Analyzing Claims Data to Uncover the Costs of the …...Analyzing Claims Data to Uncover the Costs...

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530 Fifth Avenue, 18th Floor, New York, NY 10036 fairhealth.org fairhealthconsumer.org consumidor.fairhealth.org Copyright 2017, FAIR Health, Inc. All rights reserved. CPT © 2016 American Medical Association (AMA). All rights reserved. Analyzing Claims Data to Uncover the Costs of the Opioid Crisis June 24, 2017

Transcript of Analyzing Claims Data to Uncover the Costs of the …...Analyzing Claims Data to Uncover the Costs...

Page 1: Analyzing Claims Data to Uncover the Costs of the …...Analyzing Claims Data to Uncover the Costs of the Opioid Crisis June 24, 2017 •MISSION: to bring clarity to healthcare costs

530 Fi f th Avenue, 18th Floor, New York, NY 10036

fai rheal th.org • fai rheal thconsumer.org • consumidor. fai rheal th.org

Copyright 2017, FAIR Health, Inc. All rights reserved.

CPT © 2016 American Medical Association (AMA). All rights reserved.

Analyzing Claims Data to Uncover the Costs of the Opioid Crisis

June 24, 2017

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• MISSION: to bring clarity to healthcare costs and health insurance information

• ACTION: fulfills mission with robust data products, award-winning consumer tools and research platform

• ORIGINS: established as conflict-free, independent, national not-for-profit

• IMPACT: widespread impact on diverse stakeholder groups, including state leaders

FAIR Health Mission

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• Government

• Researchers/Universities

• Payors

• Employers

• Healthcare Systems/Facilities

• Healthcare Professionals

• Bill Review Companies

• Consumers

• Unions

• TPAs

• Auto Liability

• Benefits Planners

• Consultants

Stakeholders We Serve

• Pharma

• Actuaries

• Brokers

• DME Companies

• Think Tanks

• Investment Analysts

• Litigation Support

• Medical Societies

• Trade Associations

• Workers’ Compensation

• Institutes/Foundations

• Healthcare Information Technology (HIT)

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The FAIR Health Private Claims Repository

>23BProcedures from 2002 to the

Present from Medical and

Dental Claims

>150M Covered Lives

493 Geozip Regions

Reflecting Local Billing

Patterns

• Coverage

o All 50 states

o District of Columbia

o Puerto Rico

o Guam

o US Virgin Islands

• 60 contributors

o National and regional payors

o Third-party administrators

• Private insurance claims

o Fully insured and self-insured/ERISA plans

o Cover 75% of privately insured US population

• Quality testing and control

o Data validated with expert-vetted tests for completeness, volume, accuracy, etc.

o Recognized statistical “outlier” methodologies identify and exclude excessively high and low charges that would distort distribution of charges

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• One of only four organizations across the country entitled to receive Parts A, B and D Medicare data for all 50 states

• Issue probing reports on key aspects of healthcare industry/provider performance

• Powerful synergies between ourprivate claims data and Medicare collection of claims

• Four complete years of data: 2013-2016

FAIR Health: Certified CMS Qualified Entity

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Applied Uses of FAIR Health Data

