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©2014 MFMER | slide-1 ©2014 MFMER | slide-1 Healthcare Reform and Hematology The Value of a Laboratory & Pathology Utilization Program Curtis A. Hanson, M.D.

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©2014 MFMER | slide-1 ©2014 MFMER | slide-1

Healthcare Reform and Hematology The Value of a Laboratory & Pathology Utilization

Program

Curtis A. Hanson, M.D.

©2014 MFMER | slide-2

DISCLOSURES:

Relevant Financial Relationship(s) None

Off Label Usage

None

©2014 MFMER | slide-3

Laboratory Test Utilization Definition • A strategy for performing appropriate laboratory

and pathology testing with the goal of providing high-quality, cost-effective patient care

• Laboratory tests in the USA, including pathology: • $60 - $70 billion; ∼4% of healthcare costs • Conventional wisdom is that 20 to 40% of laboratory

testing is unnecessary • 20-25% increase annually in molecular/genetics • Molecular / Genetics is 15% of laboratory costs;

anticipated to reach 25% soon • Largest growth: proprietary tests, genetic tests, and

test bundling

©2014 MFMER | slide-4

“Medicine is a science of uncertainty and an art of probability.”

Dr. William Osler (1849 – 1919)

“Information is the resolution of uncertainty.”

Dr. Claude Shannon (1916 – 2001)

©2014 MFMER | slide-5

The Philosophical Challenge with Clinical Laboratory Utilization • How can we help our clinicians deal with the reality of

“uncertainty” with laboratory and pathology testing?

• Medicine is all about being comfortable with degrees of uncertainty

• You can never get to “zero” uncertainty

• There is always “one more test” you can do – “one more disease” to rule out

• We must use our clinical and laboratory knowledge to help lower the anxiety of uncertainty

• Remember: Data and information are our friends and evidence is our trump card

©2014 MFMER | slide-6

The Practical Challenge with Laboratory Utilization • It is critical for pathologists and laboratorians to understand

the clinical problem. Pathologists have to be clinicians!

• Deep knowledge of diseases and awareness of clinical issues in addition to analytical/laboratory management expertise is a “must have” in today’s laboratory world.

• We must change the question that comes from our clinicians:

• Do you do test XYZ? No!

• Can you help me solve this clinical problem? Yes!

©2014 MFMER | slide-7

How does utilization fit into our

current healthcare environment?

©2014 MFMER | slide-8

Healthcare Delivery is Changing • More and more primary care is being performed by non-

physicians in non-traditional settings – which can offer superior IT, access and location.

• Employer / Insurer Market Transformation – examples • High Deductible Plans paired w/ HSA • Public Exchanges • Direct Contracting between employers and providers • Private Exchanges

7,600+ locations 4,700+ locations 8,600+ locations

©2014 MFMER | slide-9

“UnitedHealth, doctors study way to lower cancer treatment costs”

• “In a study, per-patient lump payments to doctors and better monitoring led to a reduction in the price tag for treatments. The costs of cancer care fell 34 percent in a study in which UnitedHealth Group Inc. paid doctors a lump sum to treat each patient rather than for each drug or service the doctors provided.”

• 810 patients with breast, lung and colon cancer were treated. Drug markups were eliminated and replaced with flat, per-patient fees that varied for each type and stage of cancer.

• Five medical groups using the per-patient payments spent $64.8 million over the three-year study, compared with estimated costs of $98.1 million under the per-treatment payments – ~$40,000 per patient.

• Chemotherapy costs for patients increased during the study. Other costs, such as for hospitalization or therapeutic radiology, went down.

• UnitedHealth gave doctors information on their spending and the use of certain procedures, as well as how often patients were hospitalized.

• Star and Tribune (Minneapolis): July 14, 2014 • Journal of Oncology Practice: May 2014; 10(3): 187-189

©2014 MFMER | slide-10

Do we have utilization issues in

medicine – including hematology?

©2014 MFMER | slide-11

Dartmouth Atlas of Healthcare

Geographic Variation in Patient Care

©2014 MFMER | slide-12

A Bone Marrow Study

BM morphology Immunohistochemical stains Flow cytometry T-cell gene rearrangement

studies

Cytogenetic karyotype BCR-ABL1 FISH MDS FISH Gene array analysis JAK2 V617F JAK2 exon 12 sequencing MPL exon 10 sequencing

Laboratory assays performed:

Patient comes to Mayo; outside work-up; straight forward diagnosis of a myeloproliferative neoplasm: primary myelofibrosis

© 2010 Mayo Foundation for Medical Education and Research. All Rights Reserved.

