Adapting behavioral interventions for social media delivery
Open accessAbstract
Patients are increasingly using online social networks (ie, social media) to connect with other patients and health care professionals--a trend called peer-to-peer health care. Because online social networks provide a means for health care professionals to communicate with patients, and for patients to communicate with each other, an opportunity exists to use social media as a modality to deliver behavioral interventions. Social media-delivered behavioral interventions have the potential to reduce the expense of behavioral interventions by eliminating visits, as well as increase our access to patients by becoming embedded in their social media feeds. Trials of online social network-delivered behavioral interventions have shown promise, but much is unknown about intervention development and methodology. In this paper, we discuss the process by which investigators can translate behavioral interventions for social media delivery. We present a model that describes the steps and decision points in this process, including the necessary training and reporting requirements. We also discuss issues pertinent to social media-delivered interventions, including cost, scalability, and privacy. Finally, we identify areas of research that are needed to optimize this emerging behavioral intervention modality.
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Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.08.010 · Cited by 51,384 · see citing works
Maher, C. A., Lewis, L. K., Ferrar, K., Marshall, S., De Bourdeaudhuij, I., & Vandelanotte, C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2952 · Cited by 733 · see citing works
Social Interactions and Well-Being
Sandstrom, G. M., & Dunn, E. W. (2014) · Personality and Social Psychology Bulletin · doi:10.1177/0146167214529799 · Cited by 637 · see citing works
Sharing Health Data for Better Outcomes on PatientsLikeMe
Wicks, P., Massagli, M., Frost, J., Brownstein, C., Okun, S., Vaughan, T., Bradley, R., & Heywood, J. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1549 · Cited by 603 · see citing works
Wing, R. R., & Jeffery, R. W. (1999) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.67.1.132 · Cited by 571 · see citing works
A Social Media–Based Physical Activity Intervention
Cavallo, D. N., Tate, D. F., Ries, A. V., Brown, J. D., DeVellis, R. F., & Ammerman, A. S. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.07.019 · Cited by 411 · see citing works
Knowledge-sharing and influence in online social networks via viral marketing
Subramani, M., & Rajagopalan, B. (2003) · Communications of the ACM · doi:10.1145/953460.953514 · Cited by 408 · see citing works
Using facebook and text messaging to deliver a weight loss program to college students
Napolitano, M. A., Hayes, S., Bennett, G. G., Ives, A. K., & Foster, G. D. (2013) · Obesity · doi:10.1002/oby.20232 · Cited by 373 · see citing works
Social Media–Delivered Sexual Health Intervention
Bull, S. S., Levine, D. K., Black, S. R., Schmiege, S. J., & Santelli, J. S. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.07.022 · Cited by 331 · see citing works
Valle, C. G., Tate, D. F., Mayer, D. K., Allicock, M. A., & Cai, J. (2013) · Journal of Cancer Survivorship · doi:10.1007/s11764-013-0279-5 · Cited by 286 · see citing works
Turner-McGrievy, G., & Tate, D. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1841 · Cited by 263 · see citing works
Weinreich, H., Obendorf, H., Herder, E., et al. (2008) · ACM Transactions on the Web · doi:10.1145/1326561.1326566 · Cited by 224 · see citing works
Social Networking Technologies as an Emerging Tool for HIV Prevention
Young, S. D., Cumberland, W. G., Lee, S., Jaganath, D., Szekeres, G., & Coates, T. J. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-5-201309030-00005 · Cited by 179 · see citing works
Can I get a retweet please? Health research recruitment and the Twittersphere
O’Connor, A., Jackson, L. M., Goldsmith, L., & Skirton, H. (2013) · Journal of Advanced Nursing · doi:10.1111/jan.12222 · Cited by 155 · see citing works
Turner‐McGrievy, G. M., & Tate, D. F. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-012-0183-y · Cited by 144 · see citing works
Joseph, R. P., Keller, C. S., Adams, M. A., & Ainsworth, B. E. (2015) · BMC Women s Health · doi:10.1186/s12905-015-0186-1 · Cited by 139 · see citing works
Herring, S. J., Cruice, J. F., Bennett, G. G., Davey, A., & Foster, G. D. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.06.002 · Cited by 129 · see citing works
The Role of Social Media in Online Weight Management: Systematic Review
Chang, T., Chopra, V., Zhang, C., & Woolford, S. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2852 · Cited by 123 · see citing works
