Abstract
Congenital disorders are an important cause of pregnancy loss, premature death and life-long disability. A range of interventions can greatly reduce their burden, but the absence of local epidemiological data on their prevalence and the impact of interventions impede policy and service development in many countries. In an attempt to overcome these deficiencies, we have developed a tool—The Modell Global Database of Congenital Disorders (MGDb) that combines general biological principles and available observational data with demographic data, to generate estimates of the birth prevalence and effects of interventions on mortality and disability due to congenital disorders. MGDb aims to support policy development by generating country, regional and global epidemiological estimates. Here we provide an overview of the concepts and methodological approach used to develop MGDb.
Highlights
Congenital disorders, often called birth defects, include Bany potential pathological conditions arising before birth, whether they are evident at birth or become manifest later in life^ (World Health Organization 1985a; World Health Organization 2000; World Health Organization 2010)
The occurrence and severity of specific congenital disorders are differentially influenced by these risk factors, with some disorders influenced more by genes and others by environmental agents
We describe the scope of Modell Global Database of Congenital Disorders (MGDb) and the general principles followed in its implementation; more detailed methodology can be found in other articles within this journal supplement and in the UCL repository (Modell et al 2016)
Summary
Congenital disorders, often called birth defects, include Bany potential pathological conditions arising before birth, whether they are evident at birth or become manifest later in life^ (World Health Organization 1985a; World Health Organization 2000; World Health Organization 2010). The occurrence and severity of specific congenital disorders are differentially influenced by these risk factors, with some disorders influenced more by genes (e.g. single gene disorders) and others by environmental agents (e.g. those caused by infections) They are an important cause of premature death or life-long disability; the. To make up for this deficiency, the Modell Global Database of Congenital Disorders (MGDb) was created to meet the information needs of health policy-makers. It does so through the generation of country, regional and global estimates for selected congenital disorders, by combining general biological principles and available observational data with demographic data. We describe the scope of MGDb and the general principles followed in its implementation; more detailed methodology can be found in other articles within this journal supplement and in the UCL repository (Modell et al 2016)
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