Assessment of Beliefs and Attitudes About Statins Posted on Twitter A Qualitative Study
Assessment of Beliefs and Attitudes About Statins Posted on Twitter A Qualitative Study
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DOI：
10.1001/jamanetworkopen.2020.8953
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发表时间：
2020-06-25
影响因子：
13.8
通讯作者：
Gonzalez-Hernandez, Graciela
中科院分区：
文献类型：
--
作者：
Golder, Su;O'Connor, Karen;Gonzalez-Hernandez, Graciela
问题Twitter的数据能否为患者对他汀类药物的信念和态度提供有用的见解？结果-这定性研究的11 &x202f;852帖子从Twitter包含一个提到他汀类药物手动分类。在5201个与健康相关的帖子中，通常可以确定谁在发帖（例如，患者或医疗保健专业人员）以及获得内容相关信息（例如，信念和态度，依从性，不良事件和费用）。这意味着Twitter可以作为一个数据源，来寻找可能影响患者关于他汀类药物治疗决定的信念和态度。重要性他汀类药物是用来帮助降低胆固醇水平的，但依从率很差。对药物的态度或信念很重要，因为它们可能与患者的行为有关。目的识别Twitter帖子中提及他汀类药物的健康相关讨论，并分析这些帖子中的内容。设计，设置，和参与者这项定性研究包括11 & x202 f;852职位相关的8他汀类药物之一（7许可在美国使用和5许可在英国）从5月10日收集，2013，到8月28日，2018. Twitter帖子被确定为与健康相关或无关，如果与健康相关，则无论是由他汀类药物用户，认识他汀类药物用户的人，医疗保健专业人员还是未确定。与健康相关的推文按发布的信息类型进行分类，例如对药物的信念，不良事件，问题或药物费用的参考。数据分析时间为2019年1月22日至11月19日。主要成果和措施通过分析内容确定的每个用户类型和类别的帖子数量。结果在11852条关于他汀类药物的Twitter帖子中，5201条（43.9%）与健康有关。最常见的帖子提供了资源信息，例如期刊文章的链接（5201中的1824 [35.1%]）。第二常见的健康相关帖子类型包括对他汀类药物的个人信仰或态度（5201中的1097 [21.1%]）。随后是不良事件的个人经历（353/5201 [6.8%]），关于剂量的讨论（320/5201 [6.2%]）和关于他汀类药物的问题（191/5201 [3.7%]）。帖子显示了对他汀类药物的两极分化的信念和态度，从拯救生命到导致死亡。一些信念，如直接确认使用他汀类药物减轻了不健康饮食的影响，在文献中并没有被广泛强调为常见做法。结论和相关性这一定性内容分析的Twitter帖子有关他汀类药物提供了见解有关他汀类药物的信念。从社交媒体收集的患者观点可能有助于为研究提供信息，并改善公共卫生信息和卫生保健专业人员与patients.This定性研究之间的沟通确定了Twitter帖子中提到他汀类药物的健康相关讨论，并分析了这些帖子中的内容。
Question Can data from Twitter provide useful insights into patient beliefs and attitudes about statins? Findings This qualitative study of 11 & x202f;852 posts from Twitter containing a mention of a statin were manually categorized. In 5201 health-related posts, it was often possible to determine who was posting (eg, patient or health care professional) as well as derive content-relevant information (eg, beliefs and attitudes, adherence, adverse events, and cost). Meaning Twitter may be used as a data source to find beliefs and attitudes that may affect patients' decisions regarding their statin treatment.Importance Statins are prescribed to help lower cholesterol levels but have poor adherence rates. Attitudes or beliefs toward medications are important to ascertain because they may be associated with patient behavior. Objective To identify health-related discussion in Twitter posts mentioning a statin and analyze the content within these posts. Design, Setting, and Participants This qualitative study included 11 & x202f;852 posts related to 1 of 8 statins (7 licensed for use in the United States and 5 licensed in the United Kingdom) collected from May 10, 2013, to August 28, 2018. Twitter posts were identified as health related or not, and if health related, whether they were posted by a statin user, someone who knows a statin user, a health care professional, or undetermined. The health-related tweets were classified by the type of information posted, such as a belief about the medication, an adverse event, a question, or a reference to the cost of the medication. Data were analyzed from January 22 to November 19, 2019. Main Outcomes and Measures The number of posts by each user type identified and the categories identified by analyzing the content. Results Of the 11 852 Twitter posts about statins, 5201 (43.9%) were health related. The most frequent posts provided resource information, such as a link to a journal article (1824 of 5201 [35.1%]). The second most frequent type of health-related posts included personal beliefs or attitudes toward statins (1097 of 5201 [21.1%]). Personal experiences of adverse events (353 of 5201 [6.8%]), discussions about dosage (320 of 5201 [6.2%]), and questions about statins (191 of 5201 [3.7%]) followed. Posts indicated polarized beliefs and attitudes to statins from saving lives to causing death. Some beliefs, such as the direct confirmation that the use of statins mitigates the effects of an unhealthy diet, have not been extensively highlighted as common practice in the literature. Conclusion and Relevance This qualitative content analysis of Twitter posts about statins provides insights into beliefs about statins. Patient perspectives gathered from social media may help to inform research and improve public health messages and communication between health care professionals and patients.This qualitative study identifies health-related discussion in Twitter posts mentioning a statin and analyzes the content within these posts.