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Socioeconomic status and medical expenditures

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Why and how socio-economic status (SES) should be considered in risk adjustement ... Poor relevance of observed pattern of care to model capitation formulae ... – PowerPoint PPT presentation

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Title: Socioeconomic status and medical expenditures


1
Socio-economic status and medical expenditures
Health Systems Research, Public Health School, UCL
Vincent Lorant
June 2002
Health System Research, Public Health School,
Université Catholique de Louvain
2
Objective
  • Why and how socio-economic status (SES) should
    be considered in risk adjustement model ?

3
Contents
  • Rationale for SES adjustement fairness and
    quality
  • International review of SES adjustement
  • Methodological consideration
  • Indicators to be used

4
Why adjust for socio-economic status ?
  • Horizontal equity SES catches unobserved
    differences in health
  • Vertical equity differences in ability to pay.
  • SES influence the bundle of care
  • For given use of care, lower SES individuals have
    a poorer health outcome

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What other countries do ?
  • In a recent international review 10 countries out
    of 20 included some SES adjustement
  • Employment and welfare had the edge
  • 8 countries adjusted for geographical features
  • SES weights are similar to the morbidity weights
    in the British formula

8
How to adjust for SES ?
  • Separate the income effect from the deprivation
    effect
  • Poor relevance of observed pattern of care to
    model capitation formulae
  • SES at the ecological level should be considered
  • Availability of data is a weak argument

9
  • Summarize your points.
  • State your conclusion. Make it relevant to your
    audience.

10
Spatial autocorrelation of socio-economic status,
health and health care 589 Belgian
municipalities
Source Lorant, Social Science and Medicine, 2001
11
Which SES indicator to use ?
  • Continuous prefered to binary
  • Time-invariant
  • Applying to active and inactive
  • Assessing status and deprivation
  • Educational status and deprivation are good
    choices

12
Recommendations
  • The formula should be designed on expected care
    or on the least unequitable type of care
  • Use more valid and continous SES indicators
  • Models should consider spatial clustering
  • Models aiming not only to avoid cream- skimming
    but also to promote quality of care
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