Title: Prevention of BSI and VAP Measuring Change in Outcomes Part II
1Prevention of BSI and VAPMeasuring Change in
OutcomesPart II
2Using 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.
3Control Chart for NNIS Rate
4Solution 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 - Dont 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.
5ExampleQual Saf Health Care 200514295-302
6Additional 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)
7Excel File TemplateTabs C-Line BSI VAP
8ReminderChange Name of File andSave Often
9First Entry MM/DD/YYYYDate of first BSI in your
ICU
10Continue with Second EntryNote Days between
Events takes at least two entries
11Completion of Second Entrystarts the Control
Chart
12Baseline Data EntryFrom Row 20 to 42
13Set Baseline Move Cursor to Cell F20Edit from
B45 to B42
14Edit of Chart Title and Data EntryComplete
15Print
16VAP G Chart
17VAP NNIS Worksheet
18End of Part IIQuestions and Commentsso
far?Continue Part III