Department of Public Health and Preventive Medicine, Faculty of Medicine, Minia University, Minia, Egypt.
BMC Public Health. 2020 Jul 23;20(1):1156. doi: 10.1186/s12889-020-09266-4.
Family caregivers are critical partners in the plan of care of people with disabilities. The study aims to demonstrate the factor structure and internal consistency of the Caregiver Burden Inventory (CBI) among the studied caregivers of disabled persons and to determine the effects of patients' and caregivers' characteristics on the burden and its dimensions.
A cross-sectional study among 260 family caregivers of disabled patients was carried out in a randomly chosen rural area, Minia, Egypt, 2019. Exploratory factor analysis (EFA) was conducted to determine the factorial validity of the CBI. Multiple linear regression was used to identify the significant factors affecting the burden.
Factor analysis resulted in a five-factor solution using 20 items (four for each dimension) accounting for 72.7% of the total variance. The CBI and its dimensions showed high internal consistency (Cronbach's alpha value > 0.70). Education of caregiver, family income, mental impairments, and mixed disabilities were significant predictors of total CBI burden.
CBI is an effective multidimensional measure of the caregiver burden of disabled subjects. Caregivers experienced a distinct level of burden that is determined by caregiver and care recipient characteristics. Therefore, support and individualized counseling services should be optimized.
家庭照顾者是残疾人士护理计划中的重要伙伴。本研究旨在展示残疾人士照顾者的 caregiver 负担量表（CBI）的结构和内部一致性，并确定患者和照顾者特征对负担及其维度的影响。
2019 年，在埃及米尼亚省一个随机选择的农村地区，对 260 名残疾患者的家庭照顾者进行了横断面研究。采用探索性因素分析（EFA）确定 CBI 的因子有效性。采用多元线性回归分析确定影响负担的显著因素。
因素分析得出了一个包含 20 个项目（每个维度 4 个）的五因素解决方案，占总方差的 72.7%。CBI 及其维度具有较高的内部一致性（Cronbach's alpha 值>0.70）。照顾者的教育程度、家庭收入、精神障碍和混合残疾是 CBI 总负担的显著预测因素。
CBI 是残疾受试者照顾者负担的有效多维衡量工具。照顾者经历了特定程度的负担，这取决于照顾者和护理接受者的特征。因此，应优化支持和个性化咨询服务。
