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4.
Eur J Health Econ ; 4(2): 85-9, 2003.
Article in English | MEDLINE | ID: mdl-15609173

ABSTRACT

We examined the number of days spent in hospital due to a relapse of schizophrenia and the associated costs for patients treated with olanzapine or haloperidol. Twenty-one German psychiatric hospitals participated in this retrospective study. Data on the last hospitalisation following a relapse of schizophrenia were documented for equal numbers of patients on olanzapine and haloperidol. Matching for time since diagnosis and severity of symptoms was performed. Data were collected on 136 matched pairs. Total length of time spent in hospital was the same on average for patients in both groups (median about 5 weeks), but olanzapine patients spent nearly 1 week less in the in-patient setting than haloperidol patients, resulting in a saving of Euro 411 per patient. Our findings are consistent with those of randomised clinical trials in concluding that olanzapine is preferable to haloperidol in terms of the direct cost of treating schizophrenia.

5.
Health Econ ; 9(7): 623-30, 2000 Oct.
Article in English | MEDLINE | ID: mdl-11103928

ABSTRACT

This paper discusses the definition, interpretation and computation of cost-effectiveness (CE) acceptability curves. A formal definition of the CE acceptability curve based on the net benefit approach is provided. The curve can be computed using parametric or non-parametric techniques and for both computational approaches we establish a formal relation between the CE acceptability curve and statistical inference based on confidence intervals and P values in CE analysis.


Subject(s)
Cost-Benefit Analysis/statistics & numerical data , Health Services Research/statistics & numerical data , Models, Econometric , Data Interpretation, Statistical , Fees and Charges , Health Services Research/economics , Health Services Research/methods , Humans , Probability , Statistics, Nonparametric
6.
J Health Econ ; 19(4): 461-75, 2000 Jul.
Article in English | MEDLINE | ID: mdl-11010235

ABSTRACT

This paper examines stationarity and cointegration of health expenditure and GDP, for a sample of 21 OECD countries using data for the period 1960-1997, by applying a test battery that allows robust inference to be made on the stationarity and cointegration issue. Trend stationarity and no-cointegration are tested using new country-by-country and panel tests, not previously applied in this setting. New results for country-by-country and panel tests of non-stationarity and cointegration are presented. Our unit root and trend stationarity results indicate that both health expenditure and GDP are non-stationary. The no-cointegration and cointegration results indicate that health expenditure and GDP are cointegrated.


Subject(s)
Developed Countries/economics , Health Expenditures/statistics & numerical data , Health Services Research/methods , Data Interpretation, Statistical , Health Services Research/statistics & numerical data , Models, Econometric , Regression Analysis , Research Design
7.
Health Econ ; 8(2): 151-64, 1999 Mar.
Article in English | MEDLINE | ID: mdl-10342728

ABSTRACT

This paper has two purposes. The first purpose is methodological and aims to extend previous work on efficiency analysis by implementing a multiple-output stochastic ray frontier production function model. This model generalizes the single-output stochastic frontier model to multiple-input, multiple-output technologies and allows simultaneous estimation of technical efficiency and analysis of influential variables on efficiency. The second, empirical, purpose is to test for existence and magnitude of the effect of purchaser/provider split combined with new reimbursement schemes on technical efficiency in the Swedish public hospital system. The analysis is carried out with a panel data set covering the total population of 26 Swedish County Councils from 1989 to 1995. Our empirical results support the frontier model specification and indicate that output-based reimbursement improves technical efficiency. The potential saving in costs due to a switch from budget-based allocation to output-based allocation is estimated to be almost 10%.


Subject(s)
Efficiency, Organizational , Health Care Sector , Hospitals, Public/economics , Models, Economic , Reimbursement, Incentive/statistics & numerical data , Stochastic Processes , Adult , Aged , Economic Competition , Health Care Sector/standards , Hospitals, Public/standards , Humans , Local Government , Middle Aged , Politics , Prospective Payment System/statistics & numerical data , Statistics as Topic , Sweden
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