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

作者信息

Saha Koustuv, Weber Ingmar, Birnbaum Michael L, De Choudhury Munmun

机构信息

School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States.

Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.

出版信息

J Med Internet Res. 2017 May 8;19(5):e156. doi: 10.2196/jmir.6815.


DOI:10.2196/jmir.6815
PMID:28483739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5440734/
Abstract

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 R=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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eff/5440734/f2c9d3dcaede/jmir_v19i5e156_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eff/5440734/f2c9d3dcaede/jmir_v19i5e156_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eff/5440734/f2c9d3dcaede/jmir_v19i5e156_fig1.jpg

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

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[9]
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本文引用的文献

[1]
Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout.

JMIR Public Health Surveill. 2016-3-31

[2]
Evaluation of an Online Campaign for Promoting Help-Seeking Attitudes for Depression Using a Facebook Advertisement: An Online Randomized Controlled Experiment.

JMIR Ment Health. 2015-3-18

[3]
Comprehensive Versus Usual Community Care for First-Episode Psychosis: 2-Year Outcomes From the NIMH RAISE Early Treatment Program.

Am J Psychiatry. 2016-4-1

[4]
Beliefs and attitudes towards mental illness: an examination of the sex differences in mental health literacy in a community sample.

PeerJ. 2015-6-9

[5]
The Impact of Mental Illness Stigma on Seeking and Participating in Mental Health Care.

Psychol Sci Public Interest. 2014-10

[6]
Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Lancet. 2015-8-22

[7]
A new source of data for public health surveillance: Facebook likes.

J Med Internet Res. 2015-4-20

[8]
Impact of online resources and social media on help-seeking behaviour in youth with psychotic symptoms.

Early Interv Psychiatry. 2016-10

[9]
Big data. The parable of Google Flu: traps in big data analysis.

Science. 2014-3-14

[10]
Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes.

Prev Med. 2014-6

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