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Reevaluation of Point of Care Testing Implementation

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... staff looks at schedule and orders POC labs if marked. Front Desk Staff ... patients also have yellow sheets stapled to their ... POC labs straight from ... – PowerPoint PPT presentation

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Title: Reevaluation of Point of Care Testing Implementation


1
Reevaluation of Point of Care Testing
Implementation
  • Andrew Maclennan
  • PGY 1
  • Presented 7/16/2008

2
Background - Enhanced Care for Diabetic Patients
  • Care providers use surrogate markers of patient
    health such as Hgb A1C and cholesterol profiles
    to guide therapy.
  • Helpful to have results at patient encounter
  • Goal of UNC Internal Medicine Clinics test
    surrogate markers in at least 90 of patients
    with indications
  • In 2004, POC protocols instituted

3
Background
4
Background Impact of Past Cholesterol Ordering
Interventions
5
CQI Model for ImprovementFundamental Questions
for Improvement
  • Aim
  • Measures
  • Changes/Evidence-based strategies

What are we trying to accomplish?
How will we know that changes are an improvement?
What changes can we make that will result in
an improvement?
6
Model for Improvement
What are we trying to
accomplish?
How will we know that a
change is an improvement?
What change can we make that
will result in improvement?
7
PDSA Plan-Do-Study-Act Cycles for Testing Change
  • Plan
  • What are your aims and goals for this cycle?
  • Develop plan to test the change.
  • Develop plan for data collection (measures).
  • Do
  • Perform your test/change.
  • Collect data.
  • Study
  • Analyze your data (quantitative and qualitative).
  • Did you encounter problems?
  • What did you learn?
  • Act
  • Did you achieve your aims and goals?
  • Are you ready to spread/implement the change?
  • If not, what changes are needed for next PDSA
    cycle?

8
PDSA CyclesTests of Change to Drive Improvement
Changes that result in improvement
Learning
Learning
Cycle 3 Aims Measures Changes
Cycle 2 Aims Measures Changes
Cycle 1 Aims Measures Changes
Ideas
DeWalt
9
POC Database for Diabetic Patients
  • POC list automatically generated each day for the
    following days patients
  • Follows guidelines to recommend when A1C and
    TC/HDL testing indicated
  • Can evaluate efficacy by comparing POC list vs.
    WebCIS data

10
Cycle 1 POC ImplementationInitial Data
Collection
  • Who Abigail Miller (pharmacy student), Annie
    Whitney, Rob Malone
  • What Measurements of TC/HDL and A1C obtained vs
    indicated
  • When March 2008
  • Where ACC Internal Medicine Clinics
  • How long 10 Clinic Days

11
Cycle 1 Abigail Miller
  • Average Daily A1C Tests Obtained
  • 45 of indicated tests actually obtained.
  • 4-17 POC A1C tests indicated/day.

12
Cycle 1 Abigail Miller
  • Average Daily TC/HDL Tests Obtained
  • 31 of indicated tests actually obtained.
  • 1-8 TC/HDL tests indicated/day.

13
Cycle 1
  • Conclusions
  • Many patients with indications for POC testing
    not receiving it.
  • Future Directions
  • Why arent patients receiving their indicated
    testing?

14
Cycle 2 Plan
  • Quantify the effectiveness of the current system
    for POC testing.
  • Identify areas where patients are falling
    through the cracks .
  • Specific questions
  • 1. Has the rate of POC testing improved since
    March 2008?
  • 2. Where is the breakdown occurringin ordering
    the POC tests or in carrying out the orders?

15
Plan for test
  • Who Andrew Maclennan, Annie Whitney, Rob Malone
  • What Quantify the number of indicated POC tests
    that were indicated and carried out on diabetic
    patients.
  • When 5/28/08 -- 6/23/08
  • Where UNC ACC clinics
  • How Data collected using the POC testing
    database and WebCIS

16
Plan for Data Collection
  • Calculate of indicated POC testing that
    actually occurred.
  • Compile list of patients missing POC testing
  • Determine whether indicated POC tests were
    actually ordered in the system.
  • Look for patterns
  • Where did breakdown occur?

17
Data
  • 13 Days of Data Collected
  • POC A1C
  • 109 Tests Indicated
  • 88 Tests Carried Out (81)
  • TC/HDL
  • 38 Tests Indicated
  • 25 Tests Carried Out (66)

18
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19
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20
Patterns?
  • Errors
  • dont occur more frequently on specific days.
  • Dont occur on one side of the ACC more often
    than others

21
Why Didnt Patients Receive POC A1C?
22
Process of POC Lab Ordering
23
Intervention
  • Simplify ordering process
  • Eliminate steps 1-5
  • Diabetic patients also have yellow sheets stapled
    to their billing forms
  • Sheets state whether POC testing is indicated
  • Order POC labs straight from the yellow sheets
  • Front desk can initial that POC labs were ordered
    or not
  • Can write reason why labs not ordered
  • Traceable record left behind

24
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25
Data - Yellow sheet intervention
  • 3 Days of Data Collected
  • POC A1C
  • 24 Tests Indicated
  • 20 Tests Carried Out (83)
  • TC/HDL
  • 7 Tests Indicated
  • 5 Tests Carried Out (71)

26
After yellow sheet POC procedure
27
Data Why wasnt indicated testing carried out?
  • 3 of the 4 patients who missed A1c testing and 1
    of the 2 patients who missed TC/HDL testing had
    no front desk initials on the yellow paper.
  • ? Was everybody informed of change?
  • 1 patient was not tested because of test results
    from an outside dialysis center.
  • Front desk staff noted this on the yellow sheet,
    improving communication.

28
What was learned?
  • Indicated POC A1c and TC/HDL testing is being
    carried out at a high rate, but still short of
    the 90 goal.
  • Streamlining the ordering process is feasible
  • Fewer steps for human error
  • Some patients are still being missed
  • With better communication on yellow sheets, we
    may be able to understand why.

29
Were goals met?
  • Current levels of POC A1c and TC/HDL testing were
    measured.
  • Area identified where patients falling through
    cracks.
  • Intervention tried
  • At least as effective as previous system
  • Still room for improvement

30
Next steps
  • Continue ordering POC with the yellow sheets.
  • Ensure that all front desk employees are informed
    of this new procedure.
  • Re-measure POC testing rates afterwards.
  • Institute Redundancy
  • Nurses also check yellow sheets and take
    appropriate action?
  • Pipe dream?
  • Integrate POC database with GE scheduling/WebCIS
    to automatically order POC testing.
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