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    Modeling chronic diseases: the diabetes module. Justification of (new) input data

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    Authors
    Baan CA
    Bos G
    Jacobs-van der Bruggen MAM
    Baan CA
    Bos G
    Jacobs-van der Bruggen MAM
    Series/Report no.
    RIVM rapport 260801001
    Type
    Report
    Language
    en
    
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    Title
    Modeling chronic diseases: the diabetes module. Justification of (new) input data
    Translated Title
    Modelleren van chronische ziekten: de diabetes module. Verantwoording van (nieuwe) invoer
    Publiekssamenvatting
    Om effecten van verschillende preventieve maatregelen voor diabetes te kunnen berekenen, is het RIVM Chronische Ziekten Model geactualiseerd en aangepast. Het Chronische Ziekten Model is een instrument om effecten van veranderingen in het voorkomen van risicofactoren, bijvoorbeeld overgewicht en roken, voor chronische ziekten (o.a. hart- en vaatziekten) te schatten op ziektelast en sterfte. Dit rapport geeft de verantwoording van de nieuwe diabetesmodule in dit model. Met deze diabetesmodule kunnen zowel primaire preventiestrategieen als maatregelen in de zorg (=betere behandeling van diabetes en cardiovasculaire risicofactoren) worden doorgerekend en het effect op de volksgezondheid worden geschat. Dit geeft beleidsmakers en zorgverleners inzicht in hoeveel gezondheidswinst er te behalen zou zijn door preventie en het kan ondersteunen bij het prioriteren van verschillende preventiestrategieen. Alle diabetes-gerelateerde informatie in het Chronische Ziekten Model is geactualiseerd. Roken is toegevoegd als risicofactor voor diabetes. HbA1c (een maat voor het bloedglucose niveau) is toegevoegd als risicofactor voor cardiovasculaire complicaties. Nieuwe modelgegevens bij patienten met diabetes zijn het voorkomen van cardiovasculaire complicaties, het voorkomen van cardiovasculaire risicofactoren (HbA1c, hoge bloeddruk, roken, cholesterol en overgewicht) en de relaties tussen deze risicofactoren en het ontstaan van cardiovasculaire complicaties.

    The RIVM chronic disease model (CDM) is an instrument designed to estimate the effects of changes in the prevalence of risk factors for chronic diseases on disease burden and mortality. To enable the computation of the effects of various diabetes prevention scenarios, the CDM has been updated and adapted. The present report presents a justification of the new diabetes module and the data used. The diabetes module allows the computation of both primary prevention scenarios and care scenarios (i.e. treatment of diabetes and cardiovascular risk factors) and the assessment of the effect on public health. The outcome provides policy makers and health professionals with insight into the potential prevention-associated health gain and may aid them in prioritising prevention scenarios. All diabetes-related information in the CDM has been updated. Smoking has been added as a risk factor for diabetes. HbA1c (a measure of blood glucose level) has been added as a risk factor for cardiovascular complications. New model data regarding patients with diabetes include the prevalence of cardiovascular complications, the prevalence of cardiovascular risk factors (HbA1c, high blood pressure, smoking, cholesterol and overweight) and the relationships between these risk factors and the development of cardiovascular complications. The literature shows that in trials focusing on the prevention of diabetes, the diabetes incidence drops by 60%. Trials focusing on improved treatment of diabetes patients show that the incidence of cardiovascular diseases falls by 25-50%, depending on the type of treatment and research setting.
    Publisher
    Rijksinstituut voor Volksgezondheid en Milieu RIVM
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