings), 71 items were eliminated, leaving 31 items. EFA results indicated that the family caregiver's burnout construct of older adults with chronic diseases comprises six factors include; "neurosis," "feeling victimized," "extreme fatigue and helplessness," "neglect or abuse of self and others," "adaptation deficiency" and "emotional separation" explaining 52.93% of the total variance. The fit indices showed acceptable model fit with the data. In this study, composite reliability and average variance extracted (AVE) for the six factors were greater than 0.7 and 0.5, respectively, and the (AVE) for each factor was higher than the composite reliability. Cronbach's alpha coefficient for the entire scale was 0.975, and there was a significant correlation between test and retest scores ( < 0.001).
FCBI demonstrates suitable validity and reliability and can be used in various settings by health service providers to identify symptoms of burnout in family caregivers.
识别慢性病老年患者家庭照顾者中隐性且普遍存在的倦怠现象，需要使用针对目标社区文化结构进行定制的有效且可靠的工具。因此，本研究旨在设计并对慢性病老年患者家庭照顾者倦怠量表（FCBI）进行心理测量评估。
这是一项探索性序贯混合方法研究，专注于工具设计，于 2024 年在伊朗进行。研究采用经典理论，涉及三个阶段来创建有效的工具：使用归纳法（对 13 名照顾者进行半结构化面对面访谈）和演绎法（文献回顾）进行项目设计、工具设计以及使用表面效度、内容效度、结构效度[探索性因素分析（EFA）（ = 297）和验证性因素分析（297 名参与者）]、收敛效度和可靠性（内部一致性和稳定性）进行工具评估。数据使用 AMOS 版本 24 和 SPSS 版本 26 进行分析。
基于定性研究结果、参与者引述以及其他研究的项目采纳情况，设计了一个由 228 个项目组成的池，采用 5 点李克特量表（总是到从不）。经过研究团队的几个阶段审查，留下了 102 个项目。经过表面效度（2 个项目）、内容效度（46 个项目）和结构效度（由于因子负荷小于 0.4 和交叉负荷，23 个项目被淘汰），淘汰了 71 个项目，留下 31 个项目。EFA 结果表明，慢性病老年患者家庭照顾者的倦怠结构由六个因素组成，包括“神经症”、“感觉受害”、“极度疲劳和无助”、“自我和他人的忽视或虐待”、“适应不足”和“情感分离”，解释了总方差的 52.93%。拟合指数表明，数据模型拟合度可接受。在这项研究中，六个因素的综合可靠性和平均方差抽取（AVE）均大于 0.7 和 0.5，且每个因素的 AVE 均高于综合可靠性。整个量表的克朗巴赫α系数为 0.975，且测试和重测分数之间存在显著相关性（ < 0.001）。
FCBI 具有良好的有效性和可靠性，卫生服务提供者可以在各种环境中使用它来识别家庭照顾者的倦怠症状。