Using F acebook to deliver a social norm intervention to reduce problem drinking at university
Ridout, B., & Campbell, A. (2014) · Drug and Alcohol Review · doi:10.1111/dar.12141 · Cited by 119 · see citing works
Twitter=quitter? An analysis of Twitter quit smoking social networks
Prochaska, J. J., Pechmann, C., Kim, R., & Leonhardt, J. M. (2011) · Tobacco Control · doi:10.1136/tc.2010.042507 · Cited by 110 · see citing works
Rice, E. R. W., Tulbert, E., Cederbaum, J. A., Adhikari, A. B., & Milburn, N. G. (2012) · Health Education Research · doi:10.1093/her/cyr113 · Cited by 107 · see citing works
Recruiting adolescent girls into a follow-up study: Benefits of using a social networking website
Jones, L., Saksvig, B. I., Grieser, M., & Young, D. R. (2011) · Contemporary Clinical Trials · doi:10.1016/j.cct.2011.10.011 · Cited by 106 · see citing works
Brindal, E., Freyne, J., Saunders, I. W., Berkovsky, S., Smith, G., & Noakes, M. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2156 · Cited by 104 · see citing works
Patrick, K., Marshall, S. J., Davila, E. P., Kolodziejczyk, J. K., Fowler, J. H., Calfas, K. J., Huang, J. S., Rock, C. L., Griswold, W. G., Gupta, A. E., et al. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.11.001 · Cited by 104 · see citing works
Pedrana, A., Hellard, M., Gold, J., Ata, N., Chang, S., Howard, S., Asselin, J., Ilic, O., Batrouney, C., & Stoové, M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2334 · Cited by 102 · see citing works
Merchant, G., Weibel, N., Patrick, K., Fowler, J. H., Norman, G. J., Gupta, A. E., Servetas, C., Calfas, K. J., Raste, K., Pina, L. R., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3267 · Cited by 101 · see citing works
Hales, S. B., Davidson, C. R., & Turner‐McGrievy, G. M. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0274-z · Cited by 98 · see citing works
Struik, L. L., & Baskerville, N. B. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3189 · Cited by 93 · see citing works
Teammates and Social Influence Affect Weight Loss Outcomes in a Team‐Based Weight Loss Competition
Leahey, T. M., Kumar, R., Weinberg, B. M., & Wing, R. R. (2012) · Obesity · doi:10.1038/oby.2012.18 · Cited by 91 · see citing works
Pechmann, C., Pan, L., Delucchi, K., Lakon, C. M., & Prochaska, J. J. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3772 · Cited by 88 · see citing works
Tweeting it off: characteristics of adults who tweet about a weight loss attempt
Pagoto, S., Schneider, K. L., Evans, M. M., Waring, M. E., Appelhans, B. M., Busch, A. M., Whited, M. C., Thind, H. K., & Ziedonis, M. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002652 · Cited by 83 · see citing works
Self-citationAdjunctive Social Media for More Effective Contraceptive Counseling
Kofinas, J. D., Varrey, A., Sapra, K. J., Kanj, R. V., Chervenak, F. A., & Asfaw, T. S. (2014) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000000172 · Cited by 79 · see citing works
Haines‐Saah, R., Kelly, M. T., Oliffe, J. L., & Bottorff, J. L. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4061 · Cited by 78 · see citing works
Strekalova, Y. A., & Krieger, J. L. R. (2015) · Journal of Cancer Education · doi:10.1007/s13187-015-0901-5 · Cited by 73 · see citing works
Rote, A. E., Klos, L. A., Brondino, M. J., Harley, A. E., & Swartz, A. M. (2015) · Journal of Physical Activity and Health · doi:10.1123/jpah.2014-0279 · Cited by 72 · see citing works
Weight Rhythms: Weight Increases during Weekends and Decreases during Weekdays
Vuorinen, A., Mattila, E., Ermes, M., van Gils, M., Wansink, B. C., & Korhonen, I. (2014) · Obesity Facts · doi:10.1159/000356147 · Cited by 61 · see citing works
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Syred, J., Naidoo, C., Woodhall, S. C., & Baraitser, P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3231 · Cited by 60 · see citing works
Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series
Pagoto, S., Waring, M. E., Schneider, K. L., Oleski, J. L., Olendzki, E., Hayes, R. B., Appelhans, B. M., Whited, M. C., Busch, A. M., & Lemon, S. C. (2015) · JMIR Research Protocols · doi:10.2196/resprot.4864 · Cited by 58 · see citing works
Self-citationWomen’s Challenges with Postpartum Weight Loss
Montgomery, K. S., Bushee, T. D., Phillips, J. D., Kirkpatrick, T., Catledge, C., Braveboy, K., O’Rourke, C., Patel, N. S., Prophet, M., Cooper, A., et al. (2010) · Maternal and Child Health Journal · doi:10.1007/s10995-010-0681-9 · Cited by 54 · see citing works
Ramo, D. E., Liu, H., & Prochaska, J. J. (2014) · American Journal of Health Promotion · doi:10.4278/ajhp.130326-qual-128 · Cited by 51 · see citing works
Kernot, J., Olds, T., Lewis, L. K., & Maher, C. A. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-518 · Cited by 40 · see citing works
