全球水平甲状腺癌患者的观点和经验:Twitter数据的回顾性描述性研究。

IF 3.3 Q2 ONCOLOGY JMIR Cancer Pub Date : 2023-08-02 DOI:10.2196/48786
Sununtha Meksawasdichai, Tassanee Lerksuthirat, Boonsong Ongphiphadhanakul, Chutintorn Sriphrapradang
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引用次数: 0

摘要

背景:Twitter已经成为一个受欢迎的平台,人们可以在这里就各种话题和情绪发布自己的日常经历和观点。癌症患者的推文可以让我们了解他们的需求。然而,利用Twitter数据来了解癌症患者需求的研究有限,尽管该平台每天都会发布大量与健康相关的数据。目的:本研究旨在揭示利用Twitter数据在全球范围内了解甲状腺癌患者的观点和经历的潜力。方法:本回顾性描述性研究使用推特抓取工具收集2020年与甲状腺癌相关的推特。只包括英语tweet,并执行数据预处理以删除无关tweet、重复tweet和转发tweet。根据内容,推文和Twitter用户都被手动分为不同的组。每条推文都经过情绪分析,并被分类为积极、中性或消极。结果:共分析了13135条与甲状腺癌相关的推文。这些推文的作者分别包括甲状腺癌患者(3225条推文,24.6%)、患者家属和朋友(2449条推文,18.6%)、医学期刊和媒体(1733条推文,13.2%)、卫生保健专业人员(1093条推文,8.3%)和医疗卫生组织(940条推文,7.2%)。讨论最多的话题与癌症生活(3650条推文,27.8%)、治疗(2891条推文,22%)、诊断(1613条推文,12.3%)、风险因素和预防(1137条推文,8.7%)以及研究(953条推文,7.3%)有关。平均每天发布36条与甲状腺癌有关的推文。值得注意的是,一部关于甲状腺癌的电影的上映,以及一名新闻记者个人甲状腺癌诊断的公开披露,导致推文的数量大幅上升。从情绪分析来看,53.5%(7025/ 13135)的推文被归类为中性言论,32.7%(4299/ 13135)的推文表达了负面情绪。甲状腺癌患者的推文中负面情绪的比例最高(1385/3225条推文,42.9%),尤其是在讨论症状时。结论:本研究为利用Twitter数据作为有价值的数据来源来了解甲状腺癌患者的经历提供了新的见解。Twitter可以提供一个机会来提高病人和医生的参与度,或者作为一个潜在的研究数据源。
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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Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.

Background: Twitter has become a popular platform for individuals to broadcast their daily experiences and opinions on a wide range of topics and emotions. Tweets from patients with cancer could offer insights into their needs. However, limited research has been conducted using Twitter data to understand the needs of patients with cancer despite the substantial amount of health-related data posted on the platform daily.

Objective: This study aimed to uncover the potential of using Twitter data to understand the perspectives and experiences of patients with thyroid cancer at a global level.

Methods:  This retrospective descriptive study collected tweets relevant to thyroid cancer in 2020 using the Twitter scraping tool. Only English-language tweets were included, and data preprocessing was performed to remove irrelevant tweets, duplicates, and retweets. Both tweets and Twitter users were manually classified into various groups based on the content. Each tweet underwent sentiment analysis and was classified as either positive, neutral, or negative.

Results: A total of 13,135 tweets related to thyroid cancer were analyzed. The authors of the tweets included patients with thyroid cancer (3225 tweets, 24.6%), patient's families and friends (2449 tweets, 18.6%), medical journals and media (1733 tweets, 13.2%), health care professionals (1093 tweets, 8.3%), and medical health organizations (940 tweets, 7.2%), respectively. The most discussed topics related to living with cancer (3650 tweets, 27.8%), treatment (2891 tweets, 22%), diagnosis (1613 tweets, 12.3%), risk factors and prevention (1137 tweets, 8.7%), and research (953 tweets, 7.3%). An average of 36 tweets pertaining to thyroid cancer were posted daily. Notably, the release of a film addressing thyroid cancer and the public disclosure of a news reporter's personal diagnosis of thyroid cancer resulted in a significant escalation in the volume of tweets. From the sentiment analysis, 53.5% (7025/13,135) of tweets were classified as neutral statements and 32.7% (4299/13,135) of tweets expressed negative emotions. Tweets from patients with thyroid cancer had the highest proportion of negative emotion (1385/3225 tweets, 42.9%), particularly when discussing symptoms.

Conclusions:  This study provides new insights on using Twitter data as a valuable data source to understand the experiences of patients with thyroid cancer. Twitter may provide an opportunity to improve patient and physician engagement or apply as a potential research data source.

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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
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