7/11/2017 Run Charts 1 7/11/2017 The Importance of Data within - PDF document

7/11/2017 Run Charts 1

7/11/2017 The Importance of Data within the BTS Each team will have theories on why they have problems within their sites, the collection of data and its analysis assists these teams with discovering answers to their hypotheses. If we can’t measure something we have no way of improving it. Measuring your data points over time will help you identify areas within your project that need more focus You can then identify specific areas of need without spending extended time and effort with the whole project 3 What is a Run Chart Run charts are used to understand the trends and shifts in a process or variation over time, to identify decline or improvement in a process over time 4 2

7/11/2017 Why a Run Chart? Process change happens over time Determining if a change has happened, and if that change lasts overtime is important to process improvement A run chart will help study observed data for trends or patterns over a specific period of time and focus attention on vital changes in the process The run chart is useful for tracking information and predicting trends or patterns 5 Static vs Dynamic View of Data Courtesy: IHI 3

7/11/2017 Static vs. Dynamic Interpretation Change implemented Cycle time (min) Change implemented Key Resource: Moen et al Quality Improvement through Planned Experimentation 1999 7 Static vs Dynamic Dynamic View UCL View LCL Every process displays variation • Common Cause/ Statistical Variation – Stable, consistent patterns of variation, “chance”, constant causes • Special Cause Variation – assignable, Static View pattern changes over time, non-random  Chad Glenn, Innovation Group 8 4

7/11/2017 How many data points? • Typically you should have between 1 5 – 20 data points before constructing a chart  15 – 20 patients  15 – 20 days  15 – 20 weeks  15 – 20 months  15 - 20 quarters…? 9 Courtesy: IHI Elements of a Run Chart Data Point Four simple run rules are used to determine if special cause variation is present 10 Courtesy: IHI 5

7/11/2017 Rules to Identify non-random patterns (Special Cause Variation) in the data displayed on a Run Chart  Rule #1: A shift in the process, or too many data points in a run (6 or more consecutive points above or below the median)  Rule #2: A trend (5 or more consecutive points all increasing or decreasing)  Rule #3: Too many or too few runs (use a table to determine this one)  Rule #4: An “astronomical” data point Courtesy: IHI 11 Rule 1: Shift Courtesy: IHI 12 6

7/11/2017 Rule 2: Trend Courtesy: IHI Rule 3: Number of Runs Courtesy: IHI 7

7/11/2017 Rule 4: Astronomical Data Point Courtesy: IHI Making sense of the data is a process Analysis Data Interpretation Input Transformation Output “This shift in data points seems to indicate that the underlying process has undergone some kind of change…” Key Resource: Donald Wheeler Understanding Variation/ Managing Chaos 1993  Chad Glenn, Innovation Group 16 8

7/11/2017 Important Uses of Run Charts for Improvement Activities  Display data over time to make process performance visible  Determine whether a change led to an improvement  Determine if gains are held after a change has been implemented  Chad Glenn, Innovation Group 17 Courtesy: IHI 9