Factors related to the use of Pre-exposure prophylaxis (PrEP) among men who have sex with men in Thailand

Main Article Content

Pannapat Lawantrakul

Abstract

Abstract


Background and Rationale :


   HIV is one of the most serious public health challenges in Thailand. Among new HIV infections, men who have sex with men (MSM) are the majority which presented over 50%. Primary causes include anatomical factors, social factors and high risk behavioral factors which lead to exposure of  high risk at the young age. PrEP is a new approach to preclude HIV infection which proven effective.


Objectives :


   To study the factors related to the decision making on the use of PrEP among Thai MSM 19-49 years old


Methods :


   Analytical cross-sectional study was conducted via an online survey. Sociodemographics, high risk behaviors, perceived risk of HIV infection, and perceived benefits of PrEP were analyzed in association with the use of PrEP.


Results :


   Of 171 participants, 31.6% decided to use PrEP


   Perceived benefits of PrEP levels were associated with the use PrEP.[odds ratio (OR) : 10.24 p<0.05, 95% confidence interval (95%CI): 1.78-58.75. OR: 6.70 p=0.027 95%CI: 1.24-36.13; for agree, strongly agree perceived benefits, respectively]


   Not having any of STDs symptoms was also associated with PrEP denial. [odds ratio (OR) : 0.27 p=0.01 95% CI = 0.09-0.77;]


   Approximately 90% of those who reported previous high risk behaviors.


Conclusions: Perceived benefits of PrEP associated with the PrEP users. Not having STDs symptoms also plays an important role in PrEP decision making. Therefore, it is crucial to encourage men who have sex with men who haven’t had STDs symptoms about PrEP benefits and stay alert on HIV prevention.

Article Details

How to Cite
1.
Lawantrakul P. Factors related to the use of Pre-exposure prophylaxis (PrEP) among men who have sex with men in Thailand. PCFM [internet]. 2020 Sep. 19 [cited 2025 Dec. 19];3(1):46-5. available from: https://so03.tci-thaijo.org/index.php/PCFM/article/view/231397
Section
Original article

References

1. UNAIDS. Global HIV & AIDS statistics -- 2018 fact sheet. Available at : http://www.unaids.org/en/resources/fact-sheet/. Accessed Jan 13, 2019
2. สำนักโรคเอดส์ วัณโรค และโรคิดต่อทางเพศสัมพันธ์ กรมควบคุมโรค. (2561). แนวทางการจัดบริการยาป้องกันก่อนการสัมผัสเชื้อเอชไอวี ในประชากรที่มีพฤติกรรมเสี่ยงต่อการติดเชื้อเอชไอวี ประเทศไทย ปี 2561. สำนักพิมพ์อักษรกราฟฟิคแอนด์ดีไซน์: สำนักพิมพ์อักษรกราฟฟิคแอนด์ดีไซน์.
3. สำนักโรคเอดส์ วัณโรค และโรคติดต่อทางเพศสัมพันธ์ กรมควบคุมโรค. (2560). แนวทางการตรวจรักษาและป้องกันการติดเชื้อเอชไอวีประเทศไทยปี 2560. โรงพิมพ์ชุมนุมสหกรณ์การเกษตรแห่งประเทศไทยจำกัด:
4. Suraratdecha C, Stuart RM, Manopaiboon C, Green D, Lertpiriyasuwat C, Wilson DP, et al. Cost and cost-effectiveness analysis of pre-exposure prophylaxis among men who have sex with men in two hospitals in Thailand. Journal of the International AIDS Society. 2018.
5. AVAC,A snapshot of PrEP scale-up, registration and resources for Thailand. Available at : https://www.prepwatch.org/country/thailand/. Accessed Jan 13, 2019
6. CDC, HIV in the United States. Available at : https://www.cdc.gov/hiv/statistics/overview/ataglance.html/. Accessed Jan 13,2019
7. Wheelock A, Eisingerich AB, Ananworanich J, Gomez GB, Hallett TB, Dybul MR, et al. Are Thai MSM Willing to Take PrEP for HIV Prevention? An Analysis of Attitudes, Preferences and Acceptance. Vermund SH, editor. PLoS ONE. 2013.
8. Plotzker R, Seekaew P, Jantarapakde J, Pengnonyang S, Trachunthong D, Linjongrat D, et al. Importance of Risk Perception: Predictors of PrEP Acceptance Among Thai MSM and TG Women at a Community-Based Health Service. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2017;76:473–81.
9. Terry-Smith JB. Factors Influencing Use of Pre-Exposure Prophylaxis Among Men Who Have Sex With Men. :90.
10. Arnold T, Brinkley-Rubinstein L, Chan PA, Perez-Brumer A, Bologna ES, Beauchamps L, et al. Social, structural, behavioral and clinical factors influencing retention in Pre-Exposure Prophylaxis (PrEP) care in Mississippi. Caylà JA, editor. PLOS ONE. 2017.
11. Chard AN, Metheny N, Stephenson R. Perceptions of HIV Seriousness, Risk, and Threat Among Online Samples of HIV-Negative Men Who Have Sex With Men in Seven Countries. JMIR Public Health and Surveillance. 2017.
12. Conner M, Mcmillan B. The Health Belief Model. In Christensen AJ, Martin R, Morrison Smyth J, editors.(2004) Encyclopedia of Health Psychology. Kluwer Academic/Plenum Publishers. 126-128
13. Long, J.S. 1997. Regression Models for Categorical and Limited. Dependent Variables. Thousand Oaks, CA: SAGE Publications, Inc. Page 53-54.
14. Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data anclysis. 5th ed. New Jersy: Prentice Hall; 1998.
15. จรณิต แก้วกังวาล, คู่มือนักวิจัยมือใหม่ การประยุกต์ใช้ระบาดวิทยาและชีวสถิติในการวิจัยชีวเวชศาสตร์.กรุงเทพมหานคร: หจก. จี.เอส.เอ็ม. เทรดดิ้ง จำกัด.;2562