Management &

Operational Support

Fee Schedules &

Reimbursement

Public Health &

Consumer

Engagement

Policy & Research

• Plan, Benefit and Provider

Network Design

• HR/Benefits

Administration

• Premium Rate Review

• ACO/Bundled Payment

Modeling

• Support Public/Private

Exchanges

• Management of

CDHPs/HSAs

• Value “Add-Ons” for Plan

Members

• Strategic Planning

• Market Research

• Medicaid Reform

• In-/Out-of-Network

Provider Fee Schedules

• Balance Billing

Negotiations with

Providers

• Dispute Resolution

• Reference Pricing

• Auto Liability Fee

Schedules

• Workers’ Compensation

Fee Schedules

• Medicare Gap Fill

• Consumer Transparency

Tools

• Educational Materials

• Public Health/Education

Campaigns

• Support Open Enrollment

• Advocacy Materials

• Syndromic Surveillance

• Design Interventions

• Consumer Protection

Laws

• Health Economics and

Policy Research

• Evaluate Legislative and

Regulatory Action

• Analyze Health and Cost

Disparities

• Statutory Benchmark for

State Programs

• Epidemiologic Heat Maps

• Study Treatment

Protocols

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State Purpose

Alaska • Workers’ compensation fee schedule

• Out-of-network claims pricing under

the state health insurance plan

Arizona • Dental claims reimbursement for

disabled pediatric patients

California • Emergency care for low-income

patients

Connecticut • FAIR Health 80th percentile

benchmark designated as UCR for

emergency services

Georgia • Worked with the state to update and

distribute their workers’ compensation

fee schedule

Kentucky • Data support workers’ compensation

fee schedule

Mississippi • “Usual and customary” charges under

workers’ compensation fee schedule

are based on the FAIR Health 40th

percentile

State Purpose

New Jersey • Authorized personal injury protection

(auto liability) reimbursement standard

• Department of Banking and Insurance

recognizes FAIR Health as consumer

information source

New York • Medical indemnity fund for birth-

related neurological impairments

• Benchmark for consumer cost

transparency and dispute resolution

North Dakota • Data used to inform the state’s

workers’ compensation fee schedule

Pennsylvania • “Usual and customary” standard in the

workers’ compensation program is

based on the FAIR Health 85th

percentile

Texas • Department of Insurance links

consumers to FAIR Health for help

with surprise bills

Wisconsin • Certified for use for workers’

compensation fees

State Applications

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• 80th percentile of charges for a particular service in a particular geographic area

• As reported in a benchmarking database maintained by a conflict-free not-for-profit organization not affiliated with an insurer or similar organization

• Plans are not required to reimburse at 80th percentile level but must articulate how they reimburse in comparison to UCC

o Supports “apples to apples comparisons”

o Supports dispute resolution

• FAIR Health is the only data source officially recognized as UCC

Codified Definition: NY Usual and Customary Cost (UCC)

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Connecticut: FAIR Health 80th percentile is the UCR standard for payments for out-of-network emergency services

Connecticut Consumer Protection Statute

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FAIR Health data cited as benchmark for permissible charge rate for emergency physician services

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California Health and Safety Code

Section 127452. ….

(b) An emergency physician shall limit expected payment

for services provided to a patient at or below 350 percent

of the federal poverty level and who is eligible under the

emergency physician's discount payment policy ….

When FAIR Health, Inc. makes available the rate of

payment received by physicians and surgeons from

commercial insurers for the same services in the same or

similar geographic region, the amount of expected

payment under this section shall be no greater than the

median or average of rates paid by commercial insurers

for the same or similar services in the same or similar

geographic region.

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• FAIR Health assists legislators, policy makers and administrators

o Provides FAIR Health data and expertise to evaluate programs; set standards; identify trends in disease, care, places of service and costs

o Assists in development of fee-for-service and bundled payment schedules

o Meets with legislative bodies/government agencies to evaluate needs and opportunities for FAIR Health data and tools

o Offers public programs linked access to bilingual consumer tools and instruction and rights to use and distribute educational material

• FAIR Health provides test files as appropriate for consideration by public officials

Resource for Public Officials/Lawmakers

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• Transparent, local market benchmarks for out-of-network or non-covered supplies and services

• Validated, robust charge and utilization data for estimating costs or savings related to legislative proposals, research hypotheses and other needs

• Evaluation of policy interventions (e.g., use of a newly covered service, pre- and post-implementation)

• Heat mapping of disease outbreaks, utilization trends and more

• Assessment of impact of the ACA

• Review of geographic variation in utilization and charges

• Development of wide variety of healthcare market indices

Selected Uses for Policy and Research

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Sampling of Publications

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Ocean of Claims

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View into the Ocean

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FAIR Health Analytic Reports

