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Identifying, Categorizing, and Evaluating Healthcare Efficiency Measures

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Title: Identifying, Categorizing, and Evaluating Healthcare Efficiency Measures


1
Identifying, Categorizing, and Evaluating
Healthcare Efficiency Measures
  • Elizabeth A. McGlynn, Ph.D.
  • Associate Director, RAND Health
  • September 28, 2007

2
The Work Was Done by A Multidisciplinary Team
  • Peter Hussey
  • John Romley
  • Han de Vries
  • Margaret Wang
  • Paul Shekelle
  • Dana Goldman
  • Martha Timmer
  • Susan Chen
  • Jason Carter
  • Carlo Tringale

3
Overview of Talk
  • Highlight motivation for current work
  • Present RANDs typology
  • Review existing measures
  • Examples
  • Concluding thoughts

4
Many Fortune 50 Companies Are Demanding Cost and
Quality Metrics on Physicians
Efficient
Effective
5
Purchasers Are Using Efficiency Metrics In
Several Ways
  • Public reporting information to help consumers
    make more cost-conscious decisions
  • Pay-for-performance financial rewards to
    providers with better performance
  • Tiering differential co-payments to encourage
    patients to choose higher performing providers
  • Selective contracting contracts limited to
    providers who perform at a certain level

6
But
  • Little is known about what various stakeholders
    mean by efficiency
  • Considerable lack of common language, conceptual
    clarity
  • Link between content of metrics and proposed
    applications not always thought through
  • Little is known about the consequences (intended
    and unintended) of applying available metrics at
    different levels in the system
  • Can measures developed for one level (health
    plan) be applied at a different level (physician)?

7
Overview of Talk
  • Highlight motivation for current work
  • Present RANDs typology
  • Review existing measures
  • Examples
  • Concluding thoughts

8
Definition of Efficiency Measure
  • The relationship between a specific product of
    the health care system (output) and the resources
    used to create that product (inputs)
  • Maximize output produced for a given input
  • Minimize inputs used for a given output

9
Efficiency Measures Typology Overview
Typology is organized in three tiers
Who is asking what about whom, and why?
1. Perspective
2. Output(s)
What is being produced?
3. Inputs
What resources are used to produce the output?
10
Perspective
  • We identify several potential points of view
  • Health care firms
  • Physicians
  • Hospitals
  • Nursing homes
  • Agents
  • Health plans
  • Employers
  • Individuals
  • Society

11
Context Matters in Efficiency Measurement
12
Use of Information Varies With Perspective
  • Health care firms can change the way the outputs
    are produced
  • Amount and/or mix of inputs
  • Service amenities associated with a product
  • Agents can principally change how much is paid,
    the conditions under which the product is
    purchased, or how the product is bundled
  • Individuals can principally change what they buy
    and from whom

13
Output Whats Being Produced?
  • We define two major categories of outputs
  • Health services
  • Health outcomes
  • Being explicit about the output is critical (and
    often not done)
  • Producers tend to define outputs
  • Financial flows (how the product is purchased)
    influence definitions, for example
  • Hospital day vs. a discharge
  • Quality adjusted life year vs. a covered life

14
Examples of Outputs by Type
15
Inputs
  • We identify two main ways of measuring inputs
  • Physical
  • Financial
  • These map to the economic definitions of
    technical (physical) and productive (financial)
    efficiency

16
Technical and Productive Efficiency
MeasuresPoint to Different Root Causes of
(In)Efficiency
  • Technical Efficiency

Productive Efficiency
Inputs are put to good use
Inputs are put to good use

Best mix of inputs chosen

Lowest prices are paid
17
Social Efficiency
  • Social efficiency is achieved when no member of
    society can be made better off without making
    another member worse off
  • Giving more resources to one person implies that
    those resources have been taken away from someone
    else
  • Appeal of waste is the notion that those
    resources do not benefit anyone currently

18
RANDs Efficiency Typology
Society
Health Care Firms
Perspective
Health Plans
Providers
Purchasers
Individuals
Health Outcomes
Health Services
Output
Input
Physical
Financial
19
Overview of Talk
  • Highlight motivation for current work
  • Present RANDs typology
  • Review existing measures
  • Examples
  • Concluding thoughts

20
Identifying Existing Efficiency Measures
  • Peer-reviewed literature
  • Medline and EconLit search 1990-2005
  • Titles, abstracts, and articles reviewed by 2
    independent reviewers consensus resolution
  • Excluded non-U.S. studies
  • Gray literature review
  • Purposive, reputational sampling
  • 8 vendors identified reviewed

21
Overview of Article Flow
Titles (n4,324)
22
Measures in Literature Dominated by Hospital
Perspective Service Outputs
23
40 Different Physical Inputs Identified in Peer
Reviewed Literature
  • Physician labor number of physicians (usually
    FTEs) or hours worked
  • Nursing labor number of nurses (usually FTEs)
    or hours worked
  • Administrative, technical, or other labor
    categories number of personnel (usually FTEs)
    or hours worked
  • Beds the most common indicator of capital stock
  • Depreciation of assets - a measure of capital,
    calculated in various ways

Financial inputs appear almost as often as
physical inputs
24
No measures using health services as outputs
explicitly incorporated a measurement of
qualityMethods for incorporating or accounting
for quality are not well developed in peer
reviewed literature
25
Different Worlds of Efficiency Measures
  • There is an almost total separation between the
    published studies of health care efficiency and
    the use of efficiency measures by providers,
    payers, and purchasers
  • Academic measures focus on multiple input/output
    models
  • Vendor measures focus on specifying outputs
  • Purchasers and health plans are generally using
    measures developed by vendors
  • Little independent testing of reliability and
    validity has been reported on these metrics

26
Vendor-Developed Measures
  • Episode-based ETGs, MEGs, CCGs
  • Claims aggregated into clinically-defined
    episodes and attributed to different entities
  • Measure is cost per episode (productive
    efficiency)
  • Also can look at resource use per episode
    (technical efficiency)

27
Vendor-Developed Measures
  • Population-based ACGs, DxCGs, CRGs, RRU, PPMS
  • Patient populations weighted by morbidity burden
  • Measure is cost per risk-adjusted patient per
    year (productive efficiency)
  • Also can look at resource use (technical
    efficiency)

28
Overview of Talk
  • Highlight motivation for current work
  • Present RANDs typology
  • Review existing measures
  • Examples
  • Concluding thoughts

29
Some Examples of Efficiency Measures
30
Measures We Wouldnt Classify as Efficiency
31
We Asked What the Evidence Was Regarding Whether
the Measure Was
  • Important
  • Scientifically sound
  • Feasible
  • Actionable

32
Summary of Findings
33
Overview of Talk
  • Highlight motivation for current work
  • Present RANDs typology
  • Review existing measures
  • Examples
  • Concluding thoughts

34
Conclusion
  • Disconnect between academic world and vendors on
    efficiency measurement offers opportunity
  • Although steps have been taken to achieve
    consensus among stakeholders, more work needs to
    be done
  • Typology can assist in structuring more explicit
    discussions about key issues
  • Scientific soundness of both academic and
    vendor-developed measures is largely unknown
  • Ability of potential users to act on the results
    of these measures is not well understood

35
Some Priorities for the Future
  • Be explicit about the perspective, output, and
    inputs used in measure
  • Whats the purpose, approach?
  • Develop measures to fill important gaps
  • When is it most important to incorporate quality
    measures?
  • Measures that use health outcomes as outputs
  • Measures for units of analysis other than
    hospital
  • Evaluate whether efficiency measures are
    scientifically sound, feasible, actionable

36
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