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How Will You Know Youre

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Patients with DKA, HHS or pregnancy in separate analyses ... Percent patients with mean glucose 80-140 mg/dL by Hospital Day (days 1-7) ... – PowerPoint PPT presentation

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Title: How Will You Know Youre


1
  • How Will You Know Youre
  • Making a Difference?
  • Collecting Data and Devising Metrics
  • Jeffrey L. Schnipper, MD, MPH
  • Director of Clinical Research
  • BWH Hospitalist Service
  • Brigham and Womens Hospital

2
Overview
  • Data Collection
  • Measuring quality of glucose control
    glucometrics
  • Measuring safety hypoglycemia and extreme
    hyperglycemia
  • Measuring processes of care insulin ordering,
    etc.
  • Discussion

3
Data Collection
  • Ideal
  • Automated download of glucose meter data into
    central database
  • Link to hospital database with patient, unit, and
    service information
  • Automatically generated, customizable reports
  • Statistician available when needed

4
Data Collection
  • Reality
  • No stream of data
  • Dont wait, start sampling!
  • No link to hospital data
  • Create link vs. use all available data
  • No reports
  • Start with simple analyses (first pass)
  • Use Yales glucometrics web site
  • No statistician
  • Borrow one vs. do without

5
Glucometrics
  • Definition
  • General Considerations
  • What is most clinically relevant?
  • What is most sensitive to change?
  • What is most likely to be changed by your
    intervention(s)?
  • What is least biased?
  • What has most statistical power?

6
Glucometrics I Which Patients?
  • Who to include? Options
  • All patients with discharge dx of DM
  • All patients with certain of POC values
  • All patients treated with insulin
  • All patients with inpatient hyperglycemia
  • Who to exclude
  • DKA, HHS, Pregnancy
  • Patients with fewer than 4-8 readings
  • Who to stratify
  • ICU vs. Ward

7
Glucometrics I Which Patients?
  • Non Critical Care Units
  • First pass
  • All patients with POC glucose testing
  • Exclude DKA, HHS, pregnancy if possible
  • Second pass
  • All patients with billing codes for diabetes
    (250.xx) or inpatient hyperglycemia (e.g., 2 or
    more glucose readings gt 180 mg/dL)
  • Sensitivity analysis exclude patients with fewer
    than 5 evaluable readings

8
Glucometrics I Which Patients?
  • Critical Care Units
  • First pass
  • All patients in each critical care unit
  • Second pass
  • Patients with DKA, HHS or pregnancy in separate
    analyses
  • All patients with fasting glucose gt 126 mg/dL x2
    or random glucose gt 140 mg/dL x2

9
Glucometrics II Which Readings?
  • Which to include? Options
  • All values
  • Day of procedure (or ICU admission) and next 2
    days
  • First 10-14 days of ward admission
  • 4 standard POC readings on ward
  • Which to exclude? Options
  • First hospital day?
  • Hypoglycemic values when calculating mean?
  • Readings within 1 hour of previous reading?

10
Glucometrics II Which Readings?
  • Non Critical Care Units
  • First pass all POC readings
  • Second pass
  • Sensitivity analysis exclude readings on
    hospital day 1 and hospital days beyond day 10
  • Sensitivity analysis exclude readings taken
    within 1 hour of a previous reading

11
Glucometrics II Which Readings?
  • Critical Care Units
  • All POC and other glucose values used to guide
    care

12
Glucometrics III Glucose Control
  • What unit of analysis?
  • Glucose reading
  • Pros easy to calculate, most statistical power
  • Cons least clinically relevant, skewed data
  • Patient Stay
  • Pros most clinically relevant
  • Cons skewed data by LOS, uneven testing
  • Patient-Day
  • Pros least biased, good balance of other two
  • Cons difficult to calculate and interpret

13
Glucometrics III Glucose Control
  • What measures of control?
  • Rates of hyper- or hypo-glycemia
  • Percent readings within range
  • Mean glucose value (/- exclusion of low values)
  • Percent of mean values within range
  • Rates of being in control (all values within
    range)
  • Pros and Cons for each
  • Best approach is to choose a few