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• Professional charges and allowed amounts for services for patients diagnosed with opioid abuse or dependence rose more than 1,000 percent from 2011 to 2015

• In the period 2011-2014, emergency department codes were the two codes with highest aggregate charges associated with opioid abuse diagnoses, but were not among the top five codes associated with opioid dependence diagnoses

• In 2015, total annual per-patient charges and allowed amounts for services for patients with opioid abuse or dependence diagnoses were more than 500 percent higher than per-patient charges and allowed amounts based on all patients’ charges

The Opioid Crisis

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3,203% Increase in Opioid Dependence Diagnoses and 511% Increase in Pregnancy Drug Dependence

0%

5%

10%

15%

20%

25%

30%

35%

40%

2007 2008 2009 2010 2011 2012 2013 2014

Pe

rcen

t o

f cla

im lin

es

Year

Opioid dependence Opioid abuse Opioid overdose

Heroin overdose Pregnancy drug dependence Opioid antagonist overdose

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Proprietary and Confidential 19

Opioid Dependence and Heroin Overdose Highest in 19-35-Year-Olds, 2007-2014

0%

10%

20%

30%

40%

50%

60%

70%

0 to 4 5 to 12 13 to 18 19 to 35 36 to 45 46 to 55 56 to 65 Over 65

Pe

rcen

t o

f o

pio

id d

ep

en

de

nce

lin

es

Age group

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Opioid Dependence More Common in Men, 2007-2014

0% 10% 20% 30% 40% 50% 60% 70%

0 to 4

5 to 12

13 to 18

19 to 35

36 to 45

46 to 55

56 to 65

Over 65

Percent of opioid dependence lines

Age

gro

up

Male Female

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Opioid Abuse on the Rise in Women, 2007-2014

0%

5%

10%

15%

20%

25%

30%

2007 2008 2009 2010 2011 2012 2013 2014

Pe

rcen

t o

f o

pio

id a

bu

se

lin

es

Year

Female Male

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Increasing Service Categories for Opioid Abuse and Dependence

0%

5%

10%

15%

20%

25%

30%

35%

40%

2011 2012 2013 2014

Pe

rce

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Year

Highest Increasing Services with an Opioid Diagnosis, Year over Year

Alcohol and/or drug services/therapy Laboratory tests E&M Services to hospitalized patients

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Opioid Abuse More Frequently Diagnosed than Opioid Dependence, 2007-2014

AK

HI

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Total Amounts

$71.66M

$176.31M

$303.17M

$645.66M

$721.80M

$32.42M

$88.67M

$159.38M

$360.48M

$445.74M

$0.0M

$100.0M

$200.0M

$300.0M

$400.0M

$500.0M

$600.0M

$700.0M

$800.0M

2011 2012 2013 2014 2015

Dolla

r am

ou

nt

Year

Professional Charges and Allowed Amounts for Services for Patients Diagnosed with Opioid Abuse or Dependence

Total charged amount Total allowed amount

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Opioid Abuse

Highest Charges during Time Period 2011-2014

Opioid Dependence

Highest Charges during Time Period 2011-2014

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Emergency Department Codes Dominate Opioid Abuse Category

