Assessing two methods for estimating excess mortality of chronic diseases from aggregated data

Assessing two methods for estimating excess mortality of chronic diseases from aggregated data

To assess the numerical properties of two recently published estimation techniques for excess mortality based on aggregated data about diabetes in Germany. Application of the new methods to the claims data yields implausible findings for the excess mortality of type 2 diabetes in ages below 50 years...

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Veröffentlicht in:BMC research notes 2020-04, Vol.13 (1), p.216-216, Article 216
Hauptverfasser: Brinks, Ralph, Tönnies, Thaddäus, Hoyer, Annika
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Adolescent
Adult
Age
Aged
Aged, 80 and over
Chronic Disease - mortality
Chronic disease epidemiology
Chronic diseases
Chronic illnesses
Dementia
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - epidemiology
Disease
Epidemiologic Methods
Estimates
Female
Humans
Incidence
Male
Middle Aged
Mortality
Multi-state model
Population
Prevalence
Prevalence studies (Epidemiology)
Regression analysis
Research Note
Simulation
Statistics
Young Adult
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Beschreibung
Zusammenfassung:To assess the numerical properties of two recently published estimation techniques for excess mortality based on aggregated data about diabetes in Germany. Application of the new methods to the claims data yields implausible findings for the excess mortality of type 2 diabetes in ages below 50 years of age.
ISSN:1756-0500
1756-0500
DOI:10.1186/s13104-020-05046-w