A computer model of antenatal care: relationship between the distribution of obstetric risk factors in simulated cases and in a real population

Chard, Tim; Carroll, Sue

doi:10.1016/0028-2243(90)90142-n

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Such rating systems are mainly numerical. The overall risk score is calculated to obtain a composite score and then categorize women into two or more categories, from low to moderate and high-risk groups [31,38,39]. The issue with this summing up is that different factors carry different risks.…”

Section: Discussionmentioning

confidence: 99%

Associated factors of labor satisfaction and predictor of postnatal satisfaction in the north-east of Peninsular Malaysia

2020

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Introduction Identifying the factors contributing to maternal satisfaction is a proxy measure to improve the quality of care. It evaluates the health service provision by understanding maternal perceptions and expectations and promoting adherence to health services. This study aimed to identify the sociodemographic, obstetric, and medical factors contributing to labor satisfaction among postpartum women and examine the association between labor and postnatal satisfaction. Methodology A cross-sectional study using systematic random sampling in a ratio of 1:5 based on the delivery list in a labor room in a tertiary hospital was applied. Information was obtained from medical records for sociodemographic characteristics and obstetric and medical histories. Faceto-face interviews were performed to obtain responses for Malay versions of the Women's Views of Birth Labour Satisfaction Questionnaire and the Women's Views of Birth Postnatal Satisfaction Questionnaire. Simple and general linear regression analyses were performed. Results A total of 110 participants responded, accounting for a response rate of 100%. High-risk color codes, the period of gestation, household income, and were significantly associated with maternal satisfaction during labor. The association between labor and postnatal satisfaction was significant. Conclusion Identifying these associated factors and differences may lead to understanding and contributing to specific and targeted strategies for tackling issues related to maternal satisfaction.

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Section: Discussionmentioning

confidence: 99%

Associated factors of labor satisfaction and predictor of postnatal satisfaction in the north-east of Peninsular Malaysia

2020

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“…These actual findings confirm similar observations derived from a computer model of fetal risks. 5 One new factor addressed indirectly by the current study is the question of the number of cases needed to form an effective data base for risk factor calculation. There is a fairly general view that the data base should be very large, although there have been few if any attempts to quantitate the actual numbers required.…”

Section: False Positive Ratementioning

confidence: 99%

Evaluation of a Fetal Risk-Scoring System

Chard

Learmont²,

Carroll³

et al. 1992

Amer J Perinatol

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A population of 2029 pregnant women (929 primiparas; 1100 multiparas) has been used to examine aspects of the calculation of obstetric risk scores from the presence of individual risk factors. The findings have been related to fetal outcome in these pregnancies and the following conclusions were reached: (1) the use of Bayes theorem for the calculation of a risk score is superior to the simple addition of weighted risk factors; (2) the diagnostic efficiency of a risk score is somewhat reduced when the data base used for calculation of the score is derived from a population different from that of the current pregnancy; (3) there is almost total overlap of risk scores in women with satisfactory and unsatisfactory fetal outcome. It is concluded that risk scores can be used to identify a small group of women at particularly high risk; in the remainder of the population scores are unhelpful except perhaps to indicate the women who do not require an intensive program of antenatal care.

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A Systematic Review of Antenatal Risk Scoring Systems in India to Predict Adverse Neonatal Outcomes

Pallepogula

Adhisivam

Ballambatu

et al. 2021

J Obstet Gynecol India

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A computer model of antenatal care: relationship between the distribution of obstetric risk factors in simulated cases and in a real population

Cited by 3 publications

References 7 publications

Associated factors of labor satisfaction and predictor of postnatal satisfaction in the north-east of Peninsular Malaysia

Associated factors of labor satisfaction and predictor of postnatal satisfaction in the north-east of Peninsular Malaysia

Evaluation of a Fetal Risk-Scoring System

A Systematic Review of Antenatal Risk Scoring Systems in India to Predict Adverse Neonatal Outcomes

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