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  • Title: [Perinatal health and medical administrative data: What uses, which stakeholders, what the issues for birth data? - Special REDSIAM].
    Author: Serfaty A, Baron S, Crenn-Hebert C, Barry Y, Tala S.
    Journal: Rev Epidemiol Sante Publique; 2017 Oct; 65 Suppl 4():S209-S219. PubMed ID: 28847678.
    Abstract:
    BACKGROUND: The uses of medical administrative data (MAD/BDMA) emerged in perinatal health following the work on regionalization of very pre-term birth. They have become more numerous since the late 2000s. The objective of this article is to take stock of the existing work carried out within the REDSIAM-perinatality group, on MAD/BDMA and their uses for the period of "birth". METHODS: The studied MADs are the Hospital Discharge Data (PMSI) and the French national health database (SNIIRAM). The material includes knowledge shared by the members of the REDSIAM-perinatality group, scientific references and gray literature. RESULTS: Our exploratory study shows that the uses of MAD in perinatal health are diversified at the local, regional and national levels. The works and publications, increasing, take the form of public access of processed data. Collective thinking makes it possible to move from a localized use to an institution, a network or several, to a national use and an inscription in public authorities' responses. In 2015/2016, two institutional sites provide access to data on maternal and child health: Data.Drees and ATIH ScanSanté. MAD/BDMA uses are multiple: epidemiological use (count of births by gestational age, weight in particular; perinatal indicators), quality of care, planning (maternity activities, regionalization of care). There is an increasing interest among stakeholders, producers and/or operators of MAD/BDMA (decision-makers, professionals or researchers). CONCLUSION: The BDMA, including the PMSI and the SNIIRAM, are used and relevant in Perinatal health with the rise of health networks, the territorialisation of health, in an increased demand for quality of care. Their use will increase the reliability of the data collected and an inscription in the validation studies, more and more numerous in the field of BDMA. The algorithms need to be more finely compiled, validated and enhanced.
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