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公众对降糖药物的看法:推特帖子的探索性分析

Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts.

作者信息

Golder Su, Bach Millie, O'Connor Karen, Gross Robert, Hennessy Sean, Gonzalez Hernandez Graciela

机构信息

Department of Health Sciences, University of York, York, United Kingdom.

Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, United States.

出版信息

JMIR Diabetes. 2021 Jan 26;6(1):e24681. doi: 10.2196/24681.

Abstract

BACKGROUND

Diabetes mellitus is a major global public health issue where self-management is critical to reducing disease burden. Social media has been a powerful tool to understand public perceptions. Public perception of the drugs used for the treatment of diabetes may be useful for orienting interventions to increase adherence.

OBJECTIVE

The aim of this study was to explore the public perceptions of anti-diabetic drugs through the analysis of health-related tweets mentioning such medications.

METHODS

This study uses an infoveillance social listening approach to monitor public discourse using Twitter data. We coded 4000 tweets from January 1, 2019 to October 1, 2019 containing key terms related to anti-diabetic drugs by using qualitative content analysis. Tweets were coded for whether they were truly about an anti-diabetic drug and whether they were health-related. Health-related tweets were further coded based on who was tweeting, which anti-diabetic drug was being tweeted about, and the content discussed in the tweet. The main outcome of the analysis was the themes identified by analyzing the content of health-related tweets on anti-diabetic drugs.

RESULTS

We identified 1664 health-related tweets on 33 anti-diabetic drugs. A quarter (415/1664) of the tweets were confirmed to have been from people with diabetes, 17.9% (298/1664) from people posting about someone else, and 2.7% (45/1664) from health care professionals. However, the role of the tweeter was unidentifiable in two-thirds of the tweets. We identified 13 themes, with the health consequences of the cost of anti-diabetic drugs being the most extensively discussed, followed by the efficacy and availability. We also identified issues that patients may conceal from health care professionals, such as purchasing medications from unofficial sources.

CONCLUSIONS

This study uses an infoveillance approach using Twitter data to explore public perceptions related to anti-diabetic drugs. This analysis gives an insight into the real-life issues that an individual faces when taking anti-diabetic drugs, and such findings may be incorporated into health policies to improve compliance and efficacy. This study suggests that there is a fear of not having access to anti-diabetic drugs due to cost or physical availability and highlights the impact of the sacrifices made to access anti-diabetic drugs. Along with screening for diabetes-related health issues, health care professionals should also ask their patients about any non-health-related concerns regarding their anti-diabetic drugs. The positive tweets about dietary changes indicate that people with type 2 diabetes may be more open to self-management than what the health care professionals believe.

摘要

背景

糖尿病是一个重大的全球公共卫生问题,自我管理对于减轻疾病负担至关重要。社交媒体一直是了解公众认知的有力工具。公众对用于治疗糖尿病的药物的认知可能有助于指导干预措施以提高依从性。

目的

本研究旨在通过分析提及此类药物的与健康相关的推文来探索公众对降糖药物的认知。

方法

本研究采用信息监测社会倾听方法,利用推特数据监测公众话语。我们通过定性内容分析,对2019年1月1日至2019年10月1日期间包含与降糖药物相关关键词的4000条推文进行编码。推文编码内容包括是否真的是关于一种降糖药物以及是否与健康相关。与健康相关的推文进一步根据推文发布者、所提及的降糖药物以及推文中讨论的内容进行编码。分析的主要结果是通过分析与降糖药物相关的健康推文内容确定的主题。

结果

我们识别出1664条关于33种降糖药物的与健康相关的推文。四分之一(415/1664)的推文被证实来自糖尿病患者,17.9%(298/1664)来自发布他人情况的人,2.7%(45/1664)来自医疗保健专业人员。然而,三分之二的推文无法确定发布者的身份。我们识别出13个主题,其中降糖药物成本的健康后果讨论最为广泛,其次是疗效和可及性。我们还识别出患者可能向医疗保健专业人员隐瞒的问题,例如从不正规渠道购买药物。

结论

本研究采用信息监测方法,利用推特数据探索与降糖药物相关的公众认知。该分析深入了解了个人在服用降糖药物时面临的现实问题,这些发现可纳入卫生政策以提高依从性和疗效。本研究表明,人们因成本或实际可及性而担心无法获得降糖药物,并突出了为获取降糖药物所做出牺牲的影响。除了筛查与糖尿病相关的健康问题外,医疗保健专业人员还应询问患者关于其降糖药物的任何非健康相关问题。关于饮食变化的积极推文表明,2型糖尿病患者可能比医疗保健专业人员认为的更愿意进行自我管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45a/7872831/4c20cbb29ea9/diabetes_v6i1e24681_fig1.jpg

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