Related Experiment Video
Updated: Jan 20, 2026
06:56
Cell Dissociation from the Tongue Epithelium and Mesenchyme/Connective Tissue of Embryonic-Day 12.5 and 8-Week-Old Mice
Published on: January 21, 2021
5.1K
Does the Day of the Week Predict a Cesarean Section? A Statewide Analysis
Gabriel A Del Carmen1, Sahael Stapleton1, Motaz Qadan1
1Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
The Journal of Surgical Research
|August 18, 2019
Summary
Cesarean section (CS) rates are significantly lower on weekends compared to weekdays. This finding holds true even after accounting for various patient and hospital factors, suggesting nonclinical influences on delivery practices.
Area of Science:
- Obstetrics and Gynecology
- Health Services Research
- Epidemiology
Background:
- Clinical guidelines for cesarean sections (CS) exist, but nonclinical factors may influence their application.
- Variations in CS rates based on the day of the week are suspected.
Purpose of the Study:
- To investigate whether cesarean section rates differ between weekends and weekdays.
- To identify potential nonclinical factors influencing cesarean section practices.
Main Methods:
- Analysis of a California database (2006-2010) including over 1.8 million deliveries.
- Comparison of cesarean section versus vaginal delivery rates, adjusting for patient demographics, clinical factors, and system variables.
Main Results:
- Overall cesarean section rate was 9.02%.
- Unadjusted and adjusted analyses showed significantly lower cesarean section rates on weekends (6.65%) versus weekdays (9.58%).
- Women were 27% less likely to have a cesarean section on weekends (OR 0.73).
Conclusions:
- Cesarean section rates are substantially decreased on weekends compared to weekdays.
- This disparity persists even after controlling for patient, hospital, and system factors, indicating the influence of nonclinical elements.
Related Concept Videos
02:27Predicting Molecular Geometry
45.4K
VSEPR Theory for Determination of Electron Pair Geometries
45.4K
01:03Prediction Intervals
3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.3K
01:07End Point Prediction: Gran Plot
1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.2K
01:13Sensitivity, Specificity, and Predicted Value
1.2K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
1.2K
02:24Predicting Reaction Outcomes
10.3K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.3K
02:52Predicting Products: Substitution vs. Elimination
13.8K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
The following factors can influence the mechanisms competing against each other:
13.8K