scholarly journals EFFECT OF GOVERNMENT HEALTH CARE EXPENDITURE ON ENTREPRENEURSHIP GROWTH IN NIGERIA (2001-2015)

Author(s):  
Lawal Nureni A . ◽  
Ojokuku Roseline M .
2019 ◽  
Vol 3 (5) ◽  
pp. 327-336 ◽  
Author(s):  
Deepak Raj Paudel

High expenditure due to health care is a noted public health concern in Nepal and such expenditure is expected to reduce through the access to health insurance. This study determines the factors affecting household’s catastrophic health care expenditure in Kailali district, where the government health insurance program was first piloted in Nepal. A cross-sectional survey was conducted from January to February 2018 among 1048 households (6480 individuals) after 21 months of the execution of the social health insurance program.  For the sample selection, wards were selected in the first stage followed by the selection of the households. Overall, 17.8% of the households reported catastrophic health expenditure using a threshold of more than 10% of out-of-pocket payment to total household expenditure. The study found that households without having health insurance, low economic status, and head with low level of education were more likely to face catastrophic spending. The findings suggest a policy guideline in the ongoing national health insurance debate in Nepal. The government health insurance program is currently at expansion stage, so, increase in insurance coverage, could financially help vulnerable households by reducing catastrophic health expenditure.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258274
Author(s):  
Xuesong Guo ◽  
Jun Zhang ◽  
Zhiwei Xu ◽  
Xin Cong ◽  
Zhenli Zhu

Objective We aim to estimate the total factor productivity and analyze factors related to the Chinese government’s health care expenditure in each of its provinces after its implementation of new health care reform in the period after 2009. Materials and methods We use the Malmquist DEA model to measure efficiency and apply the Tobit regression to explore factors that influence the efficiency of government health care expenditure. Data are taken from the China statistics yearbook (2004–2020). Results We find that the average TFP of China’s 31 provincial health care expenditure was lower than 1 in the period 2009–2019. We note that the average TFP was much higher after new health care reform was implemented, and note this in the eastern, central and western regions. But per capita GDP, population density and new health care reform implementation are found to have a statistically significant impact on the technical efficiency of the provincial government’s health care expenditure (P<0.05); meanwhile, region, education, urbanization and per capita provincial government health care expenditure are not found to have a statistically significant impact. Conclusion Although the implementation of the new medical reform has improved the efficiency of the government’s health expenditure, it is remains low in 31 provinces in China. In addition, the government should consider per capita GDP, population density and other factors when coordinating the allocation of health care input. Significance This study systematically analyzes the efficiency and influencing factors of the Chinese government’s health expenditure after it introduced new health care reforms. The results show that China’s new medical reform will help to improve the government’s health expenditure. The Chinese government can continue to adhere to the new medical reform policy, and should pay attention to demographic and economic factors when implementing the policy.


2021 ◽  
pp. 003435522098079
Author(s):  
Emre Umucu ◽  
Beatrice Lee ◽  
Veronica Estala-Gutierrez ◽  
Timothy Tansey

The purpose of this exploratory study was to examine whether demographic and disability variables predict total health care expenditure of Wisconsin PROMISE. The findings are intended to assist in promoting cost-effectiveness for future similar initiates. This study data were extracted from Wisconsin PROMISE data set. This study had a total of 1,443 youth with disabilities ( Mage = 14.89). The majority of participants were male (69%). Our results indicated that some demographic and disability–related characteristics are associated with total health care expenditure in control with VR case during PROMISE, control without VR case during PROMISE, and treatment group. Overall, findings of the current study suggest demographic and disability variables do assist in predicting total health care expenditure of Wisconsin PROMISE.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Nicholas Dowhaniuk

Abstract Background Rural access to health care remains a challenge in Sub-Saharan Africa due to urban bias, social determinants of health, and transportation-related barriers. Health systems in Sub-Saharan Africa often lack equity, leaving disproportionately less health center access for the poorest residents with the highest health care needs. Lack of health care equity in Sub-Saharan Africa has become of increasing concern as countries enter a period of simultaneous high infectious and non-communicable disease burdens, the second of which requires a robust primary care network due to a long continuum of care. Bicycle ownership has been proposed and promoted as one tool to reduce travel-related barriers to health-services among the poor. Methods An accessibility analysis was conducted to identify the proportion of Ugandans within one-hour travel time to government health centers using walking, bicycling, and driving scenarios. Statistically significant clusters of high and low travel time to health centers were calculated using spatial statistics. Random Forest analysis was used to explore the relationship between poverty, population density, health center access in minutes, and time saved in travel to health centers using a bicycle instead of walking. Linear Mixed-Effects Models were then used to validate the performance of the random forest models. Results The percentage of Ugandans within a one-hour walking distance of the nearest health center II is 71.73%, increasing to 90.57% through bicycles. Bicycles increased one-hour access to the nearest health center III from 53.05 to 80.57%, increasing access to the tiered integrated national laboratory system by 27.52 percentage points. Significant clusters of low health center access were associated with areas of high poverty and urbanicity. A strong direct relationship between travel time to health center and poverty exists at all health center levels. Strong disparities between urban and rural populations exist, with rural poor residents facing disproportionately long travel time to health center compared to wealthier urban residents. Conclusions The results of this study highlight how the most vulnerable Ugandans, who are the least likely to afford transportation, experience the highest prohibitive travel distances to health centers. Bicycles appear to be a “pro-poor” tool to increase health access equity.


2004 ◽  
Vol 23 (3) ◽  
pp. 589-613 ◽  
Author(s):  
Jesús Clemente ◽  
Carmen Marcuello ◽  
Antonio Montañés ◽  
Fernando Pueyo

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