| Literature DB >> 35931953 |
Brooke G Rogers1,2, C Sosnowy3, A Zanowick-Marr3, P A Chan3,4, L A Mena5,6, R R Patel7, W C Goedel8, T Arnold9, C Chu3, D Galipeau3, M C Montgomery3, K Curoe7, A Underwood7, J Villalobos7, C Gomillia5, A S Nunn10.
Abstract
BACKGROUND: Pre-exposure prophylaxis (PrEP) can significantly reduce HIV acquisition especially among communities with high HIV prevalence, including men who have sex with men (MSM). Much research has been finding suboptimal PrEP persistence; however, few studies examine factors that enhance PrEP persistence in real-world settings.Entities:
Keywords: Medication adherence; Persistence; PrEP continuum; Pre-exposure prophylaxis; Retention in care
Mesh:
Substances:
Year: 2022 PMID: 35931953 PMCID: PMC9354303 DOI: 10.1186/s12879-022-07658-y
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.667
Demographic and behavioral factors among participants of adherent PrEP interviews
| Mississippi | Missouri | Rhode Island | Total | |||||
|---|---|---|---|---|---|---|---|---|
| (26.0, 22–33) | (29.6, 20–63) | (40.3, 19–69) | (30.0, 25–34) | |||||
| White | 1 | (20.0%) | 9 | (56.3%) | 8 | (66.6%) | 18 | (54.5%) |
| Black | 4 | (80.0%) | 5 | (31.3%) | 1 | (8.3%) | 10 | (30.3%) |
| Asian | 0 | (0.0%) | 1 | (6.3%) | 1 | (8.3%) | 3 | (9.1%) |
| Other | 0 | (0.0%) | 0 | (0.0%) | 1 | (8.3%) | 1 | (3.0%) |
| Multiple Races | 0 | (0.0%) | 1 | (6.3%) | 2 | (16.7%) | 1 | (3.0%) |
| Decline to Answer | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) |
| Hispanic/Latino | 0 | (0.0%) | 0 | (0.0%) | 1 | (8.3%) | 1 | (3.0%) |
| Non-Hispanic/Latino | 5 | (100.0%) | 16 | (100.0%) | 11 | (91.7%) | 32 | (97.0%) |
| Gay | 4 | (80.0%) | 15 | (92.7%) | 11 | (91.7%) | 30 | (90.9%) |
| Bisexual | 1 | (20.0%) | 1 | (6.3%) | 0 | (0.0%) | 2 | (6.1%) |
| Queer | 0 | (0.0%) | 0 | (0.0%) | 1 | (8.3%) | 1 | (3.0%) |
| Private | 4 | (80.0%) | 12 | (75.0%) | 9 | (75.0%) | 25 | (75.8%) |
| Medicare | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) |
| Medicaid | 0 | (0.0%) | 2 | (12.5%) | 3 | (25.0%) | 5 | (15.2%) |
| None | 1 | (20.0%) | 2 | (12.5%) | 0 | (0.0%) | 3 | (9.1%) |
| Some high school | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) | 0 | (0.0%) |
| High school graduate | 0 | (0.0%) | 0 | (0.0%) | 2 | (16.7%) | 2 | (6.1%) |
| Some college/technical school | 2 | (40.0%) | 5 | (31.2%) | 2 | (16.7%) | 9 | (27.3%) |
| College graduate | 2 | (40.0%) | 8 | (50.0%) | 4 | (33.3%) | 14 | (42.4%) |
| Graduate School | 1 | (20.0%) | 3 | (18.8%) | 4 | (33.3%) | 8 | (24.2%) |
| Full-time | 3 | (60.0%) | 11 | (68.8%) | 9 | (75.0%) | 23 | (69.7%) |
| Part-time | 1 | (20.0%) | 3 | (18.8%) | 1 | (8.3%) | 5 | (15.2%) |
| Unemployed | 0 | (0.0%) | 1 | (6.3%) | 1 | (8.3%) | 2 | (6.1%) |
| Student | 1 | (20.0%) | 0 | (0.0%) | 0 | (0.0%) | 1 | (3.0%) |
| Retired | 0 | (0.0%) | 0 | (0.0%) | 1 | (8.3%) | 1 | (2.0%) |
| Other | 0 | (0.0%) | 1 | (6.3%) | 0 | (0.0%) | 1 | (2.0%) |
| Less than $10,000 | 0 | (0.0%) | 1 | (6.3%) | 0 | (0.0%) | 1 | (3.0%) |
| $10,001 to $20,000 | 1 | (20.0%) | 1 | (6.3%) | 0 | (0.0%) | 2 | (6.1%) |
| $20,001 to $50,000 | 1 | (20.0%) | 6 | (37.5%) | 2 | (16.7%) | 11 | (33.3%) |
| $50,001 to $75,000 | 2 | (40.0%) | 2 | (12.5%) | 4 | (33.3%) | 8 | (24.2%) |
| $75,001 or more | 1 | (20.0%) | 3 | (18.8%) | 5 | (41.7%) | 9 | (27.2%) |
| Declined to answer | 0 | (0.0%) | 1 | (6.3%) | 1 | (8.3%) | 2 | (6.1%) |
| Yes | 2 | (40.0%) | 4 | (25.0%) | 2 | (16.7%) | 8 | (24.2%) |
| No | 3 | (60.0%) | 12 | (75.0%) | 9 | (75.0%) | 24 | (72.7%) |