Exploring Public Perception of Palliative Care and Hospice: Sentiment Analysis and Topic Modeling of YouTube Comments.

IF 1.9
Hana Lee, Kyungmi Woo
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Abstract

This study explores public perceptions of palliative and hospice care through analysis of user comments on Korean-language YouTube videos. A total of 12,155 comments were collected from 54 videos retrieved using the keywords "palliative care" and "hospice." The search was conducted between September 11 and October 31, 2024. Sentiment analysis using a Korean-language sentiment lexicon revealed that the majority of comments were neutral (57.8%), followed by negative (23.0%) and positive (19.2%) sentiments. Topic modeling using the Latent Dirichlet Allocation method identified 13 recurring themes: religious beliefs, diagnosis and treatments, pain control, family caregiving, death with dignity, emotional farewell, social support and policy, life reflection, meaning of end-of-life care, hope, appreciation, decision-making, and remembrance and mourning. Nurses play an important role in addressing the public misconceptions and emotional concerns regarding end-of-life care that are frequently expressed on online platforms. Insights from this study can support the development of tailored communication strategies, promote early advance care planning, and inform informatics-based interventions to improve equitable access to hospice and palliative care. These findings also highlight the potential of social media analysis as a tool for understanding public needs and guiding data-informed nursing practice.

探索公众对姑息治疗和临终关怀的看法:YouTube评论的情绪分析和话题建模。
本研究透过分析YouTube韩文影片的使用者评论,探讨大众对缓和疗护与安宁疗护的看法。使用关键词“姑息治疗”和“临终关怀”检索的54个视频共收集了12155条评论。搜寻工作于2024年9月11日至10月31日进行。使用韩国语情绪词典进行情绪分析的结果显示,大多数评论是“中性”(57.8%),其次是“否定”(23.0%)和“肯定”(19.2%)。使用潜在狄利克雷分配方法的主题建模确定了13个反复出现的主题:宗教信仰、诊断和治疗、疼痛控制、家庭照顾、有尊严的死亡、情感告别、社会支持和政策、生命反思、临终关怀的意义、希望、感激、决策、纪念和哀悼。护士在解决公众对临终关怀的误解和情感担忧方面发挥着重要作用,这些误解和情感担忧经常在在线平台上表达。本研究的见解可以支持量身定制的沟通策略的发展,促进早期护理计划,并为基于信息学的干预提供信息,以改善安宁疗护和缓和疗护的公平获取。这些发现还强调了社交媒体分析作为了解公众需求和指导数据知情护理实践的工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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