Related Experiment Video
Updated: Nov 7, 2025

06:05
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
1.5K
Measuring Variation in Interpregnancy Interval: Identifying Hotspots for Improvement Initiatives
Scarlett D Karakash1, Elliott K Main2, Shen Chih Chang3
1Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California.
American Journal of Perinatology
|May 3, 2021
Summary
Birth certificate data reliably identifies short interpregnancy intervals (IPI < 6 months), revealing significant hospital and regional variations. This data aids quality improvement for optimal birth spacing.
Area of Science:
- Reproductive Health
- Public Health Surveillance
- Perinatal Epidemiology
Background:
- Short interpregnate intervals (IPI < 6 months) are associated with adverse perinatal outcomes.
- Identifying variations in IPI is crucial for targeted interventions.
- Existing methods for IPI calculation may not offer near-real-time data.
Purpose of the Study:
- To assess the utility of single-year birth certificate data for identifying regional and hospital-level variations in short interpregnancy intervals (IPI < 6 months).
- To determine if birth certificate data can serve as a reliable tool for quality improvement initiatives in perinatal care.
Main Methods:
- Utilized birth certificate data from 2015-2016 for multiparous women aged 15-44 with singleton live births.
- Calculated interpregnancy intervals (IPI) using data including maternal race and place of birth.
- Presented IPI frequencies as observed rates, comparing with longitudinal data where available.
Main Results:
- Analysis of 562,039 multiparous women confirmed that birth certificate data reliably estimates short IPI rates, consistent with longitudinal data.
- Short IPI rates demonstrated significant variation across hospitals (0.8-9%) and regions (2.9-6.2%).
- Rates also varied by maternal race and Hispanic nativity, highlighting disparities.
Conclusions:
- Single-year birth certificate data provides a reliable method for near-real-time estimation of interpregnancy intervals (IPI).
- This approach enables the identification of substantial hospital and regional disparities in short IPI rates.
- Birth certificate data is a valuable tool for targeting and rapidly assessing the effectiveness of interventions aimed at promoting optimal birth spacing.
More Related Videos
Related Concept Videos
Variability: Analysis
249
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
249
Regression Toward the Mean
6.6K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.6K
What is Variation?
15.8K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
15.8K

