2020
DOI: 10.1007/s11904-020-00530-1
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Recruitment of US Adolescents and Young Adults (AYA) into Human Immunodeficiency Virus (HIV)–Related Behavioral Research Studies: A Scoping Review

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Cited by 8 publications
(4 citation statements)
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“…Sexual and gender minority youth are increasingly important to recruit into prevention research to accurately develop prevention strategies that represent and are tailored toward diverse communities. Strategies are needed to recruit youth that represent local demographics and geography (ie, in states such as Michigan with large rural populations) and risk groups in localized epidemics [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…Sexual and gender minority youth are increasingly important to recruit into prevention research to accurately develop prevention strategies that represent and are tailored toward diverse communities. Strategies are needed to recruit youth that represent local demographics and geography (ie, in states such as Michigan with large rural populations) and risk groups in localized epidemics [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…To curb the growing HIV epidemic among youth, it is essential to maintain contact with eligible study participants and engage in regular HIV care or adhere to HIV treatment regimens [ 4 ]. However, recruiting youth living with HIV in the treatment cascade is challenging [ 2 , 5 ] because of several factors, including transportation barriers in rural areas [ 6 , 7 ] and the lack of access to health services and technology [ 8 ]. Although traditional recruitment methods such as field-based strategies and venue-based sampling have been adapted for adults living with HIV [ 9 , 10 ], such strategies may not be efficient or acceptable methods of recruitment for rural and clinic-based populations and web-based samples.…”
Section: Introductionmentioning
confidence: 99%
“…Social media has been widely used for HIV research for promoting HIV prevention [3], [7], recruiting participants for research studies [8], surveillance [9], [10], and secondary data analysis [11]. For example, Heerden et al [9] used the prevalence and patterns of social media use related to HIV risk in South Africa using Twitter, Instagram, and YouTube.…”
Section: Introductionmentioning
confidence: 99%