Knowledge, Attitudes and Practices Regarding Pre-Exposure Prophylaxis (PrEP) in a Sample of Italian Men Who Have SEX with MEN (MSM).
Gianluca VoglinoMaria Rosaria GualanoStefano RoussetPietro ForghieriIsabella FraireFabrizio BertRoberta SiliquiniPublished in: International journal of environmental research and public health (2021)
Pre-exposure prophylaxis (PrEP) is suitable for high human immunodeficiency virus (HIV)-infection risk people, foremost among whom are males who have sex with other males (MSM). This study evaluated knowledge, attitudes and practices regarding PrEP in a sample of Italian MSM, in order to hypothesize strategies to implement PrEP awareness and use. No previous study has assessed this issue; Methods: An online survey was given to an opportunistic sample of Italian MSM. The questionnaire investigated sexual behaviour and habits, HIV/acquired immune deficiency syndrome (AIDS) knowledge and PrEP awareness, attitudes and practices. Univariable and multivariable logistic regressions were conducted to identify factors associated with PrEP knowledge; Results: A total of 196 MSM participated in this survey. Overall data showed that 87.2% of participants knew what PrEP is, but only 7.5% have ever used it. The main reason for not using PrEP was the cost of the therapy (26.9%). The principal source of PrEP information was the Internet (68.4%). Being regularly tested for HIV was significantly associated with PrEP knowledge (adjusted odds ratio (AdjOR) = 3.16; confidence interval (CI) = 1.06-9.29); Conclusions: Knowledge regarding PrEP was well established, but PrEP use was not equally widespread. It is necessary to improve research on PrEP usage in order to PrEP access to be granted.
Keyphrases
- men who have sex with men
- hiv testing
- hiv positive
- healthcare
- human immunodeficiency virus
- primary care
- stem cells
- hiv infected
- mesenchymal stem cells
- mental health
- hiv aids
- health information
- high resolution
- cross sectional
- cell therapy
- smoking cessation
- electronic health record
- deep learning
- data analysis
- psychometric properties
- high speed