| Literature DB >> 34871265 |
Sylvia Kusemererwa1, Sheila Kansiime2, Gertrude Mutonyi2, Aeron Namirembe2, Safina Katana1, Jonathan Kitonsa1, Ayoub Kakande2, Joseph Mugisha Okello1, Pontiano Kaleebu1, Eugene Ruzagira1.
Abstract
ABSTRACT: Oral pre-exposure prophylaxis (PrEP) significantly reduces human immunodeficiency virus (HIV) acquisition risk. However, data on predictors of PrEP uptake in sub-Saharan Africa are limited. We assessed predictors of PrEP uptake among HIV-uninfected high risk individuals enrolled in a HIV vaccine preparedness study in Masaka, Uganda.Between July 2018 and October 2020, we recruited adults (18-40 years) from sex work hotspots along the trans-African highway and Lake Victoria fishing communities. We collected baseline data on socio-demographics and PrEP awareness, and provided HIV counselling and testing, information on PrEP, and PrEP referrals at quarterly visits. Urine pregnancy tests (women) and data collection on sexual risk behaviour and PrEP uptake were performed every 6 months. We analysed PrEP uptake among participants who had completed 6 months of follow-up.Of the 588 cohort participants, 362 (62%) were included in this analysis. Of these, 176 (49%) were female, 181 (50%) were aged ≤24 years, 104 (29%) worked in sex work hotspots, 74 (20%) were fisher folk. Only 75 (21%) participants initiated PrEP. Predictors of PrEP uptake included having ≥6 sex partners (adjusted odds ratio [aOR] = 2.29; 95% confidence interval [CI] 1.26-4.17), engaging in transactional sex (aOR = 2.23; 95% CI 0.95-5.20), and residence in a nonfishing community (aOR = 2.40; 95% CI 1.14-5.08). The commonest reasons for not starting PrEP were pill burden (38%) and needing more time to decide (27%).PrEP uptake was low and associated with HIV risk indicators in this cohort. Interventions are needed to improve access to PrEP especially in fishing communities.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34871265 PMCID: PMC8568469 DOI: 10.1097/MD.0000000000027719
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Baseline socio-demographic characteristics of 362 at-risk individuals referred for oral PrEP at Masaka, Uganda.
| Characteristics | Frequency (%) |
| Total |
|
| Gender | |
| Male | 186 (51) |
| Female | 176 (49) |
| Mean age (SD) | 26 (6.0) |
| Age | |
| ≤24 | 181 (50) |
| 25– to 34 | 142 (39) |
| ≥35 | 39 (11) |
| Education | |
| Primary school and below | 241 (67) |
| Secondary school and above | 121 (33) |
| Marital Status | |
| Single | 163 (45) |
| Married/cohabiting/relationship | 148 (41) |
| Divorced/separated/widowed | 51 (14) |
| Religion | |
| Christian | 277 (77) |
| Muslim/other | 85 (23) |
| Occupation∗ | |
| Sex worker | 69 (19) |
| Subsistence fisheries worker | 74 (20) |
| Salon/lodge/bar worker, market/street vendor | 104 (29) |
| Other† | 141 (39) |
| Residence | |
| Fishing village | 140 (39) |
| Nonfishing village | 222 (61) |
| Source of income | |
| Sex work | 69 (19) |
| Other‡ | 293 (81) |
SD = standard deviation.
Bold indicate the level of significance of the P-value <.05
Multiple options allowed.
Professional/technical worker, sales/service worker, office clerk, student, etc.
Formal/informal employment, family, spouse, etc.
Logistic regression analysis of predictors of oral PrEP uptake.
| Bivariate analysis | Multi-variable analysis | |||||
| Characteristic | N | PrEP uptake (%) | OR (95% CI) | aOR (95% CI) | ||
| Overall | 362 | 75 (21) | ||||
| Gender | ||||||
| Male | 186 | 25 (13) |
|
| ||
| Female | 176 | 50 (28) | 2.56 (1.50 to 4.36) |
| 1.53 (0.76 to 3.09) | .237 |
| Age | ||||||
| ≤24 | 181 | 42 (23) |
|
| ||
| 25 to 34 | 142 | 25 (18) | 0.71 (0.41 to 1.23) | 0.65 (0.35 to 1.18) | ||
| ≥35 | 39 | 8 (21) | 0.85 (0.36 to 2.00) | .464 | 1.34 (0.51 to 3.48) | .227 |
| Education | ||||||
| Primary school and below | 241 | 46 (19) |
| |||
| Secondary school and above | 121 | 29 (24) | 1.34 (0.79 to 2.26) | .281 | ||
| Marital status | ||||||
| Single | 163 | 33 (20) |
| |||
| Married/cohabiting/relationship | 148 | 27 (18) | 0.88 (0.50 to 1.55) | |||
| Divorced/separated/widowed | 51 | 15 (29) | 1.64 (0.80 to 3.35) | .254 | ||
| Residence | ||||||
| Fishing village | 140 | 18 (13) |
|
| ||
| Nonfishing village | 222 | 57 (26) | 2.34 (1.31 to 4.18) |
| 2.40 (1.14 to 5.08) |
|
| Religion | ||||||
| Christian | 277 | 58 (21) |
| |||
| Muslim/other | 85 | 17 (20) | 0.94 (0.52 to 1.73) | .852 | ||
| Occupation | ||||||
| Sex worker | 69 | 29 (42) | 3.89 (2.20 to 6.90) |
| ||
| Subsistence fisheries worker | 74 | 13 (18) | 0.78 (0.40 to 1.51) | .454 | ||
| Salon/lodge/bar worker, market/street vendor | 104 | 22 (21) | 1.04 (0.59 to 1.82) | .897 | 0.40 (0.19 to 0.83) |
|
| Other∗ | 141 | 19 (13) | 0.46 (0.26 to 0.81) |
| 0.41 (0.19 to 0.89) |
|
| Used a condom at last sex | ||||||
| No | 270 | 46 (17) |
| |||
| Yes | 92 | 29 (32) | 2.24 (1.30 to 3.86) |
| ||
| Transactional sex in past month | ||||||
| No | 103 | 8 (8) |
|
| ||
| Yes | 259 | 67 (26) | 4.14 (1.91 to 8.98) |
| 2.23 (0.95 to 5.20) |
|
| Has anonymous/casual sexual partners | ||||||
| No | 26 | 1 (4) |
| |||
| Yes | 336 | 74 (22) | 7.06 (0.94 to 52.98) |
| ||
| Sexual partner is older by ≥10 yr | ||||||
| No | 195 | 28 (14) |
| |||
| Yes | 167 | 47 (28) | 2.33 (1.38 to 3.94) |
| ||
| Number of sexual partners last 3 mo | ||||||
| 1–5 | 245 | 32 (13) |
|
| ||
| ≥6 | 117 | 43 (37) | 3.87 (2.28 to 6.56) |
| 2.29 (1.26 to 4.17) |
|
| Diagnosed with/treated for a STI in the past 3 mo | ||||||
| No | 219 | 40 (18) |
| |||
| Yes | 143 | 35 (24) | 1.45 (0.87 to 2.42) | .155 | ||
| Awareness of PrEP at baseline | ||||||
| No | 221 | 37 (17) |
| |||
| Yes | 141 | 38 (27) | 1.83 (1.10 to 3.06) |
| ||
aOR = adjusted odds ratio, CI = confidence interval, N = number, OR = odds ratio, PrEP = pre-exposure prophylaxis, Ref = reference, STI = sexually transmitted infection.
Bold indicate the level of significance of the P-value <0.05
Professional/technical worker, sales/service worker, office clerk, student, etc.