Econometrics of Health Care by Y. Saillard (auth.), G. Duru, J. H. P. Paelinck (eds.)

By Y. Saillard (auth.), G. Duru, J. H. P. Paelinck (eds.)

Econometrics of wellbeing and fitness Care - which we've got also known as 'medico­ metrics' - is a box in complete growth. the explanations are quite a few: our knowl­ fringe of quantitative relatives within the box of wellbeing and fitness econometrics is way from being excellent, a lot of analytical problems - combining scientific (latent elements, e. g. ) and financial evidence (spatial behaviour, e. g. ) are confronted by means of the examine employee, scientific and pharmaceutical concepts swap speedily, clinical expenses rocket greater than proportionally with on hand assets, of being tightened. scientific budgets are within the procedure So it isn't magnificent that the perform of 'hygieconometrics' - to supply a neologism - is increasingly more integrated within the programmes of econometri­ cians. The utilized Econometrics organization has dedicated to the subject symposia in below 3 years (Lyons, February 1983; Rotterdam, December 1985), with no experiencing any problems in getting precious papers: on econometrics of hazards and medical health insurance, at the dimension of health and wellbeing prestige and of potency of clinical thoughts, on basic versions permitting simulation. those have been the subjects for the second one assembly, yet different facets of medical-economic difficulties had awarded themselves already to the analyst: clinical choice making and its effects, the behaviour of the actors - sufferers and physicians -, local medicometrics and what now not: a few of them were coated via the 1st assembly. eventually, in July 1988 happened in Lyons the Fourth foreign convention on approach technological know-how in overall healthiness Care; it may no longer be staggering .

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7. 8. 9. 10. 11. 12. 1. Guaranteed access 2. Convenient hours 3. Convenient location 4. Recommended by friend 5. 24 hr emerg. care 6. 92 Quality of care Medical attention Importance of Table 6. Average values of attitude variables for families. ) VJ ~ 2 "- §. ~ C1:> l:l.. ~ "I l:l ~ ;:s l:l.. ~. ~ .... §. l:l .... 38 J. van der Gaag and Barbara L. Wolfe Table 7. " Variable Factor 1 (quality) Factor 2 (cost) Factor 3 (convenience) Guaranteed access Convenient hours Convenient location Recommended by friend 24 hr emerg.

The total number of visits of adults scoring high on ATIITI ('Quality') is slightly below average, but the other attitude factors show no effect. We also find two familiar results: women show higher utilization rates than men, and individuals living in large families show a lower number of visits than members of small families. We finally note that our availability measures do not show any significant impact on utilization. The measurement errors inherent in the way we constructed these variables might have caused this result.

HII = a1tXI (6 a) (6b) The expected value of HII equals E(HIIIX) = aItXI + 7i3t X 3 (6c) 26 W. P. M. M. van de Yen and E. M. Hooijmans Table 1. The MIMIC-HSI per province. For the choice of zerobase (d) and unit of measurement (c), see Hooijmans and Van de Ven(1982). 02 0 0 where we used 0tfJ3 = Tt3t (from (3d». The difference in expected value between region A and B then reads E(HIIIXA) - E(HIlIXB) = alt(Xt - Xf) + Tt3t (Xf - Xn. (6d) From (6d) we conclude that Tt31 (Xt - Xn equals the difference in the expected GP-density between region A and B while only accounting for differences in health determining factors between A and B; alt(Xt - Xf) is the difference while only accounting for differences in other factors (Xl).

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