$4.24 M

$4.11 M$3.52 M

$2.83 M

$2.16 M

99284 99285 83925 G0431 80101

$86.39 M

$78.50 M$64.21 M

$47.34 M

$46.57 M

83925 G0431 82542 80104 H0020

Procedure Code Description

CPT 99284 EMERGENCY DEPARTMENT VISIT HIGH SEVERITY AND LIFE THREATENING

CPT 99285 EMERGENCY DEPARTMENT VISIT HIGH/URGENT SEVERITY

CPT 83925 OPIATE(S), DRUG AND METABOLITES, EACH PROCEDURE

HCPCS G0431 DRUG SCREEN, QUALITATIVE; MULTIPLE DRUG CLASSES BY HIGH-COMPLEXITY TEST METHOD

CPT 80101 DRUG SCREEN, QUALITATIVE; SINGLE DRUG CLASS METHOD

CPT 82542 COLUMN CHROMATOGRAPHY/MASS SPECTROMETRY NONDRUG ANALYTE

CPT 80104 DRUG SCREEN, QUALITATIVE; MULTIPLE DRUG CLASSES

HCPCS H0020 ALCOHOL AND/OR DRUG SERVICES

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$9,972 $10,742 $11,404

$50,490 $53,662

$63,356

$-

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

2013 2014 2015

Cha

rge

d a

mou

nt

Average total charges per patient

Average Per-Patient Charges for Services for All Patients and for Patients with Opioid Abuse or Dependence Diagnoses

All patients Opioid patients

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Per-Patient Amounts

$3,001 $3,245 $3,435

$15,059

$16,655

$19,333

$-

$5,000

$10,000

$15,000

$20,000

$25,000

2013 2014 2015

Allo

wed

am

ou

nt

Average total allowed amount per patient

Average Per-Patient Allowed Amounts for Services for All Patients and for Patients with Opioid Abuse or Dependence Diagnoses

All patients Opioid patients

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Per-Service Charges Related to Opioid Abuse and Dependence by State, 2015

AK

HI

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Urban/Rural Breakout of Opioid Dependence/Abuse, 2007-2016

0%

5%

10%

15%

20%

25%

0 to 12 13 to 18 19 to 22 23 to 30 31 to 40 41 to 50 51 to 60 61 to 70 71 to 80 Over 80Perc

ent

of

cla

im lin

es

Age group

Age Group Diagnoses for an Urban Setting

0%

5%

10%

15%

20%

25%

30%

35%

0 to 12 13 to 18 19 to 22 23 to 30 31 to 40 41 to 50 51 to 60 61 to 70 71 to 80 Over 80

Perc

ent

of

cla

im lin

es

Age group

Age Group Diagnoses for a Rural Setting

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Urban/Rural Breakout of Opioid Dependence/Abuse, 2007-2016

0% 20% 40% 60% 80%

13 to 18

19 to 22

23 to 30

31 to 40

41 to 50

51 to 60

61 to 70

71 to 80

Over 80

Percent of claim lines

Age

gro

up

Rural Age and Gender

Male Female

0% 20% 40% 60% 80%

13 to 18

19 to 22

23 to 30

31 to 40

41 to 50

51 to 60

61 to 70

71 to 80

Over 80

Percent of claim lines

Age

gro

up

Urban Age and Gender

Male Female

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Opioid-Related Diagnoses

0.000%

0.200%

0.400%

0.600%

0.800%

1.000%

1.200%

1.400%

1.600%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Pe

rcen

t o

f cla

im lin

es in r

ele

va

nt sta

te

Year

Largest Cities in the United States

Chicago Houston Los Angeles NYC Philadelphia

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Heroin and Opioid Overdoses in Philadelphia, 2007-2016

0 to 183%

19 to 3075%

31 to 5018%

Over 504%

Heroin Overdoses by Age Range

0 to 187%

19 to 3018%

31 to 5015%

Over 5060%

Opioid Overdoses by Age Range

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Heroin and Opioid Overdoses in Philadelphia

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

2011 2012 2013 2014 2015

Pe

rce

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es

Year

Heroin Overdoses by Age Range

0 to 18 19 to 30 31 to 50 Over 50

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

2011 2012 2013 2014 2015

Pe

rcen

t o

f cla

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es

Year

Opioid Overdoses by Age Range

0 to 18 19 to 30 31 to 50 Over 50

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Opioid Dependence and Abuse in Pennsylvania

0 to 181%

19 to 3069%

31 to 5020%

Over 5010%

Opioid Dependence by Age Range, 2011 to 2016

0 to 186%

19 to 3031%

31 to 5038%

Over 5025%

Opioid Abuse by Age Range, 2011 to 2016

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Opioid-Related Diagnoses in California

