Cargando…

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

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. Faceb...

Descripción completa

Detalles Bibliográficos
Autores principales: Saha, Koustuv, Weber, Ingmar, Birnbaum, Michael L, De Choudhury, Munmun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440734/
https://www.ncbi.nlm.nih.gov/pubmed/28483739
http://dx.doi.org/10.2196/jmir.6815
_version_ 1783238115162324992
author Saha, Koustuv
Weber, Ingmar
Birnbaum, Michael L
De Choudhury, Munmun
author_facet Saha, Koustuv
Weber, Ingmar
Birnbaum, Michael L
De Choudhury, Munmun
author_sort Saha, Koustuv
collection PubMed
description 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(2)=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.
format Online
Article
Text
id pubmed-5440734
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-54407342017-06-06 Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates Saha, Koustuv Weber, Ingmar Birnbaum, Michael L De Choudhury, Munmun J Med Internet Res Original Paper 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(2)=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. JMIR Publications 2017-05-08 /pmc/articles/PMC5440734/ /pubmed/28483739 http://dx.doi.org/10.2196/jmir.6815 Text en ©Koustuv Saha, Ingmar Weber, Michael L Birnbaum, Munmun De Choudhury. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.05.2017. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Saha, Koustuv
Weber, Ingmar
Birnbaum, Michael L
De Choudhury, Munmun
Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title_full Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title_fullStr Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title_full_unstemmed Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title_short Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
title_sort characterizing awareness of schizophrenia among facebook users by leveraging facebook advertisement estimates
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440734/
https://www.ncbi.nlm.nih.gov/pubmed/28483739
http://dx.doi.org/10.2196/jmir.6815
work_keys_str_mv AT sahakoustuv characterizingawarenessofschizophreniaamongfacebookusersbyleveragingfacebookadvertisementestimates
AT weberingmar characterizingawarenessofschizophreniaamongfacebookusersbyleveragingfacebookadvertisementestimates
AT birnbaummichaell characterizingawarenessofschizophreniaamongfacebookusersbyleveragingfacebookadvertisementestimates
AT dechoudhurymunmun characterizingawarenessofschizophreniaamongfacebookusersbyleveragingfacebookadvertisementestimates