{"title":"Interobserver agreement in CTG classification and clinical decision during labour: a comparison between STAN2007 and STAN2022 classifications","authors":"Delphine Duchanois , Lola Loussert , Anais Provendier , Carole Brouet , Maeva Chavin , Louise Paret , Paul Guerby , Virginie Ehlinger , Christophe Vayssière","doi":"10.1016/j.jogoh.2024.102874","DOIUrl":null,"url":null,"abstract":"<div><div>ST analysis during labour requires the classification of CTG traces in order to help clinical decisions. The usual STAN classification is based on the FIGO 1987 classification, modified in 2007. New STAN guidelines adapted to physiology-based interpretation have been proposed in 2022. This study compares the interobserver agreement of CTG classification and clinical decisions making, and the ease of use following the 2022 and 2007 STAN guidelines.</div></div><div><h3>Material and Methods</h3><div>Thirty CTG traces from STAN monitors were selected from a local French database and analysed (CTG classification, clinical decision making) by six observers with different levels of experience in two sessions three months apart. Observers followed the STAN2007 and the STAN2022 guidelines in the first and in the second sessions respectively. Weighted kappa (primary outcome), proportion of complete agreement within the 6 observers, and percent agreement (secondary outcomes) were estimated. At the end of the second session observers rated their satisfaction, ease of use and which guidelines they preferred.</div></div><div><h3>Results</h3><div>The interobserver agreement for CTG classification were comparable when following STAN2007 and STAN2022 guidelines (weighted kappa 0.57 versus 0.58, <em>P</em> = 0.91, moderate agreement), but a higher proportion of complete agreement within the 6 observers and a higher percent agreement were obtained when following STAN2022 compared to STAN2007 guidelines (complete agreement 50 % versus 20 % respectively, <em>P</em> = 0.01; percentage of agreement 72 % vs 55 %, <em>P</em> = 0.006). Interobserver agreement for clinical decisions did not differ when following STAN2007 or STAN2022 guidelines. Satisfaction scores were higher with STAN2022 guidelines, but not significantly (<em>P</em> = 0.052). All 6 observers stated that they preferred to use the STAN2022 guidelines.</div></div><div><h3>Conclusion</h3><div>Interobserver agreement is comparable between STAN2022 and STAN2007 for CTG classification in labour and clinical decision making. However, complete agreement and percent agreement are in favour of STAN 2022 for CTG classification.</div></div>","PeriodicalId":15871,"journal":{"name":"Journal of gynecology obstetrics and human reproduction","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of gynecology obstetrics and human reproduction","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468784724001533","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
ST analysis during labour requires the classification of CTG traces in order to help clinical decisions. The usual STAN classification is based on the FIGO 1987 classification, modified in 2007. New STAN guidelines adapted to physiology-based interpretation have been proposed in 2022. This study compares the interobserver agreement of CTG classification and clinical decisions making, and the ease of use following the 2022 and 2007 STAN guidelines.
Material and Methods
Thirty CTG traces from STAN monitors were selected from a local French database and analysed (CTG classification, clinical decision making) by six observers with different levels of experience in two sessions three months apart. Observers followed the STAN2007 and the STAN2022 guidelines in the first and in the second sessions respectively. Weighted kappa (primary outcome), proportion of complete agreement within the 6 observers, and percent agreement (secondary outcomes) were estimated. At the end of the second session observers rated their satisfaction, ease of use and which guidelines they preferred.
Results
The interobserver agreement for CTG classification were comparable when following STAN2007 and STAN2022 guidelines (weighted kappa 0.57 versus 0.58, P = 0.91, moderate agreement), but a higher proportion of complete agreement within the 6 observers and a higher percent agreement were obtained when following STAN2022 compared to STAN2007 guidelines (complete agreement 50 % versus 20 % respectively, P = 0.01; percentage of agreement 72 % vs 55 %, P = 0.006). Interobserver agreement for clinical decisions did not differ when following STAN2007 or STAN2022 guidelines. Satisfaction scores were higher with STAN2022 guidelines, but not significantly (P = 0.052). All 6 observers stated that they preferred to use the STAN2022 guidelines.
Conclusion
Interobserver agreement is comparable between STAN2022 and STAN2007 for CTG classification in labour and clinical decision making. However, complete agreement and percent agreement are in favour of STAN 2022 for CTG classification.
期刊介绍:
Formerly known as Journal de Gynécologie Obstétrique et Biologie de la Reproduction, Journal of Gynecology Obstetrics and Human Reproduction is the official Academic publication of the French College of Obstetricians and Gynecologists (Collège National des Gynécologues et Obstétriciens Français / CNGOF).
J Gynecol Obstet Hum Reprod publishes monthly, in English, research papers and techniques in the fields of Gynecology, Obstetrics, Neonatology and Human Reproduction: (guest) editorials, original articles, reviews, updates, technical notes, case reports, letters to the editor and guidelines.
Original works include clinical or laboratory investigations and clinical or equipment reports. Reviews include narrative reviews, systematic reviews and meta-analyses.