Barriers to uptake of pre-exposure prophylaxis among respondents to the Flash! PrEP in Europe survey A Bernier*, RM Delabre, V Schlegel, A Vilotitch, S.

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Presentation transcript:

Barriers to uptake of pre-exposure prophylaxis among respondents to the Flash! PrEP in Europe survey A Bernier*, RM Delabre, V Schlegel, A Vilotitch, S Duken, R Stranz, D Rojas Castro, K Jonas *No conflicts of interest to declare

Outline PrEP: European context Methodology Characteristics of respondents PrEP cascade Barriers Conclusion

PrEP: European context Studies have shown that PrEP is effective in preventing HIV infection among various at-risk groups 2015: WHO extended recommendation of PrEP to all populations most exposed to HIV infection 2016: the European Medicines Agency authorized Truvada® to be used as PrEP in Europe France was the only European country to provide and reimburse Truvada® for PrEP

Flash! PrEP in Europe Objective: to better understand knowledge, interest to take and current use of PrEP in Europe Community-based research approach: partnership with 17 NGOs throughout Europe and 2 universities Survey available online (June-July 2016); promotion and advertising on dating apps/websites, social media, partner webpages, distribution of cards and flyers during partner outreach activities Directed at a larger population than men who have sex with men

15,880 respondents from all over Europe * 70% German men 247 transgender respondents: 145 male-to-female 102 female-to-male * Romanian data excluded from this point forward due to translation issues

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Respondents with gender information (N=15,424) Other Men (N=4,201) German Men (N=10,288) Women (N=690) Transgender People (N=245) Age (median[IQR]) 36 [28; 45] 37 [29; 46] 30 [24; 38] 28 [22; 35] Perception of financial situation Difficult 507 (12%) 579 (6%) 110 (16%) 62 (25%) OK 2422 (58%) 4370 (43%) 450 (65%) 141 (58%) Good 1272 (30%) 5339 (52%) 130 (19%) 42 (17%) Education (N=13,113) Lower than bachelor 492 (14%) 2948 (33%) 75 (12%) 41 (22%) Bachelor or higher 2980 (86%) 5899 (67%) 530 (88%) 148 (78%) Main sex partner (Yes) (N=12,269) 1714 (49%) 4253 (53%) 427 (81%) 77 (50%) Sex with men last 6 months (Yes) (N=12,278) 3365 (96%) 7893 (97%) 486 (92%) 131 (85%) PrEP knowledge (Yes) (N=15,424) 3226 (77%) 3779 (37%) 326 (47%) 136 (56%) PrEP interest (N=14,869) No (N=4,058) 927 (24%) 2665 (26%) 388 (57%) 78 (33%) Maybe (N=4,097) 852 (22%) 3021(30%) 171 (25%) 53 (23%) Yes (N=6,714) 2092 (54%) 4395 (44%) 125 (18%) 102 (44%)

Barriers to PrEP uptake: where are the gaps? Among the 461 PrEP users, 49% have/had taken PrEP in the context of a PrEP study (98% men) France, UK, the Netherlands PrEP use outside of a PrEP study: Germany, UK 10% (men only) have taken PrEP for over 1 year 55% 73% 19% 8%

Barriers among respondents potentially interested in taking PrEP (N=10,833) Individual barriers Structural barriers Pay for PrEP (up to 19%) Regular medical check-ups (up to 34%) Side effects (up to 55%) Medication every day (up to 27%) Go to the hospital to have access to PrEP (up to 49%) Percentage of respondents among 4 groups: German Men, Other European Men, Women, Transgender

Barriers among respondents NOT interested in taking PrEP and at high objective risk (N=347) Pay for PrEP (up to 46%) Medication every day (up to 79%) Side effects (up to 82%) Individual barriers Structural barriers Getting other STIs (up to 73%) No need to change how I protect myself (up to 76%) Regular medical check-ups (up to 51%) Percentage of respondents among 2 groups: German Men and Other European Men* *Women and transgender were not included in this analysis because of low numbers

Conclusions Community-based research project to identify people needs PrEP knowledge among at-risk respondents surprisingly low; quite high interest in PrEP among this group but low uptake Identified gaps in the cascade: information and access (Potential) barriers: side effects, need to go the hospital, regular medical check-ups, risk perception Whether officially available or not, at-risk populations are interested in taking PrEP and are doing everything they can to get it

#ask4 From research to advocacy… Listen to people needs regarding PrEP Scaling up access to PrEP to all exposed populations in all European countries Make PrEP officially available Inside and outside hospitals Develop training programs for all healthcare providers Involve community-based organisations in PrEP provision Improve PrEP information and communication In terms of quantity AND quality Coming from various sources (institutions, CBOs, medical providers…)

Thank You for your attention Special thank you to the 15 880 survey respondents!