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SHC Capabilities
The National Minority Quality Forum and the
Data Warehouse
• Founded in 1998, NMQF is a non-profit
Washington-based, health care research and
education organization.
• Seeks to eliminate the disproportionate burden
of premature death and preventable illness in
racial and ethnic minorities and other special
populations through data-driven initiatives.
• Has developed a comprehensive database with over 2 billion patient
records used to define disease prevalence, costs, and outcomes for
demographic subpopulations at the zip code level.
Sustainable Healthy Communities, LLC
•For-profit extending NMQF outreach
•Exclusive publishing rights for NMQF databases, including 15
years+ of analyzed Medicare and Medicaid studies
•Mission is to translate data into tools for patients,
community leaders, policy-makers, clinicians, researchers,
and innovators to achieve health equity and the triple aim—
better care, outcomes, and value.
Health Indices: Map disease by prevalence, cost, outcomes, co-morbidities,
socioeconomic status, Rx drug use, payer, environmental/social factors
Advisory Groups: Gain input of leading experts,
policy-makers, innovators, and community
representatives on data use
Research Support: Examine trends, correlates,
and test hypotheses using health index data
Education: Help clinicians, community groups, and
patients put health index data into use for better
outcomes – minority-serving clinician networks
Clinical Trial Support: Join nation’s top campaign
to encourage diversity in clinical trials—I’M IN, plus trial recruitment services
informed by health index data
SHC Products
Examples of Health Indices
Some of Our Partners
Our Leadership Team: Decades of Health Policy,
Research, Education, and Quality Accomplishment
Gary Puckrein,
PhD, SHC
founder and CEO
May-Lynn
Andresen, BSN-
RN, SHC VP for
Patient
Engagement
Bernard M. Rosof,
MD, MACP, SHC
President
Laura Lee Hall,
PhD, SHC COO
What Have We Learned? Health Care Market Has
Predictable Structure to Guide Resource Management
• Geography Matters: Stable health care consumption
patterns exist in specific geographic locales over time
• Predictable Forces Shape the Market: Consumption
patterns reflect disease prevalence, patient response to
those diseases, practice variation, and health care
system structure and function
• Critical Intelligence: This knowledge is stable and
predictable, and algorithms can be built that can
anticipate consumption patterns.
• The Value Proposition: An understanding of these
consumption patterns can improve management of
health care resources.
Big Data: Challenges and Solutions
• Volume • Rapidly
changing
• Complex
technology
platforms
• Different
data sets
• Expert
analysis
required
• Outputs
not always
actionable,
understandable
CHALLENGES
A SOLUTION
• MAKE IT VISUAL
• Maps provide demographic intelligence about
acute and chronic disorders at the zip code level
– segmented by age, gender, race/ethnicity – to:
• Map any index disease by prevalence, cost,
outcomes, comorbidities, socioeconomic status or
other data type for any state, MSA, congressional
and state legislative districts
• Define where the unmet needs exist
• Forecast trends using predictive analytics
• Produce customized reports to support
educational, advocacy and policy efforts
GIS-based Data Visualization
Confidential: ForAdvisory BoardUseOnly
Health Index Data in Action:
Real-world Examples
Americans Live in 38,000 Zip Codes
Most Minorities Live in 7,500
50%of Asian Live in 1,500 Zip Codes 70%of Hispanics Live in 2,500 Zip Codes
70%of Blacks Live in 2,500 Zip Codes 70%of Other Minorities Live in 1,000 Zip Codes
Adult Immunization Index
U.S. Diabetes Index
Zip code Level Identification of Patients
Investigators, Points of Care, and Trial Sites
Targeting is key
Which Doctors Serve Patients with Diabetes? A
Health Index-ACP Member Map
Understand Specific Physicians’ Patient Profile
2013
229 Multiple Sclerosis Patients
Ruth Kellum Fredericks, M.D.
