Journal of Peking University (Health Sciences) ›› 2023, Vol. 55 ›› Issue (3): 511-520. doi: 10.19723/j.issn.1671-167X.2023.03.018

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Discrepancy between behavioral-indicated and perceived candidacy for HIV pre-exposure prophylaxis among men who have sex with men in Chengdu, China

Hao LIN1,Jing-hua LI2,Xiao YANG2,Xiao-ting CHEN2,Yu-hui SHI1,Chun CHANG1,Yuan-tao HAO1,2,Wang-nan CAO1,*()   

  1. 1. Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
    2. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
  • Received:2023-02-28 Online:2023-06-18 Published:2023-06-12
  • Contact: Wang-nan CAO E-mail:wangnancao@bjmu.edu.cn
  • Supported by:
    National Natural Sciences Foundation of China(81803334);National Science and Technology Major Project(2018ZX10715004);Guangdong Basic and Applied Basic Research Foundation(2023A1515030093);Peking University Faculty Startup Research Grant(BMU2022RCZX032)

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Abstract:

Objective: To explore the discrepancy between behavioral-indicated candidacy and perceived candidacy (behavioral-perceived gap) and its associated factors of human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) among men who have sex with men (MSM), so as to identify the focus population of PrEP interventions and to design and implement targeted interventions. Methods: We recruited a sample of 622 HIV-negative MSM who were regular clients of a community-based organization located in Chengdu, China, from November to December 2021. A cross-sectional questionnaire was used to collect the participants' information on social demographics, PrEP-related knowledge and cognitions, and risk behaviors. In this study, behaviorally eligible for PrEP was defined as performing at least one type of high-risk behavior in the past six months, including inconsistent condom use, sex with an HIV-positive partner, confirmed sexual transmitted infections (STI) diagnosis, substance use, and post-exposure prophylaxis (PEP) experience. Logistic regression models were fitted, and multivariate analyses were adjusted for social demographics. Results: Among the 622 eligible participants, 52.6% (327/622) were classified as behaviorally eligible for PrEP. Only 37.9% (124/327) of the participants perceived themselves as appropriate candidates for PrEP and 62.1% (203/207) had discrepancy between behavioral-indicated and perceived candidacy. 85.9% (281/327) had heard of PrEP, and 14.2% (40/281) accessed PrEP information through health care providers. Of the 327 participants eligible for behavior-indicated PrEP use, about half (47.1%) knew how to obtain PrEP medication and 33.0% had a professional PrEP counseling experience. The majority (93.3%) had no or few friends using PrEP. 54.1% scored eight or above in PrEP knowledge level. 66.7% reported having two or more sexual partners in the past six months. After adjusting for age and recruitment channel, we found six factors that were associated with perceived candidacy for PrEP, including PEP use [adjusted odds ratio (ORA)=2.20; 95% confidence interval (CI): 1.33-3.63], PrEP availability (ORA=1.69; 95%CI: 1.06-2.68), a greater number of PrEP-using friends (ORA=4.92; 95%CI: 1.77-13.65), PrEP know-ledge (ORA=2.21; 95%CI: 1.38-3.56), multiple sexual partnership (ORA=1.77; 95%CI: 1.07-2.94), and perceiving a higher risk of HIV infection (ORA=4.02; 95%CI: 1.73-9.32). Substance use during sex and PrEP information channel were not statistically associated with this beha-vioral-perceived gap. Conclusion: We observed a high discrepancy between behavioral-indicated and perceived candidacy for PrEP among Chengdu MSM in China. Future PrEP implementation efforts should be made in skills training in assessing HIV infection risk, increasing PrEP knowledge, providing professional PrEP counselling, and fostering PrEP support environment.

