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dc.contributor.authorMurphy, MD
dc.contributor.authorPinheiro, D
dc.contributor.authorIyengar, R
dc.contributor.authorLim, G
dc.contributor.authorMenezes, R
dc.contributor.authorCadeiras, M
dc.date.accessioned2020-03-27T11:21:51Z
dc.date.issued2020-01-14
dc.description.abstractBACKGROUND: Increasing the number of organ donors may enhance organ transplantation, and past health interventions have shown the potential to generate both large-scale and sustainable changes, particularly among minorities. OBJECTIVE: This study aimed to propose a conceptual data-driven framework that tracks digital markers of public organ donation awareness using Twitter and delivers an optimized social network intervention (SNI) to targeted audiences using Facebook. METHODS: We monitored digital markers of organ donation awareness across the United States over a 1-year period using Twitter and examined their association with organ donation registration. We delivered this SNI on Facebook with and without optimized awareness content (ie, educational content with a weblink to an online donor registration website) to low-income Hispanics in Los Angeles over a 1-month period and measured the daily number of impressions (ie, exposure to information) and clicks (ie, engagement) among the target audience. RESULTS: Digital markers of organ donation awareness on Twitter are associated with donation registration (beta=.0032; P<.001) such that 10 additional organ-related tweets are associated with a 3.20% (33,933/1,060,403) increase in the number of organ donor registrations at the city level. In addition, our SNI on Facebook effectively reached 1 million users, and the use of optimization significantly increased the rate of clicks per impression (beta=.0213; P<.004). CONCLUSIONS: Our framework can provide a real-time characterization of organ donation awareness while effectively delivering tailored interventions to minority communities. It can complement past approaches to create large-scale, sustainable interventions that are capable of raising awareness and effectively mitigate disparities in organ donation.en_GB
dc.description.sponsorshipRosenfeld Heart Foundationen_GB
dc.identifier.citationVol. 22, no. 1, article e14605en_GB
dc.identifier.doi10.2196/14605
dc.identifier.urihttp://hdl.handle.net/10871/120432
dc.language.isoenen_GB
dc.publisherJMIR Publicationsen_GB
dc.rights©Michael Douglas Murphy, Diego Pinheiro, Rahul Iyengar, Gene Lim, Ronaldo Menezes, Martin Cadeiras. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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.en_GB
dc.subjectorgan donationen_GB
dc.subjectsocial mediaen_GB
dc.subjectdigital sensoren_GB
dc.subjecttailored interventionen_GB
dc.titleA data-driven social network intervention for improving organ donation awareness among minorities: analysis and optimization of a cross-sectional studyen_GB
dc.typeArticleen_GB
dc.date.available2020-03-27T11:21:51Z
dc.identifier.issn1439-4456
dc.descriptionThis is the author accepted manuscripten_GB
dc.identifier.eissn1438-8871
dc.identifier.journalJournal of Medical Internet Researchen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-11-12
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-11-12
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-03-27T11:16:30Z
refterms.versionFCDAM
refterms.dateFOA2020-03-27T11:21:56Z
refterms.panelBen_GB


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©Michael Douglas Murphy, Diego Pinheiro, Rahul Iyengar, Gene Lim, Ronaldo Menezes, Martin Cadeiras. 

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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.
Except where otherwise noted, this item's licence is described as ©Michael Douglas Murphy, Diego Pinheiro, Rahul Iyengar, Gene Lim, Ronaldo Menezes, Martin Cadeiras. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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.