Use of twitter for health communication
A systematic review
Abstract
Introduction: Social media have become one of the leading health communication channels among the exponents of Health 2.0. Twitter has particularly noteworthy features for providing information quickly and easily. However, there is still controversy about the convenience of its use. Objectives: This paper aims to identify the main topics of health covered, the uses of Twitter in health communication and to characterize the valences (positive and negative) associated with each use. Methodology: To do that, we conducted a systematic review following PRISMA guidelines. Two databases (Web of Science and Pubmed) were searched, and 610 articles were retrieved. After removing duplicates, screening the titles and abstracts and assessing the full texts, 83 papers met the inclusion criteria. Results: The review identified five uses of Twitter: Conversation, Engagement, Information, Prevention, and Awareness, and it established the definitions of the positive and negative valences associated with each use. The most common uses found were Conversation and Engagement. Likewise, the two areas most studied were Public Health and Infectious Diseases. Conclusion: There is no consensus on the usefulness of Twitter as a tool for information or for generating debate, although the platform’s effectiveness for measuring the impact of health campaigns was highlighted.
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References
* References marked with an asterisk indicate studies included in the SLR
*Adnan, M. M., Yin, J., Jackson, A. M., Ho Tse, Z. T., Liang, H., Fu, K.-W., Sarohaf, N., Althouseg, B. M., & Chun-Hai Fung, I. (2019). World Pneumonia Day 2011–2016: Twitter contents and retweets. International Health. 11(4), 297-305, https://doi.org/10.1093/inthealth/ihy087
*Albalawi, Y., & Sixsmith, J. (2017). Identifying Twitter influencer profiles for health promotion in Saudi Arabia. Health Promotion International. 32(3), 456-463. http://doi.org/10.1093/heapro/dav103
*Alpert, J. M., & Womble, F. E. (2016). Just what the doctor tweeted: physicians’ challenges and rewards of using Twitter. Health Communication. 31(7), 824-832. https://doi.org/10.1080/10410236.2015.1007551
AlRyalat, S. A. S., Malkawi, L. W., & Momani, S. M. (2019). Comparing bibliometric analysis using PubMed, Scopus, and Web of Science databases. JoVE (Journal of Visualized Experiments), (152), e58494. *Andersen, B., Hair, L., Groshek, J., Krishna, A., & Walker, D. (2019). Understanding and diagnosing antimicrobial resistance on social media: a yearlong overview of data and analytics. Health Communication. 34(2), 248-258. https://doi.org/10.1080/10410236.2017.140 5479
*Antheunis, M. L., Tates, K., & Nieboer, T. E. (2013). Patients’ and health professionals’ use of social media in health care: motives, barriers and expectations. Patient Education and Counseling. 92(3), 426-431. https://doi.org/10.1016/j.pec.2013.06.020
*Bravo, C.A. & Hoffman-Goetz, L. (2016). Tweeting About Prostate and Testicular Cancers: What Are Individuals Saying in Their Discussions About the 2013 Movember Canada Campaign? Journal of Cancer Education. 31(3):559-66. https://doi.org/10.1007/s13187-015- 0838-8
*Broniatowski, D. A., Jamison, A. M., Qi S., AlKulaib, L., Chen T., Benton A., Quinn, S. C., & Dredze, M. (2018). Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate. American Journal of Public Health. 108, 1378-1384. https://doi.org/10.2105/AJPH.2018.304567
Busto-Salinas, L. (2019). Sanidad y redes sociales: ¿qué entidades son más activas y con cuáles interactúa más el público? El Profesional de la Información, 28(2), e280215.
Chan, W. S., & Leung, A. Y. (2018). Use of social network sites for communication among health professionals: systematic review. Journal of Medical Internet Research, 20(3), e117. https://doi.org/10.2196/jmir.8382
*Chung, J. E. (2016). A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign. Journal of Health Communication. 21(5), 517-526. https://doi.org/10.1080/10810730.2015.1103332
Cuesta-Cambra, U., Martínez-Martínez, L., & Niño-González, J.I. (2019). An analysis of pro-vaccine and anti-vaccine information on social networks and the internet: Visual and emotional patterns. El Profesional de la Información, 28(2), e280217.
* D’Agostino, M., Mejía, F., Brooks, I., Marti, M., David, N. O., & Cosio, G. D. (2018). Fear on the networks: analyzing the 2014 Ebola outbreak. Revista Panamericana de Salud Pública, 41, e134.
