Development of a Standard Questionnaire on Accidents in Daily Life to Supplement the Hospital Registry - Standard Questionnaire. European Project. Final Report

The project “Development of a Standard Survey on Accidents in Daily Life to Complement Hospital Data,” abbreviated as “Standard Survey,” was part of the European Union’s health policy aimed at improving information on injury prevention. It had the following objectives: - to review the cross-sectional surveys used by three Member States (Spain, Luxembourg, and Germany) as part of their participation in the ISS (Injury Surveillance System) - to examine the cross-sectional survey methodologies used by other teams in the same field or in related fields. - list the advantages and disadvantages of the two types of data collection providing data for the ISS system: continuous hospital data collection and cross-sectional surveys, taking into account that continuous hospital data collection is considered the primary method of data collection. - propose harmonization of the methods, variables, and questionnaires used in cross-sectional surveys, so that their results are sufficiently consistent to allow comparisons with the results provided by hospital-based data collection. The establishment of a common core of questions and classifications would thus enable Member States to have a benchmark cross-sectional survey in the field of accidents in daily life (AcVC), and allow the European Union to obtain results that are comparable across countries. It would also be possible for a country to use the results of cross-sectional surveys conducted in a manner complementary to those of the continuous hospital database [...] (R.A.)

Author(s): Thelot B, Perez M, Szego E, Bauer R, Sector M, Bantuelle M, Leveque A, Dessypris N, Petridou E, Nunes B

Publishing year: 2005

Pages: 127 p.

In relation to

Our latest news

news

Alcohol Meter: A Review After 6 Years of Use by the French to Assess Their...

news

Extreme heat affects us all: let's adopt the right habits

news

G7 Summit in Evian: Enhanced Health Monitoring