|
|
Social and Medical Costs of Dupuytren's Disease
Losenický, Jakub ; Votápková, Jana (advisor) ; Paulus, Michal (referee)
The thesis investigates the relative cost-effectiveness of two treatment methods of Dupuytren's disease (DD) - surgical fasciectomy and injectable collagenase - and assesses the impact of the two health technologies on the budget of the Czech Republic. For this purpose, cost-minimization analysis (CMA) and budget impact analysis (BIA) are employed and, importantly, both social and medical costs are taken into consideration. Concerning the CMA, different patients are modelled with respect to personal characteristics such as occupation, type of work (manual, non-manual) and income. In the BIA, data on DD occurrence in the Czech Republic from the National Register of Hospitalised Patients (NRHOSP) are analysed. We found that collagenase is a cost-minimizing treatment for a big majority of employees and manually working SMEs. On the other hand, collagenase turned out to be more expensive than fasciectomy for most of the non-manual SMEs. All things considered, collagenase appeared to be cheaper for most of the model patients. We also discovered that if all the patients in the dataset were treated with collagenase, the Czech state budget would annually save 1,685,452 CZK. The average annual costs of fasciectomy and collagenase were 41,334,049 CZK and 39,648,597 CZK, respectively. Powered by TCPDF (www.tcpdf.org)
|
|
|
The Pharmacy-based Cost Group Model: Application in the Czech Health Care System
Hajíčková, Tereza ; Votápková, Jana (advisor) ; Paulus, Michal (referee)
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 increases from 2.03% to 13.87%.
|
|
|
Social and Medical Costs of Dupuytren's Disease
Losenický, Jakub ; Votápková, Jana (advisor) ; Paulus, Michal (referee)
The thesis investigates the relative cost-effectiveness of two treatment methods of Dupuytren's disease (DD) - surgical fasciectomy and injectable collagenase - and assesses the impact of the two health technologies on the budget of the Czech Republic. For this purpose, cost-minimization analysis (CMA) and budget impact analysis (BIA) are employed and, importantly, both social and medical costs are taken into consideration. Concerning the CMA, different patients are modelled with respect to personal characteristics such as occupation, type of work (manual, non-manual) and income. In the BIA, data on DD occurrence in the Czech Republic from the National Register of Hospitalised Patients (NRHOSP) are analysed. We found that collagenase is a cost-minimizing treatment for a big majority of employees and manually working SMEs. On the other hand, collagenase turned out to be more expensive than fasciectomy for most of the non-manual SMEs. All things considered, collagenase appeared to be cheaper for most of the model patients. We also discovered that if all the patients in the dataset were treated with collagenase, the Czech state budget would annually save 1,685,452 CZK. The average annual costs of fasciectomy and collagenase were 41,334,049 CZK and 39,648,597 CZK, respectively. Powered by TCPDF (www.tcpdf.org)
|
guest ::