14
Glucometrics III Glucose Control
  • Special Measures
  • Patient-Day Weighted Mean
  • Three-Day Blood Glucose Average (3BG)
  • Hyperglycemic Index
  • Measures by hospital day (HD)

15
Glucometrics III Glucose Control
  • Establishing definitions
  • Hypoglycemia and extreme hypoglycemia
  • Hyperglycemia and extreme hyperglycemia
  • Ideal glucose range
  • Depends on
  • Critical Care vs. Not
  • Mean vs. All Values
  • What will gain consensus at your site
  • Consider tightening definitions over time

16
Glucometrics III Glucose Control
  • Non Critical Care Units
  • First Pass
  • Percent patient-days with mean glucose 80-140
    mg/dL
  • Percent patient-days with all values 70-180 mg/dL
  • Percent patient stays with mean glucose 80-140
    mg/dL

17
Glucometrics III Glucose Control
  • Second pass all first-pass analyses plus
  • Patient-Day weighted mean glucose
  • Mean percent glucose readings per patient that
    are 70-180 mg/dL
  • Percent patients with mean glucose 80-140 mg/dL
    by Hospital Day (days 1-7)

18
Glucometrics III Glucose Control
  • Critical Care Units
  • First pass
  • Percent glucose readings lt110 mg/dL, lt140 mg/dL
  • Percent patient-days with mean glucose lt 110
    mg/dL, lt 140 mg/dL
  • Percent patient-days with all values lt 110 mg/dL,
    lt 140 mg/dL

19
Glucometrics III Glucose Control
  • Critical Care Units
  • First pass
  • 3-day blood glucose average (3BG) for selected
    periop patients
  • Percent patients with 3BG lt 110, lt 140 mg/dL
  • Mean time to reach glycemic target on insulin
    infusion

20
Glucometrics III Glucose Control
  • Critical Care Units
  • Second pass
  • 3BG as above for all patients in critical care
  • Hyperglycemic index for all patients in critical
    care (AUC of glucose values above target)

21
Patient Safety
  • Patient-day best measure
  • Same for critical care and non critical care
  • Percent patient-days with any value
  • lt 40 mg/dL (extreme hypoglycemia)
  • lt 70 mg/dL (hypoglycemia)
  • gt 300 mg/dL (extreme hyperglycemia)

22
Processes of Care Insulin Ordering
  • More sensitive to change than outcomes
  • Failure to change process ? change the
    intervention
  • Selective non-adherence with process
  • Improve implementation
  • Change protocol
  • Accept certain degree to non-adherence

23
Processes of Care Insulin Ordering
  • Non Critical Care Units
  • First pass
  • Among all patients on insulin, percent on basal
  • Second pass
  • Among patients with hyperglycemia (e.g., 2
    readings gt 180 mg/dL), percent on basal
  • Among patients with hyperglycemia and eating,
    percent on basal and nutritional
  • Percent patient days when changes made to insulin
    regimen if hypo- or hyperglycemia the day before

24
Processes of Care Insulin Ordering
  • Critical Care Units
  • First pass
  • Percent of patients with 2 or more glucose
    readings gt 140 mg/dL on insulin infusion protocol

25
Processes of Care Other Measures
  • Glucose measured within 8 hours of admission
  • Hgb A1c measured if not available within 30 days
    of admission
  • POC glucose testing for all patients with
    hyperglycemia or diabetes
  • Measures of adherence to protocol components
  • Use of sliding scale insulin alone
  • Use of diabetes order sets
  • Use of oral diabetic agents (esp. if
    contraindicated)
  • Coordination of POC glucose testing, insulin
    administration, and food delivery
  • Patient, physician, and nurse attitudes,
    education, and satisfaction

26
Analyses
  • RCT
  • Pros easy to interpret and publish results
  • Cons doesnt account for CQI methods
  • Before-After analysis
  • Pros easy to interpret results, may be
    publishable
  • Cons doesnt account for CQI methods, difficulty
    adjusting for temporal trends and cointerventions
  • Run charts
  • Pros best for CQI
  • Cons statistics harder to interpret
  • Run charts with SPC
  • Best of both worlds when using CQI

27
Algorithm
Baseline
Order set
1st order set
28
Discussion
  • Experiences at your institutions
  • Questions
  • Concerns
  • Comments
  • Thank you!
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