Neurology
971 Lakeland Dr.
Suite 657
Jackson, Mississippi 39216-4643
Telephone 601-200-2780
Fax Number 601-200-5929
BENE_RACE # BENE % Bene All Cause Cost % All Cause Cost
All Cause Bene Out of
Pocket
% All Cause Bene Out
of Pocket
Average Bene Out of
Pocket
White 146 64% $1,559,361 64% $494,570 69% $3,387.47
Black 81 35% $859,276 35% $220,891 31% $2,727.05
Asian 2 1% $17,924 1% $4,122 1% $2,061.14
229 $2,436,562 $719,584
BENE_RACE # Bene
Medicare Part B
Payments
% Medicare Part B
Payments
Beneficiary Part B Out of
Pocket
% Beneficiary Part B Out
of Pocket
Average Beneficiary Out of
Pocket
White 146 $166,947 61% $41,985 60% $1,143.48
Black 81 $108,956 39% $27,645 40% $1,345.13
Asian 2 $37 0% $10 0% $18.71
229 $275,941 $69,640 $1,204.98
BENE_RACE
Tysabri
intraveno
us
Pro-C-
Dure 5
injection
Solu-
Medrol
(PF)
injection
dexamethaso
ne sodium
phosphate
injection
Celestone
Soluspan
injection
Depo-
Medrol
injection
triamcinolone
acetonide
injection
80 mg
IM
Methylprednis
olone acetate
20 mg
# of Part
B
Medicati
ons
# Bene
% of Part B
Medications
White 51 39 35 24 21 18 10 8 1 207 146 73%
Black 36 1 15 5 3 1 11 72 81 26%
Asian 3 3 2 1%
Total 282 229
Part D Beneficiaries # %
Blacks with CHF On Insulin SMBG 50,902 67%
Blacks with CHF On Insulin No SMBG* 25,326 33%
Total Blacks with CHF On Insulin 76,228
* DME Reimbursements Under $200 per Year
The Power of Data, Research, and Advocacy:
Are African Americans with Diabetes and HF Accessing
Needed Care with Policy Change?
Beyond Claims Data: National Surveys
Environmental Factors
Advocacy and Resource Distribution
Narrow Your Focus… by the Individual
Patient Characteristics
• Age
• Gender
• Race/ethnicity
• Diagnosis
• Comorbidity
• Health insurance
Provider Characteristics
• Demographics
• Billing zip code
• Patient profile
• Rx
• Reimbursement profile
Narrow Your Focus… Geographically
• National
• State/county
• MSA
• Zip code
• Legislative or school
districts
• Individual
clinic/provider
Narrow Your Focus… By Social Demographic Clusters
Narrow Your Focus… Key Statistics
•Incidence
•Prevalence
•Quality of care
•Cost
•Outcomes
Thank you.
For more information, contact Laura Lee Hall at
lhall@shcllc.info

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SHC Intro Slides rev 12.19.2016

  • 2. The National Minority Quality Forum and the Data Warehouse • Founded in 1998, NMQF is a non-profit Washington-based, health care research and education organization. • Seeks to eliminate the disproportionate burden of premature death and preventable illness in racial and ethnic minorities and other special populations through data-driven initiatives. • Has developed a comprehensive database with over 2 billion patient records used to define disease prevalence, costs, and outcomes for demographic subpopulations at the zip code level.
  • 3. Sustainable Healthy Communities, LLC •For-profit extending NMQF outreach •Exclusive publishing rights for NMQF databases, including 15 years+ of analyzed Medicare and Medicaid studies •Mission is to translate data into tools for patients, community leaders, policy-makers, clinicians, researchers, and innovators to achieve health equity and the triple aim— better care, outcomes, and value.
  • 4. Health Indices: Map disease by prevalence, cost, outcomes, co-morbidities, socioeconomic status, Rx drug use, payer, environmental/social factors Advisory Groups: Gain input of leading experts, policy-makers, innovators, and community representatives on data use Research Support: Examine trends, correlates, and test hypotheses using health index data Education: Help clinicians, community groups, and patients put health index data into use for better outcomes – minority-serving clinician networks Clinical Trial Support: Join nation’s top campaign to encourage diversity in clinical trials—I’M IN, plus trial recruitment services informed by health index data SHC Products
  • 6. Some of Our Partners
  • 7. Our Leadership Team: Decades of Health Policy, Research, Education, and Quality Accomplishment Gary Puckrein, PhD, SHC founder and CEO May-Lynn Andresen, BSN- RN, SHC VP for Patient Engagement Bernard M. Rosof, MD, MACP, SHC President Laura Lee Hall, PhD, SHC COO
  • 8. What Have We Learned? Health Care Market Has Predictable Structure to Guide Resource Management • Geography Matters: Stable health care consumption patterns exist in specific geographic locales over time • Predictable Forces Shape the Market: Consumption patterns reflect disease prevalence, patient response to those diseases, practice variation, and health care system structure and function • Critical Intelligence: This knowledge is stable and predictable, and algorithms can be built that can anticipate consumption patterns. • The Value Proposition: An understanding of these consumption patterns can improve management of health care resources.