Key words: Homosexuality, male, Sexual behavior, Pre-exposure prophylaxis, HIV infections, Cognitive dissonance, Risk perception

CLC Number: 

  • R167

Table 1

Socio-demographic characteristics among behavioral-indicated PrEP eligible participants"

Items Total (n=327) No behavioral-perceived gap (n=124) Behavioral-perceived gap (n=203)
Recruitment channel
  MSM activity venues 52 (15.9) 13 (10.5) 39 (19.2)
  MSM peer network 169 (51.7) 70 (56.5) 99 (48.8)
  MSM community organization 106 (32.4) 41 (33.1) 65 (32.0)
Age
  18-24 years 92 (28.1) 34 (27.4) 58 (28.6)
  25-35 years 165 (50.5) 69 (55.6) 96 (47.3)
  >35 years 70 (21.4) 21 (16.9) 49 (24.1)
Current relationship status
  Single 48 (14.7) 21 (16.9) 27 (13.3)
  Relationship with a man 246 (75.2) 88 (71.0) 158 (77.8)
  Married 33 (10.1) 15 (12.1) 18 (8.9)
Education level
  College degree and below 176 (53.8) 62 (50.0) 114 (56.2)
  Undergraduate and above 151 (46.2) 62 (50.0) 89 (43.8)
Employment status
  Unemployed/part-time/retired/student 107 (32.7) 38 (30.6) 69 (34.0)
  Full-time 220 (67.3) 86 (69.4) 134 (66.0)
Personal monthly income
  ≤4 000 yuan 111 (33.9) 42 (33.9) 69 (34.0)
  4 001-6 000 yuan 107 (32.7) 45 (36.3) 62 (30.5)
  6 001-8 000 yuan 109 (33.3) 37 (29.8) 72 (35.5)
Sexual orientation
  Homosexual 274 (83.8) 106 (85.5) 168 (82.8)
  Bisexual/heterosexual/other 53 (16.2) 18 (14.5) 35 (17.2)

Table 2

Characteristics related to PrEP and sexual behavior among behavioral-indicated PrEP eligible participants"

Items Total (n=327) No behavioral-perceived gap (n=124) Behavioral-perceived gap (n=203)
Any condomless anal intercourse
  No 151 (46.2) 61 (49.2) 90 (44.3)
  Yes 176 (53.8) 63 (50.8) 113 (55.7)
Have HIV-positive partner(s)
  No 298 (91.1) 115 (92.7) 183 (90.1)
  Yes 29 (8.9) 9 (7.3) 20 (9.9)
Ever STI diagnosis
  No 303 (92.7) 118 (95.2) 185 (91.1)
  Yes 24 (7.3) 6 (4.8) 18 (8.9)
Substance use
  No 206 (63.0) 70 (56.5) 136 (67.0)
  Yes 121 (37.0) 54 (43.5) 67 (33.0)
PEP user
  No 231 (70.6) 76 (61.3) 155 (76.4)
  Yes 96 (29.4) 48 (38.7) 48 (23.6)
PrEP awareness
  No 46 (14.1) 15 (12.1) 31 (15.3)
  Yes 281 (85.9) 109 (87.9) 172 (84.7)
Sources of PrEP information
  Others 241 (85.8) 104 (83.9) 183 (90.1)
  HCP 40 (14.2) 20 (16.1) 20 (9.9)
PrEP availability
  No 173 (52.9) 58 (46.8) 115 (56.7)
  Yes 154 (47.1) 66 (53.2) 88 (43.3)
PrEP counseling experience with HCP
  No 219 (67.0) 79 (63.7) 140 (69.0)
  Yes 108 (33.0) 45 (36.3) 63 (31.0)
Peers who are on PrEP
  Many 22 (6.7) 15 (12.1) 7 (3.4)
  Few 166 (50.8) 59 (47.6) 107 (52.7)
  None 139 (42.5) 50 (40.3) 89 (43.8)
PrEP knowledge scorea
  ≤7 155 (45.9) 41 (33.1) 109 (53.7)
  >7 177 (54.1) 83 (66.9) 94 (46.3)
Sexual roleb
  Insertive 104 (31.8) 33 (26.6) 71 (35.0)
  Receptive 100 (30.6) 42 (33.9) 58 (28.6)
  Both 107 (32.7) 44 (35.5) 63 (31.0)
  No anal sex 16 (4.9) 5 (4.0) 11 (5.4)
Multiple homosexual partnershipb
  No 109 (33.3) 33 (26.6) 76 (37.4)
  Yes 218 (66.7) 91 (73.4) 127 (62.6)
Engagement in group sexb
  No 189 (57.8) 82 (90.1) 107 (84.3)
  Yes 29 (8.9) 9 (9.9) 20 (15.7)
Engagement in transactional sexb
  No 288(88.1) 112 (90.3) 176 (86.7)
  Yes 39 (11.9) 12 (9.7) 27 (13.3)
HIV test historyb
  No 82 (25.1) 33 (26.6) 49 (24.1)
  Yes 245 (74.9) 91 (73.4) 154 (75.9)
Perceived risk of HIV infectionc
  High-risk 29 (8.9) 18 (14.5) 11 (5.4)
  Medium-risk 85 (26.0) 34 (27.4) 51 (25.1)
  Low-risk 213 (65.1) 72 (58.1) 141 (69.5)

