| Literature DB >> 32971053 |
Ruanne V Barnabas1, Adam A Szpiro2, Heidi van Rooyen3, Stephen Asiimwe4, Deenan Pillay5, Norma C Ware6, Torin T Schaafsma7, Meighan L Krows7, Alastair van Heerden3, Philip Joseph8, Maryam Shahmanesh5, Monique A Wyatt6, Kombi Sausi8, Bosco Turyamureeba4, Nsika Sithole5, Susan Morrison7, Adrienne E Shapiro9, D Allen Roberts10, Katherine K Thomas7, Olivier Koole11, Anna Bershteyn12, Peter Ehrenkranz13, Jared M Baeten14, Connie Celum14.
Abstract
BACKGROUND: Community-based delivery of antiretroviral therapy (ART) for HIV, including ART initiation, clinical and laboratory monitoring, and refills, could reduce barriers to treatment and improve viral suppression, reducing the gap in access to care for individuals who have detectable HIV viral load, including men who are less likely than women to be virally suppressed. We aimed to test the effect of community-based ART delivery on viral suppression among people living with HIV not on ART.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32971053 PMCID: PMC7527697 DOI: 10.1016/S2214-109X(20)30313-2
Source DB: PubMed Journal: Lancet Glob Health ISSN: 2214-109X Impact factor: 26.763
FigureTrial profile
ART=antiretroviral therapy. *Participants were counted once for the first exclusion criteria they met. †Three participants lost-to-follow-up contributed to the modified intention-to-treat analysis with viral loads ascertained from their clinic charts. ‡One participant lost-to-follow-up contributed to the modified intention-to-treat analysis with viral loads ascertained from their clinic charts. §Two participants lost-to-follow-up contributed to the modified intention-to-treat analysis with viral loads ascertained from their clinic charts.
Baseline characteristics
| Gender | |||||
| Men | 230 (52%) | 217 (49%) | 219 (51%) | 666 (51%) | |
| Women | 216 (48%) | 225 (51%) | 208 (49%) | 649 (49%) | |
| Age, years | |||||
| 18–29 | 150 (34%) | 179 (40%) | 158 (37%) | 487 (37%) | |
| 30–49 | 264 (59%) | 230 (52%) | 234 (55%) | 728 (55%) | |
| ≥50 | 32 (7%) | 33 (7%) | 35 (8%) | 100 (8%) | |
| Education | |||||
| Primary | 136/439 (31%) | 144/431 (33%) | 123/412 (30%) | 403/1282 (31%) | |
| Secondary | 289/439 (66%) | 275/431 (64%) | 272/412 (66%) | 836/1282 (65%) | |
| Tertiary | 14/439 (3%) | 12/431 (3%) | 17/412 (4%) | 43/1282 (3%) | |
| Employed | 177 (40%) | 190 (43%) | 176 (41%) | 543 (41%) | |
| Study household size | |||||
| 1 | 425 (95%) | 424 (96%) | 407 (95%) | 1256 (96%) | |
| 2 | 21 (5%) | 18 (4%) | 20 (5%) | 59 (4%) | |
| In relationship | 276 (62%) | 285 (64%) | 279 (65%) | 840 (64%) | |
| Number of current sexual partners | |||||
| 0 | 37/440 (8%) | 40/439 (9%) | 34/426 (8%) | 111/1305 (9%) | |
| 1 | 331/440 (75%) | 332/439 (76%) | 326/426 (77%) | 989/1305 (76%) | |
| ≥2 | 72/440 (16%) | 67/439 (15%) | 66/426 (15%) | 205/1305 (16%) | |
| Condom used at last sex | 108/439 (25%) | 94/435 (22%) | 93/422 (22%) | 295/1296 (23%) | |
| Circumcised if male | 54/230 (23%) | 43/217 (20%) | 47/219 (21%) | 144/666 (22%) | |
| Patient aware of nearby HIV clinic | 436 (98%) | 436/441 (99%) | 415 (97%) | 1287/1314 (98%) | |
| WHO stage | |||||
| Stage 1 | 395 (89%) | 399 (90%) | 382 (89%) | 1176 (89%) | |
| Stage 2 | 40 (9%) | 36 (8%) | 40 (9%) | 116 (9%) | |
| Stage 3 | 11 (2%) | 7 (2%) | 5 (1%) | 23 (2%) | |
| CD4 cell count, cells per μL | |||||
| 100–349 | 150 (34%) | 143 (32%) | 160 (37%) | 453 (34%) | |
| 350–499 | 106 (24%) | 107 (24%) | 110 (26%) | 323 (25%) | |
| ≥500 | 190 (43%) | 192 (43%) | 157 (37%) | 539 (41%) | |
| Creatinine, μmol/L | |||||
| <106 | 418 (94%) | 417 (94%) | 408 (96%) | 1243 (95%) | |
| 106–133 | 28 (6%) | 25 (6%) | 19 (4%) | 72 (5%) | |
| Dried blood spot viral load, copies per mL | |||||
| 20–999 | 89/404 (22%) | 96/404 (24%) | 79/396 (20%) | 264/1204 (22%) | |
| 1000–9999 | 156/404 (39%) | 145/404 (36%) | 175/396 (44%) | 476/1204 (40%) | |
| ≥10 000 | 159/404 (39%) | 163/404 (40%) | 142/396 (36%) | 464/1204 (39%) | |
Data are n (%). Data are for the modified intention-to-treat population.
