Abstract：
OBJECTIVE: To support informal caregivers, a simple assessment tool capturing the multidimensional nature of caregiving experiences, including negative and positive aspects, is required. We developed a short form of the Japanese version of the Caregiver Reaction Assessment (CRA-J), a multidimensional assessment scale for caregiver experiences.
METHODS: The internet survey involved 934 Japanese informal caregivers aged 20-79 years (mean age = 58.8 years; 50.2% women) who completed questionnaires, including the CRA-J 18 items (CRA-J-18), consisting of five domains, such as impacts on schedule and finances and positive experiences of caregiving. A 10-item short version of the CRA-J (CRA-J-10; 0-50 points), which was prepared by selecting the two items with the highest factor loadings from each domain, was tested for model fit by confirmatory factor analysis (CFA) and was analyzed for correlations with the CRA-J-18, Zarit Burden Interview (ZBI), Positive Aspects of Caregiving Scale (PACS), Patient Health Questionnaire-9 (PHQ-9), and WHO-Five Well-Being Index (WHO-5). The area under the curve (AUC) in the receiver operating characteristic was evaluated as discriminability for depressive symptoms (PHQ-9 ≥ 10 points).
RESULTS: The CFA indicated a good model fit in the CRA-J-10. The CRA-J-10 correlated well with the CRA-J-18 and other variables (CRA-J-18, r = 0.970; ZBI, r = 0.747; PACS, r = -0.467; PHQ-9, r = 0.582; WHO-5, r = -0.588) and showed good discriminant performance for the presence of depressive symptoms (AUC = 0.793, 95% confidence interval = 0.762-0.823).
CONCLUSIONS: The CRA-J-10 allows a simple assessment of caregiver experiences, helping support informal caregivers. Geriatr Gerontol Int 2024; 24: 290-296.
METHODS: The internet survey involved 934 Japanese informal caregivers aged 20-79 years (mean age = 58.8 years; 50.2% women) who completed questionnaires, including the CRA-J 18 items (CRA-J-18), consisting of five domains, such as impacts on schedule and finances and positive experiences of caregiving. A 10-item short version of the CRA-J (CRA-J-10; 0-50 points), which was prepared by selecting the two items with the highest factor loadings from each domain, was tested for model fit by confirmatory factor analysis (CFA) and was analyzed for correlations with the CRA-J-18, Zarit Burden Interview (ZBI), Positive Aspects of Caregiving Scale (PACS), Patient Health Questionnaire-9 (PHQ-9), and WHO-Five Well-Being Index (WHO-5). The area under the curve (AUC) in the receiver operating characteristic was evaluated as discriminability for depressive symptoms (PHQ-9 ≥ 10 points).
RESULTS: The CFA indicated a good model fit in the CRA-J-10. The CRA-J-10 correlated well with the CRA-J-18 and other variables (CRA-J-18, r = 0.970; ZBI, r = 0.747; PACS, r = -0.467; PHQ-9, r = 0.582; WHO-5, r = -0.588) and showed good discriminant performance for the presence of depressive symptoms (AUC = 0.793, 95% confidence interval = 0.762-0.823).
CONCLUSIONS: The CRA-J-10 allows a simple assessment of caregiver experiences, helping support informal caregivers. Geriatr Gerontol Int 2024; 24: 290-296.
摘要：
目标：为了支持非正式护理人员，一个简单的评估工具，捕捉护理经验的多维性质，包括消极和积极的方面，是必需的。我们开发了日文版的照顾者反应评估（CRA-J）的简短形式，照顾者经验的多维评估量表。
方法：互联网调查涉及934名20-79岁的日本非正式照顾者（平均年龄=58.8岁；50.2%的女性），他们完成了问卷，包括CRA-J18项目(CRA-J-18)，由五个域组成，例如对日程安排和财务的影响以及护理的积极经验。CRA-J的10项简短版本（CRA-J-10；0-50分），这是通过从每个域中选择具有最高因子载荷的两个项目来准备的，通过验证性因子分析(CFA)检验模型拟合度，并分析与CRA-J-18、Zarit负担访谈(ZBI)的相关性，护理量表(PACS)的积极方面，患者健康问卷-9（PHQ-9），和世卫组织-五大福祉指数(世卫组织-5)。将受试者工作特征中的曲线下面积(AUC)评估为抑郁症状的可辨别性(PHQ-9≥10分)。
结果：CFA在CRA-J-10中显示出良好的模型拟合。CRA-J-10与CRA-J-18和其他变量（CRA-J-18，r=0.970；ZBI，r=0.747;PACS,r=-0.467；PHQ-9，r=0.582；WHO-5，r=-0.588），并对抑郁症状的存在表现出良好的判别性能（AUC=0.793，95％置信区间=0.762-0.823）。
结论：CRA-J-10可以简单评估照顾者的经历，帮助支持非正式的照顾者。GeriatrGerontolInt2024；••：••-•。
方法：互联网调查涉及934名20-79岁的日本非正式照顾者（平均年龄=58.8岁；50.2%的女性），他们完成了问卷，包括CRA-J18项目(CRA-J-18)，由五个域组成，例如对日程安排和财务的影响以及护理的积极经验。CRA-J的10项简短版本（CRA-J-10；0-50分），这是通过从每个域中选择具有最高因子载荷的两个项目来准备的，通过验证性因子分析(CFA)检验模型拟合度，并分析与CRA-J-18、Zarit负担访谈(ZBI)的相关性，护理量表(PACS)的积极方面，患者健康问卷-9（PHQ-9），和世卫组织-五大福祉指数(世卫组织-5)。将受试者工作特征中的曲线下面积(AUC)评估为抑郁症状的可辨别性(PHQ-9≥10分)。
结果：CFA在CRA-J-10中显示出良好的模型拟合。CRA-J-10与CRA-J-18和其他变量（CRA-J-18，r=0.970；ZBI，r=0.747;PACS,r=-0.467；PHQ-9，r=0.582；WHO-5，r=-0.588），并对抑郁症状的存在表现出良好的判别性能（AUC=0.793，95％置信区间=0.762-0.823）。
结论：CRA-J-10可以简单评估照顾者的经历，帮助支持非正式的照顾者。GeriatrGerontolInt2024；••：••-•。
