Editor-in-Chief: Dudenhausen, Joachim W.
Editorial Board Member: / Bancalari, Eduardo / Milner, Anne / Genc, Mehmet R. / Chervenak, Frank A. / Chappelle, Joseph / Bergmann, Renate L. / Bernardes, J.F. / Bevilacqua, G. / Blickstein, Isaac / Cabero Roura, Luis / Carbonell-Estrany, Xavier / Carrera, Jose M. / D`Addario, Vincenzo / D'Alton, MD, Mary E. / Dimitrou, G. / Grunebaum, Amos / Hentschel, Roland / Köpcke, W. / Kawabata, Ichiro / Keirse, Marc J.N.C. / Kurjak M.D., Asim / Lee, Ben H. / Levene, Malcolm / Lockwood, Charles J. / Marsal, Karel / Makatsariya, Alexander / Nishida, Hiroshi / Papp, Zoltán / Pejaver, Ranjan Kumar / Pooh, Ritsuko K. / Romero, Roberto / Saugstad, Ola D. / Schenker, Joseph G. / Sen, Cihat / Seri, Istvan / Vetter, Klaus / Winn, Hung N. / Young, Bruce K. / Zimmermann, Roland
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Objective: To evaluate the inter- and intra-observer agreement of visual analysis of fetal heart rate tracing and to evaluate the bias introduced by knowledge of perinatal outcome in this interpretation.
Methods: One hundred tracings were independently analyzed by four observers. In a second study period, two observers re-analysed the 100 tracings in order to evaluate intra-observer agreement. The other two observers re-analyzed the tracings, which were labelled with fictitious perinatal outcome to evaluate the impact of this information on reliability. Agreement was analyzed by means of the proportion of agreement for qualitative parameters and the inter- and intra-class correlation coefficient for quantitative data.
Results: Poor agreement was found for quantitative variability, low variability category and number of decelerations. Moderate agreement was observed for baseline, normal variability category and number of accelerations. Fetal heart rate variability and number of accelerations and decelerations were found to be significantly influenced by clinical information of perinatal outcome. Biased observers showed lower reliability than unbiased ones.
Conclusion: Visual assessment of fetal heart rate tracings is unreliable due to low rates of agreement between and within observers. Only qualitative classification such as normal baseline and normal variability showed good agreement. Knowledge of clinical information introduces subjectivity to the visual analysis, leading to a negative impact on reliability.
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