Rates and relative risks of viral suppression
| Clinic group | Hybrid group | Community group | Hybrid group versus clinic group | Community group versus clinic group | ||||
|---|---|---|---|---|---|---|---|---|
| RR (95% CI) | p value | RR (95% CI) | p value | |||||
| Overall for South Africa and Uganda | 269/426 (63%) | 282/413 (68%) | 306/414 (74%) | 1·08 (0·98–1·19) | 0·12; 0·0049 | 1·18 (1·07–1·29) | 0·0005 | |
| Gender overall | .. | .. | .. | .. | 0·035 | .. | 0·0067 | |
| Men | 120/221 (54%) | 134/203 (66%) | 156/213 (73%) | 1·19 (1·02–1·40) | .. | 1·34 (1·16–1·55) | .. | |
| Women | 149/205 (73%) | 148/210 (70%) | 150/201 (75%) | 0·98 (0·87–1·10) | .. | 1·04 (0·93–1·17) | .. | |
| Age overall, years | .. | .. | .. | .. | 0·85 | .. | 0·50 | |
| 18–29 | 98/144 (68%) | 114/160 (71%) | 116/154 (75%) | 1·07 (0·92–1·24) | .. | 1·14 (0·98–1·31) | .. | |
| ≥30 | 171/282 (61%) | 168/253 (66%) | 190/260 (73%) | 1·08 (0·96–1·23) | .. | 1·20 (1·07–1·35) | .. | |
| Site | .. | .. | .. | .. | 0·21 | .. | 0·16 | |
| Southwestern Uganda | 64/84 (76%) | 66/91 (73%) | 74/94 (79%) | 0·97 (0·81–1·16) | .. | 1·06 (0·90–1·24) | .. | |
| Midlands KwaZulu-Natal, South Africa | 125/213 (59%) | 137/216 (63%) | 151/220 (69%) | 1·08 (0·93–1·25) | .. | 1·17 (1·01–1·35) | .. | |
| Northern KwaZulu-Natal, South Africa | 80/129 (62%) | 79/106 (75%) | 81/100 (81%) | 1·20 (1·01–1·42) | .. | 1·31 (1·11–1·55) | .. | |
| South Africa | 205/342 (60%) | 216/322 (67%) | 232/320 (72%) | 1·12 (1·00–1·25) | 0·055; 0·0026 | 1·22 (1·09–1·36) | 0·0004 | |
| Gender for South Africa | .. | .. | .. | .. | 0·037 | .. | 0·015 | |
| Men | 91/178 (51%) | 100/153 (65%) | 113/158 (72%) | 1·26 (1·04–1·51) | .. | 1·39 (1·17–1·66) | .. | |
| Women | 114/164 (70%) | 116/169 (69%) | 119/162 (73%) | 0·99 (0·86–1·15) | .. | 1·07 (0·93–1·22) | .. | |
Data are n (%) unless specified. Data are for the modified intention-to-treat population, overall and among subgroups. RR=relative risk.
Adjusted for gender, age younger than 30 years, baseline CD4 cell count (WHO category), and study site.
p value for a one-sided Wald test for non-inferiority (RR >0·95).
p value for a Wald test for significant interaction.
Annual cost per client of community-based ART
| Southwestern Uganda | Midlands KwaZulu-Natal, South Africa | Northern KwaZulu-Natal, South Africa | Southwestern Uganda | Midlands KwaZulu-Natal, South Africa | Northern KwaZulu-Natal, South Africa | |
|---|---|---|---|---|---|---|
| Drugs | $110 (51%) | $118 (38%) | $118 (38%) | $110 (59%) | $118 (48%) | $118 (49%) |
| Personnel | $23 (11%) | $99 (32%) | $90 (29%) | $19 (10%) | $69 (28%) | $64 (26%) |
| Laboratories | $36 (16%) | $60 (19%) | $60 (19%) | $22 (12%) | $34 (14%) | $34 (14%) |
| Vehicles | $11 (5%) | $9 (3%) | $12 (4%) | $9 (5%) | $6 (3%) | $8 (3%) |
| Start-up | $3 (1%) | $11 (3%) | $12 (4%) | $2 (1%) | $8 (3%) | $9 (4%) |
| Fuel | $17 (8%) | $4 (1%) | $4 (1%) | $13 (7%) | $3 (1%) | $3 (1%) |
| Building | $10 (5%) | $8 (3%) | $7 (2%) | $8 (4%) | $6 (2%) | $5 (2%) |
| Equipment | $5 (2%) | $2 (1%) | $4 (1%) | $1 (<1%) | <$1 (<1%) | <$1 (<1%) |
| Other | $2 (1%) | $1 (<1%) | $1 (<1%) | $2 (1%) | $1 (<1%) | $1 (<1%) |
| Total | $217 (100%) | $312 (100%) | $308 (100%) | $187 (100%) | $246 (100%) | $244 (100%) |
Data are cost (% of total cost). Cost is in 2018 US$.