Utilization: Heme-Associated Assays

Assay Utilization Guideline MCR Data

JAK2 V617F Blood and bone marrow are equal 1624 ordered over 3 yrs

JAK2 exon 12 Only possible PV and JAK2V617F is negative 42% over-ordered 10% under-ordered

MPL exon 10 Only possible MPN with equivocal morphology 38% over-ordered 5% under-ordered

Chromes - lymphoma staging Only useful if unexplained cytopenias 31% over-ordered

MDS FISH Only if <20 metaphases or cytogeneticist needs 68% over-ordered

KIT 816V - blood Negative in SM; use only if heme-associated SM 95% over-ordered

B- and T-cell lymphoma FISH – blood and marrow Only to follow morph and flow studies 73% over-ordered

T-GR – blood and marrow Only in context of T-cell phenotyping studies 43% over-ordered

B-GR – blood and marrow Almost never useful 98% over-ordered

PML-RARA FISH Not useful in follow-up APL 27% over-ordered

CLL FISH Only useful in CLL 15% over-ordered

Plasma cell FISH Not useful if no monotypic plasma cells 13% over-ordered

© 2010 Mayo Foundation for Medical Education and Research. All Rights Reserved.

©2014 MFMER | slide-14

Why do we have laboratory

utilization issues?

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• Realities of practice • Knowledge gap • Marketing • Litigation fear • $$$ incentives

• Fee for service • $$$ incentives • EMR / IT • Coding systems

• Lab systems and processes

• Ordering systems • Test names • Test bundles • $$$ incentives • Patents

• “More” is better • Google • Dissatisfaction with healthcare

• Marketing • Societal demands

Utilization

Why Do We Have Utilization Issues?

Providers

Clinical Labs Patients

Health Systems

©2014 MFMER | slide-16

Why Do We Have Laboratory Test Utilization Issues?

• Knowledge gap between clinicians and how to use today’s increasingly complex laboratory assays

• Patients with particular diseases may not see that disease subspecialist

• Clinical knowledge, when a test is ordered, is incomplete. The clinician is compelled to order everything as it may be the only chance get that information.

• Initial laboratory and pathology studies can help narrow the diagnostic choices and testing needs. But if laboratories don’t have a review and ordering process in place, clinicians have no choice but to order excess testing.

• Fee for service does not encourage appropriate use

©2014 MFMER | slide-17

How do we address laboratory

utilization issues?

©2014 MFMER | slide-18

How Do We Get Started? • Identify your target tests • Understand clinical needs and know your finances • Identify your strengths and weaknesses • Know your people resources: Pathologists,

technologists, genetic counselors, etc. • Identify your champions: Laboratory, clinical, and

leadership • Know what your IT system(s) can and cannot do for you • Don’t be afraid to use manual solutions for high cost

tests • Don’t aim for “perfection” – any progress is good

progress!

©2014 MFMER | slide-19

Utilization Management Tools • Provide clinician education – albeit little lasting impact • Obsolete certain tests

• Examples: Bleeding time, band counts, etc. • Establish gatekeeper functions

• Identify tests that require laboratory review • Restrict the frequency of specific tests

• Focus on hospitalized patient • Review admission and treatment templates

• Look for redundancies and test frequency • Use order entry pop-ups and online decision support tools • Use physician profiling or report cards as feedback • Develop a test formulary for complex and hi-cost tests

©2014 MFMER | slide-20

Test Names Contribute to Utilization Mistakes

• BCR/ABL, Translocation 9;22, FISH (D-FISH)

• BCR/ABL, p190, mRNA Detection, Reverse Transcription-PCR (RT-PCR), Quantitative, Monitoring Assay

• BCR/ABL, mRNA Detection, Reverse Transcription-PCR (RT-PCR), Qualitative, Diagnostic Assay

• BCR/ABL, p210, mRNA Detection, Reverse Transcription-PCR (RT-PCR), Quantitative, Monitoring Chronic Myelogenous Leukemia (CML)

• BCR/ABL, Tyrosine Kinase Inhibitor Resistance, Kinase Domain Mutation Screen

©2011 MFMER | slide-20

©2014 MFMER | slide-21

Unbundle Your Laboratory Tests Flow cytometry: Mayo uses a triage approach

• 8 antibodies to screen for B-cell clonality, increase in blasts, and abnormal T-cell phenotype

• Results drive whether to stop or to add more disease specific antibodies

• 80% of our flow requests stop at the triage step

• Integrate with morphologic features, previous or concurrent studies, and any provided or known clinical history

• Don’t use the “shotgun” approach with every possible antibody

©2014 MFMER | slide-22

Data source: commercial insurance payer, 2009 calendar year

Cost Depends on Number of Antibodies Used

Cost drivers

$ p

er w

orku

p

Copy of slide Tait JF, Astion ML, Mandel AN, Bryt AB, unpublished data University of Washington, and CareCore National Inc.

