| Literature DB >> 23272125 |
Henry Tumwebaze1, Elioda Tumwesigye, Jared M Baeten, Ann E Kurth, Jennifer Revall, Pamela M Murnane, Larry W Chang, Connie Celum.
Abstract
BACKGROUND: Combination HIV prevention initiatives incorporate evidence-based, biomedical and behavioral interventions appropriate and acceptable to specific populations, aiming to significantly reduce population-level HIV incidence. Knowledge of HIV serostatus is key to linkages to HIV care and prevention. Household-based HIV counseling and testing (HBCT) can achieve high HIV testing rates. We evaluated HBCT as a platform for delivery of combination HIV prevention services in sub-Saharan Africa.Entities:
Mesh:
Year: 2012 PMID: 23272125 PMCID: PMC3521653 DOI: 10.1371/journal.pone.0051620
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Home-based HIV counseling and testing in southwestern Uganda.
|
| 855 |
|
| 1941 |
|
| 1587 (81.8%) |
|
| 1558 (98.2%) |
|
| 1557 (99.9%) |
| Female | 834 (53.6%) |
| Male | 724 (46.5%) |
| First time tested | 453 (29.1%) |
|
| 152 (9.8%) |
| Newly-identified infections (% of positives) | 77 (50.7%) |
|
| |
| Adults reporting a partner in the home (% of tested) | 544 (34.9%) |
| Partner tested (% of those reporting partner in home) | 328 (60.3%) |
|
| 164 |
| Both partners disclosed to each other | 161 (98.2%) |
| HIV serodiscordant (% of couples) | 15 (9.1%) |
| HIV concordant positive (% of couples) | 15 (9.1%) |
| HIV concordant negative (% of couples) | 134 (81.7%) |
HBCT = home-based HIV counseling and testing.
Population characteristics.
| FEMALES | MALES | |||||
| HIV Seropositive N = 100 | HIV seronegative N = 734 | HIV seropositive N = 52 | HIV seronegative N = 672 | |||
|
| 28 (23–36) | 25 (20–35) | 30 (28–40) | 25 (21–35) | ||
|
| 6 (3–7) | 7 (5–11) | 7 (4–11) | 9 (7–12) | ||
|
| Married monogamous | 53 (53.0%) | 422 (57.5%) | 37 (71.1%) | 355 (52.8%) | |
| Married polygamous | 0 | 0 | 4 (7.7%) | 8 (1.2%) | ||
| Divorced | 20 (20.0%) | 35 (4.8%) | 1 (1.9%) | 18 (2.7%) | ||
| Widowed | 17 (17.0%) | 51 (6.9%) | 2 (3.8%) | 3 (0.4%) | ||
| Single | 10 (10.0%) | 226 (30.8%) | 8 (15.4%) | 288 (42.9%) | ||
|
| 1 (0–1) | 1 (0–1) | 1 (1–1) | 1 (1–1) | ||
|
| No | 79 (79.0%) | 543 (74.6%) | 41 (78.8%) | 467 (70.9%) | |
| Yes | 17 (17.0%) | 91 (12.5%) | 11 (21.2%) | 120 (18.2%) | ||
| Don’t know | 1 (1.0%) | 10 (1.4%) | 0 | 6 (0.9%) | ||
| Decline to answer | 3 (3.0%) | 84 (11.5%) | 0 | 66 (10.0%) | ||
|
| No | 24 (24.0%) | 155 (21.2%) | 21 (40.4%) | 253 (37.6%) | |
| Yes | 76 (76.0%) | 575 (78.7%) | 31 (59.6%) | 414 (61.6%) | ||
| Decline to answer | 0 | 1 (0.1%) | 0 | 5 (0.7%) | ||
|
| Negative | 26 (34.2%) | 572 (99.5%) | 12 (38.7%) | 411 (99.3%) | |
| Positive | 49 (64.5%) | 0 | 19 (61.3%) | 1 (0.2%) | ||
| Don’t know/decline to answer | 1 (1.3%) | 3 (0.5%) | 0 | 2 (0.4%) | ||
|
| Months knew status, median (IQR) | 30.8 (8.8–53.5) | N/A | 25 (8.5–54) | N/A | |
| Knew HIV infected >1 year | 38 (70.4%) | N/A | 15 (71.4%) | N/A | ||
| Had a CD4 count in past year | 21 (55.3%) | N/A | 10 (66.7%) | N/A | ||
| Previously visited HIV clinic | 48 (88.9%) | N/A | 18 (85.7%) | N/A | ||
|
| N/A | N/A | 44 (84.6%) | 570 (84.9%) | ||
Married monogamous represents civil as well as religious marriages.
Follow-up.
| number (cumulative % | ||
|
|
| 152 |
|
| 467 (330–687) | |
|
| 66 (43.9%) | |
| Initiated during follow up | 34 | |
| On at enrollment | 32 | |
|
| 131 (89.9%) | |
| Initiated during follow up | 74 | |
| On at enrollment | 57 | |
|
| 133 (88.5%) | |
|
|
| 28 |
|
| 22 (78.6%) | |
| Initiated during follow up | 15 | |
| On at enrollment | 7 | |
|
| 24 (91.3%) | |
| Initiated during follow up | 12 | |
| On at enrollment | 12 | |
|
| 25 (89.3%) | |
|
|
| 123 |
|
| 75 (62.0%) |
Cumulative % is estimated by the Kaplan-Meier method.
Figure 1Cumulative probability of visiting an HIV clinic.
Results are overall among a) all HIV seropositive persons (n = 152) and b) those not already on ART at baseline (n = 120). After month one, for those on ART, follow-up was discontinued. The cumulative probability of visiting an HIV clinic by 3 months was 88.5% overall and 85.3% among those not already on ART at baseline (Figure 1a and 1b, respectively).
Figure 2Cumulative probability of ART initiation, among HIV seropositive persons with a CD4 count <250 cells/µL and not on ART at baseline.
Results are shown for the 21 HIV seropositive individuals who had a baseline CD4 count <250 cells/µL and were eligible for ART by Ugandan guidelines but not taking 7 ART at baseline. The cumulative probability of ART initiation by 3 months among those with CD4 count <250 cells/µL and not on ART at baseline was 71.4%.
Figure 3Cumulative probability of male circumcision, among HIV seronegative men with multiple partners or a known HIV seropositive partner.
Results are shown for the 123 HIV seronegative men with >1 sexual partner (>2 if polygamous) or a known HIV seropositive partner who were referred for medical male circumcision. The cumulative probability of male circumcision by 3 months was 62.0%.