CAREGIVER MENTAL HEALTH IMPAIRMENT--IMPACT ON ELDER CARE

描述（改编自申请人摘要）：3中心纵向 提出了一项研究，其中照顾者心理健康对 并会研究为长者家庭成员提供照顾服务的机构的质素。 现有的研究表明，相当大比例的照顾者是 在抑郁方面， 神经病学，收集的数据类别包括诱发性 因素（例如，护理接受者的损伤，护理者的身体健康， 个人资源、外生生活事件）、照顾者心理健康状况 （抑郁、愤怒、焦虑和认知障碍）和护理质量 结果（具体表现为身心虐待和忽视 和/或金融剥削）。申请人假设， 心理健康因素将介导易感因素之间的关联 和护理质量。它还预测，照顾者的认知 损伤将有直接和调节作用（通过 护理人员心理健康）对护理质量的影响。 协方差结构的多样本分析将评估测量 照顾者和被照顾者之间的平等。结构方程 将采用模型（SEM）：a）在每个测试测量点， 改进和交叉验证所提出的模型，以及B）评估 模型各组成部分之间的预测关系。基于SEM 将使用分层线性模型（HLM）和潜在增长模型 来评估这些关系随时间的变化。

DESCRIPTION (Adapted from applicant's abstract): A 3-site longitudinal study is proposed in which the impact of caregiver mental health on the quality of care providers to elderly family members will be examined. Existing research indicated that substantial percentages of caregivers are emotionally distressed by the caregiving experience in terms of depressive symptomatology, Categories of data to be collected include predisposing factors (e.g., care recipient impairment, caregiver physical health and personal resources, exogenous life events), caregiver mental health status (depression, anger, anxiety, and cogntive impairment), and quality of care outcomes (operationalized as physical and psychological abuse and neglect and/or financial exploitation). The applicants hypothesize that caregiver mental health factors will mediate associations between predisposing factors and quality of care. It is also predicted that caregiver cognitive impairment will have both direct and moderating effects (through espects of caregiver mental health) on quality of care. Multisample analysis of covariance structures will assess measurement equivalency between caregivers and care recipients. Structural equations modeling (SEM) will be employed: a) at each measurement point for testing, refinement, and cross-validation of the proposed model, and b) to assess predictive relationships between the model's components. SEM-based Hierarchical Linear Modeling (HLM) and latent growth modeling will be used to assess changes in those relationships over time.