| Literature DB >> 33285137 |
Brenda Hoagland1, Thiago S Torres2, Daniel R B Bezerra2, Marcos Benedetti2, Cristina Pimenta3, Valdilea G Veloso2, Beatriz Grinsztejn2.
Abstract
In March 2020, telemedicine and HIV self-testing were adopted by Brazilian Public Health services to minimize disruptions in pre-exposure prophylaxis (PrEP) access and delivery during the COVID-19 pandemic. To understand the acceptability of PrEP teleconsultation and HIV self-testing, we conducted a web-based study during social distancing period (April-May, 2020) among men who have sex with men and transgender/non-binary individuals using social media. Out of the 2375 HIV negative respondents, 680 reported PrEP use and were included in this analysis. Median age was 33 years (IQR: 28-40), 98% cisgender men, 56% white, 74% high education, and 68% middle/high income. Willingness to use HIVST was 79% and 32% received an HIV self-testing during social distancing period. The majority reported preference for PrEP/HIV self-testing home delivery instead of collecting at the service. PrEP teleconsultation was experienced by 21% and most reported feeling satisfied with the procedures. High acceptability of PrEP teleconsultation was reported by 70%. In ordinal logistic model, having higher education was associated with high aceptability of PrEP teleconsultation (aOR:1.62; 95%CI: 1.07-2.45). Our results point out that PrEP teleconsultation and PrEP/HIV self-testing home delivery could be implemented by PrEP services in Brazil to avoid PrEP shortage during the COVID-19 pandemic and thereafter as an option to increase retention and adherence.Entities:
Keywords: Brazil; COVID-19; HIV self-testing; PrEP; Telemedicine
Mesh:
Year: 2020 PMID: 33285137 PMCID: PMC7833416 DOI: 10.1016/j.bjid.2020.11.002
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
Fig. 1Study flow-chart. Brazil, 2020.
Participants characteristics. Brazil, 2020.
| Median | 33 (IQR: 28–40) |
| 18–24 | 45 (6.6) |
| 25–35 | 352 (51.8) |
| >35 | 283 (41.6) |
| Cisgender men | 666 (97.9) |
| Transgender/non-binary | 14 (2.1) |
| Black | 100 (14.7) |
| | 200 (29.4) |
| White | 380 (55.9) |
| Low | 180 (26.5) |
| High | 500 (73.5) |
| Low | 221 (32.5) |
| Middle | 271 (39.9) |
| High | 188 (27.6) |
| North | 13 (1.9) |
| Northeast | 18 (2.7) |
| Central-west | 60 (8.9) |
| Southeast | 522 (77.1) |
| South | 64 (9.5) |
| Yes | 580 (85.7) |
| No | 97 (14.3) |
| Hornet | 169 (24.9) |
| 511 (75.1) | |
Factors associated with high acceptability of PrEP teleconsultation. Brazil, 2020. n = 534.
| High acceptability of PrEP teleconsultation | Ordinal logistic model | |||
|---|---|---|---|---|
| Yes ( | No ( | aOR (95%CI) | ||
| 18–24 | 21 (5.6) | 15 (9.3) | Ref. | |
| 24–35 | 203 (54.4) | 80 (49.7) | 1.27 (0.66–2.45) | 0.47 |
| >35 | 149 (39.9) | 66 (41.0) | 1.09 (0.55–2.14) | 0.81 |
| Cisgender men | 369 (98.9) | 154 (95.7) | Ref. | |
| Transgender/non binary | 4 (1.1) | 7 (4.3) | 2.51 (0.79–7.86) | 0.11 |
| Low | 79 (21.2) | 58 (36.0) | ||
| High | 294 (78.8) | 103 (64.0) | ||
| Black | 58 (15.5) | 24 (14.9) | 0.97 (0.61–1.54) | 0.88 |
| | 93 (24.9) | 58 (36.0) | 0.78 (0.53–1.14) | 0.19 |
| White | 222 (59.5) | 79 (49.1) | Ref. | |
| Low | 112 (30.0) | 65 (40.4) | Ref. | |
| Middle | 145 (38.9) | 64 (39.8) | 1.14 (0.76–1.71) | 0.53 |
| High | 116 (31.1) | 32 (19.9) | 1.37 (0.87–2.15) | 0.17 |
| Yes | 319 (86.0) | 134 (83.2) | 1.11 (0.70–1.75) | 0.65 |
| No | 52 (14.0) | 27 (16.8) | Ref. | |
| Yes, casual partner | 166 (44.5) | 72 (44.7) | 1.34 (0.93–1.92) | 0.11 |
| Yes, steady partner | 81 (21.7) | 30 (18.6) | 1.37 (0.88–2.14) | 0.16 |
| No sex | 126 (33.8) | 59 (36.6) | Ref. | |
Bold indicates statistical significance (p < .05).