| Literature DB >> 35459177 |
Hamid Vega-Ramirez1, Thiago S Torres2, Centli Guillen-Diaz3, Cristina Pimenta4, Dulce Diaz-Sosa3, Kelika A Konda5, Alessandro Ricardo Caruso da Cunha4, Rebeca Robles-Garcia3, Marcos Benedetti2, Brenda Hoagland2, Daniel R B Bezerra2, Carlos F Caceres5, Beatriz Grinsztejn2, Valdilea G Veloso2.
Abstract
BACKGROUND: In order to end the HIV epidemic by 2030, combination HIV prevention including pre-exposure prophylaxis (PrEP) should be widely available, especially for the most vulnerable populations. In Latin America and the Caribbean (LAC), only 14 out of 46 countries have access to PrEP. In Brazil and Mexico, PrEP has been provided at no cost through the Public Health System since 2017 and 2021, respectively. Thus, HIV physicians' perspectives about PrEP and other prevention strategies may differ. This study aimed to compare awareness, knowledge, and attitudes related to PrEP and other prevention strategies among HIV physicians from Brazil and Mexico.Entities:
Keywords: Brazil; HIV; Latin America; Mexico; Physicians; Post-exposure prophylaxis; Pre-exposure prophylaxis; Treatment as prevention; U=U slogan
Mesh:
Substances:
Year: 2022 PMID: 35459177 PMCID: PMC9027096 DOI: 10.1186/s12913-022-07900-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Socio-demographics and medical experience of HIV physicians from Brazil and Mexico, 2020
| Total | Brazil | Mexico | ||
|---|---|---|---|---|
| ( | ( | ( | ||
| 26–34 | 90 (18.7) | 73 (22.3) | 17 (12) | .01 |
| 35–49 | 229 (47.6) | 148 (45.3) | 81 (57) | |
| ≥ 50 | 162 (33.7) | 106 (32.4) | 44 (31) | |
| Median (IQR) | 43 (36–53) | 43 (35–54) | 44 (38–51) | .75b |
| .48 | ||||
| Male | 276 (57.4) | 198 (58.4) | 78 (54.9) | |
| Female | 205 (42.6) | 141 (41.6) | 64 (45.1) | |
| <.001c | ||||
| White | 303 (63.9) | 272 (81.2) | 31 (22.3) | |
| Mixed | 152 (32.1) | 51 (15.2) | 101 (72.7) | |
| Asian | 9 (1.9) | 9 (2.7) | 0 (0) | |
| Black | 4 (0.8) | 3 (0.9) | 1 (0.7) | |
| Indigenous | 6 (1.3) | 0 (0) | 6 (4.3) | |
| .23 | ||||
| Yes | 327 (68.0) | 236 (69.6) | 91 (64.1) | |
| No | 154 (32.0) | 103 (30.4) | 51 (35.9) | |
| <.001 | ||||
| Yes | 333 (69.4) | 268 (79.1) | 65 (46.1) | |
| No | 147 (30.6) | 71 (20.9) | 76 (53.9) | |
| .05 | ||||
| ≤ 5 | 38 (7.9) | 29 (8.6) | 9 (6.4) | |
| 6–10 | 81 (16.8) | 59 (17.4) | 22 (15.5) | |
| 11–15 | 82 (17.1) | 57 (16.8) | 25 (17.6) | |
| 16–20 | 78 (16.2) | 44 (13) | 34 (23.9) | |
| > 20 | 202 (42.0) | 150 (44.2) | 52 (36.6) | |
| <.001c | ||||
| None | 26 (5.5) | 26 (7.8) | 0 (0) | |
| 1–19 | 65 (13.8) | 56 (16.8) | 9 (6.5) | |
| 20–49 | 85 (18.0) | 82 (24.6) | 3 (2.2) | |
| ≥ 50 | 296 (62.7) | 170 (50.9) | 126 (91.3) | |
aChi-square test
bWilcoxon-Mann-Whitney test
cFisher’s exact test
dMD: Doctor of Medicine
Awareness of PrEP and other prevention strategies, and comfort with HIV/STI procedures among HIV physicians from Brazil and Mexico, 2020
| Total | Brazil | Mexico | ||
|---|---|---|---|---|
| ( | ( | ( | ||
| PEP | 419 (87.1) | 302 (89.1) | 117 (82.4) | .05 |
| Combination HIV prevention concept | 407 (84.6) | 294 (86.7) | 113 (79.6) | .05 |
| Condoms and lubricants | 407 (84.6) | 303 (89.4) | 104 (73.2) | <.001 |
| PrEP | 407 (84.6) | 291 (85.8) | 116 (81.7) | .25 |
| Regular HIV/STI testing | 393 (81.7) | 299 (88.2) | 94 (66.2) | <.001 |
| Mother to child transmission | 371 (77.1) | 286 (84.4) | 85 (59.9) | <.001 |
| Knowledge of partner serology | 356 (74) | 275 (81.1) | 81 (57) | <.001 |
| Treatment as prevention | 347 (72.1) | 280 (82.6) | 67 (47.2) | <.001 |
