Suppr超能文献

公众对姑息治疗和临终关怀的看法:使用主题建模和多类情感分析的社交媒体内容分析

Public Perspectives on Palliative and Hospice Care: Social Media Content Analysis Using Topic Modeling and Multiclass Sentiment Analysis.

作者信息

Kim Aeri, Woo Kyungmi

机构信息

The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.

College of Nursing, Seoul National University, Seoul, Republic of Korea.

出版信息

J Med Internet Res. 2025 Sep 16;27:e70836. doi: 10.2196/70836.

Abstract

BACKGROUND

Palliative care enhances dignity and quality of life for patients with serious illnesses by managing distressing symptoms and supporting families. However, inadequate awareness and misconceptions often hinder patients and their families from accessing these services. Understanding of public perspectives on palliative and hospice care can facilitate the development of targeted educational resources and awareness campaigns. As social media becomes an important source of health information, analyzing such publicly available web-based sources can yield valuable insights into perceptions of palliative and hospice care.

OBJECTIVE

This study analyzed public perspectives posted on a popular social media platform in South Korea to understand perceptions, challenges, needs, and sentiments related to palliative and hospice care.

METHODS

Data were collected from Naver Knowledge iN, a popular web-based public forum in South Korea, encompassing 34,501 texts posted between 2002 and 2024. After applying inclusion and exclusion criteria, 9072 relevant perspectives were analyzed. Contextualized topic modeling was used to identify themes, and the optimal model was selected based on coherence, diversity scores, and expert feedback. In addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass sentiment model's performance was evaluated using accuracy, precision, recall, and F-score.

RESULTS

Social media discussions on palliative and hospice care have increased steadily over time. Topic modeling identified 9 themes, with "ethical and legal concerns" and "medical care in hospitals" peaking in recent years, suggesting growing public interest in these areas. "Emotional and psychological support" emerged as the predominant theme, reflecting a significant need for psychosocial assistance among patients and their families. Sentiment analysis revealed that "sadness," "anxiety," and "neutral" were common emotions across many topics. Notably, themes such as "emotional and psychological support," "disease treatment outcomes and prognosis," "medical care in hospitals," "financial issues," and "symptom management" were predominantly associated with "sadness," while "administrative and volunteer services," "ethical and legal concerns," and "nutrition management" were more closely linked with "anxiety."

CONCLUSIONS

This study highlights public concerns about palliative and hospice care in South Korea, including ethical dilemmas, caregiving burden, and emotional distress. Findings underscore the need for communication strategies that address informational, emotional, and psychological needs. Culturally sensitive, interactive communication tools, such as artificial intelligence-powered chatbots and public education campaigns, may help dispel misconceptions and promote timely, informed decisions about palliative and hospice care.

摘要

背景

姑息治疗通过管理令人痛苦的症状并支持患者家属,提高重症患者的尊严和生活质量。然而,认知不足和误解常常阻碍患者及其家属获得这些服务。了解公众对姑息治疗和临终关怀的看法有助于开发有针对性的教育资源并开展宣传活动。随着社交媒体成为健康信息的重要来源,分析此类公开的网络资源可以深入了解对姑息治疗和临终关怀的看法。

目的

本研究分析了在韩国一个热门社交媒体平台上发布的公众观点,以了解与姑息治疗和临终关怀相关的看法、挑战、需求和情绪。

方法

数据收集自韩国热门的网络公共论坛Naver Knowledge iN,涵盖2002年至2024年期间发布的34501篇文本。在应用纳入和排除标准后,对9072条相关观点进行了分析。使用情境主题建模来识别主题,并根据连贯性、多样性得分和专家反馈选择最佳模型。此外,使用微调后的韩语双向编码器表征来自变压器(KoBERT)模型的多类别情感分析将情绪分为6类。使用准确率、精确率、召回率和F分数评估多类别情感模型的性能。

结果

随着时间的推移,社交媒体上关于姑息治疗和临终关怀的讨论稳步增加。主题建模确定了9个主题,其中“伦理和法律问题”以及“医院医疗护理”近年来达到峰值,表明公众对这些领域的兴趣日益浓厚。“情感和心理支持”成为主要主题,反映出患者及其家属对心理社会援助的巨大需求。情感分析显示,“悲伤”“焦虑”和“中性”是许多主题中常见的情绪。值得注意的是,“情感和心理支持”“疾病治疗结果和预后”“医院医疗护理”“财务问题”和“症状管理”等主题主要与“悲伤”相关,而“行政和志愿服务”“伦理和法律问题”以及“营养管理”则与“焦虑”联系更为紧密。

结论

本研究突出了韩国公众对姑息治疗和临终关怀的关注,包括伦理困境、护理负担和情感困扰。研究结果强调需要采取能够满足信息、情感和心理需求的沟通策略。具有文化敏感性的互动沟通工具,如人工智能驱动的聊天机器人和公众教育活动,可能有助于消除误解,并促进对姑息治疗和临终关怀做出及时、明智的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4b1/12485256/e45c249d4425/jmir_v27i1e70836_fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验