Table 3

Background characteristics associated with perceived PrEP candidacy"

Items Row% ORu (95%CI)
Recruitment channel
  MSM activity venues 25.0 1.00
  MSM peer network 41.4 2.12 (1.06-4.27)*
  MSM community organization 38.7 1.89 (0.90-3.96)?
Age
  18-24 years 37.0 1.37 (0.70-2.66)
  25-35 years 41.8 1.68(0.92-3.05)?
  >35 years 30.0 1.00
Current relationship status
  Single 43.8 1.00
  Relationship with a man 35.8 0.72 (0.38-1.34)
  Married 45.5 1.07 (0.44-2.61)
Education level
  College degree and below 35.2 1.00
  Undergraduate and above 41.1 1.28 (0.82-2.01)
Employment status
  Unemployed/part-time/retired/student 35.5 1.00
  Full-time 39.1 1.17 (0.72-1.88)
Personal monthly income
  ≤4 000 yuan 37.8 1.00
  4 001-6 000 yuan 42.1 1.19 (0.69-2.05)
  6 001-8 000 yuan 33.9 0.84 (0.49-1.47)
Sexual orientation
  Homosexual 38.7 1.00
  Bisexual/heterosexual/other 34.0 0.82 (0.44-1.51)

Table 4

Univariate analysis on factors associated with perceived PrEP candidacy"

