tetano
Editor, Senior Moderator
Gesundheitswesen. 2019 Aug 23. doi: 10.1055/a-0921-7374. [Epub ahead of print]
[h=1][Geographic Clusters of Underimmunization Against Influenza in the Elderly: Westphalia-Lippe as an Example].[/h] [Article in German; Abstract available in German from the publisher]
V?lker S[SUP]1[/SUP].
[h=3]Author information[/h] 1 Kassen?rztliche Vereinigung Westfalen-Lippe, Unternehmensentwicklung, Dortmund.
[h=3]Abstract[/h] in English, German
[h=4]BACKGROUND:[/h] Underimmunization against influenza has been increasing in recent years. A spatial clustering of underimmunization is suspected. These clusters can pose risks to health care and make achieving immunization quality standards difficult. The objectives of this paper are to (a) identify and describe PLZ-level spatial clusters with high levels of underimmunization against influenza, (b) compare the clusters with other preventive services, and (c) model possible factors influencing underimmunization.
[h=4]MATERIAL AND METHODS:[/h] From the routine data of the Association of Statutory Health Insurance physicians Westphalia-Lippe, patients ≥ 60 years and vaccinations between 2012-2017 were extracted. As a methodology, the spatial scan statistics were chosen, which show high relative risks of underimmunization in clusters.
[h=4]RESULTS AND DISCUSSION:[/h] Four statistically significant clusters of underimmunization against influenza were identified, which proved to be stable even after adjustment with the temporal trend of local underimmunization rates. In the flu season 2016/2017, the underimmunization rate in the higher risk clusters (RR>1) was 71.9-74.7% and the rate outside these clusters was 67.0%. As influencing factors on underimmunization, socio-economic factors and vaccination behavior in the preseason were identified. Underimmunization rates are geographically clustered. The spatial scan statistics can be used for the identification of persistent clusters in order to carry out targeted spatial and addressee-specific measures to reduce underimmunization rates.
? Georg Thieme Verlag KG Stuttgart ? New York.
PMID: 31443110 DOI: 10.1055/a-0921-7374
[h=1][Geographic Clusters of Underimmunization Against Influenza in the Elderly: Westphalia-Lippe as an Example].[/h] [Article in German; Abstract available in German from the publisher]
V?lker S[SUP]1[/SUP].
[h=3]Author information[/h] 1 Kassen?rztliche Vereinigung Westfalen-Lippe, Unternehmensentwicklung, Dortmund.
[h=3]Abstract[/h] in English, German
[h=4]BACKGROUND:[/h] Underimmunization against influenza has been increasing in recent years. A spatial clustering of underimmunization is suspected. These clusters can pose risks to health care and make achieving immunization quality standards difficult. The objectives of this paper are to (a) identify and describe PLZ-level spatial clusters with high levels of underimmunization against influenza, (b) compare the clusters with other preventive services, and (c) model possible factors influencing underimmunization.
[h=4]MATERIAL AND METHODS:[/h] From the routine data of the Association of Statutory Health Insurance physicians Westphalia-Lippe, patients ≥ 60 years and vaccinations between 2012-2017 were extracted. As a methodology, the spatial scan statistics were chosen, which show high relative risks of underimmunization in clusters.
[h=4]RESULTS AND DISCUSSION:[/h] Four statistically significant clusters of underimmunization against influenza were identified, which proved to be stable even after adjustment with the temporal trend of local underimmunization rates. In the flu season 2016/2017, the underimmunization rate in the higher risk clusters (RR>1) was 71.9-74.7% and the rate outside these clusters was 67.0%. As influencing factors on underimmunization, socio-economic factors and vaccination behavior in the preseason were identified. Underimmunization rates are geographically clustered. The spatial scan statistics can be used for the identification of persistent clusters in order to carry out targeted spatial and addressee-specific measures to reduce underimmunization rates.
? Georg Thieme Verlag KG Stuttgart ? New York.
PMID: 31443110 DOI: 10.1055/a-0921-7374