A Brief Report on Older Working Caregivers: Developing a Typology of Work Environments.

Dawn C Carr, Kendra Jason, Miles Taylor, Tiffany R Washington
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引用次数: 3

Abstract

Objectives: A growing proportion of the U.S. labor force juggles paid work with family caregiving of older adults. However, no research has examined caregivers' work environments. The purpose of this brief report is to develop typologies of the work environments of family caregivers.

Methods: This study used data drawn from the 2008-2012 waves of the Health and Retirement Study. Our sample includes employed individuals who also provided regular help with daily activities to a parent or spouse (n = 976). We used latent class analysis to develop caregiver work environment typologies.

Results: Our analyses revealed 4 typologies among caregivers: (a) high-quality work environments (n = 340; 35%); (b) average work environments with high job lock (n = 293; 30%); (c) low-quality work environments (n = 203; 21%); and (d) high personal interference in supportive work environments (n = 140; 14%). Although only 21% of working caregivers were in a low-quality work environment (Type C), descriptive results suggest that these workers were most likely to be minorities who needed to work for financial reasons, reporting the highest number of health problems, and the most work hours.

Discussion: Our findings provide insights into the types of environments that caregivers work in, and the characteristics of individuals in those environments. We discuss implications of our findings for future research and work-based policy development.

关于老年工作照顾者的简要报告:发展工作环境的类型学。
目的:越来越多的美国劳动力要兼顾有偿工作和家庭照顾老年人。然而,没有研究调查过护理人员的工作环境。这份简短报告的目的是发展家庭照顾者工作环境的类型学。方法:本研究使用了2008-2012年健康与退休研究的数据。我们的样本包括受雇的个人,他们也定期帮助父母或配偶进行日常活动(n = 976)。我们使用潜在类别分析来发展护理人员工作环境类型学。结果:我们的分析揭示了护理人员的4种类型:(a)高质量的工作环境(n = 340;35%);(b)工作锁定度高的平均工作环境(n = 293);30%);(c)低质量的工作环境(n = 203;21%);(d)支持性工作环境中的高个人干预(n = 140;14%)。虽然只有21%的工作护理人员处于低质量的工作环境(C类),但描述性结果表明,这些工人最有可能是出于经济原因需要工作的少数民族,报告的健康问题最多,工作时间最长。讨论:我们的研究结果对护理人员工作的环境类型以及这些环境中的个人特征提供了见解。我们讨论了我们的发现对未来研究和基于工作的政策制定的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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