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Making Progress in Health and Health Care

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Title: Making Progress in Health and Health Care


1
Making Progress in Health and Health Care
  • how do we know we are making progress?
  • need to distinguish two broad domains
  • progress in population health
  • progress in health care services

Michael Wolfson, Statistics Canada Denise
Lievesley, UK NHS and ISI
2
Worlds Two Most Widely Used Health Indicators
  • Life Expectancy ( other indicators based on
    mortality rates, e.g. infant mortality)
  • good as far as it goes clearly fundamental
  • but leaves out how healthy people are while alive
  • Health Care Spending as of GDP
  • very poor indicator
  • is more spending better or worse?
  • focuses on inputs to health care, rather than
    results
  • We can and should do better for our most basic
    measures of progress in health and health care

3
How do we know we are making progress in
population health?
  • currently, a plethora of indicators
  • often a failure to distinguish health from
  • antecedents, e.g. risk factors like smoking,
  • correlates, e.g. bio-medical parameters like
    blood pressure, and
  • sequalae, e.g. social participation like work,
    mortality
  • simple idea HALE health-adjusted life
    expectancy
  • builds on already very widely use measure, life
    expectancy
  • progress adding years to life and/or adding
    life to years

4
Basic Definitions
  • LE area under survival curve
  • HALE weighted area under survival curve
  • where weights are levels of individual health
    status, ranging between zero (dead) and one
    (fully healthy)

5
UK LE and HALE (Simpler Method)
6
Measuring Functional Health Status in a Population
  • examples McMaster Health Utility Index, Euroqol
    EQ-5D, WHO World Health Survey
  • define a set of health domains
  • develop a parsimonious set of survey questions to
    elicit levels of functioning for each domain, and
    collect data for a representative sample
  • Budapest Initiative
  • apply a systematic method for eliciting values
    for various health states for another, typically
    smaller, sample
  • estimate a valuation function

7
Changes in Life Expectancy (LE) and
Health-Adjusted Life Expectancy (HALE) by Cause,
Canada
HALE
LE
(Source Manuel et al, ICES and Health Canada,
NPHS)
8
Progress in Levels and in Differences Health
Inequality
  • old (statistical) adage beware of the mean
  • HALE is fundamental for measuring overall
    progress in population health analogous to
    size of the pie in income analysis
  • but HALE itself says nothing about how the pie
    is divided about the distribution of health
    within a population

9
The Concept of Health Inequality
  • concept of health inequality is different
  • income inequality is univariate
  • e.g. what share of income goes to the top 1
    how many individuals are living on less than 1
    per day?
  • health inequality is bivariate, i.e. about
    correlations, especially systematic associations
    with socio-economic status
  • e.g. how does health (HALE) vary from one region
    in a country to another
  • how steep is the gradient i.e. how much does
    health status improve as we move up the social
    ladder within a country

10
Life Expectancy (LE) and Health-Adjusted Life
Expectancy (HALE), Canada 2001
at birth
at age 65
males
females
at birth
at birth
income terciles (thirds)
11
An Almost Familiar World Map
www.worldmapper.org cartogram algorithm Mark
Newman
12
Area Proportional to Population
www.worldmapper.org cartogram algorithm Mark
Newman
13
Area Proportional to GDP 2002
www.worldmapper.org cartogram algorithm Mark
Newman
14
Area Proportional to HIV(prevalence ages 15 49)
www.worldmapper.org cartogram algorithm Mark
Newman
15
Area Proportional to Unhealthy Life(LE HALE,
based on WHO estimates)
www.worldmapper.org cartogram algorithm Mark
Newman
16
National Income and Health, Correlated
?(Sources HALE WHO GDP World Bank)
HALE
GDP per capita, US at PPPs, 2002
17
How do we know we are making progress in health
care?
  • this is a far more popular question than progress
    in population health, but also not nearly so
    fundamental
  • simple reason there is far more to the
    determinants of health than health care e.g.
    poverty, lifestyle, hierarchy
  • progress in health care health care
    interventions ? improved health of individuals
    treated
  • n.b. most interventions are not well evaluated

18
Definition - Health Outcome
health outcome ? change in health status
attributable to a health intervention (for
an individual)
19
How NOT to Know Whether We are Making Progress in
Health Care
  • try to use SNA (System of National Accounts)
    concepts to measure health care outputs
  • try to apply macro-economic concepts of aggregate
    productivity to the health care sector

20
SNA Approach Treat Public Sector Activities the
Same as the Private Sector ? Define (i.e. make
up) Outputs
???
Profits
Outputs
Inputs
Public Sector
Commercial Sector
Industries
21
Why the SNA Approach is Problematic
  • outputs do not exist naturally in publicly
    provided health care
  • we certainly can count activities, like numbers
    of vaccinations (probably all useful) and numbers
    of coronary procedures (see later slide!)
  • but outcomes of interventions should clearly be
    the objective of systematic and routine
    measurement
  • productivity is obviously important
  • but high productivity in doing useless or
    iatrogenic activities is bad
  • remember the three Es efficacy,
    effectiveness, and efficiency no point
    measuring efficiency unless we know efficacy and
    effectiveness

22
(Tu et al on Coronary Surgery)
n.b. virtually no differences in one year
survival but no data on differences in
health-related QoL
e.g. almost 17x, with no benefits?
23
Heart Attack Patients in Large Health Regions
Treatment and 30 Day Mortality Rates ()
1995/96 to 2003/04
24
What Does this Graph Tell Us?
  • we may be missing important data
  • treatments e.g. nothing on thrombolysis, post
    AMI medication and rehabilitation
  • Framingham risk factors smoking, obesity,
    physical activity
  • other risk factors income, chronic stress
  • (n.b. age, sex and comorbidity included)
  • health care is driven by opinions
  • clinical judgment is not well-informed by
    rigorous and systematic evaluation
  • health system managers have no empirical bases
    for judging the effectiveness of their activities
  • aggregate SNA style measures of productivity
    miss the real issues

25
Concluding Comments
  • need to measure both progress in population
    health and in health care
  • for population health HALE is fundamental
  • for health care outcomes are fundamental
  • for both a common metric for measuring
    individual health status is essential propose
    Budapest Initiative short form questions (along
    with items covering many other facets of health)
  • using basic health information principles
  • incentive compatibility providers of crucial
    health information should have a stake
  • empowerment information should enable both
    general public and providers (as well as health
    system managers) to improve outcomes / quality
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