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Comparability of Health Care Responsiveness in Europe

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(1) (2) = DIF or 'reporting style bias' ... international differences in response style (DIF) ... This correlation is better when DIF is corrected ( R , slope) ... – PowerPoint PPT presentation

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Title: Comparability of Health Care Responsiveness in Europe


1
Comparability of Health CareResponsiveness in
Europe
  • Nicolas Sirven (IRDES)
  • Brigitte Santos-Eggimann (IUMSP)
  • Jacques Spagnoli (IUMSP)

2
Rationale
  • Health care responsiveness
  • the extent to which the process of care
    delivery matches patients expectations (Murray
    et al., 2004)
  • Evaluating health care systems by asking people
    about their own experience (subjective statement)
  • ? cultural differences make comparisons
    difficult
  • Vignette method to correct for response style
    bias is currently applied in WHO survey (King et
    al., 2004)
  • COMPARE What can we learn from 50 in Europe?

3
Example Time to wait
  • Own experience
  • In many countries, it takes time before people
    can see a specialist and there are waiting lists
    for certain procedures.
  • Overall, in your situation, how would you rate
    the amount of time you have to wait for medical
    treatment?
  • Very short Short Reasonable Long
    Very long
  • Vignette (common situation)
  • Jim has a stomach problem, which causes a lot of
    pain and requires surgery. He is immediately
    admitted to hospital and constantly monitored and
    his pain is relieved with strong pain-killers,
    but because the problem is not life threatening,
    he has to wait four days before surgery takes
    place.
  • Overall, how would you rate the amount of time
    Jim has to wait for medical treatment?
  • Very short Short Reasonable Long
    Very long

x
x
4
Data Method
  • SHARE Wave 2, cross-sectional analysis (v.1.0)
  • Health Care Responsiveness (scaled 1-5)
  • Time to wait for medical treatment
  • Conditions of the health facilities
  • Communication with physicians
  • Vignette 1 (Ngt6,000 individuals)
  • CHOPIT estimates for each domain (Stata gllamm)
  • Covariates
  • Gender, Age, Education
  • Health (IADL, Euro-D, Smoke Drink)
  • Country dummies
  • Thresholds modelled with the same covariates

5
Cross-country comparisons
  • Counterfactual simulations for the whole SHARE w2
    sample
  • (1) self-assessment as it would be observed for
    the whole population, taking into account
    socio-economic characteristics
  • (2) same self assessment if everyone would
    understand the question like people in a
    benchmark country (e.g. Germany)
  • (1) (2) DIF or reporting style bias
  • Exploring comparable international differences in
    health care responsiveness with
  • Satisfaction Balance statistic ( good, very
    good) ( bad, very bad)
  • Public expenditures on health per capita (USD at
    2000 PPP rates)
  • ? detailed results on www.irdes.fr, working
    paper DT15

6
Satisfaction with Time to wait for treatment
7
Satisfaction with Conditions of the health
facilities
8
Satisfaction with Communication with doctors
9
Conclusion
  • Our results show international differences in
    response style (DIF)
  • Correction for response style bias suggest that
  • Time to wait for medical treatment ?
    overestimated
  • Conditions of the health facilities ?
    underestimated
  • Communication with physicians ? underestimated
  • Comparable differences in cross-country health
    care responsiveness indicates that satisfaction
    is associated with public expenditures
  • This correlation is better when DIF is corrected
    (? R², ? slope)
  • Each euro spent increases satisfaction in
    conditions of the health facilities and
    communication more than we thought
  • Vignettes help understand better health
    differences in Europe

10
Thank you
  • Correspondence to Nicolas Sirven
  • sirven_at_irdes.fr
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