Literature DB >> 12606235

Inaccuracy in cervical dilatation assessment and the progress of labour monitoring.

Milorad Letić1.   

Abstract

Cervical dilatation is an essential indicator of the progress of labour and it is assessed several times during every vaginal delivery. For a long period of time, the size of the error in cervical dilatation assessment was considered of no importance and only in the last ten years it was estimated. The hypothesis is that the estimated error of +/-1cm in cervical dilatation assessment and inaccurate values for the rate of cervical dilatation, influence decisions of obstetricians during labour. It is suggested that in labours in which the rate of cervical dilatation is 1 cm/h the possibility of drawing incorrect conclusions upon progress of these labours is 11 and 33% for time intervals between assessments of 4 and 2 h.

Mesh:

Year:  2003        PMID: 12606235     DOI: 10.1016/s0306-9877(02)00358-4

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  4 in total

1.  The purple line as a measure of labour progress: a longitudinal study.

Authors:  Ashley Shepherd; Helen Cheyne; Susan Kennedy; Colette McIntosh; Maggie Styles; Catherine Niven
Journal:  BMC Pregnancy Childbirth       Date:  2010-09-16       Impact factor: 3.007

2.  The paradox of vaginal examination practice during normal childbirth: Palestinian women's feelings, opinions, knowledge and experiences.

Authors:  Sahar J Hassan; Johanne Sundby; Abdullatif Husseini; Espen Bjertness
Journal:  Reprod Health       Date:  2012-08-28       Impact factor: 3.223

3.  The diagnostic accuracy of purple line in prediction of labor progress in omolbanin hospital, iran.

Authors:  Masoumeh Kordi; Morvarid Irani; Fatemeh Tara; Habibollah Esmaily
Journal:  Iran Red Crescent Med J       Date:  2014-11-16       Impact factor: 0.611

4.  Automatic evaluation of progression angle and fetal head station through intrapartum echographic monitoring.

Authors:  Sergio Casciaro; Francesco Conversano; Ernesto Casciaro; Giulia Soloperto; Emanuele Perrone; Gian Carlo Di Renzo; Antonio Perrone
Journal:  Comput Math Methods Med       Date:  2013-09-09       Impact factor: 2.238

  4 in total

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