* Da’ar, O. B., Yunus, F., Hossain, N. M., & Househ, M. (2017). Impact of Twitter intensity, time, and location on message lapse of bluebird’s pursuit of fleas in Madagascar. Journal of Infection and Public Health. 10(4), 396-402. https://doi.org/10.1016/j.jiph.2016.06.011
Eckert, S., Sopory, P., Day, A., Wilkins, L., Padgett, D., Novak, J., Noyes, J. Allen, T., Alexander, N. Vanderford, M., & Gamhewage, G. (2018). Health-related disaster communication and social media: mixed-method systematic review. Health Communication. 33(12), 1389-1400. https://doi.org/10.1080/10410236.2017.1 351278
Eurostat (2021). Community survey on ICT usage in households and by individuals. https://ec.europa.eu/eurostat/cache/metadata/en/isoc_i_esms.htm
Falisi, A. L., Wiseman, K. P., Gaysynsky, A., Scheideler, J. K., Ramin, D. A., & Chou, W. Y. S. (2017). Social media for breast cancer survivors: a literature review. Journal of Cancer Survivorship, 11(6). 808-821. https://doi.org/10.1007/s11764-017-0620-5
FECYT (2022). Desinformación científica en España. Informe de resultados. FECYT / IBERIFIER. https://www.fecyt.es/es/publicacion/desinformacion-cientifica-en-espana
Fung, I. C. H., Duke, C. H., Finch, K. C., Snook, K. R., Tseng, P. L., Hernandez, A. C., Gambhir, M., Fu, K.- W., & Tse, Z. T. H. (2016). Ebola virus disease and social media: a systematic review. American Journal of Infection Control. 44(12), 1660-1671. https://doi.org/10.1016/j.ajic.2016.05.011
*Fung, I. C., Jackson, A. M., Mullican, L.A., Blankenship, E.B., Goff, M.E., Guinn, A.J., Saroha, N., & Tse, Z. T. H. (2018). Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study. JMIR Public Health Surveillance. 4(2), e33. https://doi.org/0.2196/publichealth.8737
*Glowacki, E. M., Glowacki, J. B., Chung, A. D., & Wilcox, G. B. (2019). Reactions to foodborne Escherichia coli outbreaks: A text-mining analysis of the public’s response. American Journal of Infection Control. 47(10), 1280-1282. https://doi.org/10.1016/j.ajic.2019.04.004
Hong, S. J. (2020). Uncertainty in the process of communicating cancer-related genetic risk information with patients: A scoping review. Journal of Health Communication. 25(3), 251-270. https://doi.org/10.1080/10810730.2020.1745963
*Househ, M. (2016). Communicating Ebola through social media and electronic news media outlets: A cross-sectional study. Health Informatics Journal. 22(3), 470-478. https://doi.org/10.1177/1460458214568037
Lama, Y., Chen, T., Dredze, M., Jamison, A., Quinn, S. C., & Broniatowski, D. A. (2018). Discordance between human papillomavirus Twitter images and disparities in human papillomavirus risk and disease in the United States: mixed-methods analysis. Journal of Medical Internet Research. 20(9), e10244. http://dx.doi. org/10.2196/10244
*Lazard, A. J., Wilcox, G. B., Tuttle, H. M., Glowacki, E. M., & Pikowski, J. (2017). Public reactions to e-cigarette regulations on Twitter: a text mining analysis. Tobacco Control. 26(e2), e112-e116. http://dx.doi.org/10.1136/tobaccocontrol-2016-053295
*Lee, J. Y., & Sundar, S. S. (2013). To tweet or to retweet? That is the question for health professionals on Twitter. Health Communication. 28(5), 509-524. http://dx.doi.org/10.1080/10410236.2012.700391
Lienemann, B. A., Unger, J. B., Cruz, T. B., & Chu, K. H. (2017). Methods for coding tobacco-related Twitter data: a systematic review. Journal of Medical Internet Research. 19(3), e91. http://dx.doi.org/10.2196/jmir.7022
Lithopoulos, A., & Rhodes, R. E. (2020). The Effects of Branding on Physical Activity: A Systematic Review. Journal of Health Communication. 25(4), 303-312. https://doi.org/10.1080/10810730.2020.1749734
*Lutkenhaus, R. O., Jansz, J., & Bouman, M. P. (2019). Tailoring in the digital era: Stimulating dialogues on health topics in collaboration with social media influencers. Digital Health. 5, 2055207618821521. https://doi.org/10.1177/2055207618821521
MacDonald, L., Cairns, G., Angus, K., & De Andrade, M. (2013). Promotional communications for influenza vaccination: a systematic review. Journal of Health Communication. 18(12), 1523-1549. https://doi.org/10.1080/10810730.2013.840697
*Mahoney, L. M., Tang, T., Ji, K., & Ulrich-Schad, J. (2015). The digital distribution of public health news surrounding the human papillomavirus vaccination: a longitudinal infodemiology study. JMIR Public Health and Surveillance, 1(1), e2. https://doi.org/10.2196/publichealth.3310
*Martínez, L. S., Hughes, S., Walsh-Buhi, E.R. & Tsou. M.H. (2018) “Okay, We Get It. You Vape”: An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. Journal of Health Communication. 23(6), 550-562. https://doi.org/10.1080/10810730.2018.1493057
*Massey, P. M., Leader, A., Yom-Tov, E., Budenz, A., Fisher, K, & Klassen, A.C. (2016). Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Journal of Medical Internet Research, 18(12), e318. https://doi.org/10.2196/jmir.6670
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, 15(4), e85.
