Related Experiment Video
Updated: Jun 20, 2026

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
Published on: October 10, 2025
[Statistical process control charts in perinatal mortality surveillance]
Nora E Montoya-Restrepo1, Juan C Correa-Morales
1SUSALUD, Medellín, Colombia. noramore@susalud.com.co
Objective:
Applying statistical process control (SPC) charts in perinatal mortality surveillance (as an epidemiological indicator).
Method:
The control charts were prepared using 51,840 births; 286 cases were produced from these births. All information came from SUSALUD between January 2004 and December 2007. Two control charts are presented; the first one's central line was considered to be the proportion of cases + 3 SD and the second one used the logits from the percentages of cases.
Results:
Two control charts were prepared for monitoring perinatal mortality. The first considered the percentage of cases per month and an average of five cases per one thousand births was obtained (p=0.005). The logits were used for the second chart.
Conclusions:
Having SPC charts available for monitoring and analysing perinatal mortality will allow changes in service quality to be quickly detected and let aspects regarding the quality of the service being provided for mothers and the newborn to be evaluated. Specific interventions can also be programmed.
Related Concept Videos
Introduction to Statistical Process Control
The R Chart
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
Interpreting Run Charts
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
Run Charts
