Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Introduction to Statistical Process Control

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...

The R Chart

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
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

The x̄ chart is a statistical tool for monitoring the means in a process.
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...

Quality Control

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...

Interpreting X̄ Charts

Interpreting X̄ Charts

Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
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,...

Pareto Chart

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Impaired kidney function in People with HIV compared to People without HIV.

AIDS (London, England)·2026

Same author

Functional dyspnea as an early marker of vulnerability to persistent physical symptoms in the CONSTANCES population-based cohort.

Journal of psychosomatic research·2026

Same author

Surgeon Social Jet Lag and Patient Risk of Major Adverse Events.

JAMA surgery·2026

Same author

Violence against healthcare workers as a signal of health system strain: Implications for health policy and governance.

Health policy (Amsterdam, Netherlands)·2026

Same author

Evaluating quality of care and patient safety with ICD-11: Opportunities for the French National Health Data System (SNDS).

Journal of epidemiology and population health·2026

Same author

The ReDSiam network: cataloging, developing, and evaluating algorithms to identify pathologies in the French National Health Data System (SNDS).

Journal of epidemiology and population health·2026

Search research articles

Related Experiment Video

Updated: Jun 10, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

The p-control chart: a tool for care improvement.

Antoine Duclos¹, Nicolas Voirin

¹Pôle Information Médicale Evaluation Recherche, Hospices Civils de Lyon, Lyon F-69003, France. antoineduclos@yahoo.fr

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care

|August 3, 2010

Summary

The p-chart, a tool for monitoring adverse events, aids in understanding and reducing care variability. Proper development and interpretation are key to its effective use in clinical practice for improved patient safety.

More Related Videos

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

Related Experiment Videos

Last Updated: Jun 10, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

Area of Science:

Healthcare Quality Improvement
Biostatistics
Patient Safety

Background:

The p-chart is an accessible tool for monitoring adverse events in healthcare.
It aids in transforming data into actionable knowledge to reduce care variability.
Developing expertise in p-chart utilization is essential for accurate interpretation and application.

Purpose of the Study:

To outline the development and interpretation of p-charts for clinical practice.
To guide the integration of p-charts into comprehensive quality improvement strategies.
To provide a framework for reporting studies that utilize p-charts.

Main Methods:

P-charts combine time series analysis with graphical data presentation.
Key elements include selecting well-defined indicators and using binomial distribution for control limits.
Risk adjustment is incorporated to enhance performance in healthcare settings.

Main Results:

Effective p-chart implementation requires investigating indicator variations and testing quality improvement initiatives.
Strong management leadership and a culture of constructive evaluation are crucial for success.
P-charts facilitate continuous critical examination of delivered care.

Conclusions:

The p-chart, originating from manufacturing, now significantly contributes to healthcare process improvement and patient safety.
Its application encourages practitioners to critically assess and enhance patient care.
Properly implemented, p-charts are valuable for quality management in healthcare.