The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study
Open accessAbstract
BACKGROUND: Recruitment of young people for health research by traditional methods has become more expensive and challenging over recent decades. The Internet presents an opportunity for innovative recruitment modalities. OBJECTIVE: To assess the feasibility of recruiting young females using targeted advertising on the social networking site Facebook. METHODS: We placed an advertisement on Facebook from May to September 2010, inviting 16- to 25-year-old females from Victoria, Australia, to participate in a health study. Those who clicked on the advertisement were redirected to the study website and were able to express interest by submitting their contact details online. They were contacted by a researcher who assessed eligibility and invited them to complete a health-related survey, which they could do confidentially and securely either at the study site or remotely online. RESULTS: A total of 551 females responded to the advertisement, of whom 426 agreed to participate, with 278 completing the survey (139 at the study site and 139 remotely). Respondents' age distribution was representative of the target population, while 18- to 25-year-olds were more likely to be enrolled in the study and complete the survey than 16- to 17-year-olds (prevalence ratio=1.37, 95% confidence interval 1.05-1.78, P=.02). The broad geographic distribution (major city, inner regional, and outer regional/remote) and socioeconomic profile of participants matched the target population. Predictors of participation were older age, higher education level, and higher body mass index. Average cost in advertising fees per compliant participant was US $20, making this highly cost effective. CONCLUSIONS: Results demonstrate the potential of using modern information and communication technologies to engage young women in health research and penetrate into nonurban communities. The success of this method has implications for future medical and population research in this and other demographics.
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Cites
Ryan, T., & Xenos, S. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.02.004 · Cited by 1,260
Gender Differences in Privacy-Related Measures for Young Adult Facebook Users
Hoy, M. G., & Milne, G. (2010) · Journal of Interactive Advertising · doi:10.1080/15252019.2010.10722168 · Cited by 443
Cited by
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
Recruiting for health, medical or psychosocial research using Facebook: Systematic review
Thornton, L., Batterham, P. J., Fassnacht, D. B., Kay-Lambkin, F., Calear, A. L., & Hunt, S. (2016) · Internet Interventions · doi:10.1016/j.invent.2016.02.001 · Cited by 326
Raggatt, M., Wright, C. J. C., Carrotte, E., Jenkinson, R., Mulgrew, K., Prichard, I., & Lim, M. S. C. (2018) · BMC Public Health · doi:10.1186/s12889-018-5930-7 · Cited by 239
“We may have also recruited participants who are likely to spend more time on social media than those in the wider population who access fitspiration content [49].”
BackgroundKhazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J., & Thorens, G. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2759 · Cited by 201
Social Media for Networking, Professional Development, and Patient Engagement
Markham, M. J., Gentile, D., & Graham, D. L. (2017) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_180077 · Cited by 117
Maloni, J. A., Przeworski, A., & Damato, E. G. (2013) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2012.12.001 · Cited by 80
Garland, S. M., Cornall, A. M., Brotherton, J. M. L., Wark, J. D., Malloy, M. J., & Tabrizi, S. N. (2018) · Vaccine · doi:10.1016/j.vaccine.2018.04.080 · Cited by 50
Self-citationBriones, E. M., & Benham, G. (2017) · Behavior Research Methods · doi:10.3758/s13428-016-0710-8 · Cited by 48
Varanasi, L. C., Subasinghe, A., Jayasinghe, Y. L., Callegari, E. T., Garland, S. M., Gorelik, A., & Wark, J. D. (2018) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/ajo.12730 · Cited by 42
Self-citationEllis, L. A., McCabe, K. L., Rahilly, K. A., Nicholas, M. A., Davenport, T. A., Burns, J. M., & Hickie, I. B. (2014) · Clinical Investigation · doi:10.4155/cli.14.61 · Cited by 38
Hui, A., Wong, P. W.-C., & Fu, K.-W. (2015) · JMIR Mental Health · doi:10.2196/mental.3649 · Cited by 33
Metadata
- Authors
- Fenner, Y., Garland, S. M., Moore, E. E., Jayasinghe, Y., Fletcher, A., Tabrizi, S. N., Gunasekaran, B., & Wark, J. D.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2012-02-01
- Volume
- 14
- Issue
- 1
- Pages
- e20
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2020345239
- Cited by
- 407
- References
- 2
- FWCI
- 43.40
- Type
- journal article
- Language
- en
- Open access
- gold
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