Approximating the infuence of external factors on the technical efciency score of hospital care: evidence from the federal states of Germany
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10251410" target="_blank" >RIV/61989100:27510/23:10251410 - isvavai.cz</a>
Result on the web
<a href="https://healtheconomicsreview.biomedcentral.com/articles/10.1186/s13561-022-00414-7" target="_blank" >https://healtheconomicsreview.biomedcentral.com/articles/10.1186/s13561-022-00414-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s13561-022-00414-7" target="_blank" >10.1186/s13561-022-00414-7</a>
Alternative languages
Result language
angličtina
Original language name
Approximating the infuence of external factors on the technical efciency score of hospital care: evidence from the federal states of Germany
Original language description
Background A good health care system and, especially, the provision of eficient hospital care are the goals of national and regional health policies. However, the scope of general hospital care in the 16 federal states in Germany varies considerably from region to region. The objectives of this paper are to evaluate the technical efciencies of all general hospitals of the 16 federal states for the period from 2015 to 2020, to fnd out the relation between the exogenous factors and score of efciency, and also the infuence of the COVID-19 pandemic on the results of the technical efciency of hospital care in the German states. Methods A two-step approach was used. First, an input-oriented Data Envelopment Analysis model with constant returns to scale and variable returns to scale was applied for the 6-year period from 2015 to 2020. The calculation of technical efciency according to the input-oriented DEA model contains the three components-total technical efciency (TTE), pure technical efciency (PTE) and scale efciency (SE). In the second stage, the infuence of exogenous variables on the previously determined technical efciency was evaluated by applying the tobit regression analysis. Conclusions The results of the analysis of the overall technical efciency reveal that the aggregated data of all general hospitals of all 16 federal states show a steadily worsening total technical efciency every year since 2015. Although, especially, the deterioration of the year 2020 with the occurrence of COVID-19 pandemic, contributes to a deteriorated efciency average, the deterioration of the efciency values, based on the analysis performed, is also observable between the years 2016 and 2019. Considering the output generated, for inefcient units and the relevant policy authorities in the hospital sector, it can be recommended that the number of beds and in particular the number of physicians, should be reduced as inputs. Based on this study, it is also recommended that decisions to increase the efciency of general hospitals should be made with consideration of exogenous factors such as the change in the number of general hospitals or the population density in the respective state, as these had explanatory value in connection with the increase in efciency values. Due to the wide variation in the size of the federal states, the recommendation is more appropriate for federal states with low population density.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Health economics review
ISSN
2191-1991
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
7
UT code for WoS article
000920673500001
EID of the result in the Scopus database
2-s2.0-85146968227