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From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals Helen Burstin, MD, MPH Chief Scientific Officer, NQF HEALTH DATAPALOOZA 2016 1
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Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

Oct 05, 2020

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Page 1: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

From Policy to Warehouse to Bedside:  Using Public and Private Data to Improve 

Triple Aim Goals

Helen Burstin, MD, MPHChief Scientific Officer, NQF

HEALTH DATAPALOOZA 2016 1

Page 2: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

What is NQF?

2

NQF is an independent, nonprofit,  membership organization that brings 

together all stakeholders working to  improve health and healthcare through 

quality measurement. 

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• 42 year old father presents to an emergency  department after “falling out”

at home 

without any warning  • Normal EKG; one week follow‐up• Two days later, another episode but did not 

seek care• One week later, he comes in for his primary 

care visit.  

Page 4: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

National Quality Strategy on

4

Page 5: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

Leveraging the Data Dividend

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• Multitude of new sources of data: registries,  EHRs, personal devices, social determinants

• Great potential to know more– Can support better performance measurement 

and better information to personalize care

• Challenges– Making sense of all these data sources– Getting data that is accurate, timely, 

longitudinal and real‐time

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Applying data to improve care and  measurement

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• Analytics for systems level improvement• Feedback on how measures affected care• New sources of data and ability to re‐use 

data for multiple purposes• Use same data sources to support 

improvement, accountability, and  evidence generation

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Patient Focused Episodes 

• Functional Status• Quality of Life• Shared decision‐making• Clinical outcomes & PROs• Costs

Page 8: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

Influence of Healthcare and Patient Factors

8

Health 

status

Time

Healthcare

Patient‐related factors

Outcome due to patient‐related factors and healthcare factors

Page 9: Policy to Warehouse to Bedside: and Private Data to ...From Policy to Warehouse to Bedside: Using Public and Private Data to Improve Triple Aim Goals. Helen Burstin, MD, MPH. Chief

Potential Patient‐Related Factors

9

• Genetics (e.g., predisposition to conditions)• Demographic characteristics (e.g., ethnicity, language)

• Clinical factors (e.g., diagnoses, conditions, severity)• Socioeconomic factors (e.g., poverty, education)

• Environmental factors (e.g., pollution, walking paths)

• Health‐related behaviors (e.g., tobacco, diet)

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Patient Reported Outcomes  (PROs)

• The concept of any report of the status of a  patient’s health condition that comes directly 

from the patient, without interpretation of  the patient’s response.

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Symptom: Depression

The Pathway from PROs to  Performance Measures

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Percentage of depressed patients with 

remission or progress toward remission 

in PHQ‐9 scores at 6 months and at 12 

months  

PHQ‐9 © standardized 

tool to assess depression

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Alternative Payment Framework Models

Category 2FFS with link to 

quality & value

Category 3APMs built on FFS 

architecture

Category 4Population‐based 

payment

Pay for reporting APMs with upside 

gainsharing

Condition‐specific 

population based 

payment

Rewards for 

performance

APMs with upside 

gainsharing & 

downside risk

Comprehensive 

population based 

payment

Rewards & penalties 

for performance

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Data Sources Cited by the NQF  Community‐Based Field Testing Groups

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Data Sources for Community Focus

• The ability to measure population health  improvement requires access to useful, 

usable, appropriate data sources

• Data come from various sources– Local, state, federal agencies– Administrative claims

– Electronic and paper medical records, including  registries

– Surveys (patients, community members,  providers, others)

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Data Challenges for Community Focus

• Small sample sizes of surveys 

• Ability to integrate and share data– Coordination, cross‐linking, aggregation, system 

interoperability

– Staff and resources available to perform these  functions

• Timeliness of available data

• Variation in whether data is collected across regions• Gaining access to non‐medical data to improve 

population health

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Health‐related behaviors  Community‐level 

indicators of health and 

disease 

Primary prevention and/or 

screening

Modifiable social, 

economic, environmental 

determinants of health

0024: Weight Assessment and 

Counseling for Nutrition and 

Physical Activity for 

Children/Adolescents

0728: Asthma Admission Rate 

(pediatric) (per 100,000 

population)

0522: Influenza Immunization 

Received for Current Flu Season0717:  Number of School Days 

Children Miss Due to Illness

1348: Children Age 6‐17 Years who 

Engage in Weekly Physical Activity0277: Congestive Heart Failure 

Admission Rate (PQI 8) (% of 

county population with 

admission for CHF)

0680: Percent of Nursing Home 

Residents Who Were Assessed 

and Appropriately Given the 

Seasonal Influenza Vaccine 

(Short‐Stay)

0721: Children Who Attend 

Schools Perceived as Safe

1349: Child Overweight or Obesity 

Status Based on Parental Report of 

BMI

1999: Late HIV diagnosis 0046 : Osteoporosis: Screening 

for Women Aged 65 Years and 

Older (Assigned to Endocrine 

Project)

0723: Children Who Have 

Inadequate Insurance Coverage 

For Optimal Health 

0029: Counseling on physical 

activity in older adults ‐

a. 

Discussing Physical Activity, b. 

Advising Physical Activity

2020: Adult Current Smoking 

Prevalence0408: HIV/AIDS: Tuberculosis 

Screening (Assigned to Infectious Disease 

Project)

1346: Children Who Are 

Exposed To Secondhand Smoke 

Inside Home

Health and Well Being:  Patient, Provider and Community

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NQF Measure Incubator:  Getting to quality measures that matter

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Topic Developer Data Funding

eMeasuresOutcome 

Measures

Patient‐reported 

Outcome Measures

Cost/ Efficiency/ 

Value Measures

Improved Patient Care and Outcomes

NovelMeasures

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Why a Measure Incubator?

Unfulfilled 

measurement 

needs

Growing 

measurement 

complexity

Major barriers to 

measurement 

innovation

Major measurement gaps across healthcare

Not consistently achieving measures that matter (outcomes, resource use, patient‐centered)

Methodological challenges

Informatics challenges

Clinical challenges

Patient‐centered challenges

Expensive

Time‐consuming

Difficult to access appropriate test beds for innovative measures

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NQF’s Measure Incubator:  Environment  for Innovative Measure Development

• Facilitation – Bring together those with ideas for measures with 

the resources they need to see concepts turned  into specifications

• Data and test beds– Continuous access to robust data throughout the 

development and testing process

• Accelerated cycle time – Rapid‐cycle development and testing

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Drive 

measurement 

that matters to 

improve 

quality, safety 

& affordability 

NQF: Lead. Prioritize. Collaborate.

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The Quality Imperative

Not everything that counts can be counted, and not  everything that can be counted counts 

• ~Albert Einstein

• (William Bruce Cameron)

But…..

• You can’t improve what you  don’t measure

• ~ W. Edwards

Deming

Quality Imperative

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Uses of Data and Measurement: Improve Healthcare Quality 

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Helen Burstin, MD, MPH, FACP

[email protected]

@HelenBurstin