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1
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- AMIA Primary Care Working Group
- October 22, 2005
- Robert Grundmeier, MD
- The Children’s Hospital of Philadelphia
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2
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- Background
- Why build immunization alerts?
- Methods
- Focus groups
- Decision support implementation
- Results
- Demonstration (connectivity permitting)
- Discussion
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3
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- Timely immunizations are a key element of preventive care for children
- Underserved populations may be difficult to immunize
- All immunization opportunities should be captured
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4
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- Started in 2003
- Immunization rates and covariates were measured
- Only 80% of patients were up to date at age 24 months
- Immunization status at early age (< 6 months) was greatest predictor
of immunization status at age 24 months
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5
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- Grant submitted and funded for a decision support intervention in
primary care sites
- American Academy of Pediatrics Young Investigator Award
- Focus groups to build consensus with physician, nurse, and
administrative representation from each site
- Outcome comparison to historical controls
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6
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- Recommended Electronic Health Record (EHR) centered intervention with
best practice alerts as central element
- Clarified immunization schedule
- Resolved differences between CDC, ACIP, and package inserts
- Recommended workflow for both nurses and physicians
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7
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- Clarifying intervals
- Local custom vs. standards
- Do we really want to start immunizations at 6 weeks?
- Prospective alerts vs. retrospective validation
- How do we use the “4 day grace period” recommendation?
- How do we handle product shortages?
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8
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- Pertussis outbreak occurred in Philadelphia during winter 2003-2004
- Philadelphia Department of Public Health (PDPH) investigated
- Discovered that missed DTaP #4 was a key predictor of disease
- Recommended DTaP #4 booster at earliest age possible
(12 months rather than 15 months)
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9
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- Providers felt uncomfortable with PDPH recommendation
- National domain expert states:
- “Immunogenicity of DTaP #4 is better at 15 months than 12 months.”
- And then:
- “But it is better to immunize at 12 months than not at all.”
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10
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- Retrospective office visit data were analyzed to predict effect on
immunization rates if DTaP #4 administered at 12 months
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11
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12
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- Design for near perfect predictive value
- Alert behavior for each antigen determined by
- Current age
- Number of valid doses on file
- Time since last dose
- Age at last dose (Hib and Prevnar)
- Time since first dose (Hep B)
- Prior disease history (Varicella)
- Time of year (Influenza)
- Product availability and choice (Prevnar, Pediarix)
- Contraindications (especially Influenza)
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13
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14
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15
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16
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17
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18
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19
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- Prevnar recommendations changed twice during implementation due to
shortages
- Update was made and verified
in << 1 hour
- Influenza vaccine was added to project scope
- No change in infrastructure required to temporarily handle seasonality
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20
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21
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22
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23
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24
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- Electronic Health Record (EHR) facilitated all aspects of the project
- Clarifying the problem of poor immunization rates
- Using relevant data to build consensus
- Making the intervention
- Measuring the effect
- Demo
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25
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- Background
- Paper version of asthma care plan
- Integration into Epic
- Evaluation
- Demonstration
- Discussion
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26
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- Paper-based asthma care plan had been in use sporadically prior to Epic
implementation
- After Epic implementation, virtually no new paper asthma care plans were
filled out for patients
- This was bad, because there was no alternative tool in Epic at that
time…
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27
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28
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- Pew Charitable Trusts funded a team of asthma specialists from primary
care, allergy, and pulmonary
- Standardize asthma care “toolkit” within institution including asthma
care plan
- Educate clinicians
- Integrate with electronic health record
- Distribute widely
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29
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30
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31
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32
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33
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34
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- Asthma QI project initiated
- Consistent documentation of asthma severity class
- Prescription and use of controller medications
- Consistent use of the Asthma Care Plan
- Standardized education across the network
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35
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36
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37
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38
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- Implement an asthma classification and asthma control “coach”
- Continue audit and feedback strategy
- Quality of care measures may be included in physician incentives
- Implement real-time decision support
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39
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40
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41
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42
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