1. NIATx –How Do We Know A Change Is An Improvement? a.k.a. “Data Is Your Friend” -REMIX-Graphs and Graphing Thomas R Zastowny, PhD NIATx Coach & Healthcare Consultant Reduce Waiting & No-Shows  Increase Admissions & Continuation All authors share equally in this presentation

2. “To put it simply: tell your story clearly and communicate the data accurately. Do that, and you'll be alright….” Basic Rules for Making Charts Right « graphs-of-the-day.com. Pingback: Curious Cat Management Improvement Blog flowingdata.com/2010/.../7-basic-rules-for-making-charts-and-graphs/ -

3. 1.Check the data 2. Label axes 3. Include units 4. Keep your geometry in check 5. Include your sources 6. Explain encodings 7. Consider your audience

4. Model for Improvement ActPlan StudyDo What are we trying to accomplish? How will we know that a change is an improvement? What changes can we make that will result in an improvement? Reference: Langley, Nolan, Nolan, Norman, & Provost. The Improvement Guide

5. Hunches Theories Ideas Changes That Result in Improveme nt AP SD A P S D AP SD D S P A DATA Change Cycles

6. Three common pictures: ■Pie Charts ■Bar Graphs ■Pictograms

7. SAMPLE BAR Leadership Characteristics Change Leader Characteristic Survey 29 Categories, 99 responses - Change leaders (n = 40)/Executive sponsors (n=20)/Change teams members (n=39)

8. STAR-SI Results: Improvements on a Single Measure RMHA: Decreased average days from 1 st request to admission by 47% (on average) for 12 months FACTS: Almost doubled the % of first appointments kept on average (38% to 71%) HHC: Reduced the average # of days from 1st Assess to Admission by 39% (on average) for 15 months SE Nassau: Increased the number of assessments per month by 30% (on average)

9. STAR-SI providers* increase monthly assessments by 34 % and monthly admissions by 26% *n = 8 STAR-SI Providers (Year I and II)

10. Sample STAR-QI Report AS4: # Days from 1 st request for service to 1 st clinical service This provider was able to reduce the # days from the time of 1 st contact to first service by almost 4 days.

11. Example Chart

12. PI TEA –Use of Data (NIATx Workbook, 2007)

13. Summary-10 Questions 1.Does the message of interest stand out clearly? 2. Is the purpose or title of the picture evident? 3. Is a source given for the data, either with the picture or in an accompanying article? 4. Did the information in the picture come from a reliable, believable source? 5. Is everything clearly labeled, leaving no ambiguity?

14. Summary-10 Questions 6. Do the axes start at zero or not? 7. Do the axes maintain a constant scale? 8. Are there any breaks in the numbers on the axes that may be easy to miss? 9. For financial data, have the numbers been adjusted? 10. Is there information cluttering the picture or misleading the eye?