Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community.
Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community.
复制标题
从不同利益相关者的角度了解医疗保健社交媒体的使用：在线健康社区的内容分析。
DOI：
10.2196/jmir.7087
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发表时间：
2017-04-07
影响因子：
7.4
通讯作者：
Zhang P
中科院分区：
文献类型：
--
作者：
Lu Y;Wu Y;Liu J;Li J;Zhang P
用于健康信息交流和情感沟通的医疗保健社交媒体涉及不同类型的用户，包括患者、护理人员和卫生专业人员。然而，由于隐私保护和专有利益的原因，用户身份数据缺乏，难以识别不同的利益相关者。因此，确定不同利益相关者的关注点以及他们在面对用户发布的大量健康相关信息时如何使用医疗保健社交媒体是一个关键问题。我们的目标是开发一种新的内容分析方法，将文本挖掘技术应用于医疗保健社交媒体，以(1)识别不同的医疗保健利益相关者，(2)确定关注的热点话题，(3)衡量不同利益相关者的情绪表达。我们收集了10年间（2007年1月至2016年10月）在线社区MedHelp.org上肺癌、糖尿病和乳腺癌论坛上39,606名会员发表的138,161条信息作为实验数据。我们利用文本挖掘技术对文本数据进行处理，识别不同的利益相关者，确定与健康相关的热点话题，然后分析情感表达。我们使用期望最大化聚类确定了3个显著不同的利益相关者群体（3个绩效指标：Rand=0.802, Jaccard=0.393, Fowlkes-Mallows=0.537； P<.001），其中患者（24,429/39,606,61.68%）和护理人员（12,232/39,606,30.88%）代表了大多数人群，而专家（2945/39,606,7.43%）。我们确定了5个显著不同的健康相关主题：症状、检查、药物、手术和并发症（Rand=0.783, Jaccard=0.369, Fowlkes-Mallows=0.495； P< 0.001）。患者最关心的是与肺癌相关的症状话题（536/1657,32.34%）、与糖尿病相关的药物话题（1883/5904,31.89%）、与乳腺癌相关的检查话题（8728/ 23934,36.47%）。相比之下，护理人员更关心与肺癌相关的药物话题（300/2721,11.03%比103 /1657,6.58%）、与乳腺癌相关的手术话题（3952/ 13954,28.32%比5822/ 23934,24.33%）和并发症话题（4449/ 25701,17.31%比4070/ 31495,12.92%）。此外，患者（9040/36,081,25.05%）比护理人员（2659/18,470,14.39%）和专科医生（17,943/83,610,21.46%）更容易表达情绪。但患者情绪强度得分（2.46）低于护理人员（4.66）和专科医生（5.14）。特别是，护理人员的消极情绪得分高于积极情绪得分（2.56比2.18），而专家的消极情绪得分则相反（2.62比2.46）。总体而言，与症状、并发症和检查相关的消极信息的比例大于积极信息。药物和手术的情况则相反。趋势分析表明，患者和护理人员的情绪状态逐渐向积极的方向转变。不同疾病论坛中不同利益相关者的兴趣热点和情绪表达差异显著。这些发现有助于改善社交媒体服务，促进不同利益相关者更有效地参与健康信息共享和社会互动。
Health care social media used for health information exchange and emotional communication involves different types of users, including patients, caregivers, and health professionals. However, it is difficult to identify different stakeholders because user identification data are lacking due to privacy protection and proprietary interests. Therefore, identifying the concerns of different stakeholders and how they use health care social media when confronted with huge amounts of health-related messages posted by users is a critical problem. We aimed to develop a new content analysis method using text mining techniques applied in health care social media to (1) identify different health care stakeholders, (2) determine hot topics of concern, and (3) measure sentiment expression by different stakeholders. We collected 138,161 messages posted by 39,606 members in lung cancer, diabetes, and breast cancer forums in the online community MedHelp.org over 10 years (January 2007 to October 2016) as experimental data. We used text mining techniques to process text data to identify different stakeholders and determine health-related hot topics, and then analyzed sentiment expression. We identified 3 significantly different stakeholder groups using expectation maximization clustering (3 performance metrics: Rand=0.802, Jaccard=0.393, Fowlkes-Mallows=0.537; P<.001), in which patients (24,429/39,606, 61.68%) and caregivers (12,232/39,606, 30.88%) represented the majority of the population, in contrast to specialists (2945/39,606, 7.43%). We identified 5 significantly different health-related topics: symptom, examination, drug, procedure, and complication (Rand=0.783, Jaccard=0.369, Fowlkes-Mallows=0.495; P<.001). Patients were concerned most about symptom topics related to lung cancer (536/1657, 32.34%), drug topics related to diabetes (1883/5904, 31.89%), and examination topics related to breast cancer (8728/23,934, 36.47%). By comparison, caregivers were more concerned about drug topics related to lung cancer (300/2721, 11.03% vs 109/1657, 6.58%), procedure topics related to breast cancer (3952/13,954, 28.32% vs 5822/23,934, 24.33%), and complication topics (4449/25,701, 17.31% vs 4070/31,495, 12.92%). In addition, patients (9040/36,081, 25.05%) were more likely than caregivers (2659/18,470, 14.39%) and specialists (17,943/83,610, 21.46%) to express their emotions. However, patients’ sentiment intensity score (2.46) was lower than those of caregivers (4.66) and specialists (5.14). In particular, for caregivers, negative sentiment scores were higher than positive scores (2.56 vs 2.18), with the opposite among specialists (2.62 vs 2.46). Overall, the proportion of negative messages was greater than that of positive messages related to symptom, complication, and examination. The pattern was opposite for drug and procedure topics. A trend analysis showed that patients and caregivers gradually changed their emotional state in a positive direction. The hot topics of interest and sentiment expression differed significantly among different stakeholders in different disease forums. These findings could help improve social media services to facilitate diverse stakeholder engagement for health information sharing and social interaction more effectively.