| Vaccination for HAVb, HBVc and HPVd | 335 (69.7) | 270 (79.6) | 65 (45.8) | <.001 |
| Cervical exams | 233 (48.4) | 185 (54.6) | 48 (33.8) | <.001 |
| Daily oral with TDF/FTCe | 444 (92.3) | 313 (92.3) | 131 (92.3) | .98 |
| Event-Driven PrEP with TDF/FTCe | 262 (54.5) | 212 (62.5) | 50 (35.2) | <.001 |
| Daily oral with TAF/FTCf | 246 (51.1) | 171 (50.4) | 75 (52.8) | .63 |
| Cabotegravir injection | 202 (42) | 180 (53.1) | 22 (15.5) | <.001 |
| Vaginal ring with antiretroviral | 156 (32.4) | 120 (35.4) | 36 (25.4) | .03 |
| Microbicides | 104 (21.6) | 82 (24.2) | 22 (15.5) | .03 |
| Implants with antiretroviral | 97 (20.2) | 81 (23.9) | 16 (11.3) | <.01 |
| Monoclonal antibodies | 61 (12.7) | 57 (16.8) | 4 (2.8) | <.001 |
| Request HIV exam | 477 (99.2) | 337 (99.4) | 140 (98.6) | .36 |
| Request STI exams | 473 (98.3) | 335 (98.8) | 138 (97.2) | .20 |
| Evaluation of sexual risk behavior | 458 (95.2) | 324 (95.6) | 134 (94.4) | .57 |
| Risk-reduction counseling | 458 (95.2) | 317 (93.5) | 141 (99.3) | <.01 |
| Discuss sexual behavior | 454 (94.4) | 320 (94.4) | 134 (94.4) | .99 |
| Discuss sexual orientation | 453 (94.2) | 317 (93.5) | 136 (95.8) | .33 |
| Provide HIV+ result | 441 (91.7) | 310 (91.5) | 131 (92.3) | .77 |
| Evaluation of PrEP eligibility | 432 (89.8) | 301 (88.8) | 131 (92.3) | .25 |
| U=Ug counseling | 387 (80.5) | 274 (80.8) | 113 (79.6) | .75 |
| Request HIV acute infection testh | 333 (69.2) | 333 (98.2) | – | N/Ai |
| Evaluation of PEP eligibilityh | 320 (66.5) | 320 (94.4) | – | N/A |
aChi-square tests for all comparisons, except for Monoclonal antibodies (Fisher’s exact test)
bHAV Hepatitis A virus
cHBV Hepatitis B virus
dHPV Human papilloma virus
eTDF/FTC Tenofovir disoproxil fumarate / emtricitabine
fTAF/FTC Tenofovir alafenamide / emtricitabine
gU=U Undetectable equals untransmittable
hThis question was not available in Mexico
iN/A Not applicable
Knowledge and attitudes regarding PrEP, PEP and U=U among HIV physicians from Brazil and Mexico, 2020
| Total | Brazil | Mexico | ||
|---|---|---|---|---|
| ( | ( | ( | ||
| Knowledge of national PrEP guidelines | 387 (81.1) | 281 (82.9) | 106 (76.8) | .12 |
| Willingness to prescribe PrEP | 357 (74.2) | 265 (78.2) | 92 (64.8) | <.01 |
| Ever referred a patient to receive PrEP | 271 (57.7) | 244 (72) | 27 (20.6) | <.001 |
| Ever trained in PrEP | 139 (29) | 93 (27.4) | 46 (32.6) | .25 |
| Ever prescribed PrEP | 209 (44.4) | 162 (49.1) | 47 (33.3) | <.01 |
| Site of PrEP prescribing | ||||
| Private office | 104 (49.8) | 73 (45.1) | 31 (66.0) | .01 |
| Demonstration studies | 33 (15.8) | 30 (18.5) | 3 (6.4) | .06 |
| Clinical trials | 18 (8.6) | 16 (9.9) | 2 (4.3) | .38 |
| SUS | 116 (24.1) | 116 (71.6) | – | N/Ad |
| Knowledge of national PEP guidelines | 418 (91.9) | 300 (95.9) | 118 (83.1) | <.001 |
| Ever prescribed PEP | 413 (85.9) | 314 (92.6) | 99 (69.7) | <.001 |
| Ever referred a patient to receive PEP | 359 (76.6) | 296 (87.3) | 63 (44.4) | <.001 |
| Ever trained in PEP | 209 (43.5) | 148 (43.7) | 61 (43) | .89 |
| Reasons for PEP prescription | ||||
| Occupational | 331 (80.1) | 288 (91.7) | 43 (43.4) | <.001 |
| Consensual sex | 278 (67.3) | 252 (80.3) | 26 (26.3) | <.001 |
| Sexual violence | 275 (66.6) | 231 (73.6) | 44 (44.4) | <.001 |
| Perceived U=U slogan as completely accurate | 339 (70.5) | 251 (74.0) | 88 (62.0) | <.001 |
| Ever trained in U=U | 219 (45.5) | 131 (38.6) | 88 (62.0) | <.001 |
aChi-square tests for all comparisons, except for Site of PrEP prescribing (Fisher’s exact test)
bSUS: Brazilian Unified Health System (in Portuguese)
