In an online randomised multi-factorial survey (vignette study) participants are randomised to assess four scenario's. Between subject testing advise is randomised (IV1; 2 levels) and the availability of LFT (IV2; 2 levels). Within subject we asked participants to assess their most likely behaviour on day 1 of symptoms and day 3 of unchanged symptoms (IV3; 2 levels). Corona-related symptoms are randomly presented (IV4; 4 levels) and new incidences of symptoms are presented in additional vignettes describing new months (IV5; 4 levels).~Subjects are asked to immerse themselves in the scenario's before answering what their most likely behaviour would be: a) go to a test facility b) use a LFT c) wait and see or 4) no test. Participants who didn't choose the test facility on day 1 were presented with the same vignette on day 3 with unchanged symptoms, and were asked their most likely behaviour again.~After assessing the scenario's, participants fill in a questionnaire assessing demographics, behavioural determinants related to test behaviour, vaccine status, current symptoms and previous experience with Corona and testing.~The primary outcomes is defined as the average strategy sensitivity over time and therefore the chance of detecting a Covid-infection. Average strategy sensitivity is calculated by converting the choice of testing behaviour into the corresponding sensitivity score (PCR =1, LFT day 1 = .8, LFT day 3 = .7, wait and see and no test = 0), averaged over four scenario's.~Our primary hypothesis is:~Adjusting the governmental testing advice will lead to a higher strategy sensitivity.~In follow-up analysis we will explore the following hypothesis:~Availability of LFT at home will lead to a higher strategy sensitivity.~The type of corona related symptoms (mild or severe) are predictive of the type of test used.~When confronted with a new incidence of corona-related symptoms over time, strategy sensitivity will decline.
Lateral Flow Testing (LFT) use for COVID-19 related symptoms continues to rise, despite governmental advice to test at a test facility. In this study we investigate whether 1) adjusting the governmental testing advice will lead to a collective increase of people who test with COVID-19 symptoms and if this leads to a higher strategy sensitivity.