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Displaying your Data: QI Data Tools. MIECHV Grantee Meeting June 6, 2014. Bar Charts Charting your Data. 2. Bar Charts: Purpose & When to Use. Purpose A tool to display how often/frequently something occurs When to Use
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Displaying your Data: QI Data Tools MIECHV Grantee Meeting June 6, 2014
Bar Charts: Purpose & When to Use • Purpose • A tool to display how often/frequently something occurs • When to Use • When you want to display the relative frequency of different items • Examples of Data to Chart • Data from a database • Data from a survey • Data from a check sheet • Administrative data • Etc.
Sample Bar Chart Title x-axis y-axis
What does your Bar Chart tell you? • At first glance, what do you notice? • Which bar is shortest? Longest? Why might this be? • Indicates the item with the least and most frequency • Do different groups have a different pattern? • What might this tell us? • What changes do you notice over time by category? • What might this tell us? • What questions do these graphs leave unanswered? • Are there ways to change the graphs to better answer these questions?
A Few Tips • Make sure your team is in agreement regarding what data you would like to chart. • Don’t forget to label your chart! • Title • Horizontal axis (x-axis) • Vertical axis (y-axis) • Be sure to check your chart for accuracy. • Don’t forget to study and discuss the results of your chart!
Run Charts: Purpose • To study data measured over time • Run charts help to: • Study the performance of a process • Identify trends • Measure change in performance following a change in process Guidebook, 2nd Edition, page 68 Memory Jogger, page 125
Run Charts: When to Use • When you have, or can collect: • Quantitative data • On the measure of the performance of a process • Over time • Example • Sunny County Nurse Family Partnership program wants to increase the number of referrals it receives each month. In order to ensure that the referral process is stable, they use a run chart to examine changes from month to month in the number of referrals they receive.
Run Charts: Step by Step • Step 1 • Decide what data you need • Are the data you need already tracked? • Do the data need to be collected? • Determine the timeframe and number of data collection points • Should you make your count annually, quarterly, monthly, weekly, daily, hourly? • Try to gather data from 20+ time points in order to establish a trend • Step 2 • Gather your data
Run Charts: Step by Step • Step 3: • Graph your data • On the Y-axis, set up a scale that corresponds with your measure • On the X-axis, set up a scale that corresponds with your measurement timeframe • Plot your data on the chart, placing one dot at each measurement point • Draw a line through your dots • Calculate the mean score and draw a line at the mean • Mark the timing of your change • Excel, Word, and other programs can help! • For example…
Run Charts: Step by Step • Step 4: • Make sense of your results by examining your data • Does the mean reflect an appropriate level of service or outcome of your process? • Is there a trend that should be investigated? • Do you see a shift in your data? Are there 8 or more consecutive points on one side of the center line? • Do you see a trend in your data? Are there six consecutive jumps in the same direction (up or down)? • Do you see a pattern in your data? Does a pattern recur eight or more times in a row? • Back to our example…
Run Charts: Hints and Tips • Every process will have some variation • Be cautious about assuming that variation from the average has meaning • Be sure to tack data over a long enough period of time • This will help you identify the true mean and the true level of variability within the process.
Next Steps, Questions, & Evaluations MIECHV Grantee Meeting June 6, 2014
Learning Collaboratives: Next Steps • Test improvement theories (If/Then Statements) through mid-August 2014 • Continue testing original theories if success has been achieved thus far • An additional theory can be tested during this time to see if you can make an even greater improvement • Develop new theories if success has not been achieved thus far • Consider theories other teams have used that have been successful
Learning Collaboratives: Next Steps • Submit revised Team Charter to your MPHI technical assistance provider no later than June 30, 2014 • Please note: revised Team Charter should be completed in its entirety when submitted. • MPHI technical assistance provider will provide feedback by July 15, 2014
Learning Collaboratives: Next Steps • By August 25, 2014: • Complete PDSA cycle • Complete Story Board for PDSA cycle and send to MPHI technical assistance contact • MPHI technical assistance contact will: • Provide feedback on Story Board by September 2, 2014 • Final, revised story boards are due no later than September 8, 2014 • Story Boards will be printed and brought to final Grantee Meeting on September 18th for project sharing
Wrap-up • Questions • Evaluations • Technical Assistance Contact Information • EHS and HFA Programs • Contact: Robin VanDerMoere • rvanderm@mphi.org • 517.324.8380 • NFP Programs • Contact: Angela Precht • alewispr@mphi.org • 517.324.7343 Thank you!!