Items Row% ORu (95%CI) ORA (95%CI)a
Any condomless anal intercourse
  No 40.4 1 1
  Yes 35.8 0.82 (0.53-1.29) 0.87 (0.55-1.37)
Have HIV-positive partner(s)
  No 38.6 1 1
  Yes 31 0.72 (0.32-1.63) 0.79 (0.33-1.87)
Ever STI diagnosis
  No 38.9 1 1
  Yes 25 0.52 (0.20-1.35) 0.71 (0.26-1.93)
Substance use
  No 34 1 1
  Yes 44.6 1.57 (0.99-2.48) 1.42 (0.88-2.29)
PEP user
  No 32.9 1 1
  Yes 50 2.04 (1.26-3.31)** 2.20 (1.33-3.63)**
PrEP awareness
  No 32.6 1 1
  Yes 38.8 1.31 (0.68-2.54) 1.29 (9.66-2.51)
Sources of PrEP information
  Others 36.2 1 1
  HCP 50 1.76 (0.91-3.42) 1.60 (0.82-3.15)
PrEP availability
  No 33.5 1 1
  Yes 42.9 1.49 (0.95-2.33) 1.69 (1.06-2.68)*
PrEP counseling experience with HCP
  No 36.1 1 1
  Yes 41.7 1.27 (0.79-2.03) 1.43 (0.88-2.32)
Peers who are on PrEP
  None 36 1 1
  Few 35.5 0.98 (0.61-1.57) 1.05 (0.65-1.70)
  Many 68.2 3.81 (1.46-9.98)** 4.92 (1.77-13.65)**
PrEP knowledge score (total 9)
  ≤7 27.3 1 1
  >7 46.9 2.35 (1.48-3.74)*** 2.21 (1.38-3.56)**
Sexual roleb
  Insertive 31.7 1 1
  Receptive 42 1.56 (0.88-2.76) 1.58 (0.88-2.83)
  Both 41.1 1.50 (0.85-2.64) 1.45 (0.82-2.56)
  No anal sex 31.3 0.98 (0.31-3.04) 0.92 (0.29-2.92)
Multiple homosexual partnershipb
  No 30.3 1 1
  Yes 41.7 1.65 (1.01-2.69)* 1.77 (1.07-2.94)*
Engagement in group sexb
  No 43.4 1 1
  Yes 31 0.59 (0.25-1.36) 0.64 (0.27-1.51)
Engagement in transactional sexb
  No 38.9 1 1
  Yes 30.8 0.70 (0.34-1.44) 0.71 (0.34-1.51)
HIV test historyb
  No 40.2 1 1
  Yes 37.1 0.88 (0.53-1.46) 0.89 (0.53-1.49)
Perceived risk of HIV infectionc
  Low-risk 33.8 1.00 1.00
  Medium-risk 40.0 1.31 (0.78-2.19) 1.35 (0.79-2.29)
  High-risk 62.1 3.21 (1.44-7.15)** 4.02 (1.73-9.32)**
1 UNAIDS Data 2021[EB/OL]. [2023-02-20]. https://www.unaids.org/en.
2 Wang H , Zhang Y , Mei Z , et al. Protocol for a multicenter, real-world study of HIV pre-exposure prophylaxis among men who have sex with men in China (CROPrEP)[J]. BMC Infect Dis, 2019, 19 (1): 721.
doi: 10.1186/s12879-019-4355-y
3 Chou R , Evans C , Hoverman A , et al. Preexposure prophylaxis for the prevention of HIV infection: Evidence report and systematic review for the US preventive services task force[J]. JAMA, 2019, 321 (22): 2214- 2230.
doi: 10.1001/jama.2019.2591
4 Owens DK , Davidson KW , Krist AH , et al. Preexposure prophylaxis for the prevention of HIV infection: US preventive services task force recommendation statement[J]. JAMA, 2019, 321 (22): 2203- 2213.
doi: 10.1001/jama.2019.6390
5 WHO. Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV 2015[EB/OL]. [2023-02-20]. https://www.who.int/publications/i/item/9789241509565.
6 中华医学会感染病学分会艾滋病丙型肝炎学组, 中国疾病预防控制中心. 中国艾滋病诊疗指南(2021年版)[J]. 中国艾滋病性病, 2021, 27 (11): 1182- 1201.
7 徐俊杰, 黄晓婕, 刘昕超, 等. 中国HIV暴露前预防用药专家共识[J]. 中国艾滋病性病, 2020, 26 (11): 1265- 1271.
8 Buffel V , Reyniers T , Masquillier C , et al. Awareness of, willingness to take PrEP and its actual use among Belgian MSM at high risk of HIV infection: Secondary analysis of the Belgian European MSM internet survey[J]. AIDS Behav, 2022, 26 (6): 1793- 1807.
doi: 10.1007/s10461-021-03526-z
9 Dubin S , Goedel WC , Park SH , et al. Perceived candidacy for pre-exposure prophylaxis (PrEP) among men who have sex with men in Paris, France[J]. AIDS Behav, 2019, 23 (7): 1771- 1779.
doi: 10.1007/s10461-018-2279-y
10 Guan Y , Qi T , Liao Q , et al. Multi-dimensional mismatch and barriers for promoting PrEP among men who have sex with men in China: A cross sectional survey from the Demand-side[J]. AIDS Res Ther, 2023, 20 (1): 11.
