five

Critical appraisal within sources of evidence.

收藏
Figshare2025-08-18 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Critical_appraisal_within_sources_of_evidence_/29932465
下载链接
链接失效反馈
官方服务:
资源简介:
This study identifies and reports evidence related to key guidelines for intervention programs aimed at reducing social stigma associated with Alzheimer’s Disease. This scoping review followed the methodology of the Joanna Briggs Institute. The databases searched included: SCOPUS, PubMED, Science Direct, Taylor and Francis, Google Scholar, JBI, Prospero, and Cochrane Library. The STROBE statement was used to organize and draft the protocol. Of the 2275 initial studies, 22 articles were identified for the analysis of emerging categories: social stigma assessment, measurement, and intervention strategies. Of the 2275 initial studies, 22 articles were analysed for the purpose of identifying emerging categories: social stigma assessment, measurement and intervention strategies. Programmes against stigma addressed the following aspects: clinical and epidemiological knowledge and information; emotions, care and impact on patients’ lives; general information on the disease; dementia-friendly communities; a multimedia campaign on stigmatising beliefs; digital platforms; support in the arts; knowledge and clinical aspects; bilingual presentations adapted to the culture; and awareness and knowledge about Alzheimer’s disease. The most common strategies were: patient and intergenerational contact, life stories [vignettes], theatre, music, art, adapting content for culture, curriculum work, discussion groups and health education. The evidence suggests that the content of educational programs and interventions should focus on promoting understanding of the disease, working with groups or peers with the same condition, and generating intergenerational contact, affectionate bonds, and emotional expression to reduce social stigma.
创建时间:
2025-08-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作