Analysis of Health in Children and Adolescents


The life stage of children and adolescents is a comparatively healthy one and is characterized through the therein included developmental tasks and steps of socialization. New data show a shift in the morbidity in children and adolescents, pointing at an increase in chronic and psychosocial/psychosomatic diseases. This change is often circumscribed by the term “new morbidity”. Same as in the health of adults, children’s and adolescent’s health varies severely in regard to the social status, sex and migrant background (RKI 2008, 2010).


The project aims at the study of two disease groups, each represented by two ICD-10-chapters for the age-cohort 0-16 years. Thereby the two main starting points are on one hand the ICD-categories of neurological/motoric/psychiatric developmental disorders (ICD-10 F+G) and on the other hand accidents (ICD-10 S-T).

A survey based on accounting of the epidemiology in Austria and the recording of the chronological development of hospital cases inside the timeframe is the primary deliverable. Through the analysis of data, an additional potential analysis is going to be made, in order to link them to the GAP-DRG data. There is also an interest in the analysis of the potential in the coupling of care allowance and premature identification.


First the population in consideration, the timeframe and further conditions are defined, based on works about GEPOC and in the field of general medicine. Subsequently (I) an analysis of the epidemiology of the case numbers of the years 2001-2011 is going to be made, based on the MBDS data. In doing this we will also go into questions of age, sex and regionality, while preparing the data graphically for decision makers. (II) is the extension of the issue on the care of individuals inside the timeframe that is to be processed with the GAP-DRG data, placed on the research server of Dexhelpp. In addition to the hospitalizations, also diseases are identified through ATC-ICD matching while young patients are tracked in their accounting history. Finally, (III) the individual medical services during the hospitalizations are identified according to federal state and diagnosis.