doi: 10.1186/s12981-022-00497-6
11 Xie L , Wu Y , Meng S , et al. Risk behavior not associated with self-perception of PrEP candidacy: Implications for designing PrEP services[J]. AIDS Behav, 2019, 23 (10): 2784- 2794.
doi: 10.1007/s10461-019-02587-5
12 Parsons JT , Rendina HJ , Lassiter JM , et al. Uptake of HIV pre-exposure prophylaxis (PrEP) in a national cohort of gay and bisexual men in the United States[J]. J Acquir Immune Defic Syndr, 2017, 74 (3): 285- 292.
doi: 10.1097/QAI.0000000000001251
13 Zhabokritsky A , Nelson LE , Tharao W , et al. Barriers to HIV pre-exposure prophylaxis among African, Caribbean and Black men in Toronto, Canada[J]. PLoS One, 2019, 14 (3): e0213740.
doi: 10.1371/journal.pone.0213740
14 Kesler MA , Kaul R , Myers T , et al. Perceived HIV risk, actual sexual HIV risk and willingness to take pre-exposure prophylaxis among men who have sex with men in Toronto, Canada[J]. AIDS Care, 2016, 28 (11): 1378- 1385.
doi: 10.1080/09540121.2016.1178703
15 石安霞, DonO, 张志华, 等. 男男性行为人群HIV暴露前预防需求与使用障碍研究[J]. 中华流行病学杂志, 2020, 41 (3): 343- 348.
doi: 10.3760/cma.j.issn.0254-6450.2020.03.012
16 Ding Y , Yan H , Ning Z , et al. Low willingness and actual uptake of pre-exposure prophylaxis for HIV-1 prevention among men who have sex with men in Shanghai, China[J]. Biosci Trends, 2016, 10 (2): 113- 119.
doi: 10.5582/bst.2016.01035
17 Lockard A , Rosenberg ES , Sullivan PS , et al. Contrasting self-perceived need and guideline-based indication for HIV pre-exposure prophylaxis among young, black men who have sex with men offered pre-exposure prophylaxis in Atlanta, Georgia[J]. AIDS Patient Care STDS, 2019, 33 (3): 112- 119.
doi: 10.1089/apc.2018.0135
18 李志康, 朱洋, 杨潇, 等. 成都市男男性行为人群3种类型HIV暴露前预防用药使用意愿及影响因素分析[J]. 中华流行病学杂志, 2022, 43 (10): 1658- 1665.
19 Jones-webb R , Smolenski D , Brady S , et al. Drinking settings, alcohol consumption, and sexual risk behavior among gay men[J]. Addict Behav, 2013, 38 (3): 1824- 1830.
doi: 10.1016/j.addbeh.2012.11.011
20 Iott BE , Veinot TC , Loveluck J , et al. Comparative analysis of recruitment strategies in a study of men who have sex with men (MSM) in metropolitan detroit[J]. AIDS Behav, 2018, 22 (7): 2296- 2311.
doi: 10.1007/s10461-018-2071-z
21 Young LE , Schneider JA . The co-evolution of network structure and PrEP adoption among a large cohort of PrEP peer leaders: Implications for intervention evaluation and community capacity-building[J]. Int J Environ Res Public Health, 2021, 18 (11): 6051.
doi: 10.3390/ijerph18116051
22 Saberi P , Gamarel KE , Neilands TB , et al. Ambiguity, ambivalence, and apprehensions of taking HIV-1 pre-exposure prophyla-xis among male couples in San Francisco: A mixed methods study[J]. PLoS One, 2012, 7 (11): e50061.
doi: 10.1371/journal.pone.0050061
23 Mitchell JW , Lee JY , Woodyatt C , et al. HIV-negative male couples' attitudes about pre-exposure prophylaxis (PrEP) and using PrEP with a sexual agreement[J]. AIDS Care, 2016, 28 (8): 994- 999.
doi: 10.1080/09540121.2016.1168911
24 Gamarel KE , Golub SA . Intimacy motivations and pre-exposure prophylaxis (PrEP) adoption intentions among HIV-negative men who have sex with men (MSM) in romantic relationships[J]. Ann Behav Med, 2015, 49 (2): 177- 186.
doi: 10.1007/s12160-014-9646-3
25 Phillips G 2nd , Neray B , Birkett M , et al. Role of social and sexual network factors in PrEP utilization among YMSM and transgender women in Chicago[J]. Prev Sci, 2019, 20 (7): 1089- 1097.
