Literature DB >> 9166295

A scoring system for the prediction of successful delivery in low-risk birthing units.

D Koong1, S Evans, C Mayes, S McDonald, J Newnham.   

Abstract

OBJECTIVE: To establish and test the effectiveness of a low-risk scoring system to predict obstetric outcome for the selection of women suitable for confinement in low-intervention units.
METHODS: Retrospective analyses were performed on data from 2900 women enrolled in the Western Australian Pregnancy Cohort Study and 1353 women managed at a midwifery-based birth center. A combination of the principal predictors of obstetric outcome, incorporating a previously published scoring system and various clinical features, was used to exclude high-risk cases at 18 weeks' and 36 weeks' gestation. Stepwise multivariate logistic regression analyses of the remaining pregnancies then produced a low-risk scoring system.
RESULTS: This system predicted a 55% chance of an uncomplicated delivery in a midwifery-based setting after allocating 54% of women to the low-risk category. It predicted an 82% chance of an uncomplicated delivery in a primary medical care setting with the allocation of 84% of women as low risk.
CONCLUSION: The results of this study suggest that adding induction and augmentation of labor, together with low pelvic instrumental delivery, to the treatment options in a low-intervention unit would raise the rate of successful confinement within the unit from 55% to 82%. Our scoring system now requires prospective evaluation to further assess its clinical value.

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Year:  1997        PMID: 9166295     DOI: 10.1016/s0029-7844(97)81435-4

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  1 in total

Review 1.  Longitudinal Intergenerational Birth Cohort Designs: A Systematic Review of Australian and New Zealand Studies.

Authors:  Michelle L Townsend; Angelique Riepsamen; Christos Georgiou; Victoria M Flood; Peter Caputi; Ian M Wright; Warren S Davis; Alison Jones; Theresa A Larkin; Moira J Williamson; Brin F S Grenyer
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

  1 in total

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