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Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates

机译:通过利用Facebook广告估算来表征Facebook用户中的精神分裂症意识

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Background: Schizophrenia is a rare but devastating condition, affecting about 1% of the world’s population and resulting in about 2% of the US health care expenditure. Major impediments to appropriate and timely care include misconceptions, high levels of stigma, and lack of public awareness. Facebook offers novel opportunities to understand public awareness and information access related to schizophrenia, and thus can complement survey-based approaches to assessing awareness that are limited in scale, robustness, and temporal and demographic granularity.Objective: The aims of this study were to (1) construct an index that measured the awareness of different demographic groups around schizophrenia-related information on Facebook; (2) study how this index differed across demographic groups and how it correlated with complementary Web-based (Google Trends) and non–Web-based variables about population well-being (mental health indicators and infrastructure), and (3) examine the relationship of Facebook derived schizophrenia index with other types of online activity as well as offline health and mental health outcomes and indicators.Methods: Data from Facebook’s advertising platform was programmatically collected to compute the proportion of users in a target demographic group with an interest related to schizophrenia. On consultation with a clinical expert, several topics were combined to obtain a single index measuring schizophrenia awareness. This index was then analyzed for differences across US states, gender, age, ethnic affinity, and education level. A statistical approach was developed to model a group’s awareness index based on the group’s characteristics.Results: Overall, 1.03% of Facebook users in the United States have a schizophrenia-related interest. The schizophrenia awareness index (SAI) is higher for females than for males (1.06 vs 0.97, P<.001), and it is highest for the people who are aged 25-44 years (1.35 vs 1.03 for all ages, P<.001). The awareness index drops for higher education levels (0.68 for MA or PhD vs 1.92 for no high school degree, P<.001), and Hispanics have the highest level of interest (1.57 vs 1.03 for all ethnic affinities, P<.001). A regression model fit to predict a group’s interest level achieves an adjusted R2=0.55. We also observe a positive association between our SAI and mental health services (or institutions) per 100,000 residents in a US state (Pearson r=.238, P<.001), but a negative association with the state-level human development index (HDI) in United States (Pearson r=?.145, P<.001) and state-level volume of mental health issues in United States (Pearson r=?.145, P<.001).Conclusions: Facebook’s advertising platform can be used to construct a plausible index of population-scale schizophrenia awareness. However, only estimates of awareness can be obtained, and the index provides no information on the quality of the information users receive online.
机译:背景:精神分裂症是一种罕见但具有破坏性的疾病,影响了全世界约1%的人口,并造成了美国2%的医疗保健支出。适当和及时护理的主要障碍包括误解,污名化程度高以及公众意识不足。 Facebook提供了新的机会来了解与精神分裂症相关的公众意识和信息访问,因此可以补充基于调查的方法来评估规模,健壮性以及时间和人口粒度方面的意识。目的:本研究的目的是( 1)建立一个指标,用于衡量Facebook上有关精神分裂症相关信息的不同人口群体的意识; (2)研究该指数在不同人群之间的差异,以及与基于Web的互补性(Google趋势)和基于非Web的有关人口福祉的变量(心理健康指标和基础设施)之间的关系,以及(3)检查Facebook衍生的精神分裂症指数与其他类型的在线活动以及离线健康和心理健康结果和指标之间的关系。方法:以编程方式收集来自Facebook广告平台的数据,以计算目标人群中感兴趣的用户比例精神分裂症。经与临床专家协商,将多个主题组合在一起,以获得衡量精神分裂症意识的单一指标。然后对该指数进行分析,以了解美国各州,性别,年龄,种族亲和力和受教育程度的差异。开发了一种统计方法,可以根据小组的特征为小组的意识指数建模。结果:总体而言,美国有1.03%的Facebook用户与精神分裂症相关。女性的精神分裂症意识指数(SAI)高于男性(1.06 vs 0.97,P <.001),并且在25-44岁年龄段的人群中最高(所有年龄段的1.35 vs 1.03,P <。 001)。高等教育水平的意识指数下降(MA或博士学位为0.68,非高中学位为1.92,P <.001),而西班牙裔的兴趣水平最高(所有族裔的兴趣为1.57 vs 1.03,P <.001) 。拟合模型可以预测群体的兴趣水平,因此调整后的R2 = 0.55。我们还观察到美国州每100,000名居民的SAI与心理健康服务(或机构)之间存在正相关(Pearson r = .238,P <.001),而与州级人类发展指数却存在负相关( HDI)(Pearson r = ?. 145,P <.001)和州一级的心理健康问题(Pearson r = ?. 145,P <.001)。结论:Facebook的广告平台可以用于构建合理的人口规模精神分裂症意识指数。但是,只能获得意识的估计,并且该索引不提供有关用户在线接收的信息质量的信息。

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