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Pe

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Year

California Diagnoses Year over Year by Category

Heroin overdose Opioid abuse Opioid dependence

Opioid overdose Pregnancy drug dependencydrug dependence

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Opioid Dependence and Abuse in California, 2007-2016

Opioid abuse

3%

Opioid dependence

97%

Opioid Abuse and Dependence in California

0%

10%

20%

30%

40%

50%

60%

70%

0 to 18 19 to 30 31 to 50 Over 50

Pe

rcen

t o

f cla

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es

Age group

Opioid Abuse and Dependence by Age

Opioid abuse Opioid dependence

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Opioid and Heroin Overdoses in California, 2007-2016

Opioid overdose

55%

Heroin overdose

45%

Opioid and Heroin Overdoses in California

0%

10%

20%

30%

40%

50%

60%

0 to 18 19 to 30 31 to 50 Over 50

Pe

rce

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f cla

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es

Age group

Opioid and Heroin Overdoses by Age

Opioid overdose Heroin overdose

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Opioid-Related Diagnoses in New York, 2016

NYC43%

Rest of NY36%

NYC suburbs

21%

Total Population in NY State

NYC13%

Rest of NY50%

NYC suburbs

37%

Distribution of Opioid Diagnosis Claim Lines in NY

State

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Opioid-Related Diagnoses in New York State

0%

10%

20%

30%

40%

50%

60%

70%

80%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Pe

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Year

Top Increasing Areas in New York State

Binghamton Rochester Queens Plattsburgh Syracuse

Elmira Manhattan Utica Long Island Mid-Hudson

2007 to 2016

Increase

2014 to 2016

Increase

Binghamton 20,726% 3,899%

Rochester 12,162% 231%

Queens 10,999% 1,658%

Plattsburgh 2,181% 359%

Syracuse 2,128% 113%

Elmira 2,106% 287%

Manhattan 1,978% 801%

Utica 1,977% 305%

Long Island 1,910% 4%

Mid-Hudson 1,273% -8%

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Opioid-Related Diagnoses in New York State, 2007-2016

Heroin overdose

1.19%

Opioid abuse4.72%

Opioid dependence

93.13%

Opioid overdose

0.96%

Opioid and Heroin Diagnoses in New York

State

Heroin overdose

Opioid abuse

Opioid dependence

Opioid overdose

0%

10%

20%

30%

40%

50%

60%

70%

Heroinoverdose

Opioidabuse

Opioiddependence

Opioidoverdose

Pe

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Age group

By Age Range

0 to 18 19 to 30 31 to 50 Over 50

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Opioid-Related Diagnoses in Texas, 2016

Austin2%

Dallas23%

Dallas suburbs

1%

Fort Worth3%

Houston4%Rest of

Texas1%

San Antonio66%

Distribution of Opioid-Related Diagnosis Claim Lines in

Texas

Austin5%

Dallas5%

Dallas suburbs

9%

Fort Worth7%

Houston8%

Rest of Texas61%

San Antonio5%

Total Population in Texas

AustinDallasDallas suburbsFort WorthHouston

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0%

10%

20%

30%

40%

50%

60%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Pe

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Year

By Texas Region

San Antonio Dallas Austin Fort Worth Rest of Texas Dallas suburbs Houston

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Opioid-Related Diagnoses in Texas

Region

Increase from

2007 to 2016

Increase from

2014 to 2016

San Antonio 141,022% -9%

Dallas 40,562% 543%

Austin 3,661% 78%

Fort Worth 1,809% 123%

Rest of Texas 1,224% -9%

Dallas suburbs 1,168% 257%

Houston 876% 26%

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Opioid-Related Diagnoses in San Antonio, TX

Heroin overdose

10%

Opioid overdose

90%

Overdose Information in San Antonio, TX, 2007 to 2016

Opioid abuse

3%

Opioid dependence

97%

Dependence and Abuse in San Antonio, TX, 2007 to 2016

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Opioid-Related Diagnoses in the State of Texas

