Related Experiment Video
Updated: Feb 12, 2026
19:15
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
88.1K
Antenatal risk screening and scoring: a new look
1Family Health International, P.O. Box 13950, Research Triangle Park, NC 27709, USA.
Summary
Effective antenatal risk assessment is crucial but challenging due to false negatives. Obstetric history proves more reliable than demographic factors for predicting maternal and fetal complications, requiring a system to manage unexpected issues in low-risk pregnancies.
Area of Science:
- Obstetrics and Gynecology
- Maternal-Fetal Medicine
- Public Health
Background:
- Risk assessment is a cornerstone of antenatal care.
- Program-level implementation faces challenges, notably false negatives.
- False negatives occur in women with few identified risk factors who develop complications.
Purpose of the Study:
- To evaluate commonly used risk indicators in antenatal care.
- To assess the effectiveness of these indicators for maternal and fetal outcomes.
- To determine the sensitivity of risk factors, considering false negatives.
Main Methods:
- Literature review of risk assessment indicators in antenatal care.
- Evaluation of indicators against maternal outcomes (cephalopelvic disproportion).
- Evaluation of indicators against fetal outcomes (low birthweight/prematurity).
Main Results:
- Obstetric history is a more effective predictor of risk than demographic variables (e.g., age, parity).
- Sensitivity of risk factors must be weighed against the probability of false negatives.
- Demographic variables show limited predictive value for complications.
Conclusions:
- Effective antenatal risk assessment requires careful consideration of false negatives.
- Obstetric history offers superior predictive value compared to demographic data.
- Risk assessment protocols must incorporate mechanisms for timely intervention in unexpected complications among low-risk women.
Related Concept Videos
01:06Introduction to z Scores
11.3K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
11.3K
01:05Introduction to z Scores
1.4K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
1.4K
01:17z Scores and Area Under the Curve
19.6K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K
01:12Relative Risk
2.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
01:07z Scores and Unusual Values
11.1K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.1K
01:26Factors Affecting the Risk of Infection
13.8K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.8K