Population Health - Data & Visualizations for Decision Making
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Transcript of Population Health - Data & Visualizations for Decision Making
Managing population health:
Using data & visualizations to inform decisions
Peter Speyer
Chief Data & Technology Officer
[email protected] @peterspeyer
2www.healthdata.org
Institute for Health Metrics and Evaluation (IHME)
• Independent research center at the University of Washington
• Core funding by Bill & Melinda Gates Foundation and State of Washington
• 190 faculty, researchers and staff
• Providing rigorous, scientific measurement– What are the world’s major health problems?
– How well is society addressing these problems?
– How should we best dedicate resources to improving health?
Goal:
improve health
by providing the best
information
on population health
3www.healthdata.org
Managing population health
Goals
• Improve health outcomes
• Control cost
• Compare risk-adjusted outcomes / quality
• Identify and manage high-risk / high-cost patients
Identify affordable
inter-ventions
Target interventions at sub-populations/
individuals
Measure health
outcomes & risk factors
4www.healthdata.org
Managing population health
Goals
• Improve health outcomes
• Control cost
• Compare risk-adjusted outcomes / quality
• Identify and manage high-risk / high-cost patients
Identify affordable
inter-ventions
Target interventions at sub-populations/
individuals
Measure health
outcomes & risk factors
5www.healthdata.org
Measuring outcomes: Global Burden of Disease
• A systematic scientific effort
to quantify the comparative magnitude of
health loss due to diseases, injuries & risk factors
• Applied to different populations– Administrative: global, regional, country, sub-national
(e.g. LA county, Shilin county, Paris)
– Other populations (e.g. General Motors employees)
• GBD 2010 published in the Lancet in 2012(complete revision)
6www.healthdata.org
Measuring burden of diseases and injuries
DALYs (Disability-Adjusted Life Years)
Health
AgeDeath
Deaths
Bestlife
expectancy
YLLsYLLs (Years of Life Lost)
YLDs YLDs
YLDs (Years Lived with Disability)
Disability Weight
7www.healthdata.org
GBD 2013 to be published this fall
• 323 diseases and injuries, 1,500+ sequelae, 69 risk factors
• 188 countries, 1990 to 2013
• Results publicly available
• Collaborative model:1050 experts,106 countries
8www.healthdata.org
Identify all available data inputs
• Vital registration
• Censuses
• Surveys
• Verbal autopsy
• Disease registries
• Surveillance systems
Population based Encounter level Other
• Hospital records
• Ambulatory records
• Primary care records
• Pharmacy records
• Claims data
• Literature reviews
• Sensor data
• Mortuaries / burial sites
• Police records
10www.healthdata.org
Data & Model Flow
Mortality
2Causes of death
3
Non-fatal health
outcomes
4
Risk factors
5Co-
variates
1
YLLs / YLDs / DALYs
6
11www.healthdata.org
Communicating Data for Impact
• Target specific audiences
• Pick relevant format– Publication in major medical journals
– Policy reports
– Infographics
– Data visualizations
• Tailor granularity of data
http://bit.ly/1mogRom
12www.healthdata.org
Visualization demos
www.healthdata.org
13www.healthdata.org
Powerful data for population health management• Synthesis of all available data
• Innovative, peer reviewed methods
• Consistent methods make results comparable
• Uncertainty bounds for all metrics
• Coverage of all causes preventsdouble-counting,e.g. mortality, anemia
• Fully imputed dataset
14www.healthdata.org
Looking ahead
• Taking GBD sub-national– Successful collaborations with UK, China,
Mexico
– US burden at county level
• Expenditure by disease
• Forecasts
Managing population health:
Using data & visualizations to inform decisions
Peter Speyer
Chief Data & Technology Officer
[email protected] @peterspeyer