The benefits of providing benefit information in a patient information leaflet

Objective: To examine the effects of providing two different types of written information about medicine benefits in a patient information leaflet (PIL). Setting: Participants were 358 adult volunteers from the general population recruited from a London railway station and central Reading. Method: The study used a controlled empirical methodology in which people were given a hypothetical, but realistic, scenario about visiting their doctor and being prescribed medication. They then read an information leaflet about the medicine that contained neither, one, or both benefit statements, and finally completed a number of Likert rating scales. Outcome measures included perceived satisfaction and helpfulness of the information, effectiveness and appropriateness of the medicine, benefit and risk to health, and intention to comply. Key findings: Both types of benefit information led to significantly higher ratings on all of the measures taken. Conclusions: Provision of a relatively short ‘benefit’ statement can significantly improve people’s judgements and intention to take a medicine. The findings are important and timely as the European Union is currently considering reviewing their regulations to allow for the inclusion of limited non-promotional benefit information in PILs.

Analysis of the dominant enterprise information assurance mechanisms

The purpose of this study is to analyse current data continuity mechanisms employed by the target group of businesses and to identify any inadequacies in the mechanisms as a whole. The questionnaire responses indicate that 47% of respondents do perceive backup methodologies as important, with a total of 70% of respondents having some backup methodology already in place. Businesses in Moulton Park perceive the loss of data to have a significant effect upon their business’ ability to function. Only 14% of respondents indicated that loss of data on computer systems would not affect their business at all, with 54% of respondents indicating that there would be either a “major effect” (or greater) on their ability to operate. Respondents that have experienced data loss were more likely to have backup methodologies in place (53%) than respondents that had not experienced data loss (18%). Although the number of respondents clearly affected the quality and conclusiveness of the results returned, the level of backup methodologies in place appears to be proportional to the company size. Further investigation is recommended into the subject in order to validate the information gleaned from the small number of respondents.

An examination of the complementary volume–volatility information theories

The volume–volatility relationship during the dissemination stages of information flow is examined by analyzing various theories relating volume and volatility as complementary rather than competing models. The mixture of distributions hypothesis, sequential arrival of information hypothesis, the dispersion of beliefs hypothesis, and the noise trader hypothesis all add to the understanding of how volume and volatility interact for different types of futures traders. An integrated picture of the volume–volatility relationship is provided by investigating the dynamic linear and nonlinear associations between volatility and the volume of informed (institutional) and uninformed (the general public) traders. In particular, the trading behavior explanation for the persistence of futures volatility, the effect of the timing of private information arrival, and the response of institutional traders to excess noise trading risk is examined