Mayo

©2014 MFMER | slide-23

Send-and-Hold Process

• Offer “Send-and-Hold” tests to be sure that the right

specimens get drawn, but requests are then reviewed

in the lab or driven by initial test results

• Be clear that labs and clinicians know how long a

specimen will be held (i.e., validated) for those cases

in which an incorrect decision gets made

• Build systems that allow for sequential testing as part

of an algorithmic process

©2014 MFMER | slide-24

Send-and-Hold Examples • Flow cytometry in a lymphoma staging

• Wait for bone marrow morphology

• Cytogenetics in a lymphoma staging

• Wait for bone marrow morphology

• T-cell gene rearrangements for cytopenia

• Wait for flow cytometry results

• AML molecular prognostics (cytogenetic negative)

• Wait for cytogenetic results

• Plasma cell FISH in a MGUS evaluation

• Wait for flow cytometry results

©2014 MFMER | slide-25

Send-and-Hold: A Real-Life Example

• Average size hospital on east coast • Data is from YTD 2014 • Send-and-hold used for chromosome and FISH studies

requested on bone marrows and sent to Mayo • Chromosome requests

• 47% of chromosome studies were canceled • Est. annual savings = $41,400

• FISH requests • 50% of FISH studies were canceled • Est. annual savings = $8820

©2014 MFMER | slide-26

Laboratory Test Algorithms and Guidelines • Four types of algorithms:

• IT-driven: Clinical input and information drive what testing gets ordered or not

• Laboratory-driven: Laboratory results drive subsequent test selection. Testing is performed by laboratories using available specimens; specimens are shared between labs

• Pathologist-driven: Review of pathology findings determine next steps in testing algorithms; cancel or add appropriate next steps

• Genetic Counselor-driven: Review of genetic test requests require genetic experts with laboratory knowledge; make phone calls to add or cancel testing

©2014 MFMER | slide-27

Order is processed

Lab performs

test

Lab sends results

MD interprets

test

MD acts on the results

MD requests

tests

The Patient

© 2010 Mayo Foundation for Medical Education and Research. All Rights Reserved.

Utilization efforts need to focus here! IT solution:

Time of order

Manual solution: In the lab

©2014 MFMER | slide-28

Method

• Identify opportunities • Review practice data and

literature • Derive recommendations • Achieve consensus • Final guidelines approved • Design process and

implement • Audit and adjust

algorithms

2 Differential Diagnosis Generated

3 Tests Ordered

4 Morphology Review

5 Differential Diagnosis Refined

6 Algorithm Consulted Test Order Refined

Collaborative Process for

Optimizing Test Utilization

1 Patient Evaluated

©2013 Mayo Foundation for Medical Education and Research. All rights reserved.

©2014 MFMER | slide-30

Progress! • Complete

• Lymphoma staging bone marrows

• Chronic lymphocytic leukemia

• Evaluation of plasma cell proliferative disorders

• Chronic myeloid leukemia diagnosis & follow up

• Evaluation of myeloproliferative neoplasms

• Evaluation of myelodysplastic syndromes

• Acute myeloid leukemia

• Acute promyelocytic leukemia diagnosis & follow up

• Eosinophilia/mast cell disorders

©2014 MFMER | slide-31

http://www.mayomedicallaboratories.com/media/articles/algorithms/mpn-bonemarrow.pdf

©2014 MFMER | slide-32

Assay # tests canceled Assay # tests canceled

Chromosomes 595 Imatinib FISH 13

BCR-ABL FISH 65 CHIC2 FISH 1

PCPD FISH 331 B-GR* 8

CLL FISH 9 T-GR* 35

B-lymphoma FISH 12 JAK2 V617F 98

T-lymphoma FISH 23 JAK2 exon 12 32

MDS FISH 65 MPL exon 10 8

AML FISH 50 KIT 26

ALL FISH 19 CSF Flow studies* 254

2013 summary: 1462 tests canceled; cost savings = $822,529.51

Algorithm and Guideline Impact on Test Ordering in Hematopathology: 2013

©2014 MFMER | slide-33

Chromosome Analysis – Utilization Review

Original Post-Utilization Implementation

% of total BMs

Abnormalities per 100 BM

% of total BMs

Abnormalities per 100 BM

Mayo Rochester 51% 20

Hospital C 95% 21 42% 21

$600,000 annual cost savings

©2014 MFMER | slide-34

Optum Labs: Bone Marrow Case Study

Below are the results of a study conducted by Optum Labs with Mayo Clinic data.

Disease or Diagnostic Group Patients who underwent bone marrow biopsy/aspiration

Test Pathway Flow and chromosome testing

Impact of Guideline Reduction in cost of testing per case

Cost Savings Per Case $1,214 (USD)

Incidence of Disease 700,000 bone marrow biopsies in U.S. per year, incidence in U.S. therefore at 0.22%

$ Impact Per 100,000 Lives $267,162 (USD)

©2014 MFMER | slide-35

Questions & Discussion