Patterns of relationships between background characteristics, coping, and stroke caregiver outcomes.

Patterns of relationships between background characteristics, coping, and stroke caregiver outcomes.
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DOI:
10.1310/tsr1704-308
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发表时间:
2010-07
影响因子:
2.2
通讯作者:
Houle TT
Houle TT
中科院分区:
医学3区
文献类型:
--
作者:
King RB;Hartke RJ;Houle TT

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关于中风照顾者结果的中介因素或结果预测因素的关系模式知之甚少。我们研究了变量集之间的关系:照顾者和中风幸存者的特点,应对(建议调解人),照顾者的结果。我们评估了253个二分之一的急性康复出院前。结果包括抑郁、焦虑、准备、生活改变和家庭功能。应对包括解决问题,照顾者的评价,和未满足的资源需求。多变量典型相关分析之间的变量集进行计算,以确定独特的模式的关系。发现了六种显著关系模式(R= 0.30至0.84,ps <0.01 - 0.02)。最强的关系是更大的威胁评估和消极的生活变化,更大的焦虑,和更低的应对准备(p<0.01)。照顾者特征(非白人,配偶照顾者)与几个结果(积极的生活变化,较低的焦虑和较低的健康家庭功能)显著相关(R= 0.43,p <0.01),并且在控制中介效应后仍然显著(R= 0.32,p<0.02)。研究结果表明,各种模式的关系,为个性化的早期护理干预提供指导。临床医生可以利用护理人员的优势,同时确定适应的威胁,以制定促进健康结果的干预措施。
Little is known about mediators of stroke caregiver outcomes or patterns of relationships of outcome predictors. We examined relationships between the variable sets: caregiver and stroke survivor characteristics, coping (proposed mediators), and caregiver outcomes. We assessed 253 dyads prior to discharge from acute rehabilitation. Outcomes were depression, anxiety, preparedness, life change, and family functioning. Coping included problem-solving, caregiver appraisal, and unmet resource needs. Multivariate canonical correlation analyses were computed between the sets of variables to identify unique patterns of relationships. Six patterns of significant relationships were found (R=.30 to .84, ps <.01–.02). The strongest relationship was that between greater threat appraisal and negative life change, greater anxiety, and lower caregiving preparedness (p<.01). Caregiver characteristics (nonwhite, spousal caregivers) were related significantly to several outcomes (positive life change, lower anxiety, and less healthy family functioning) (R=.43, p <.01) and remained significant after controlling for the effect of mediators (R=.32, p<.02). Findings suggest various patterns of relationships that provide guidance for individualizing early caregiver intervention. Clinicians can build on caregivers’ strengths while identifying threats to adaptation to tailor interventions that promote healthy outcomes.
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