The risk adjustment model currently used does not adequately compensate insurers for predictable differences in individuals' health care expenditures in the Czech Republic. It then leads to financial inequality in the redistribution of funds to the insurance companies and causes their financial problems. This study introduces a PCG model as another method for risk adjustment and determines to what extent the predictive performance of the model can be improved when applied to Czech data. We analyze 10% of population sample in the Czech Republic in years 2011 and 2012. Our results confirm the appropriateness of the PCG model for the Czech environment. When the PCG variables are added to the demographic model, R2 value of the prediction model ...
This paper attempts to quantify the effects of changes in the population age structure on the costs ...
Risk adjustment as currently implemented or proposed has two important weaknesses. First, health ins...
This paper presents an application of the Bayesian inference to estimate health care expenses by hea...
As it is in many other sectors also in case of health insurance companies it is crucial to ensure su...
Since 1991, risk-adjusted premium subsidies have existed in the Dutch social health insurance sector...
Five models of risk adjusters were tested as a (proxy) measure for health status with data from a la...
Objective: To develop risk adjustment models for cost evaluation in primary health care in Italy bas...
The growth of pharmaceutical expenditure and its prediction is a major concern for policy makers and...
Background: Medication claims are commonly used to calculate the risk adjustment for measuring healt...
The availability of the Diagnosis Related Group (DRG) system for determining hospital costs in some ...
This paper presents an application of the Bayesian inference to estimate health care expenses by hea...
This thesis deals with pharmacoeconomics and its application from the interest groups' active in the...
The aim of this study is to develop a prospective health-based risk adjustment model for sickness in...
textabstractOBJECTIVE: To evaluate the predictive accuracy of the Diagnostic Cost Group (D...
This study uses logistic regression to estimate the probability of choosing the brand-name drug desp...
This paper attempts to quantify the effects of changes in the population age structure on the costs ...
Risk adjustment as currently implemented or proposed has two important weaknesses. First, health ins...
This paper presents an application of the Bayesian inference to estimate health care expenses by hea...
As it is in many other sectors also in case of health insurance companies it is crucial to ensure su...
Since 1991, risk-adjusted premium subsidies have existed in the Dutch social health insurance sector...
Five models of risk adjusters were tested as a (proxy) measure for health status with data from a la...
Objective: To develop risk adjustment models for cost evaluation in primary health care in Italy bas...
The growth of pharmaceutical expenditure and its prediction is a major concern for policy makers and...
Background: Medication claims are commonly used to calculate the risk adjustment for measuring healt...
The availability of the Diagnosis Related Group (DRG) system for determining hospital costs in some ...
This paper presents an application of the Bayesian inference to estimate health care expenses by hea...
This thesis deals with pharmacoeconomics and its application from the interest groups' active in the...
The aim of this study is to develop a prospective health-based risk adjustment model for sickness in...
textabstractOBJECTIVE: To evaluate the predictive accuracy of the Diagnostic Cost Group (D...
This study uses logistic regression to estimate the probability of choosing the brand-name drug desp...
This paper attempts to quantify the effects of changes in the population age structure on the costs ...
Risk adjustment as currently implemented or proposed has two important weaknesses. First, health ins...
This paper presents an application of the Bayesian inference to estimate health care expenses by hea...