| Literature DB >> 29766328 |
Casey Schumann1, Danielle Kahn2, Michelle Broaddus3, Jacob Dougherty4, Megan Elderbrook4, James Vergeront4, Ryan Westergaard2.
Abstract
Alternative HIV testing strategies are needed to engage individuals not reached by traditional clinical or non-clinical testing programs. A social networks recruitment strategy, in which people at risk for or living with HIV are enlisted and trained by community-based agencies to recruit individuals from their social, sexual, or drug-using networks for HIV testing, demonstrates higher positivity rates compared to other non-clinical recruitment strategies in some jurisdictions. During 2013-2015, a social networks testing protocol was implemented in Wisconsin to standardize an existing social networks testing program. Six community-based, non-clinical agencies with multiple sites throughout the state implemented the protocol over the 2-year period. Both quantitative and qualitative data were collected. The new positivity rate (0.49%) through social networks testing did not differ from that of traditional counseling, testing, and referral recruitment methods (0.48%). Although social networks testing did not yield a higher new positivity rate compared to other testing strategies, it proved to be successful at reaching high risk individuals who may not otherwise engage in HIV testing.Entities:
Keywords: Counseling; HIV testing; Referral; Social network; Testing
Mesh:
Year: 2019 PMID: 29766328 PMCID: PMC6249107 DOI: 10.1007/s10461-018-2146-x
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Characteristics of individuals tested for HIV at 18 targeted testing sites by testing program, Wisconsin, September 2013–August 2015
| Social networks testing | Counseling, testing and referral | P value | |
|---|---|---|---|
| Total | 1232 | 14,595 | |
| Gender | P < 0.0001 | ||
| Female | 221 (18) | 2749 (19) | |
| Male | 970 (79) | 11,706 (80) | |
| Transgender | 40 (3) | 132 (1) | |
| Other | 1 (0.08) | 8 (0.05) | |
| Age (years) | P < 0.0001 | ||
| ≤ 24 | 410 (33) | 4237 (29) | |
| 25-34 | 389 (32) | 5150 (35) | |
| 35-44 | 189 (15) | 2436 (17) | |
| 45 and older | 244 (20) | 2772 (19) | |
| Race/ethnicity | P < .0001 | ||
| White | 391 (32) | 6546 (45) | |
| Black/African American | 556 (45) | 5330 (37) | |
| Hispanic | 197 (16) | 1916 (13) | |
| American Indian | 39 (3) | 215 (1) | |
| Asian/Pacific Islander | 18 (1) | 225 (2) | |
| More than One Race | 31 (3) | 307 (2) | |
| Unknown | 0 (0) | 26 (0.2) | |
| Risk group | P < .0001 | ||
| High-risk heterosexual | 123 (10) | 3765 (26) | |
| IDU | 315 (25) | 2069 (14) | |
| MSM | 580 (47) | 4955 (34) | |
| MSM/IDU | 113 (9) | 276 (2) | |
| Other risk/unknown | 101 (8) | 3530 (24) | |
| Tested positive | |||
| Number of positive results (new positivity rate) | 23 (0.49) | 137 (0.48) | 0.97 |
IDU injection drug use
MSM men who have sex with men
Characteristics of individuals receiving more than once social networks test during the study period
| N (%) | |
|---|---|
| Total | 60 |
| Gender | |
| Female | 4 (7) |
| Male | 53 (88) |
| Age (years) | |
| ≤ 24 | 26 (43) |
| 25–34 | 18 (30) |
| 35–44 | 6 (10) |
| 45 and older | 10 (17) |
| Race/ethnicity | |
| White | 14 (23) |
| Black/African American | 40 (67) |
| Hispanic | 4 (7) |
| Asian/Pacific Islander | 1 (2) |
| More than one race | 1 (2) |
| Risk group | |
| High-Risk Heterosexual | 4 (7) |
| IDU | 4 (7) |
| MSM | 44 (73) |
| MSM/IDU | 5 (8) |
| Other risk/unknown | 3 (5) |
IDU injection drug use
MSM men who have sex with men