TY - JOUR
T1 - Prädiktoren der Inanspruchnahme von kardiovaskulären und respiratorischen Notfallaufnahmen – welchen Einfluss hat die Umwelt?
AU - Krefis, Anne Caroline
AU - Fischereit, Jana
AU - Hoffmann, Peter
AU - Sorbe, Christina
AU - Pinnschmidt, Hans
AU - Augustin, Matthias
AU - Augustin, Jobst
PY - 2019
Y1 - 2019
N2 - Aim
There has been an increasing number of emergency department (ED) visits recently. It is unclear whether, in addition to a shift in services from the outpatient to the inpatient sector, other causes, (e. g. environmental factors), play a role. The aim was to investigate associations between the number of cardiovascular and respiratory ED visits and environmental variables.
Methods
Highly correlated environmental data were subjected to a principal component analysis. By using cross-correlation functions, environmental variables with time lags that showed the highest correlation with the number of ED visits were taken into consideration in the UNIANOVA analysis model, together with, among others, the day of the week and interaction terms.
Results
The final regression model explained 47% of the variation in respiratory ED visits demonstrating main effects for Mondays (B=10.69; p<0.001). Season showed significant effects with highest ED visits in autumn. No direct associations between environmental variables and number of respiratory ED visits were found. The results for the cardiovascular outcome were less expressive (R2=0.20). Again, the day of the week had the main effect on cardiovascular ED visits (p<0.001).
Conclusions
The results suggest that weekdays had the main effect on ED visits. In future, we will collect and analyze environmental data at the micro level to achieve a higher model quality and better interpretability.
AB - Aim
There has been an increasing number of emergency department (ED) visits recently. It is unclear whether, in addition to a shift in services from the outpatient to the inpatient sector, other causes, (e. g. environmental factors), play a role. The aim was to investigate associations between the number of cardiovascular and respiratory ED visits and environmental variables.
Methods
Highly correlated environmental data were subjected to a principal component analysis. By using cross-correlation functions, environmental variables with time lags that showed the highest correlation with the number of ED visits were taken into consideration in the UNIANOVA analysis model, together with, among others, the day of the week and interaction terms.
Results
The final regression model explained 47% of the variation in respiratory ED visits demonstrating main effects for Mondays (B=10.69; p<0.001). Season showed significant effects with highest ED visits in autumn. No direct associations between environmental variables and number of respiratory ED visits were found. The results for the cardiovascular outcome were less expressive (R2=0.20). Again, the day of the week had the main effect on cardiovascular ED visits (p<0.001).
Conclusions
The results suggest that weekdays had the main effect on ED visits. In future, we will collect and analyze environmental data at the micro level to achieve a higher model quality and better interpretability.
KW - Temporal analyses
KW - Respiratory and cardiovascular emergency department visits
KW - Temporal risk factors
KW - Environmental risk factors
KW - Categorical principal components analysis
U2 - 10.1055/a-1005-7161
DO - 10.1055/a-1005-7161
M3 - Tidsskriftartikel
C2 - 31614385
SN - 0941-3790
JO - Das Gesundheitswesen
JF - Das Gesundheitswesen
ER -