doi: 10.1007/s11121-019-00995-6
26 Wang X , Hu X , Liu Z , et al. Associations between self-test and pre- or post-exposure prophylaxis of HIV among men who have sex with men in China[J]. Int J STD AIDS, 2022, 33 (9): 837- 846.
doi: 10.1177/09564624221108038
27 李玲玲, 江震, 宋炜路, 等. 应用德尔菲法构建男男性行为者个体HIV感染风险评估工具[J]. 中华流行病学杂志, 2017, 38 (10): 1426- 1430.
28 Yan H , Cao W , Mo P , et al. Prevalence and associated factors of HIV serostatus disclosure to regular female sex partners among HIV-positive men who have sex with both men and women in China[J]. AIDS Care, 2019, 31 (8): 1026- 1034.
doi: 10.1080/09540121.2019.1612002
29 Trost SL , Onwubiko UN , Wilson DB , et al. Health care-seeking behaviors and perceptions of provider-initiated discussion of pre-exposure prophylaxis among PrEP-naïve HIV-negative men who have sex with men in Atlanta, Georgia[J]. Open Forum Infect Dis, 2020, 7 (5): ofaa165.
doi: 10.1093/ofid/ofaa165
30 Lee-foon NK , Logie CH , Siddiqi A , et al. Exploring young Black gay, bisexual and other men who have sex with men's PrEP know-ledge in Toronto, Ontario, Canada[J]. Cult Health Sex, 2022, 24 (3): 301- 314.
doi: 10.1080/13691058.2020.1837958
31 Chan C , Fraser D , Grulich AE , et al. Increased awareness of event-driven PrEP and knowledge of how to use it: Results from a cross-sectional survey of gay and bisexual men in Australia[J]. Sex Health, 2022, 19 (6): 501- 508.
doi: 10.1071/SH22101
32 Jaramillo J , Pagkas-bather J , Waters K , et al. Perceptions of sexual risk, PrEP services, and peer navigation support among HIV-negative Latinx and black men who have sex with men (MSM) residing in western Washington[J]. Sex Res Social Policy, 2022, 19 (3): 1058- 1068.
doi: 10.1007/s13178-021-00595-6
33 Pichon LC , Teti M , Betts JE , et al. 'PrEP'ing Memphis: A qualitative process evaluation of peer navigation support[J]. Eval Program Plann, 2022, 90, 101989.
doi: 10.1016/j.evalprogplan.2021.101989
34 Valente TW . Network interventions[J]. Science, 2012, 337 (6090): 49- 53.
doi: 10.1126/science.1217330
35 Ghosh D , Krishnan A , Gibson B , et al. Social network strategies to address HIV prevention and treatment continuum of care among at-risk and HIV-infected substance users: A systematic scoping review[J]. AIDS Behav, 2017, 21 (4): 1183- 1207.
doi: 10.1007/s10461-016-1413-y
36 Marcus JL , Hurley LB , Dentoni-lasofsky D , et al. Barriers to preexposure prophylaxis use among individuals with recently acquired HIV infection in Northern California[J]. AIDS Care, 2019, 31 (5): 536- 544.
doi: 10.1080/09540121.2018.1533238
37 杨雪, 康文婷, 庞琳, 等. 国内外推广人类免疫缺陷病毒暴露前预防的主要障碍及其应对措施研究进展[J]. 中国病毒病杂志, 2022, 12 (1): 74- 80.
38 张福杰, 王辉. 艾滋病病毒暴露前预防社区组织指导手册[M]. 北京: 人民卫生出版社, 2021.
39 Hambrick HR , Park SH , Schneider JA , et al. Poppers and PrEP: Use of pre-exposure prophylaxis among men who have sex with men who use inhaled nitrites[J]. AIDS Behav, 2018, 22 (11): 3658- 3672.
40 Plankey MW , Ostrow DG , Stall R , et al. The relationship between methamphetamine and popper use and risk of HIV seroconversion in the multicenter AIDS cohort study[J]. J Acquir Immune Defic Syndr, 2007, 45 (1): 85- 92.
41 Ostrow DG , Plankey MW , Cox C , et al. Specific sex drug combinations contribute to the majority of recent HIV seroconversions among MSM in the MACS[J]. J Acquir Immune Defic Syndr, 2009, 51 (3): 349- 355.
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