Nemours Children's Health System.
Sidney Kimmel Medical College of Thomas Jefferson University.
J Pediatr Psychol. 2021 Jun 3;46(5):504-513. doi: 10.1093/jpepsy/jsab026.
In response to the rapidly unfolding coronavirus disease 2019 (COVID-19) pandemic in spring 2020, we developed a caregiver-report measure to understand the extent to which children and families were exposed to events related to COVID-19 and their perceptions of its impact. This article reports on the factor structure and psychometric properties of this measure.
The COVID-19 Exposure and Family Impact Scales (CEFIS) were developed by a multidisciplinary, multi-institutional team using a rapid iterative process. Data from 1805 caregivers recruited from 28 programs at 15 institutions across the United States were collected from May-September 2020. We examined the underlying structure of the CEFIS using exploratory factor analyses and its internal consistency (Cronbach's alpha).
Participants reported a range of COVID-19-related events (M = 8.71 events of 25). On the bidirectional 4-point impact scale, mean scores were mostly above the midpoint, indicating a slightly negative impact. Cronbach's alpha was excellent for Exposure (α = .80) and Impact (α = .92). Factor analysis identified six factors for Exposure (COVID-19 experiences, Access to essentials, Disruptions to living conditions, Loss of income, Family caregiving and activities, and Designation as an essential worker). There were three factors for Impact (Personal well-being, Family interactions, and Distress).
The CEFIS has strong factors assessing Exposure to events related to COVID-19, and the Impact of these events on families of children in pediatric healthcare. These initial validation data support use of the CEFIS for measuring the effect of the pandemic.
针对 2020 年春季迅速爆发的 2019 冠状病毒病(COVID-19)大流行,我们开发了一种照顾者报告措施,以了解儿童及其家庭接触与 COVID-19 相关事件的程度及其对其影响的认知。本文报告了该措施的因子结构和心理测量特性。
COVID-19 暴露和家庭影响量表(CEFIS)由一个多学科、多机构团队使用快速迭代过程开发。2020 年 5 月至 9 月,从美国 15 个机构的 28 个项目中招募了 1805 名照顾者,收集了他们的数据。我们使用探索性因子分析和内部一致性(Cronbach's alpha)检验了 CEFIS 的潜在结构。
参与者报告了一系列与 COVID-19 相关的事件(M=25 项中的 8.71 项)。在双向 4 点影响量表上,平均分数大多高于中点,表明影响略有负面。暴露(α=0.80)和影响(α=0.92)的 Cronbach's alpha 均为优秀。因子分析确定了暴露的六个因素(COVID-19 经历、获得必需品、生活条件的中断、收入损失、家庭护理和活动以及指定为必要工作者)和影响的三个因素(个人幸福感、家庭互动和痛苦)。
CEFIS 具有很强的因素来评估与 COVID-19 相关事件的暴露程度,以及这些事件对儿科医疗保健中儿童家庭的影响。这些初步验证数据支持使用 CEFIS 来衡量大流行的影响。