Population Health - Data & Visualizations for Decision Making

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Managing population health: Using data & visualizations to inform decisions Peter Speyer Chief Data & Technology Officer [email protected] @peterspeyer

description

Measurement is key for population health management. Global Burden of Disease provides data on burden by disease, injury and risk factor in countries around the world.

Transcript of Population Health - Data & Visualizations for Decision Making

Page 1: 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

Page 2: Population Health - Data & Visualizations for Decision Making

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

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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

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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

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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)

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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

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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

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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

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The Global Health Data Exchange (GHDx.org)

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Data & Model Flow

Mortality

2Causes of death

3

Non-fatal health

outcomes

4

Risk factors

5Co-

variates

1

YLLs / YLDs / DALYs

6

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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

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Visualization demos

www.healthdata.org

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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

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Looking ahead

• Taking GBD sub-national– Successful collaborations with UK, China,

Mexico

– US burden at county level

• Expenditure by disease

• Forecasts

Page 15: 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