The Effects of Delisting Publicly Funded Health Care Services PowerPoint PPT Presentation

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Title: The Effects of Delisting Publicly Funded Health Care Services


1
The Effects of De-listing Publicly Funded Health
Care Services
  • Mark Stabile
  • Department of Economics and
  • Center for Economics and Public Affairs
  • University of Toronto
  • and
  • NBER
  •  
  •  
  • Courtney Ward
  • Department of Economics
  • University of Toronto
  • Thank you to Mary Unsworth for excellent research
    assistance.

2
Which services do we fund?
  • Governments that finance health care services are
    continually in a position of trying to determine
    what to include in their basket of publicly
    funded health care.
  • Do we fund new, often expensive technology, AND
    all existing services?
  • E.g. 2004 Ontario budget

3
Public Response
  • Any time a government decides to stop funding
    services it faces a host of criticism.
  • Providers of those services will naturally be
    critical.
  • Critics of privately financed health care systems
    will claim that any de-listing is the start of a
    decline in publicly funded health care.
  • Critics suggest that individuals may move from
    preventative to acute care, eventually increasing
    costs.

4
Evidence?
  • Usually not cited.
  • May not be available before hand.
  • Reason to have greater program evaluation.
  • Motivation for this paper.

5
All things to all people?
  • De-listings recognize that public health care
    systems are not in a position to offer all health
    services to all people.
  • Even if it were possible, tax burden would be too
    high wouldnt remain competitive in other
    areas.
  • Need to consider opportunity cost of decisions.
    Including those outside health e.g. education and
    social services.

6
Role of the public insurance program
  • As the technology of health care delivery
    continues to evolve, some services once deemed
    effective and necessary may no longer be
    cost-effective to provide.
  • Any insurance program, public or private, must
    continually evaluate which services it will fund
    and which services it will not fund.

7
Trade-off faced by government.
  • Can fund as broad a range of services as possible
    and ration availability.
  • Or, can focus on core, medically necessary
    services and use partial or full private
    financing to fund the remaining services.
  • Single payer system for ALL services will
    necessarily involve a quantity-quality trade-off,
    either within health or across the public service
    more broadly. We are seeing this now.
  • Canadas system originally defined as the second
    (too rigidly) and is moving towards the first.

8
De-listing services
  • We argue that governments therefore must consider
    de-listing some services.
  • At least 4 things we would like to know as we
    consider de-listing services (necessary but not
    sufficient)
  • Medically beneficial and cost effective ?
  • How does de-listing alter the demand for the
    service?
  • How desirable is this demand response?
  • Are there differences in the demand response
    across individuals and should this inform policy?

9
Contributions of this paper
  • Provide some evidence regarding points 2 and 4.
  • Partial or full delisting of services have
    occurred frequently over the past 15 years across
    the 10 provinces.
  • Exploits variation in de-listings across the
    provinces to provide empirical estimates of the
    behavioural response.
  • Evidence is a first step towards understanding
    the longer term consequences of delisting
    services.

10
Services we investigate
  • Four types of health professionals
  • Physiotherapists
  • Speech therapists
  • Optometrists
  • Chiropractors
  • Characterize any decrease in public coverage for
    these services as a delisting (e.g. lower
    reimbursement, reduce frequency, etc).

11
De-listings across provinces
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Empirical Methods
  • Graphical analysis of changes in mean service
    use.
  • Econometric analysis of decision to use any
    services and number of services used.
  • Control for differences in service use over time.
  • Control for difference in service use between
    provinces.
  • Control for observable characteristics of the
    population.
  • Remaining variation here is within provinces over
    time.

13
Data Used
  • 2 data sources
  • NPHS 1994, 1996, 1998
  • CCHS 2000
  • Each contain info on service use for all 4 areas
    we investigate
  • Each contain info on province, and health,
    education, income, and demographics.

14
Graphical Results - Quebec
15
Ontario
16
Manitoba
17
Alberta
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Why might we observe this?
  • Strong trends in use over time?
  • Changes in demographics or income?
  • Other changes in prices?
  • Private Health Insurance?
  • Some of these issues can be resolved using
    multivariate estimation.

19
Multivariate Results
  • Findings, other variables
  • Income gradient for any use of most services,
    not speech therapy, no real gradient for number
    of visits.
  • Education strong gradient by education for any
    use of all services, much less so for number of
    visits.
  • Age strong positive correlation for
    physiotherapy and chiropractor, less so for other
    services.

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Findings De-listings
  • Effect of de-listings on the probability that you
    use the service at all
  • Physiotherapist negative
  • Optometry negative
  • Speech Therapist positive
  • Chiropractor none

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Findings De-listings cont.
  • Effect of de-listings on the use of services for
    people who go at least once in the year
  • Physiotherapist positive
  • Optometry none
  • Speech Therapist positive
  • Chiropractor negative

22
Explanation for strange results?
  • Hypothesis
  • Low supply with effective price of zero causes
    shortages.
  • With positive prices fewer people use services.
  • Individuals who are most needy increase their use
    as shortages ease.

23
Findings by Income (gt30,000)
  • Any visit none
  • Number of Visits
  • Physiotherapist increase is concentrated among
    low income!
  • Optometry decrease concentrated among low income
    use
  • Speech Therapist no difference by income
  • Chiropractor none (decrease slightly
    concentrated among low income)

24
By age youth
  • Only really see an effect for physiotherapy where
    kids under 20 were less likely than average to
    use services following delisting.
  • (Small positive effect for chiropractors).

25
By age elderly
  • Again, only find results for physiotherapy where
    elderly as less likely to use any services than
    the average.

26
Note on elderly
  • Target needy elderly instead of all elderly
  • More effective with means testing instead of age
    testing.
  • Our results present some evidence consistent with
    this, though not entirely.
  • Consumption versus Investment strategy

27
Conclusions
  • We outline four areas of research that should be
    required to make informed policy decisions about
    de-listing.
  • We provide evidence on 2 of these areas in the
    context of recent provincial de-listings.
  • Find that de-listings did affect utilization, but
    that this effect was not uniform across services
    or populations.

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Conclusions Cont.
  • For example, while the demand for physiotherapy
    and eye exams decreased, the demand for speech
    therapy services, and chiropractic services
    increased in some cases.
  • Nor did people adjust along all margins. E.g.
    while the number of people using any
    physiotherapy services decreased, the number of
    visits among those who did use physiotherapy
    services increased.

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Conclusions Cont.
  • Some differences across services by age and
    income.
  • Results suggest that policy makers should be
    aware that the demand response differs
    significantly by service and by individual
    characteristics. This information should be
    considered as services are considered for
    (continued) public funding.
  • Further research is required to determine whether
    changes in demand across services and across the
    population results in long term benefits or costs
    in health outcomes.
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