Traduction en anglais : Investigation of clusters of adverse reproductive outcomes : Theoretical and practical aspects.
Several reports of clusters of adverse reproductive outcomes have lead us to prepare guidelines for their investigation.
Firstly, scientific objectives must be met (identifying pathological causes while using sound methodology).
In addition, the public health objectives of informing the population and taking control measures when required must be satisfied.
Finally, economic constraints require the obtention of a maximum of information to make the best decision, using a minimum of resources.
Experts must be involved early in the investigation.
The study protocol should remain flexible to take into account the particularities of each cluster and the character of each investigation.
A stepwise approach is to be used and the decision to continue or to stop after each step is to be made according to explicit preestablished criteria.
We argue that the use of qualitative methods for case studies is to be recommended instead of classic epidemiological approaches.
Statistical methods for detecting spaciotemporal clustering are not very useful during the preliminary phase of investigation but they may be usefull when a specific etiological hypothesis has to be tested or when a follow-up is done, assuming a regression of frequency to the mean.
There are several methods for monitoring time series in a follow-up study.
A simple method consisting in observation of a « fixed window » is proposed.
It has the advantages of being conceptually simple and easy to use. (...)
Mots-clés Pascal : Gestation pathologie, Appareil génital femelle pathologie, Appareil génital mâle pathologie, Foetus pathologie, Nouveau né pathologie, Reproduction pathologie, Homme, Analyse amas, Epidémiologie, Méthode statistique, Méthodologie, Recommandation, Québec, Canada, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Pregnancy disorders, Female genital diseases, Male genital diseases, Fetal diseases, Newborn diseases, Reproduction diseases, Human, Cluster analysis, Epidemiology, Statistical method, Methodology, Recommendation, Quebec, Canada, North America, America
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0058707
Code Inist : 002B30A01A1. Création : 21/05/1997.