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Heroinoverdose

Opioidabuse

Opioiddependence

Opioidoverdose

Pe

rce

nt o

f cla

im lin

es

Age group

Opioid-Related Diagnoses in the State of Texas from 2007 to 2016, by Age Range

0 to 18 19 to 30 31 to 50 Over 50

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Heroinoverdose

Opioidabuse

Opioiddependence

Opioidoverdose

Pe

rce

nt o

f cla

im lin

es

Age group

Opioid-Related Diagnoses in San Antonio, Texas, 2007 to 2015, by Age Range

0 to 18 19 to 30 31 to 50 Over 50

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Procedures Associated with Opioid-Related Diagnoses

H001532%

G047920%

G047719%

G048315%

H003514%

California Distribution in 2016

HCPCS Code Description

H0015 Alcohol and/or drug services; intensive outpatient

G0479 Drug test(s), any number of drug classes, not optical

G0477 Drug test(s), any number of drug classes, optical

G0483 Drug test, definitive, 22+ classes

H0035 Mental health partial hospitalization, treatment, less than 24 hours

HCPCS Code Description

H0015 Alcohol and/or drug services; intensive outpatient

G0843 Drug test, definitive, 22+ classes

H0035 Mental health partial hospitalization, treatment, less than 24 hours

G0479 Drug test(s), any number of drug classes, not optical

S0201 Partial hospitalization, treatment, less than 24 hours

H001534%

G048323%

H003520%

G047913%

S020110%

California Expenditures in 2016

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Procedures Associated with Opioid-Related Diagnoses

Procedure Code Description

CPT 99213 Office visit - 15 minutes

HCPCS J2315 Injection, naltrexone, depot form, 1 mg

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS H0005 Alcohol and/or drug services; group counseling by a clinician

CPT 99214 Office visit - 25 minutes

9921327%

J231522%

G047921%

H000516%

9921414%

Illinois Distribution in 2016

J231571%

G04799%

G04827%

G04837%

908536%

Illinois Expenditures in 2016

Procedure Code Description

HCPCS J2315 Injection, naltrexone, depot form, 1 mg

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS G0482 Drug tests, 15-21 classes

HCPCS G0483 Drug test, definitive, 22+ classes

CPT 90853 Group psychotherapy

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Procedures Associated with Opioid-Related Diagnoses

Procedure Code Description

HCPCS H0020 Alcohol and/or drug services; methadone administration

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS H0005 Alcohol and/or drug services; group counseling by a clinician

CPT 99213 Office visit - 15 minutes

HCPCS G0480 Drug test def 1-7 classes

H002027%

G047925%

H000519%

9921315%

G048014%

New York Distribution in 2016

G047936%

G048017%

H002017%

G048316%

9921314%

New York Expenditures in 2016

Procedure Code Description

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS G0480 Drug test def 1-7 classes

HCPCS H0020 Alcohol and/or drug services; methadone administration

HCPCS G0483 Drug test, definitive, 22+ classes

CPT 99213 Office visit - 15 minutes

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Procedures Associated with Opioid-Related Diagnoses

Procedure Code Description

HCPCS G0479 Drug test(s), any number of drug classes, not optical

CPT 82570 Creatinine; other source

CPT 83986 pH; body fluid, not otherwise specified

HCPCS 84311 Spectrophotometry, analyte not elsewhere specified

HCPCS G0481 Drug test def 8-14 classes

G047929%

8257021%

8398618%

8431118%

G048114%

Pennsylvania Distribution in 2016

Procedure Code Description

HCPCS G0481 Drug test def 8-14 classes

HCPCS G0483 Drug test, definitive, 22+ classes

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS H0015 Alcohol and/or drug services; intensive outpatient

HCPCS G0480 Drug test def 1-7 classes

G048129%

G048328%

G047926%

H00159%

G04808%

Pennsylvania Expenditures in 2016

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Procedures Associated with Opioid-Related Diagnoses

Procedure Code Description

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS G0483 Drug test, definitive, 22+ classes

