1 / 18

Prevention of BSI and VAP Measuring Change in Outcomes Part II

Prevention of BSI and VAP Measuring Change in Outcomes Part II. Ted Speroff, PhD. Using NNIS Rate Measures is a Problem for QI. NNIS Rates are used in surveillance to detect outbreaks – a rise in rates! Also, easier to make site comparisons And easier to pool data into single rate

lupita
Télécharger la présentation

Prevention of BSI and VAP Measuring Change in Outcomes Part II

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Prevention of BSI and VAPMeasuring Change in OutcomesPart II Ted Speroff, PhD

  2. Using NNIS Rate Measures is a Problem for QI • NNIS Rates are used in surveillance to detect outbreaks – a rise in rates! • Also, easier to make site comparisons • And easier to pool data into single rate • However, the goal of QI is to decrease the rate. • The area you have to work with is between the mean rate and 0. • It is very hard to show improvement using rate as your measure.

  3. To show improvement the rate will be in this area. UCL Central Line is Mean =5.0/1000 days LCL = -1.7 X-axis is Time Scale: days, weeks months When the lower (LCL) control limit is below zero, you have to collect data for a much longer period of time to move the LCL above zero. Control Chart for NNIS Rate

  4. Solution: g Chart • Change your Measure • The number of days between events • Date #2 minus Date #1 • Goal: to increase the number of days between events • There is no upper boundary • As the NNIS rate decreases, the number of days between events increases. • G chart is sensitive for detecting a decrease in NNIS rate • Don’t need to know the census (denominator), just the dates of infections. Thus, not dependent on the number of line-days or vent-days of your ICU.

  5. ExampleQual Saf Health Care 2005;14:295-302

  6. Additional Rules for Control ChartsStatistical Significance • Single point above the UCL • 2 of 3 consecutive points between 2 and 3 sigma • 6 consecutive points in an upward trend • 9 consecutive points above or below the central line (mean)

  7. Excel File Template:Tabs – C-Line BSI & VAP

  8. Reminder:Change Name of File andSave Often

  9. First Entry: MM/DD/YYYYDate of first BSI in your ICU

  10. Continue with Second EntryNote: Days between Events takes at least two entries

  11. Completion of Second Entrystarts the Control Chart

  12. Baseline Data EntryFrom Row 20 to 42

  13. Set Baseline: Move Cursor to Cell F20Edit from B45 to B42

  14. Edit of Chart Title and Data EntryComplete

  15. Print

  16. VAP G Chart

  17. VAP NNIS Worksheet

  18. End of Part IIQuestions and Commentsso far?Continue Part III

More Related