Structured clinical examinations in labor: rekindling the craft of obstetrics.


Journal

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
ISSN: 1476-4954
Titre abrégé: J Matern Fetal Neonatal Med
Pays: England
ID NLM: 101136916

Informations de publication

Date de publication:
Jun 2021
Historique:
pubmed: 20 8 2019
medline: 22 6 2021
entrez: 20 8 2019
Statut: ppublish

Résumé

Exact knowledge of fetal station and position is of paramount importance for reliable surveillance of labor progress and a prerequisite for safe operative vaginal procedures. Detailed clinical assessments are thoroughly described in old textbooks, but almost forgotten in contemporary obstetrics. Ultrasound is suggested as an objective diagnostic tool in active labor. Several publications have demonstrated a low correlation between ultrasound and clinical assessment of fetal head station and position, but the methods of clinical assessment in these studies are poorly described. We wanted to explore if a quality clinical assessment could perform better than clinical assessment in previous publications, by analyzing the correlation between a structured method of clinical assessment and intrapartum ultrasound. In all, 100 laboring women with cervical dilatation ≥7 cm were included in a prospective cohort study at Oslo University Hospital-Ullevål from October to December 2016. The study design was cross-sectional. Clinical examinations were performed by one special educated consultant (JKI), and transabdominal and transperineal ultrasound clips were recorded and examined by a blinded expert in intrapartum ultrasound (TME). Fetal position was classified as a clock face with 12 units (hourly divisions) and thereafter categorized as occiput anterior (OA), left occiput transverse (LOT), occiput posterior (OP), and right occiput transverse (ROT) positions. Fetal station was categorized clinically from -5 to +5 and measured with ultrasound as angle of progression (AoP) and head-perineum distance (HPD). AoP is the angle between a longitudinal line through the symphysis and a tangent to the head contour. HPD is the shortest distance between the fetal skull and the perineum. Eight women were excluded due to strong contractions between clinical assessments and ultrasound measurements, fetal distress, or incomplete examinations. Fetal position assessed with ultrasound and clinical examination agreed exactly in 48/92 (52%) of cases, within one unit (hour) in 87/92 (95%) of cases and within two units in 90/92 (98%) of cases. It differed by three units in one case and by five units in one case. The agreement categorized into OA, LOT, OP, and ROT was good (Cohen's kappa 0.72; 95% CI 0.61-0.84). For station, the agreement was very good for both HPD (Pearson correlation coefficient We found very good correlations between structured clinical assessments and ultrasound examinations, suggesting that an objective quality in clinical examinations is possible to achieve. More focus on clinical skills training may improve accuracy for clinicians.

Identifiants

pubmed: 31422727
doi: 10.1080/14767058.2019.1651283
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1963-1969

Auteurs

Johanne Kolvik Iversen (JK)

Department of Obstetrics and Gynecology, Oslo University Hospital, Oslo, Norway.
Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Anne Flem Jacobsen (AF)

Department of Obstetrics and Gynecology, Oslo University Hospital, Oslo, Norway.
Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Thea Falkenberg Mikkelsen (TF)

Department of Obstetrics and Gynecology, Oslo University Hospital, Oslo, Norway.

Torbjørn Moe Eggebø (TM)

Center for Fetal Medicine, Trondheim University Hospital, St. Olavs Hospital, Trondheim, Norway.
Institute of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

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Classifications MeSH