Suppr超能文献

使用 Instagram 内容分析来描述急性髓细胞白血病的体验。

Characterising experiences with acute myeloid leukaemia using an Instagram content analysis.

机构信息

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Department of Haematology, The Alfred Hospital, Melbourne, Victoria, Australia.

出版信息

PLoS One. 2021 May 3;16(5):e0250641. doi: 10.1371/journal.pone.0250641. eCollection 2021.

Abstract

Instagram has more than one billion monthly users, which presents a unique research opportunity particularly in rare diseases or hard to reach populations. This study focuses on acute myeloid leukaemia, a rare haematological malignancy and aims to characterise who posts acute myeloid leukaemia-related content and the type of content created. The findings can provide information and a method for future studies, particularly those focused on online or social media based interventions. Acute myeloid leukaemia-related Instagram posts were identified by searching specific and relevant hashtags (#). A content analysis systematically classified themes in the data. A convenience sample of 100 posts (138 photos) were manually extracted and coded. Data are described using descriptive statistics and demonstrated by qualitative examples. The most frequent users in our sample were patients (66%), patient support networks (24%) and professional organisations (10%). Patients who were communicating their health update (31%) were the most frequently posted content and 25% of these posts described a symptom experience. Our findings demonstrate that patients and their support networks are frequenting Instagram and therefore may be able to receive and benefit from tailored intervention, however there is an identified gap in health-organisations participating in this virtual online community.

摘要

Instagram 拥有超过 10 亿的月活跃用户,这为研究提供了一个独特的机会,特别是在罕见疾病或难以接触到的人群中。本研究聚焦于急性髓系白血病,这是一种罕见的血液系统恶性肿瘤,旨在描述谁发布了与急性髓系白血病相关的内容,以及所创建的内容类型。研究结果可以为未来的研究提供信息和方法,特别是那些专注于在线或社交媒体干预的研究。通过搜索特定的相关标签(#)来确定与急性髓系白血病相关的 Instagram 帖子。内容分析系统地对数据中的主题进行分类。通过手动提取和编码,从方便的样本中提取了 100 个帖子(138 张照片)。使用描述性统计数据和定性示例来描述数据。在我们的样本中,最常见的用户是患者(66%)、患者支持网络(24%)和专业组织(10%)。发布健康更新的患者(31%)是最常发布的内容,其中 25%的帖子描述了一种症状体验。我们的研究结果表明,患者及其支持网络经常访问 Instagram,因此可能能够接受并受益于量身定制的干预措施,但在参与这个虚拟在线社区的健康组织方面存在明显差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92e8/8092772/68f897028bce/pone.0250641.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验