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Trainings and tools

  • Home: Trainings and tools
  • Webinars
  • Public health and QI toolbox
  • Resource library for advancing health equity
  • Public health nursing tools and resources
  • CHS administration handbook
  • All publications and handbooks
  • Related: TA and workforce development
  • Return to the Center for Public Health Practice
Contact Info
Center for Public Health Practice
651-201-3880
health.ophp@state.mn.us

Contact Info

Center for Public Health Practice
651-201-3880
health.ophp@state.mn.us

Run Chart

What is a run chart?
How to create a run chart
Using a run chart to test for special causes
Examples of run charts
Further reading
Sources

 

What is a run chart?

A run chart is used to study collected data for trends or patterns over a specific period of time. A run chart will help you:

  • Monitor data over time to detect trends, shifts, or cycles
  • Compare a measure before and after the implementation of solution to measure impact
  • Focus attention on vital changes, not normal variation
  • Track useful information for predicting trends

The run chart is a running record of a process over time:

  • The vertical axis represents the process being measured
  • The horizontal axis represents the units of time by which the measurements are made
  • The centerline of the chart is the mean or average

A run is defined as one or more consecutive data points on the same side of the mean line.

See Also: PH&QI Toolbox: Control Chart

 

How to create a run chart

  1. Choose which data you will measure and track
  2. Gather data: Generally, collect 20-25 data points, with which you can detect meaningful patterns over time
  3. Create a graph on which you can plot your data (y axis, or vertical line) over time (x axis, or horizontal line)
  4. Plot the data
  5. Interpret the chart: Focus on the vital changes or meaningful trends/patterns, rather than each and every data variation; keep reading for interpretation tips

 

Using a run chart to test for special causes

Test #1: The presence of too much or too little variability

Use when there are too few or too many runs.

Test #2: The presence of a shift in the process

A special cause exists if a run contains too many data points (i.e., with 20 or more data points, a run of 8 or more data points is considered "too long"; with less than 20 data points, a run of 7 might also be considered "too long").

Test #3: The presence of a trend

A trend is defined as an unusually long series of consecutive increases or decreases in the data, (usually at least 6 or 7).

 

Examples of run charts

Isanti County, WIC no-show rate

This run chart from Isanti County shows the percentage of WIC appointments missed over a 1.5-year period.

Click to view larger image.

Run Chart

More examples of run charts

The Use of Control Charts in Health-Care and Public-Health Surveillance (PDF)
Journal of Quality Technology

Plotting Basic Control Charts: Tutorial Notes for Healthcare Practitioners (PDF)
Quality and Safety in Health Care

 

Further reading

Basics of the Control Chart (PDF)
MDH Office of Performance Improvement / UMN School of Public Health

Control Chart
American Society for Quality

The Control Chart: An Epidemiological Tool for Public Health Monitoring
Public Health

Finding the Right Tool for your Purpose (PDF)
MDH Office of Performance Improvement

 

Sources

Public Health Memory Jogger
Public Health Foundation, GOAL/QPC

Basics of the Control Chart (PDF)
MDH Office of Performance Improvement / UMN School of Public Health

Tags
  • public health practice
Last Updated: 10/03/2022

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