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Analysis of obstetricians' decision making on CTG recordings

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F14%3A00077743" target="_blank" >RIV/00216224:14110/14:00077743 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/14:00220568 RIV/65269705:_____/14:00061811

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.jbi.2014.04.010" target="_blank" >http://dx.doi.org/10.1016/j.jbi.2014.04.010</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jbi.2014.04.010" target="_blank" >10.1016/j.jbi.2014.04.010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of obstetricians' decision making on CTG recordings

  • Original language description

    Interpretation of cardiotocogram (CTG) is a difficult task since its evaluation is complicated by a great inter- and intra-individual variability. Previous studies have predominantly analyzed clinicians? agreement on CTG evaluation based on quantitativemeasures (e.g. kappa coefficient) that do not offer any insight into clinical decision making. In this paper we aim to examine the agreement on evaluation in detail and provide data-driven analysis of clinical evaluation. For this study, nine obstetricians provided clinical evaluation of 634 CTG recordings (each ca. 60 min long). We studied the agreement on evaluation and its dependence on the increasing number of clinicians involved in the final decision. We showed that despite of large number of clinicians the agreement on CTG evaluations is difficult to reach. The main reason is inherent inter- and intra-observer variability of CTG evaluation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FK - Gynaecology and obstetrics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/NT11124" target="_blank" >NT11124: Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Biomedical Informatics

  • ISSN

    1532-0464

  • e-ISSN

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    16.4.2014

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    72-79

  • UT code for WoS article

    000343362800009

  • EID of the result in the Scopus database