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1.
J Community Genet ; 9(4): 387-396, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30218347

ABSTRACT

Congenital anomaly registries have two main surveillance aims: firstly to define baseline epidemiology of important congenital anomalies to facilitate programme, policy and resource planning, and secondly to identify clusters of cases and any other epidemiological changes that could give early warning of environmental or infectious hazards. However, setting up a sustainable registry and surveillance system is resource-intensive requiring national infrastructure for recording all cases and diagnostic facilities to identify those malformations that that are not externally visible. Consequently, not all countries have yet established robust surveillance systems. For these countries, methods are needed to generate estimates of prevalence of these disorders which can act as a starting point for assessing disease burden and service implications. Here, we describe how registry data from high-income settings can be used for generating reference rates that can be used as provisional estimates for countries with little or no observational data on non-syndromic congenital malformations.

2.
J Public Health (Oxf) ; 36(2): 243-50, 2014 Jun.
Article in English | MEDLINE | ID: mdl-23667249

ABSTRACT

BACKGROUND: In 2010 the World Health Assembly called for action to improve the care and prevention of congenital disorders, noting that technical guidance would be required for this task, especially in low- and middle-income countries. Responding to this call, we have developed a freely available web-accessible Toolkit for assessing health needs for congenital disorders. METHODS: Materials for the Toolkit website (http://toolkit.phgfoundation.org) were prepared by an iterative process of writing, discussion and modification by the project team, with advice from external experts. A customized database was developed using epidemiological, demographic, socio-economic and health-services data from a range of validated sources. Document-processing and data integration software combines data from the database with a template to generate topic- and country-specific Calculator documents for quantitative analysis. RESULTS: The Toolkit guides users through selection of topics (including both clinical conditions and relevant health services), assembly and evaluation of qualitative and quantitative information, assessment of the potential effects of selected interventions, and planning and prioritization of actions to reduce the risk or prevalence of congenital disorders. CONCLUSIONS: The Toolkit enables users without epidemiological or public health expertise to undertake health needs assessment as a prerequisite for strategic planning in relation to congenital disorders in their country or region.


Subject(s)
Congenital Abnormalities/epidemiology , Congenital Abnormalities/prevention & control , Global Health , Health Services Needs and Demand , Needs Assessment/standards , Public Health Practice , Congenital Abnormalities/diagnosis , Developing Countries , Humans , Infant, Newborn , Information Services , Internet , Prevalence
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