School of Health and Medical Sciences, Örebro University, Örebro, Sweden.
Palliat Med. 2012 Oct;26(7):930-8. doi: 10.1177/0269216311419987. Epub 2011 Sep 9.
Family members often take on many caring responsibilities, with complex issues and challenges to consider. Feelings of preparedness, competence and reward are identified as concepts that may protect caregiver wellbeing and decrease negative outcomes related to caregiving.
This study aimed to translate, adapt and psychometrically evaluate the Preparedness for Caregiving Scale, Caregiver Competence Scale and Rewards of Caregiving Scale in Swedish family members of patients with life threatening illness.
Correlational.
SETTING/PARTICIPANTS: The study took place in four settings including advanced palliative care. The scales were tested in a sample of 125 family members of persons with life-threatening illness. All three scales were tested in relation to distribution of item and scale scores, missing data patterns, dimensionality, convergent validity and reliability.
The results in this study indicate that the Swedish versions of The Preparedness for Caregiving Scale, Caregiver Competence Scale and Rewards of Caregiving Scale are valid, reliable and user-friendly scales. Confirmatory factor analysis showed that the scales were unidimensional and all demonstrated Cronbach's alpha values of ≥0.9.
As a result of this study it is anticipated that the Preparedness for Caregiving Scale, Caregiver Competence Scale and Rewards of Caregiving Scale could provide a basis for collaborative research between different countries and make international studies more comparable and generalizable despite differences in language and culture.
家庭成员经常承担许多照顾责任,需要考虑复杂的问题和挑战。有准备感、能力感和回报感被认为是可能保护照顾者健康并减少与照顾相关的负面结果的概念。
本研究旨在翻译、改编和心理测量评估在瑞典生命垂危患者的家庭成员中使用的照顾准备量表、照顾者能力量表和照顾回报量表。
相关性。
设置/参与者:该研究在包括晚期姑息治疗在内的四个环境中进行。该量表在 125 名生命垂危患者的家庭成员样本中进行了测试。所有三个量表都与项目和量表得分的分布、缺失数据模式、维度、收敛有效性和可靠性有关。
本研究的结果表明,瑞典版照顾准备量表、照顾者能力量表和照顾回报量表是有效、可靠和易于使用的量表。验证性因子分析表明,这些量表是单维的,所有量表的克朗巴赫α值均≥0.9。
由于这项研究,预计照顾准备量表、照顾者能力量表和照顾回报量表可以为不同国家之间的合作研究提供基础,使国际研究更具可比性和普遍性,尽管存在语言和文化差异。