CPT 82570 Creatinine; other source

CPT 83986 pH; body fluid, not otherwise specified

CPT 81003 Urinalysis

G047936%

G048319%

8257016%

8398615%

8100314%

Texas Distribution in 2016

Procedure Code Description

HCPCS G0483 Drug test, definitive, 22+ classes

HCPCS G0479 Drug test(s), any number of drug classes, not optical

HCPCS G0481 Drug test def 8-14 classes

HCPCS G0482 Drug tests, 15-21 classes

HCPCS G0480 Drug test def 1-7 classes

G048351%

G047924%

G048110%

G04829%

G04806%

Texas Expenditures in 2016

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Shared Costs for Everyone

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Interdependencies of Healthcare System

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Interdependencies of Healthcare System

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Covering the Opioid Crisis

American Opioid and Heroin CrisisSeptember 26, 2016

How Insurance Claims for Opioid

Dependence are Skyrocketing

FAIR Health’s recent study of 150

million insurance claims showed

medical services for people with

opioid dependence diagnoses

skyrocketed more than 3,000 percent

between 2007 and 2014. These

“findings illustrate that the opioid

problem is ‘in the general

mainstream,’” Gelburd said in a CNN

report.

Presenter: Robin Gelburd, President

of FAIR Health

How the Opioid Crisis is Showing

Up in Insurance Claims

Presenter: Ali Russo, Chief Information

Officer, FAIR Health

FAIR Health is one of the country’s largest

repositories of data about healthcare, including

health insurance claims. Russo will explain how

opioid addiction is showing up as an alarming

increase in insurance claims for emergency room

visits, laboratory and outpatient visits.

March 3, 2017

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FAIR Health in the News: Opioids

Opioid-related insurance claims

rose more than 3,000 percent

2007 to 2014

Many More People Seek Medical Help For Opioid

Abuse

August 1, 2016

August 1, 2016

Opioid crisis shocker:

Medical services for

dependence diagnoses

spike at over 3,000 percentBy Robin Gelburd

President, FAIR Health

The opioid epidemic is

skyrocketing private

insurance costs

Sep 26, 2016

By Robin Gelburd

President, FAIR Health

August 3, 2017

Study: Health Spending Related To Opioid

Treatment Rose More Than 1,300 Percent

Sep 12, 2016

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FAIR Health in the News: Opioids

In Illinois, opioid abuse hits insurers hard

March 29, 2017

Private insurers in the state see surge

in claims related to opioid addiction

April 5, 2017

Connecticut sees sharp increase in

overdose deaths of young women

March 14, 2017

Trinity Health and Pacira

Pharmaceuticals Announce

Collaboration to Decrease

Opioid Use Nationwide

March 16, 2017

Private insurers see surge in

opioid-related claims

April 14, 2017

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FAIR Health in the News: Opioids

April 12, 2017

August 5, 2016

The Growing Opioid Crisis: Spotlight on New York

Private Claims Data

By Robin Gelburd

Cuomo Pledges $200 Million

To Fight Addiction Amid

Opioid Epidemic

By Robin Gelburd

The Opioid Crisis in Illinois: The

View from Private Claims Data

Insurance claims related to opioid

dependence have risen by 3200%,

US study finds

April 14, 2017

Heroin Overdose

Insurance Claims Jump

1,078 Percent In

Opioid-Plagued Ohio

April 19, 2017

April 10, 2017

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Unlocking Medicare Data Can Enlist Needed Foot Soldiers In The March To Sound Health Care ReformBy Robin Gelburd – April 26, 2017

Bundled Payments And Episodes Of Care: What's NextBy Robin Gelburd – March 30, 2017

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Anatomy of

a White Paper

500+

Media Outlets

International

AttentionTwitter

followers

Facebook

likes

LinkedIn

connections

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Broad Acceptance in the Industry

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Thank You

Robin Gelburd, President

212-370-0704

[email protected]

For more information, visit: • fairhealth.org

• fairhealthconsumer.org / consumidor.fairhealth.org

• Mobile App: FH® Cost Lookup / FH® CCSalud

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