Social networks and social norms are associated with obesity treatment outcomes
Leahey, T. M., Doyle, C. Y., Xu, X., Bihuniak, J. D., & Wing, R. R. (2015) · Obesity · doi:10.1002/oby.21074 · Cited by 38 · see citing works
Kernot, J., Olds, T., Lewis, L. K., & Maher, C. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108842 · Cited by 36 · see citing works
Social embeddedness in an online weight management programme is linked to greater weight loss
Poncela-Casasnovas, J., Spring, B., McClary, D. B., Moller, A. C., Mukogo, R., Pellegrini, C. A., Coons, M., Davidson, M., Mukherjee, S., & Amaral, L. A. N. (2015) · Journal of the Royal Society Interface · doi:10.1098/rsif.2014.0686 · Cited by 32 · see citing works
An Economic Analysis of Traditional and Technology-Based Approaches to Weight Loss
Archer, E., Groessl, E. J., Sui, X., McClain, A. C., Wilcox, S., Hand, G. A., Meriwether, R. A., & Blair, S. N. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.04.018 · Cited by 31 · see citing works
Pilot study of Internet-based early intervention for combat-related mental distress
Voorhees, B. W. V., Gollan, J. K., & Fogel, J. (2012) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2011.05.0095 · Cited by 27 · see citing works
Tools for teen moms to reduce infant obesity: a randomized clinical trial
Horodynski, M. A. O., Silk, K. J., Hsieh, G., Hoffman, A., & Robson, M. (2015) · BMC Public Health · doi:10.1186/s12889-015-1345-x · Cited by 27 · see citing works
Lelutiu‐Weinberger, C., Gamarel, K. E., Golub, S. A., & Parsons, J. T. (2014) · Health Psychology · doi:10.1037/hea0000192 · Cited by 24 · see citing works
Edwards-Gaura, A., Whitaker, D. J., & Self‐Brown, S. (2014) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2014.4.21413 · Cited by 18 · see citing works
Interest in a Twitter-delivered weight loss program among women of childbearing age
Waring, M. E., Schneider, K. L., Appelhans, B. M., Simas, T. A. M., Xiao, R. S., Whited, M. C., Busch, A. M., Evans, M. M., & Pagoto, S. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-015-0382-4 · Cited by 18 · see citing works
Self-citationWojcicki, J. M., Geissler, J. D., Stokes, C. W., et al. (2013) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-013-0014-3 · Cited by 9 · see citing works
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Research works printed but not linked: 1
- [80]Lithium 2013 2016-01-10 Consumers will punish brands that fail to respond on Twitter quickly http://www.lithium.com/company/news-room/press-releases/2013/consumers-will-punish-brands-that-fail-to-respond-on-twitter-quickly
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Sorted by citations
The Sustainability of Evidence-Based Interventions and Practices in Public Health and Health Care
Shelton, R. C., Cooper, B. R., & Stirman, S. W. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-014731 · Cited by 806 · see citing works
Social Media Role and Its Impact on Public Health: A Narrative Review
Kanchan, S., & Gaidhane, A. (2023) · Cureus · doi:10.7759/cureus.33737 · Cited by 221 · see citing works
“" "Peer-to-peer health care" is described by Fox as "the most exciting innovation in health care today" [13].”
BackgroundYoung People’s Experiences of Viewing the Fitspiration Social Media Trend: Qualitative Study.
Easton, S., Morton, K., Tappy, Z., Francis, D., & Dennison, L. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9156 · Cited by 82 · see citing works
- Authors
- Pagoto, S., Waring, M. E., May, C. N., Ding, E. Y., Kunz, W. H., Hayes, R., & Oleski, J. L.
- Affiliations
- University of Massachusetts Chan Medical School (US)
- University of Massachusetts Boston (US)
- Corresponding author
- Pagoto, Sherry
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2016-01-29
- Volume
- 18
- Issue
- 1
- Pages
- e24
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC4752690
- OpenAlex
- W2268106860
- Cited by
- 134
- References
- 51
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 11 · 2023: 14 · 2022: 23 · 2021: 12 · 2020: 8 · 2019: 13 · 2018: 21 · 2017: 9 · 2016: 7
- FWCI
- 21.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (UL1TR001453, KL2TR000160)
- National Heart, Lung, and Blood Institute (K24HL124366)
- National Institute of General Medical Sciences (T32GM107000)
- National Center for Advancing Translational Sciences
- Topics
- Social Sciences › Health › Social Media in Health Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- social media, behavioral interventions, social networking sites, intervention adaptation, intervention development, scalability, cost, privacy, patient engagement
- MeSH terms
- Health Promotion, Humans, Social Support, Health Behavior, Information Seeking Behavior, Social Media
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