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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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