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Wyświetlanie 1-2 z 2
Tytuł:
Moral hazard and its implications on health insurance sector – overview of impact of COVID-19 pandemic
Autorzy:
Sikora-Alicka, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/2123399.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku
Tematy:
moral hazard
health insurance
COVID-19
Opis:
Kenneth J. Arrow’s disruptive work, 'Medical Uncertainty and Welfare Economics’, published in 1963, was one of the first studies investigating the effects of moral hazard on the healthcare sector. Since then, countless works exploring that subject have been published. The history of research on moral hazard in medical insurance shows that this concept is defined differently in other areas of the economy than healthcare. Purpose – The proposed work is an attempt to understand and conceptualize the moral hazard in health insurance. As uncommon circumstances marked 2020, we now consider health insurance through the impact of the SARS-CoV-2 pandemic. This work discusses the results of an investigation of the impact of moral hazard and its implications on the health insurance sector during COVID-19. Research method – The author designed and conducted a study that presented several metrics involving the distribution of medical expenditures, the effect of price on medical care consumption, the PLS (profit and loss sharing) concept, and their mediating and moderating effect on moral hazard in the insurance sector. Results – There is a statistically significant and very strong relationship with a positive sign (β = 0.79; p <0.001) between the price effect and the moral hazard. The analyses show also that the price effect coexists statistically with the PLS, and the relationship between these variables is moderately strong and positive (β = 0.79; p <0.001). Originality – Insignificant relationship between the PLS and the moral hazard can be seen while the price is entered into the model (β = 0.03; p = 0.450). The lack of mediation could confirm that the price effect plays a major role in a moral hazard.
Źródło:
Optimum. Economic Studies; 2022, 1(107); 113-126
1506-7637
Pojawia się w:
Optimum. Economic Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation
Autorzy:
Kozielski, Michał
Henzel, Joanna
Tobiasz, Joanna
Gruca, Aleksandra
Foszner, Paweł
Zyla, Joanna
Bach, Małgorzata
Werner, Aleksandra
Jaroszewicz, Jerzy
Polańska, Joanna
Sikora, Marek
Powiązania:
https://bibliotekanauki.pl/articles/2086854.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
classification
classification quality
screening
COVID-19
klasyfikacja
jakość klasyfikacji
badania przesiewowe
Opis:
Efforts of the scientific community led to the development of multiple screening approaches for COVID-19 that rely on machine learning methods. However, there is a lack of works showing how to tune the classification models used for such a task and what the tuning effect is in terms of various classification quality measures. Understanding the impact of classifier tuning on the results obtained will allow the users to apply the provided tools consciously. Therefore, using a given screening test they will be able to choose the threshold value characterising the classifier that gives, for example, an acceptable balance between sensitivity and specificity. The presented work introduces the optimisation approach and the resulting classifiers obtained for various quality threshold assumptions. As a result of the research, an online service was created that makes the obtained models available and enables the verification of various solutions for different threshold values on new data.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 4; e137349, 1--8
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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