five

Understanding the outcomes and experiences of people who access support programs following a sudden, traumatic bereavement: data extraction for a scoping review

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/understanding-outcomes-experiences-scoping-review/2972485
下载链接
链接失效反馈
官方服务:
资源简介:
Suicide postvention support is recognised as a vital component of suicide prevention. Systematic collection of outcome measures within postvention support allow for service providers to understand the effectiveness and impacts of a service. While many forms of postvention support exists, there is limited understanding around the sensitive and appropriate use of outcomes measures in suicide postvention services. Given this scant understanding, literature from the broader sudden death bereavement research was included to inform the suicide bereavement sector including postvention. This systematic scoping review was informed by the JBI framework, and in alignment with the PRISMA ScR statement. The review sought to explore how programs and interventions that assist individuals bereaved by suicide or other sudden, traumatic deaths gather outcome measures. A search of peer-reviewed literature in was undertaken with MEDLINE, PsycInfo and PsycArticles (hosted by ProQuest), and EBSCOhost, with additional hand-searching. The search strategy identified 1,145 papers, of which 49 met the inclusion criteria after full text screening. Data from the papers were charted into an a priori extraction form, which is the basis of this data set.

自杀善后支持(suicide postvention support)被公认为自杀预防工作的关键组成部分。对善后支持服务中的结局指标(outcome measures)开展系统性收集,能够帮助服务提供者了解服务的有效性与实际影响。尽管当前已存在多种形式的自杀善后支持服务,但学界对于在自杀善后服务中敏感且恰当地运用结局指标的认知仍较为有限。鉴于这一认知空白,本研究纳入了更广泛的突发死亡丧亲研究领域的相关文献,为包括善后支持在内的自杀丧亲服务领域提供参考依据。本系统范围综述(systematic scoping review)基于JBI框架开展,并严格遵循PRISMA范围综述扩展规范(PRISMA ScR)的报告要求。本次综述旨在探究针对因自杀或其他突发性创伤性死亡而遭受丧亲之痛的群体提供援助的项目与干预措施,其结局指标的收集方式。研究团队针对同行评议文献(peer-reviewed literature)开展了系统性检索,检索数据库涵盖MEDLINE、PsycInfo、ProQuest平台收录的PsycArticles以及EBSCOhost,同时辅以人工检索。本次检索共获取1145篇文献,经全文筛选后,最终有49篇符合纳入标准。研究人员将纳入文献的数据整理至预先设定的数据提取表(a priori extraction form)中,本数据集即以此提取表为基础构建而成。
提供机构:
University of New England, Australia
二维码
社区交流群
二维码
科研交流群
商业服务