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dc.contributor.authorPagoto, Sherry L.
dc.contributor.authorBennett, Gary G.
dc.date2022-08-11T08:10:19.000
dc.date.accessioned2022-08-23T17:04:13Z
dc.date.available2022-08-23T17:04:13Z
dc.date.issued2013-09-28
dc.date.submitted2014-07-24
dc.identifier.citationPagoto S, Bennett GG. How behavioral science can advance digital health. Transl Behav Med. 2013 Sep;3(3):271-6. doi: 10.1007/s13142-013-0234-z. <a href="http://dx.doi.org/10.1007/s13142-013-0234-z" target="_blank">Link to article on publisher's site</a>
dc.identifier.issn1869-6716 (Print)
dc.identifier.doi10.1007/s13142-013-0234-z
dc.identifier.pmid24073178
dc.identifier.urihttp://hdl.handle.net/20.500.14038/44591
dc.description.abstractThe field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=24073178&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771019/pdf/13142_2013_Article_234.pdf
dc.subjectDigital health
dc.subjectmHealth
dc.subjectSocial networks
dc.subjectBehavioral Disciplines and Activities
dc.subjectBehavior and Behavior Mechanisms
dc.subjectCommunity Health
dc.subjectCommunity Health and Preventive Medicine
dc.subjectHealth Information Technology
dc.subjectHealth Psychology
dc.subjectPublic Health
dc.subjectPublic Health Education and Promotion
dc.subjectTranslational Medical Research
dc.titleHow behavioral science can advance digital health
dc.typeJournal Article
dc.source.journaltitleTranslational behavioral medicine
dc.source.volume3
dc.source.issue3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/prc_pubs/29
dc.identifier.contextkey5825778
html.description.abstract<p>The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.</p>
dc.identifier.submissionpathprc_pubs/29
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine
dc.source.pages271-6


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