Fear of childbirth according to parity, gestational age and obstetric history

Teoh, PJ; Nelson, Scott M.

doi:10.1111/j.1471-0528.2009.02153.x

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…We would like to thank Drs Teoh and Nelson 1 for their interest in our paper ‘Fear of childbirth according to parity, gestational age and obstetric history’ 2 . We agree that our population in Finland has less racial and ethnic variation than that in some developed countries.…”

Section: Author's Replymentioning

confidence: 60%

“…1 This original study suggests that following the procedure on a screen does not benefit patients and could have negative effects on patient-physician interaction. As we share an interest in both hysteroscopy and surgical videos and regularly perform outpatient hysteroscopy as well as record surgical procedures, we would like to make a number of observations regarding this.…”

Section: Sirmentioning

confidence: 99%

“…The study 'Fear of childbirth according to parity, gestational age and obstetric history' by Rouhe H et al 1 identifies that 7.5% of women have a severe fear of childbirth, with nulliparity associated with an increased prevalence. The authors opined the results could be generalised to other pregnant women in the developed world.…”

Section: Sirmentioning

confidence: 99%

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Fear of childbirth according to parity, gestational age and obstetric history

Rouhe

Salmela‐Aro

Halmesmäki

et al. 2009

BJOG

103

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Section: Author's Replymentioning

confidence: 60%

Section: Sirmentioning

confidence: 99%

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Fear of childbirth according to parity, gestational age and obstetric history

Rouhe

Salmela‐Aro

Halmesmäki

et al. 2009

BJOG

103

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“…Dimensions to delivery mode choice among expectant mothers vary from one to another. To the nulliparous with recurrent spontaneous abortions, the determination of delivery mode for a successful pregnancy (full term pregnancy) is of prime importance due to heightened expectations and increased anxiety [2]. This anxiety among nulliparous [3] often leads to requests for a particular delivery mode as compared to the nulliparous with no history of spontaneous abortions.…”

Section: Introductionmentioning

confidence: 99%

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers

Owusu-Adjei,

Ben Hayfron-Acquah,

Gaddafi

et al. 2024

Preprint

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The desire for safer delivery mode that preserves the lives of both mother and child with minimal or no complications before, during and after childbirth is the wish for every expectant mother and their families. However, the choice for any particular birth delivery mode is determined primarily by a number of factors that feed into the ultimate decision of choice. Some of these include maternal birth history, maternal and child health conditions prevailing before and during labor onset. Predictive modeling has been used extensively to determine important contributory factors influencing delivery choice. However, missing among a myriad of features used in various research studies for this determination is maternal history of spontaneous, threatened and inevitable abortion(s) and how its inclusion can impact delivery outcomes. This research work therefore takes measurable maternal features that include real time information on administered partographs to predict delivery type. This is achieved by adopting effective feature selection technique to estimate variable relationship with the target variable. Three supervised learning techniques are used and evaluated for performance. Prediction accuracy score of area under the curve obtained show Gradient Boosting classifier achieved 91% accuracy, Logistic Regression 93% and Random Forest 91%. Balanced accuracy score for the same learning techniques obtained were; Gradient Boosting 82.73%, Logistic Regression 84.62% and Random Forest 83.02%. Correlation statistic for variable independence among input variables showed that delivery type as an output is associated with gestational age and the progress of maternal cervix dilatation during labor onset.

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Fear of childbirth according to parity, gestational age and obstetric history

Cited by 2 publications

References 3 publications

Fear of childbirth according to parity, gestational age and obstetric history

Fear of childbirth according to parity, gestational age and obstetric history

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers

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