Temat: care model - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Count data modelling of health insurance and health care utilisation in Nigeria
Autorzy:: Olayiwola, Saheed O.
Kazeem, Bayo L.O.
Powiązania:: https://bibliotekanauki.pl/articles/522441.pdf
Data publikacji:: 2019
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Tematy:: Count data model
Health care utilisation
Health insurance
Opis:: Aim/purpose – Estimation of the model of interdependent demand for health insurance and health care utilisation involves issues of stochastic dependence between health insurance and health care utilisation. This study explored a count data estimation technique to determine the most appropriate estimation method for the interdependence of health insurance and health care demand in Nigeria. Design/methodology/approach – The study employed Hidayat and Pokhrel (2010) framework to choose among the six alternatives of two classes of count data model. The data for the study were collected using a purposive sampling survey in the six geopolitical zones in Nigeria. Findings – The results showed that the general method of moments (GMM) estimator is preferable to model the determinants of medical care consumption with health insurance. Price of health care services is positively related to medical care consumption with health insurance and social health insurance. The income-medical care relationship indicated that medical care services are inferior good under private health insurance and a normal good with social health insurance during sick period. Research implications/limitations – The implication of this study is that the estimation method that accommodates endogenous regressors is the appropriate estimation technique for the interdependence of health insurance and health care utilisation. The limitation of this study is that the recall period was just six months prior to the survey. Originality/value/contribution – The study revealed that the estimation techniques for the interdependence of health insurance and health care utilisation must recognised the influence of individual and household characteristics on the decision to purchase health insurance and health care consumption. Hence, diagnostics tests are require to choose the most appropriate estimation technique.
Źródło:: Journal of Economics and Management; 2019, 35; 106-123
1732-1948
Pojawia się w:: Journal of Economics and Management
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Health insurance and Out of Pocket health care expenditure in Kenya
Autorzy:: Kamba, Urbanus Kioko
Powiązania:: https://bibliotekanauki.pl/articles/2028342.pdf
Data publikacji:: 2022
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Tematy:: Health care
Health insurance
Kenya
Out-of-Pocket
Two-part model
Opis:: Aim/purpose – The aim of this study was to estimate the effect of health insurance on Out-of-Pocket (OOP) health care expenditure in Kenya. It is informed by persistence in the challenges of access and utilization of quality and affordable health care services. Previously, researchers have estimated the effects of different forms of health care financing on its demand and shown that affordability not only enhances access and use of health services but also cushions people against adverse financial risks associated with catastrophic health care spending. Design/methodology/approach – The study used the Kenya Household Health Expenditure and Utilization Survey (KHHEUS) 2013 data, and employed the two-part model estimation approach. The sample size considered in the estimation was 6,961 with the unit of analysis being an individual household member. Findings – The overall results of this study showed that having a health insurance cover did not exclude one from using OOP payments. However, the probability of such spending was low for people with insurance compared to those without insurance. Additionally, if any cash was paid for any health care service, having insurance did not have a significant effect on the level of that spending. Research implications/limitations – The findings of this study imply that uptake of health insurance does not fully cushion people from both using cash payments when seeking health services and ramifications of catastrophic health care spending. The study however, encountered challenges of unavailability of more recent data in the KHHEUS series. In addition, the sample size was relatively small to the population after data cleaning. Originality/value/contribution – Potential effect of health insurance on OOP health care payments had not been explored in Kenya. As such, this study filled this gap. In addition, the two-part model estimation technique was also employed with the latest household health survey data.
Źródło:: Journal of Economics and Management; 2022, 44; 38-63
1732-1948
Pojawia się w:: Journal of Economics and Management
Dostawca treści:: Biblioteka Nauki

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