  • 9. Big Data: Challenges and Solutions • Volume • Rapidly changing • Complex technology platforms • Different data sets • Expert analysis required • Outputs not always actionable, understandable CHALLENGES A SOLUTION • MAKE IT VISUAL
  • 10. • Maps provide demographic intelligence about acute and chronic disorders at the zip code level – segmented by age, gender, race/ethnicity – to: • Map any index disease by prevalence, cost, outcomes, comorbidities, socioeconomic status or other data type for any state, MSA, congressional and state legislative districts • Define where the unmet needs exist • Forecast trends using predictive analytics • Produce customized reports to support educational, advocacy and policy efforts GIS-based Data Visualization Confidential: ForAdvisory BoardUseOnly
  • 11. Health Index Data in Action: Real-world Examples
  • 12. Americans Live in 38,000 Zip Codes Most Minorities Live in 7,500 50%of Asian Live in 1,500 Zip Codes 70%of Hispanics Live in 2,500 Zip Codes 70%of Blacks Live in 2,500 Zip Codes 70%of Other Minorities Live in 1,000 Zip Codes
  • 15. Zip code Level Identification of Patients Investigators, Points of Care, and Trial Sites Targeting is key
  • 16. Which Doctors Serve Patients with Diabetes? A Health Index-ACP Member Map
  • 17. Understand Specific Physicians’ Patient Profile 2013 229 Multiple Sclerosis Patients Ruth Kellum Fredericks, M.D. Neurology 971 Lakeland Dr. Suite 657 Jackson, Mississippi 39216-4643 Telephone 601-200-2780 Fax Number 601-200-5929 BENE_RACE # BENE % Bene All Cause Cost % All Cause Cost All Cause Bene Out of Pocket % All Cause Bene Out of Pocket Average Bene Out of Pocket White 146 64% $1,559,361 64% $494,570 69% $3,387.47 Black 81 35% $859,276 35% $220,891 31% $2,727.05 Asian 2 1% $17,924 1% $4,122 1% $2,061.14 229 $2,436,562 $719,584 BENE_RACE # Bene Medicare Part B Payments % Medicare Part B Payments Beneficiary Part B Out of Pocket % Beneficiary Part B Out of Pocket Average Beneficiary Out of Pocket White 146 $166,947 61% $41,985 60% $1,143.48 Black 81 $108,956 39% $27,645 40% $1,345.13 Asian 2 $37 0% $10 0% $18.71 229 $275,941 $69,640 $1,204.98 BENE_RACE Tysabri intraveno us Pro-C- Dure 5 injection Solu- Medrol (PF) injection dexamethaso ne sodium phosphate injection Celestone Soluspan injection Depo- Medrol injection triamcinolone acetonide injection 80 mg IM Methylprednis olone acetate 20 mg # of Part B Medicati ons # Bene % of Part B Medications White 51 39 35 24 21 18 10 8 1 207 146 73% Black 36 1 15 5 3 1 11 72 81 26% Asian 3 3 2 1% Total 282 229
  • 18. Part D Beneficiaries # % Blacks with CHF On Insulin SMBG 50,902 67% Blacks with CHF On Insulin No SMBG* 25,326 33% Total Blacks with CHF On Insulin 76,228 * DME Reimbursements Under $200 per Year The Power of Data, Research, and Advocacy: Are African Americans with Diabetes and HF Accessing Needed Care with Policy Change?
  • 19. Beyond Claims Data: National Surveys
  • 21. Advocacy and Resource Distribution
  • 22. Narrow Your Focus… by the Individual Patient Characteristics • Age • Gender • Race/ethnicity • Diagnosis • Comorbidity • Health insurance Provider Characteristics • Demographics • Billing zip code • Patient profile • Rx • Reimbursement profile
  • 23. Narrow Your Focus… Geographically • National • State/county • MSA • Zip code • Legislative or school districts • Individual clinic/provider
  • 24. Narrow Your Focus… By Social Demographic Clusters
  • 25. Narrow Your Focus… Key Statistics •Incidence •Prevalence •Quality of care •Cost •Outcomes
  • 26. Thank you. For more information, contact Laura Lee Hall at lhall@shcllc.info

Notes de l'éditeur

  1. Mission:
  2. Big Data analytics is proving a difficult challenge for many health organizations. Big Data is often voluminous and tends to rapidly change and morph, making it challenging to get a handle on and difficult to access. The majority of tools available to work with Big Data are complex and hard to use, and require sophisticated expertise to perform the required data analysis and manipulation to draw out the answers that the business is seeking. A solution is data visualization. Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can more easily grasp difficult concepts or identify new patterns.