Publication Cover
AIDS Care
Psychological and Socio-medical Aspects of AIDS/HIV
Volume 32, 2020 - Issue 7
132
Views
2
CrossRef citations to date
0
Altmetric
Articles

Demographic differences in people living with HIV according to recruitment sources: comparison between health-care systems and social media networks

, , , , , , , , , , & ORCID Icon show all
Pages 901-906 | Received 04 Jan 2019, Accepted 03 Sep 2019, Published online: 18 Sep 2019

References

  • Bertrand, J. T., & Anhang, R. (2006). The effectiveness of mass media in changing HIV/AIDS-related behaviour among young people in developing countries. World Health Organization Technical Report Series, 938, 205–241. discussion 317–241.
  • Chiu, C. J., & Young, S. D. (2016). Correlates of requesting home HIV self-testing kits on online social networks among African–American and Latino men who have sex with men. AIDS Care, 28(3), 289–293. doi: 10.1080/09540121.2015.1090533
  • Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: SAGE.
  • Dawood, M. (2008). Sampling rare populations. Nurse Researcher, 15(4), 35–41. doi: 10.7748/nr2008.07.15.4.35.c6661
  • Digital Development Report. (2017). Retrieved from https://www.ndc.gov.tw/cp.aspx?n=55c8164714dfd9e9
  • Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., … Haines, A. (2013). The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: A systematic review. PLoS Medicine, 10(1), e1001362. doi: 10.1371/journal.pmed.1001362
  • Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., … Haines, A. (2013). The effectiveness of mobile-health technologies to improve health care service delivery processes: A systematic review and meta-analysis. PLoS Medicine, 10(1), e1001363. doi: 10.1371/journal.pmed.1001363
  • Gama, A., Martins, M. O., & Dias, S. (2017). HIV research with men who have sex with men (MSM): Advantages and challenges of different methods for most appropriately targeting a key population. AIMS Public Health, 4(3), 221–239. doi: 10.3934/publichealth.2017.3.221
  • HIV statistics from CDC, Taiwan. (2016, December). Retrieved from https://www.syndriver.com/portal/#/sharing/541e7a7158ed48f8928b8d59b31d9762
  • Jones, R., Lacroix, L. J., & Porcher, E. (2017). Facebook advertising to recruit young, urban women into an HIV prevention clinical trial. AIDS and Behavior, 21(11), 3141–3153. doi: 10.1007/s10461-017-1797-3
  • Jones, J., & Salazar, L. F. (2016). A review of HIV prevention studies that use social networking sites: Implications for recruitment, health promotion campaigns, and efficacy trials. AIDS and Behavior, 20(11), 2772–2781. doi: 10.1007/s10461-016-1342-9
  • Kandola, D., Banner, D., O’Keefe-McCarthy, S., & Jassal, D. (2014). Sampling methods in cardiovascular nursing research: An overview. Canadian Journal of Cardiovascular Nursing, 24(3), 15–18.
  • Kendall, C., Kerr, L. R., Gondim, R. C., Werneck, G. L., Macena, R. H., Pontes, M. K., … McFarland, W. (2008). An empirical comparison of respondent-driven sampling, time location sampling, and snowball sampling for behavioral surveillance in men who have sex with men, Fortaleza, Brazil. AIDS and Behavior, 12(4 Suppl), S97–104. doi: 10.1007/s10461-008-9390-4
  • Kirchherr, J., & Charles, K. (2018). Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia. PLoS One, 13(8), e0201710. doi: 10.1371/journal.pone.0201710
  • Kish, L. (1991). A taxonomy of elusive populations. Journal of Official Statistics, 7(3), 339–347.
  • Medeossi, B. J., Stadler, J., & Delany-Moretlwe, S. (2014). “I heard about this study on the radio”: Using community radio to strengthen good participatory practice in HIV prevention trials. BMC Public Health, 14, 876. doi: 10.1186/1471-2458-14-876
  • Rao, A., Stahlman, S., Hargreaves, J., Weir, S., Edwards, J., Rice, B., … Baral, S. (2017). Sampling key populations for HIV surveillance: Results from eight cross-sectional studies using respondent-driven sampling and venue-based snowball sampling. JMIR Public Health Surveill, 3(4), e72. doi: 10.2196/publichealth.8116
  • Russell, C. W., Boggs, D. A., Palmer, J. R., & Rosenberg, L. (2010). Use of a web-based questionnaire in the black women’s health study. American Journal of Epidemiology, 172(11), 1286–1291. doi: 10.1093/aje/kwq310
  • Sabin, K. M., & Johnston, L. G. (2014). Epidemiological challenges to the assessment of HIV burdens among key populations: Respondent-driven sampling, time-location sampling and demographic and health surveys. Current Opinion in Hiv and Aids, 9(2), 101–106. doi: 10.1097/COH.0000000000000046
  • van Gelder, M. M., Bretveld, R. W., & Roeleveld, N. (2010). Web-based questionnaires: The future in epidemiology? American Journal of Epidemiology, 172(11), 1292–1298. doi: 10.1093/aje/kwq291
  • WHO. (2011). mHealth: New horizons for health through mobile technologies. Retrieved from http://www.who.int/goe/publications/goe_mhealth_web.pdf

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.