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Quality and performance assessment of healthcare providers in Slovakia on the basis of administrative data
Vraždová, Tamara ; Maďarová, Henrieta (advisor) ; Bryndová, Lucie (referee)
The aim of this thesis was to explore options for hospital profiling in the Slovak republic. Sacrificing breadth of the study in favor of depth, the scope of the analysis was narrowed down to one quality indicator only - mortality. In the first step a mortality prediction model was constructed in order to predict expected probability of death on the basis of a set of risk factors in order to filter away variation in hospital outcomes that is caused by other factors than quality of care. Validation of the model was performed on a validation sample of 25% of data. Discriminative ability of the final model is very high - c-statistics over 0.9. Furthermore, we verified that hospitals differ in the risk structure of their patient populations significantly - mean predicted probability of dying for hospitals differed from 0.02% to 33%. In the second step hospital profiling was performed. Standardized mortality ratios were calculated for each hospital as a difference between observed and expected number of deaths. After introduction of risk-adjustment and calculation of confidence intervals 43% of hospitals were re-classified. 30-day mortality was selected as the best indicator for hospital profiling.
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Quality and performance assessment of healthcare providers in Slovakia on the basis of administrative data
Vraždová, Tamara ; Maďarová, Henrieta (advisor) ; Bryndová, Lucie (referee)
The aim of this thesis was to explore options for hospital profiling in the Slovak republic. Sacrificing breadth of the study in favor of depth, the scope of the analysis was narrowed down to one quality indicator only - mortality. In the first step a mortality prediction model was constructed in order to predict expected probability of death on the basis of a set of risk factors in order to filter away variation in hospital outcomes that is caused by other factors than quality of care. Validation of the model was performed on a validation sample of 25% of data. Discriminative ability of the final model is very high - c-statistics over 0.9. Furthermore, we verified that hospitals differ in the risk structure of their patient populations significantly - mean predicted probability of dying for hospitals differed from 0.02% to 33%. In the second step hospital profiling was performed. Standardized mortality ratios were calculated for each hospital as a difference between observed and expected number of deaths. After introduction of risk-adjustment and calculation of confidence intervals 43% of hospitals were re-classified. 30-day mortality was selected as the best indicator for hospital profiling.
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Intellectual Capital in hospitals- Opportunities and limitations of external intellectual capital reporting
Weichselbaumer, Barbara ; Štěrbová, Ludmila (advisor) ; Antonovič, Vladan (referee)
Hospitals, like other knowledge-intensive organizations are today more dependent than ever before on intellectual capital (IC). lC consists of non-physical sources of knowledge used for value creation for key stakeholders. It comprises of human, structural and relational capital and becomes more often the key point for sustainable competitive advantage. The respective value is generally not reflected in the balance sheet. Indeed there are possibilities to disclose information on IC in supplementary or annual reports in order to reduce the lack of information on value drivers. The German hospital market is in a significant transition and trends of privatization, consolidation and a rising need for external capital become apparent. This increases the necessity for determination of a hospitals' value and key value drivers. The aim of the present thesis is to answer the questions of how IC in hospitals is measured and the how the information is disclosed to answer consequently the question if the analyzed tools can show the added value gained by IC. Finally, the analysis should find an answer on whether the reports can influence the valuation of hospitals and create a positive effect. The study is based on data gathered by five external available reports of national and international hospitals comprising information IC. The analysis includes both an examination of extent and quality of IC disclosure through the usage of content analysis and a disclosure index derived from previous studies and aligned to the special field of interest. Additionally, the reports were analyzed whether or not certain requirements set by financial analysts for valuation are met. The results show that IC disclosure in hospitals can be provided with or without making use of frameworks for IC reporting, or by including the information in annual reports. The majority of information is disclosed in a qualitative narrative way what brings the limitation, that only an indirect derivation of value drivers and the contribution to business success of the hospitals is possible. Theoretically, in all cases the information asymmetry between hospitals and the financial experts could be decreased, which would consequently lead to a more appropriate determination of the hospitals' value.
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