European Men-Who-Have-Sex-With-Men Web Survey (EMIS): Design and Techniques


ESTICOM (European studies and Training to boost MSM Community wellness) had been a project that is 3-year because of the European Commission wellness Programme by way of a tender commissioned by the people, Health, Agriculture and Food Executive Agency (Chafea). ESTICOM aimed to bolster community reactions towards the appropriate, governmental and social hurdles to your avoidance of STIs among MSM, including HIV and viral hepatitis.

The next European MSM Web Survey (EMIS) ended up being made to consolidate progress produced in multi-country studies, also to donate to ESTICOM. It absolutely was a multi-language, pan-European, collaborative HIV prevention requires evaluation, including measures of morbidity, behaviours, unmet prevention requirements and intervention performance. After on from EMIS (Weatherburn et al.) it served due to the fact 2nd revolution of the pan-European, behavioural surveillance system focussed on national samples, encompassing prevention requirements also morbidities and behaviours. EMIS was initially undertaken simply ahead of the emergence of online venues, such as for instance smartphone-based geo-spatial apps, as a common method for men to get brand brand new male intercourse lovers. This enhance in online partner looking for might be assumed become particularly salient for areas without founded homosexual communities and/or guys without strong connections to those communities (particularly males with no homosexual or identity that is bisexual some migrants). These changing habits of intimate partner seeking make online behavioural surveillance of MSM a lot more appropriate, and surveys that are online more effective.

Practices and Design

A Collaborative Survey

We conceived the task as being a large-scale partnership, the EMIS system. Our development procedure ensured we’d a lead that is national the advertising and/or a national lead for information analysis in pretty much all the nations contained in the survey. Each step regarding the procedure of this design procedure involved aided by the EMIS system and received on its knowledge that is collective and requirements.

In addition to producing information from MSM, EMIS also meant to move knowledge about internet surveys to the research collaborators; to construct research capability; to build datasets in nations with less research resources; to facilitate discussion between community, scholastic and health that is public; and also to increase the academic effect of survey conclusion for participants.

Populace of Concern

Our populace of concern ended up being set by the tender papers from Chafea, which specified the study should always be for ‘men-who-have-sex-with-men’. We operationalised this, first, as adults whom identify as males, including both cismen and transmen. Adult we took to end up being the age of which men can consent to sex legally along with other men within their nation of residence, which diverse by country.

Transwomen as friends are disproportionately impacted by HIV and therefore are a crucial target team for avoidance. Transwomen require dedicated, funded and targeted HIV avoidance solutions in addition to research to build up those solutions. ladies (both cis and trans) are not area of the populace of concern for EMIS and are not designed to be therefore. Should they was in fact, we’d are suffering from the study differently, earnestly engaged transwomen’s organisations and developed an unbiased recruitment strategy.

Participants were told “In this study, we utilize ‘sex’ to suggest real contact to orgasm (or near to orgasm) for just one or both partners”. We utilized a good reaction to this meaning to recognize males whom ever endured intercourse with another guy. While the survey information is to be utilized for potential preparation (this is certainly, it really is focused on the wants of men that will have sexual intercourse as time goes by), guys who supplied an adverse reaction but who will be intimately drawn to males had been contained in the test.

Because the survey was online only, there clearly was no geographical limitation to the nations we’re able to get worried with. While the study had been made to have an academic in addition to data creating function – wider participation had been a positive thing provided that data and outputs might be handled accordingly. Having said that, every extra nation (and particularly language) increased the amount of engagement, administration and data managing needed.

Drivers for addition of nations and therefore the languages the study ended up being available in were diverse. Finally, there have been 46 target nations (33 core and 13 non-core). The task had been funded by the EU Health Programme which include: the 28 EU member states; two European Free Trade region (EFTA) nations that aren’t member that is EU (Iceland and Norway); two EU enhancement Area nations (Serbia and Bosnia & Herzegovina); and another European Neighbourhood Policy country (Moldova). These 33 ‘core’ nations had been mandated by the tender and our core financing included questionnaire interpretation and advertising during these nations.

In addition, we’d relationships that are existing, or had been contacted by stakeholders in many different countries whom desired addition, many of who have been tangled up in EMIS. Non-core partners supplied translations and spent resources in recruitment because of their nations or had been supported by other nations to take action. About this foundation we included another 13 ‘non-core’ countries: Switzerland ( the only EFTA that is large country within the Health Programme); Albania, Kosovo, Footnote 1 Montenegro, North Macedonia, and Turkey (all EU Enlargement Area countries); Belarus, Lebanon, Israel and Ukraine (all European Neighbourhood Policy nations); and Russia, Canada plus the Philippines. In addition, we invited involvement by males staying in the four (non-EU) microstates adjoining or encompassed by target nations. Although we failed to expect you’ll recruit over 100 males during these microstates, we would not wish to reject them the chance to take part. We include microstate instances into the neighbouring datasets that are national Andorra with Spain; Liechtenstein with Switzerland; Monaco with France; and San Marino with Italy.