Development of the 'Culturally Informed Ecological Model of Grief' - a national qualitative study of bereavement experiences among ethnically diverse communities.

IF 8.7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Catriona R Mayland, Emily Fisher, Adejoke O Oluyase, Nikel-Shaniece Hector-Jack, Toslima Khatun, Rukia Saleem, Naureen Khan, Shirin Shahid, Riffat Mahmood, Gurpreet Grewal-Santini, Monika Afolabi, Candice Wang, Sarah Ng, Rashmi Kumar, Katherine Bristowe, Emily Harrop, Zoebia Islam, Jonathan Koffman, Gurch Randhawa, Lucy E Selman, Sabrina Bajwah
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引用次数: 0

Abstract

Background: Among people from ethnically diverse communities, evidence regarding bereavement experiences and support needs is limited; there are known inequities in access to formal bereavement support. Our study aimed to address this gap, provide new theoretical insights into grief, and inform more equitable bereavement support services.

Methods: A national, qualitative study was conducted with bereaved participants purposively sampled by ethnicity, age, sex, relationship to the decedent, and nature of death. Community Researchers from ethnically diverse communities, trained in research methods, were integral to recruitment, data collection and analysis. Focus groups and interviews were conducted in participants' preferred language and analysed using framework analysis. A novel conceptual grief model was developed through inductive analysis.

Results: One-hundred and twenty people (female = 88 (73.3%), aged 21-81 years) participated in nine focus groups (n = 67 participants) and 53 one-to-one interviews. Participants were of Bangladeshi, Indian, Chinese, Pakistani, Black African, Black Caribbean, Arab, White Irish or Polish ethnicity. They were bereaved due to adult or child deaths, sudden and anticipated deaths. Sixty-nine per cent were first-generation migrants, 55% had a first language other than English, and 38% did not have access to education beyond primary or secondary school.

Conclusions: Racism was evident across multiple settings and closely intertwined with bereavement, compounding the emotional burden of grief. This study represents the largest qualitative investigation of bereavement among ethnically diverse communities in UK healthcare to date, providing a robust evidence base for improving equity in support. Bereavement services must prioritise cultural safety and actively address structural racism. The 'Culturally Informed Ecological Model of Grief' offers a new framework guiding more equitable bereavement support, relevant across national and international contexts.

“哀伤的文化知情生态模式”的发展-一项针对不同种族社区的丧亲经历的全国性定性研究。
背景:在多种族社区的人群中,关于丧亲经历和支持需求的证据有限;众所周知,在获得正式的丧亲支助方面存在不公平现象。我们的研究旨在解决这一差距,为悲伤提供新的理论见解,并为更公平的丧亲支持服务提供信息。方法:对丧失亲人的参与者进行全国性的定性研究,有目的地按种族、年龄、性别、与死者的关系和死亡性质进行抽样。社区研究人员来自不同种族的社区,接受过研究方法的培训,是招聘、数据收集和分析不可或缺的一部分。焦点小组和访谈以参与者的首选语言进行,并使用框架分析进行分析。通过归纳分析,提出了一种新的概念悲伤模型。结果:共有120人(女性88人,占73.3%)参加了9个焦点小组(n = 67人)和53次一对一访谈。与会者有孟加拉国人、印度人、中国人、巴基斯坦人、非洲黑人、加勒比黑人、阿拉伯人、爱尔兰白人或波兰人。他们是由于成人或儿童死亡、突然死亡和预期死亡而失去亲人的。69%的人是第一代移民,55%的人的第一语言不是英语,38%的人只接受过小学或中学教育。结论:种族主义在多种情况下都很明显,与丧亲之痛密切相关,加剧了悲伤的情感负担。这项研究代表了迄今为止英国医疗保健中种族多样化社区中最大的丧亲定性调查,为改善支持的公平性提供了强有力的证据基础。丧亲服务必须优先考虑文化安全,积极解决结构性种族主义问题。“悲伤的文化信息生态模型”提供了一个新的框架,指导更公平的丧亲支持,与国家和国际背景相关。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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