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通过交叉点关爱照顾者:苏格兰格拉斯哥照顾者支持服务的二次数据分析。

Cutting through the intersections to care for caregivers: Secondary data analysis of a carers support service in Glasgow, Scotland.

机构信息

School of Medicine, Dentistry & Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.

NHS Greater Glasgow and Clyde, Glasgow, UK.

出版信息

Health Soc Care Community. 2022 Jul;30(4):1334-1343. doi: 10.1111/hsc.13463. Epub 2021 May 31.

DOI:10.1111/hsc.13463
PMID:34060160
Abstract

As the number of people living longer with life-limiting conditions grows, so too does the number of caregivers and the complexity of the caring role. To understand more about the role and how caregivers can be supported, local and national registers have been created that collect data on caregivers. Our objective was to undertake comparative analysis of female and male adult caregiver assessments from a caregiver database created from a carers support service running in Glasgow, Scotland. Assessments were carried out over a 12-month period (01/04/17-29/03/18). We aimed to identify the prevalence of negative consequences of caring through descriptive statistical, comparative analysis. Seven hundred and eighty-three assessments were eligible for inclusion. In our dataset, 69% were female (n = 552), and 29% were male (n = 231). Female caregivers were more likely to be of working age but unemployed (p = 0.03) and experiencing mental ill-health (p = 0.011). Male caregivers were more likely to be retired (p < 0.001), caring for a parent (p = 0.017) and living with heart disease (p = 0.0004), addiction issues (p = 0.013) or diabetes (p = 0.042) than female caregivers. For caregivers using this support service, female and male caregivers experienced, recognised or reported negative impacts from caring on their personal identity, social life, ability to self-care and relationships similarly. Furthermore, a caregiver whose relationships had been negatively impacted was 13.8 times more likely (p > 0.00) to report a reduction in psychological well-being. Sex disaggregated data are an important consideration for caregiver research due to socio-political influences that impact caring roles and expectations. Disaggregating data by sex allow researchers to understand how the caring role differs between subsets and allow for the development of more targeted, sensitive support.

摘要

随着患有绝症的人数的增加,照顾者的人数和照顾角色的复杂性也在增加。为了更深入地了解照顾者的角色以及如何为他们提供支持,已经创建了地方和国家登记处,以收集有关照顾者的数据。我们的目的是对来自苏格兰格拉斯哥的照顾者支持服务创建的照顾者数据库中的女性和男性成年照顾者评估进行比较分析。评估在 12 个月的时间内进行(2017 年 4 月 1 日至 2018 年 3 月 29 日)。我们旨在通过描述性统计和比较分析来确定照顾的负面影响的普遍程度。有 783 项评估符合入选标准。在我们的数据集,69%是女性(n=552),29%是男性(n=231)。女性照顾者更有可能处于工作年龄但失业(p=0.03),并且患有心理健康问题(p=0.011)。男性照顾者更有可能退休(p<0.001),照顾父母(p=0.017),患有心脏病(p=0.0004),药物成瘾问题(p=0.013)或糖尿病(p=0.042),与女性照顾者相比。对于使用这种支持服务的照顾者,男性和女性照顾者在个人身份、社会生活、自我护理能力和人际关系方面都经历、认识或报告了照顾带来的负面影响。此外,一个关系受到负面影响的照顾者报告心理健康状况下降的可能性是 13.8 倍(p>0.00)。由于影响照顾角色和期望的社会政治影响,按性别划分的数据是照顾者研究的一个重要考虑因素。按性别划分数据可以帮助研究人员了解照顾角色在不同亚组之间的差异,并为更有针对性、更敏感的支持提供依据。

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