Methoden zur Analyse räumlicher Daten

Wolf, Sandra; Kis, Anne; Augustin, Jobst

doi:10.1007/s00105-021-04914-1

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Likelihood ratio statistics are used to identify the most likely clusters and assign a p-value. It is possible to scan for both high and low risk clusters [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

et al. 2022

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Psoriasis is a chronic disease with high impact on patients’ health and their quality of life. Psoriasis often occurs along with other comorbidities, but it is not yet clear what role the comorbidities play in regional psoriasis prevalence. This study investigates the temporal and regional variation of the psoriasis comorbidities diabetes mellitus type II, obesity, hypertension, affective disorders in Germany and their association with psoriasis prevalence. This analysis based on the population set of ambulatory claims data (2010–2017) of the statutory health insurance (SHI) in Germany (approx. 70.3 million people in 2017). Psoriasis comorbidities rates were determined on county level. We performed descriptive spatiotemporal analyses of psoriasis comorbidity prevalence rates. In addition, we identified and compared spatial clusters and examined regional variations using spatial statistical methods. The results show strong regional variations (northeast to south gradient) and an increasing psoriasis prevalence (max. 28.8%) within the observation period. Considering the comorbidities, results indicate comparable spatial prevalence patterns for diabetes mellitus type II, obesity and hypertension. This means that the highest prevalence of comorbidities tends to be found where the psoriasis prevalence is highest. The spatiotemporal cluster analyses could once again confirm the results. An exception to this is to be found in the case of affective disorders with different spatial patterns. The results of the studies show the first spatiotemporal association between psoriasis prevalence and comorbidities in Germany. The causalities must be investigated in more detail in order to be able to derive measures for improved care.

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“…Likelihood ratio statistics are used to identify the most likely clusters and assign a p-value. It is possible to scan for both high and low risk clusters [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

et al. 2022

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Evaluation of skin cancer screening in Germany – Spatiotemporal associations between skin cancer screening and skin cancer mortality based on ambulatory claims data

Wolf,

Augustin,

Hagenström

et al. 2023

J Deutsche Derma Gesell

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SummaryBackgroundThere are regional differences in skin cancer screening uptake in Germany. So far, it is unclear whether a high uptake of screening services leads to a reduction in mortality. This article presents study results on the investigation of spatiotemporal associations between skin cancer screening and mortality. The methods used are discussed regarding their suitability.Material and methodsThe basis is ambulatory claims data on the utilization of early skin cancer detection as well as data on skin cancer mortality from the cause‐of‐death statistics of the years 2011–2015 at county level in Germany. In addition to a descriptive evaluation, spatiotemporal cluster analyses and regression models were used to investigate the relationship between the uptake of early detection and mortality. In addition to age, adjustments were also made for other selected socio‐economic and socio‐graphical variables.ResultsThe descriptive results show striking spatial patterns of skin cancer screening and mortality. Cluster analyses identified regions with significantly higher and lower cases of early detection and skin cancer mortality. The spatiotemporal regression analyses show no clear association. Only early detection by a dermatologist, adjusted for age, shows an association with mortality.ConclusionsNo clear association between early skin cancer detection and mortality can be derived from the results. However, the study design used with a spatiotemporal cluster and regression analysis has shown that these methods allow in‐depth statements about the relationship between early skin cancer detection and mortality.

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Evaluation der Hautkrebsfrüherkennung in Deutschland – Raumzeitliche Assoziationen zwischen Hautkrebsfrüherkennung und Hautkrebsmortalität auf Grundlage ambulanter Abrechnungsdaten

Wolf,

Augustin,

Hagenström

et al. 2023

J Deutsche Derma Gesell

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ZusammenfassungHintergrundEs bestehen regionale Unterschiede in der Hautkrebsfrüherkennungsinanspruchnahme in Deutschland. Bislang ist ungeklärt, ob eine hohe Inanspruchnahme von Früherkennungsleistungen zu einer Senkung der Mortalität führt. Dieser Beitrag präsentiert Studienergebnisse zur Untersuchung raumzeitlicher Assoziationen von Hautkrebsfrüherkennung und Mortalität. Die angewendeten Methoden werden hinsichtlich ihrer Eignung diskutiert.Material und MethodikGrundlage sind ambulante Abrechnungsdaten zur Inanspruchnahme von Hautkrebsfrüherkennung sowie Daten zur Hautkrebsmortalität aus der Todesursachenstatistik der Jahre 2011–2015 auf Ebene der Kreise und kreisfreien Städte in Deutschland. Neben einer deskriptiven Auswertung wurden raumzeitliche Clusteranalysen und Regressionsmodelle angewendet, um den Zusammenhang zwischen der Inanspruchnahme von Früherkennung und Mortalität zu untersuchen. Dabei wurde neben Alter auch nach weiteren ausgewählten sozioökonomischen und ‐grafischen Variablen adjustiert.ErgebnisseDie deskriptiven Ergebnisse zeigen markante räumliche Muster der Hautkrebsfrüherkennung und Mortalität. Mittels Clusteranalysen konnten Regionen mit signifikant höheren und niedrigeren Fällen an Früherkennung und Hautkrebsmortalität identifiziert werden. Die raumzeitlichen Regressionsanalysen zeigen keine eindeutige Assoziation. Lediglich die Früherkennung beim Dermatologen, adjustiert nach Alter, zeigt eine Assoziation mit Mortalität.DiskussionAus den Ergebnissen lässt sich kein eindeutiger Zusammenhang zwischen Hautkrebsfrüherkennung und ‐mortalität ableiten. Das verwendete Studiendesign mit einer raumzeitlichen Cluster‐ und Regressionsanalyse hat jedoch gezeigt, dass diese Methoden vertiefte Aussagen über den Zusammenhang von Hautkrebsfrüherkennung und ‐mortalität ermöglichen.

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Methoden zur Analyse räumlicher Daten

Cited by 3 publications

References 10 publications

Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

Evaluation of skin cancer screening in Germany – Spatiotemporal associations between skin cancer screening and skin cancer mortality based on ambulatory claims data

Evaluation der Hautkrebsfrüherkennung in Deutschland – Raumzeitliche Assoziationen zwischen Hautkrebsfrüherkennung und Hautkrebsmortalität auf Grundlage ambulanter Abrechnungsdaten

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