Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.

Background: People share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in digital spaces to discuss insomnia and insomnia treatments.

Objective: The aim of this study is to summarize and chart trends of insomnia treatment terms on a digital insomnia message board.

What makes patients tick? Vaccine preferences against tick-borne encephalitis in four European countries.

Background: We explored vaccine motivation and preferences for tick-borne encephalitis (TBE) vaccine attributes among participants in TBE-endemic countries in Europe.

Methods: An online survey was conducted among the general public in Austria, Germany, Switzerland, and Sweden. Participants were ≥ 18 years old, open to receiving vaccines, and living in, or regularly traveling to, TBE-endemic regions in the aforementioned countries.

Understanding the journey towards rabies vaccination for travellers: Results of a cross-sectional survey with patients and providers in the US, Germany, Sweden, and Switzerland.

Background: Although cases of rabies in international travellers are uncommon, they are a fatal risk which can be alleviated through vaccination prior to travel. As international travel recovers post-COVID, it is vital that travellers are made aware of the risk of rabies when travelling to endemic countries and supported to receive the vaccine when eligible.

Methods: Online surveys were conducted in the US, Germany, Sweden and Switzerland between November 2022-January 2023 with both patients and healthcare providers (HCPs).

The development of an implicit measure of treatment expectations.

In three preregistered studies, we investigated whether implicit treatment expectations, using a relational implicit measure (the MT-PEP), vary between participants provided opposing information about novel medical treatments (Studies 1 and 2) or who responded based on normative beliefs toward common over-the-counter drugs (Study 3). The studies revealed large Cohen's d effect sizes of both novel and well-known treatment information within the implicit measure. The studies also provide evidence of convergent validity, with MT-PEP scores associated with explicit beliefs about medicine and over-the-counter drug familiarity.