*Myrick, J. G., Holton, A. E., Himelboim, I., & Love, B. (2016). #Stupidcancer: exploring a typology of social support and the role of emotional expression in a social media community. Health Communication, 31(5), 596-605. http://dx.doi.org/10.1080/10410236.2 014.981664
*Nawaz, M. S., Bilal, M., Lali, M. I., Ul Mustafa, R., Aslam, W., & Jajja, S. (2017). Effectiveness of social media data in healthcare communication. Journal of Medical Imaging and Health Informatics, 7(6), 1365-1371. https://doi.org/10.1166/jmihi.2017.2148
* O’Hanlon, C. E. (2019). What kills us and what moves us: A comparative discourse analysis of heart disease and breast cancer. Digital Health, 5, 2055207619844865. https://doi.org/10.1177/2055207619844865
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906.
Park, S. Y., & Holody, K. J. (2018). Content, exposure, and effects of public discourses about marijuana: A systematic review. Journal of Health Communication, 23(12), 1036-1043. https://doi.org/10.1080/10810730.2018.1541369
Pretorius, K. A., Mackert, M., & Wilcox, G. B. (2018). Sudden infant death syndrome and safe sleep on Twitter: analysis of influences and themes to guide health promotion efforts. JMIR Pediatrics and Parenting, 1(2), e10435. https://doi.org/10.2196/10435
Pretorius, K., Johnson, K. E., & Rew, L. (2019). An integrative review: understanding parental use of social media to influence infant and child health. Maternal and Child Health Journal, 23(10), 1360-1370. https://doi.org/10.1007/s10995-019-02781-w
*Radzikowski, J., Stefanidis, A., Jacobsen, K. H., Croitoru, A., Crooks, A., & Delamater, P. L. (2016). The measles vaccination narrative in Twitter: a quantitative analysis. JMIR Public Health and Surveillance, 2(1), e1. https://doi.org/10.2196/publichealth.5059
*Rabarison, K. M., Croston, M. A., Englar, N. K., Bish, C. L., Flynn, S. M., & Johnson, C. C. (2017). Measuring audience engagement for public health Twitter chats: insights from# LiveFitNOLA. JMIR Public Health and Surveillance, 3(2), e7181. https://doi.org/10.2196/publichealth.7181
*Schwartz, J., & Grimm, J. (2017). PrEP on Twitter: Information, barriers, and stigma. Health Communication, 32(4), 509-516. http://dx.doi.org/10.1 080/10410236.2016.1140271
Sendra-Toset, A., & Farré-Coma, J. (2016). Las instituciones de salud pública y las redes sociales: una revisión sistemática. Revista Española de Comunicación en Salud, 285-299. https://e-revistas.uc3m.es/index.php/RECS/article/view/3452
Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., & Merchant, R. M. (2017). Twitter as a tool for health research: a systematic review. American Journal of Public Health, 107(1), e1-e8. https://doi.org/10.2105/AJPH.2016.303512
Smith, T., & Lambert, R. (2014). A systematic review investigating the use of Twitter and Facebook in university-based healthcare education. Health Education, 114(5)
*Spence, P. R., Lachlan K. A., Edwards, A., & Edwards, C. (2015): Tweeting Fast Matters, But Only if I Think About It: Information Updates on Social Media. Communication Quarterly, 64(1), 55-71. https://doi.org/10.1080/01463373.2015.1100644
* Thackeray, R., Neiger, B. L., Smith, A. K., & Van Wagenen, S. B. (2012). Adoption and use of social media among public health departments. BMC Public Health, 12(1), 1-6.
Tougas, M. E., Chambers, C. T., Corkum, P., Robillard, J. M., Gruzd, A., Howard, V., Kampen, A., Boernes, K. E., & Hundert, A. S. (2018). Social media content about children’s pain and sleep: content and network analysis. JMIR Pediatrics and Parenting, 1(2), e11193. https://doi.org/10.2196/11193
*Van der Tempel, J., Noormohamed, A., Schwartz, R., Norman, C., Malas, M., & Zawertailo, L. (2016). Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter. International Journal of Public Health, 61(2), 249-256. https://doi.org/10.1007/s00038-016-0791-2
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