National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
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.
Cost Analysis of Health Care of Outpatient Providers Employing Risk-adjustment
Jandová, Pavlína ; Tulejová, Henrieta (advisor) ; Paulus, Michal (referee)
The aim of this thesis is to investigate ways of assessing economic efficiency of outpatient health care providers. It analyzes feasibility of employment of risk-adjustment and profiling in the Czech Republic using administrative data reported to health insurance company in the field of otorhinolaryngology. First, the thesis provides an overview of economic profiling methods. Out of these, indirect standardization of costs with risk-adjustment on patient level was used in the empirical part. Next, methods addressing specific problems of health care data (in particular, skewness, excess of zero values and non-negativity) are explored. Using OLS on logarithms on positive part of the distribution, three representations of costs were estimated, based on selected risk-factors. Several patient factors proved significant in final models (specifically, age, gender, number of hospitalizations, region of residence and chronic conditions asthma, COPD and depression), however, the quality of the model is extremely poor. Reasons for dissatisfactory fit of models are various. We conclude that data-selection process is not appropriate to perform economic comparison. And care of outpatient otorhinolaryngology is extremely specific to be captured by information provided. Still, profiling of providers is performed...
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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