celette sugg skinner, ph.d.collaboration.aacr.org/sites/cps/shared documents/session... · 2016. 2....
TRANSCRIPT
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February 3-5, 2016 | Lansdowne Resort, Leesburg, VA
Celette Sugg Skinner, Ph.D.
Professor and Interim Chair Department of Clinical Sciences, UT Southwestern Medical Center
Associate Director for Cancer Control & Population Sciences Harold C. Simmons Comprehensive Cancer Center
“IT WORKS! WHAT’S NEXT?"
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Interventions with demonstrated effectiveness
We used to develop and test interventions . . .
and that was the end of the research
Best hope was to get into The Community Guide
Multi-factorial
• Lack of funding mechanisms
• Non-disseminable interventions
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Progress in funding options (examples)
NCI Division of Cancer Control & Pop Science
• Implementation Science
• Healthcare Delivery Research
Evidence-based prevention grants
David Chambers
Deputy Director
Ann Geiger
Interim Director
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Breast Screening & Patient Navigation (BSPAN)
• CDC BCCS program
• Theoretically available to all but must have a
program contractor. For bureaucratic reasons re:
Medicaid eligibility, only 1/3 of TX counties had
BCCS contractor (2007)
• CPRIT funding to evaluate de-centralized regional
delivery model for rural underserved
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Phase I – 5 counties; Phase II – 12 additional
Coalition of > 40 community-
based providers and organizations
In Phase I, noticed differential
capacities for 3 program
components
• Outreach
• Navigation
• Reimbursement
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High Capacity:
Navigation
Outreach
Medium Capacity:
Outreach only
Low Capacity:
Components
provided by Hub
Hub:
Centralized Reimbursement
Readiness Assessment Criteria (RAC) Tool
“Hub and Spoke”
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Parkland Health & Hospital System
Dallas County safety-net
serves > 1M under-served
Fully integrated system linking
electronic medical records (EMR)
• 825-bed hospital
• 165 specialty clinics
• 12 community-based adult and pediatrics clinics
• 12 public school-based clinics
• 12 women’s clinics
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Even within an integrated system . . .
Variation and challenges @ multiple levels:
Patient Provider Clinic
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Patient-level variation (examples)
Health status, risk factors, preferences
• “FIT-first” strategy for colorectal cancer screening not right for all
Variation in eligibility and coverage
• Dx procedures following breast/cervical abnormal screens paid for by
BCCS program if legal citizens, by Parkland Health Plus Dallas County
plan if not
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Clinic-level variation
Logistic capabilities
• All pediatrics, but not all women’s clinics, have HPV vaccine
storage and capabilities for Vaccines for Children’s program
• Not all clinics use same FIT kit; implications for
processing, & notification
Practices and “work-arounds”
• We’ve learned to code it this way to get it covered
• We also fax a copy
Beckman/Coulter v. Polymedco
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Electronic medical records haven’t solved all problems
EMR – The of clinical data
Variation in practice of recording data (by clinic or provider)
• Mixed-methods often necessary to discern practices
Even if standardized, not always analyzable (e.g., scanned pdfs)
Promise of natural language processing over-stated for data
collection; not feasible for intervention
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Interventions built into EMR are not sharable
Insert text here
Skinner et al., JAMIA, 2015
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Summary
Interventions now designed more for dissemination
Dissemination & implementation science and funding
Idiosyncratic factors at multiple levels in local settings influence
D & I success; qualitative and quantitative methods often
necessary to elucidate these
Must find a way to share effective interventions built into
proprietary systems (e.g., electronic medical records)
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Thank you