The Charlie Sheen Effect on Rapid In-home Human Immunodeficiency Virus Test Sales
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One in eight of the 1.2 million Americans living with human immunodeficiency virus (HIV) are unaware of their positive status, and untested individuals are responsible for most new infections. As a result, testing is the most cost-effective HIV prevention strategy and must be accelerated when opportunities are presented. Web searches for HIV spiked around actor Charlie Sheen’s HIV-positive disclosure. However, it is unknown whether Sheen’s disclosure impacted offline behaviors like HIV testing. The goal of this study was to determine if Sheen’s HIV disclosure was a record-setting HIV prevention event and determine if Web searches presage increases in testing allowing for rapid detection and reaction in the future. Sales of OraQuick rapid in-home HIV test kits in the USA were monitored weekly from April 12, 2014, to April 16, 2016, alongside Web searches including the terms “test,” “tests,” or “testing” and “HIV” as accessed from Google Trends. Changes in OraQuick sales around Sheen’s disclosure and prediction models using Web searches were assessed. OraQuick sales rose 95% (95% CI, 75–117; p < 0.001) of the week of Sheen’s disclosure and remained elevated for 4 more weeks (p < 0.05). In total, there were 8225 more sales than expected around Sheen’s disclosure, surpassing World AIDS Day by a factor of about 7. Moreover, Web searches mirrored OraQuick sales trends (r = 0.79), demonstrating their ability to presage increases in testing. The “Charlie Sheen effect” represents an important opportunity for a public health response, and in the future, Web searches can be used to detect and act on more opportunities to foster prevention behaviors.
KeywordsHuman immunodeficiency virus HIV HIV prevention Surveillance Health informatics
- Ayers, J. W., Westmaas, J. L., Leas, E. C., Benton, A., Chen, Y., Dredze, M., & Althouse, B. M. (2016b). Leveraging big data to improve health awareness campaigns: A novel evaluation of the Great American Smokeout. JMIR public health and surveillance, 2.Google Scholar
- Centers for Disease Control and Prevention. (2016). Trends in US HIV Diagnoses, 2005–2014. Fact Sheet: http://www.cdc.gov/nchhstp/newsroom/docs/factsheets/hiv-data-trends-fact-sheet-508.pdf.
- Hoffman, S. J., & Tan, C. (2013). Following celebrities’ medical advice: Meta-narrative analysis. BMJ, 73, 3.Google Scholar
- Hyndman, R.J., & Khandakar, Y. (2007). Automatic time series forecasting: The forecast package for R 7. 2008. URL: https://www.jstatsoft.org/article/view/v027i03 .
- Krosnick, J. A., & Petty, R. E. (1995). Attitude strength: An overview. In R. E. Petty & J. A. Krosnick (Eds.), Attitude strength: Antecedents and consequences (pp. 1–24). Mahwah: Erlbaum.Google Scholar
- LELO HEX. (2016). Charlie Sheen talks condoms for LELO HEX | Youth is wasted on the young. URL https://youtu.be/0iOOPY0pQf4.
- Noar, S. M., Ribisl, K. M., Althouse, B. M., Willoughby, J. F., & Ayers, J. W. (2013). Using digital surveillance to examine the impact of public figure pancreatic cancer announcements on media and search query outcomes. Journal of the National Cancer Institute Monographs, 2013, 188–194.CrossRefPubMedGoogle Scholar