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Indeterminacy of the Diagnosis of Sudden Infant Death Syndrome Leading to Problems with the Validity of Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15260%2F22%3A73613124" target="_blank" >RIV/61989592:15260/22:73613124 - isvavai.cz</a>

  • Alternative codes found

    RIV/00159816:_____/22:00076291 RIV/61989592:15310/22:73613124 RIV/00843989:_____/22:E0109645 RIV/00216224:14110/22:00128172 RIV/61988987:17110/22:A2302GB0

  • Result on the web

    <a href="https://doi.org/10.3390/diagnostics12071512" target="_blank" >https://doi.org/10.3390/diagnostics12071512</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/diagnostics12071512" target="_blank" >10.3390/diagnostics12071512</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Indeterminacy of the Diagnosis of Sudden Infant Death Syndrome Leading to Problems with the Validity of Data

  • Original language description

    The validity of infant mortality data is essential in assessing health care quality and in the setting of preventive measures. This study explores different diagnostic procedures used to determine the cause of death across forensic settings and thus the issue of the reduced validity of data. All records from three forensic medical departments that conducted autopsies on children aged 12 months or younger (n = 204) who died during the years 2007–2016 in Moravia were included. Differences in diagnostic procedures were found to be statistically significant. Each department works with a different set of risk factors and places different emphasis on different types of examination. The most significant differences could be observed in sudden infant death syndrome and suffocation diagnosis frequency. The validity of statistical data on the causes of infant mortality is thus significantly reduced. Therefore, the possibilities of public health and social policy interventions toward preventing sudden and unexpected infant death are extraordinarily complicated by this lack of data validity.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

    <a href="/en/project/GA19-17474S" target="_blank" >GA19-17474S: Bayesian Reasoning as a Tool for Efficient Expert Testimonies in Civil Proceedings</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Diagnostics

  • ISSN

    2075-4418

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    000831710400001

  • EID of the result in the Scopus database

    2-s2.0-85132986045