cU=U Undetectable equals untransmittable
dN/A Not applicable
Fig. 1PrEP cascade experience (from awareness to prescription) differences between HIV physicians from Brazil and Mexico, 2020.aAdapted from Petroll AE, Walsh JL, Owczarzak JL, McAuliffe TL, et al. PrEP Awareness, Familiarity, Comfort, and Prescribing Experience among US Primary Care Providers and HIV Specialists. AIDS Behav 2017;21(5):1256–1267
Populations who would benefit from PrEP, Healthcare Services that should offer PrEP, and Reasons PrEP should not be offered according to HIV physicians from Brazil and Mexico, 2020
| Total | Brazil | Mexico | ||
|---|---|---|---|---|
| ( | ( | ( | ||
| Gay, bisexual, and other men who have sex with men (MSM) | 426 (88.6) | 305 (90) | 121 (85.2) | .13 |
| Sex workers | 422 (87.7) | 327 (96.5) | 95 (66.9) | <.001 |
| Transgender people | 388 (80.7) | 286 (84.4) | 102 (71.8) | .001 |
| Partners in a sero-discordant relationship | 363 (75.5) | 271 (79.9) | 92 (64.8) | <.001 |
| Injectable drug users | 291 (60.5) | 227 (67.0) | 64 (45.1) | <.001 |
| Young adults or adolescents | 228 (47.4) | 157 (46.3) | 71 (50) | .46 |
| Non-injectable drug users | 188 (36.1) | 150 (44.2) | 38 (26.8) | <.001 |
| HIV/STI clinics | 395 (82.1) | 270 (79.7) | 125 (88) | .03 |
| Specialized clinics | 341 (70.9) | 271 (79.9) | 70 (49.3) | <.001 |
| Family clinics | 191 (39.7) | 143 (42.2) | 48 (33.8) | .09 |
| Private clinics/hospitals | 178 (37) | 137 (40.4) | 41 (28.9) | .02 |
| Primary care | 172 (35.8) | 124 (36.6) | 48 (33.8) | .56 |
| “Behavioral interventions should be prioritized instead of PrEP” | 261 (54.3) | 148 (43.7) | 113 (79.6) | <.001 |
| “Public PrEP will reduce the budget for antiretroviral treatment” | 202 (42) | 120 (35.4) | 82 (57.8) | <.001 |
| “I think PrEP should not be provided by public services” | 49 (10.2) | 26 (7.7) | 23 (16.2) | <.01 |
| “Low number of PrEP users to maintain PrEP as public policy” | 43 (8.9) | 15 (4.4) | 28 (19.7) | <.001 |
aChi-square test
Perceived concerns and barriers to prescribe PrEP among HIV physicians from Brazil and Mexico, 2020
| Total | Brazil | Mexico | ||
|---|---|---|---|---|
| ( | ( | ( | ||
| Consistent access to PrEP medication | 379 (78.6) | 281 (82.9) | 98 (68.3) | <.001 |
| ARVb resistance in case of acute HIV infection or seroconversion | 362 (75.1) | 243 (71.7) | 119 (83.2) | <.01 |
| Risky behavior increasal | 361 (74.9) | 238 (70.2) | 123 (86) | <.001 |
| Users need to take a drug everyday | 361 (74.9) | 255 (75.2) | 106 (74.1) | .80 |
| Risk of ARV drug resistance | 326 (67.6) | 215 (63.4) | 111 (77.6) | <.01 |
| Severe adverse effects | 270 (56) | 179 (52.8) | 91 (63.6) | .03 |
| Mild adverse effects | 204 (42.3) | 131 (38.6) | 73 (51.1) | .01 |
| Limited availability of ARV for people living with HIV | 266 (55.2) | 177 (52.2) | 89 (62.2) | .04 |
| PrEP efficacy | 177 (36.7) | 112 (33) | 65 (45.5) | .01 |
| Users have low PrEP knowledge | 298 (62.0) | 198 (58.4) | 100 (70.4) | .01 |
| Users have limited capacity for PrEP adherence | 284 (59.0) | 188 (55.5) | 96 (67.6) | .01 |
| Lack of professionals to prescribe PrEP | 276 (57.4) | 210 (62.0) | 66 (46.5) | <.01 |
| Limited time to discuss PrEP | 171 (35.6) | 111 (32.7) | 60 (42.3) | .05 |
| I have no knowledge about PrEP | 165 (34.3) | 89 (26.3) | 76 (53.5) | <.001 |
| I do not know where to refer a potential PrEP userc | 81 (16.8) | 81 (23.9) | – | N/Ad |
aChi-square test
bAntiretroviral
cThis question was not asked in Mexico as PrEP is not current public policy
dN/A Not applicable