A review of the incidence and determinants of catastrophic health expenditure in Nigeria: Implications for universal health coverage

2019 ◽  
Vol 34 (4) ◽  
Author(s):  
Ijeoma Nkem Okedo‐Alex ◽  
Ifeyinwa Chizoba Akamike ◽  
Obumneme Benaiah Ezeanosike ◽  
Chigozie Jesse Uneke
Keyword(s):  
Universal Health Coverage ◽  
Health Expenditure ◽  
Catastrophic Health Expenditure ◽  
Health Coverage ◽  
Universal Health

scholarly journals Achieving SDG 3.8.2: Financial Protection Against Catastrophic Health Expenditure in Malaysia

2020 ◽  
Author(s):  
Surianti Sukeri ◽  
Muaz Sayuti
Keyword(s):  
At Risk ◽  
Universal Health Coverage ◽  
Health Expenditure ◽  
Health Spending ◽  
Safety Net ◽  
Catastrophic Health Expenditure ◽  
P Value ◽  
Financial Protection ◽  
Health Coverage ◽  
Universal Health

Abstract Background: The Sustainable Development Goal (SDG) 3.8.2 is one of the two indicators to monitor a country's progress towards universal health coverage. It concerns the financial protection against catastrophic spending on health based on the budget share approach. The purpose of this study is twofold: 1) to measure SDG 3.8.2 on the proportion of households with catastrophic health expenditure (CHE), and 2) to determine households at risk of CHEMethods: A cross-sectional study was conducted using secondary data from the 2015/2016 Household Expenditure Survey. The inclusion criterion was Malaysian households with some health spending in the past 12 months before the date of the survey. The World Health Organization method of calculating CHE was applied in the calculation, and a threshold of 10% out-of-pocket health spending from total household expenditures was used to determine CHE. Data were analysed descriptively, and multiple logistic regression was used to determine factors associated with CHE.Results: A total of 13015 households were involved in the study. The proportion of CHE was 2.8%. Four associated factors that were statistically significant were female-headed household (Adjusted OR 1.6; CI 1.25, 2.03; p-value <0.001), household that lived in rural area (Adjusted OR 1.29; 95% CI 1.04, 1.61; p-value =0.022), small household size (Adjusted OR 2.4; 95% CI 1.81, 3.18; p-value <0.001) and head of household aged below 60 years old (Adjusted OR2.34; 95% CI 1.81, 3.18; p-value <0.001).Conclusions: The low proportion of CHE revealed that Malaysia is on the right track towards achieving SDG 3.8 on universal health coverage status by 2030. However there is an increasing trend in the proportion of CHE. Households at risk of CHE require financial protection to afford healthcare and safety net measures to prevent from spiralling further into the vicious cycle of illness and poverty.

scholarly journals Measuring the Direct Cost Burden of Illness in Burkina Faso

2018 ◽  
Vol 10 (4) ◽  
pp. 60
Author(s):  
Ousmane Traoré
Keyword(s):  
Health Care ◽  
Burkina Faso ◽  
Direct Cost ◽  
Health Expenditure ◽  
Burden Of Illness ◽  
Methodological Approach ◽  
Catastrophic Health Expenditure ◽  
Cost Burden ◽  
Health Coverage ◽  
Universal Health

In this article, we evaluate the direct cost burden of illness in Burkina Faso. The methodological approach predicts the normative health expenditure based on the population’s health risk factors and adjusts the income based on people’s asset portfolios, which are supposed to influence their ability to manage shocks, or their vulnerability to shocks like illness. Thus, using the National Institute for Statistics and Demography’s priority surveys database of 1996, our methodology leads to a better information on the distributions of income and health care spending across a subsample of 1022 treated individuals. Subsequently, the average of the direct cost burden of illness is 11.17%, and 50% of the population spend more than 10.52% of their adjusted income on normative health care. Otherwise, there is a difference of 66.84 of percentage points between the highest and lowest cost burdens. Overall, women face higher direct costs burden compared to men. Given the “catastrophic health expenditure” threshold conventionally set at 10% of income, to decrease these financial vulnerabilities and inequalities in Burkina Faso, one solution would be to achieve universal health coverage.

scholarly journals What level of domestic government health expenditure should we aspire to for universal health coverage?

2017 ◽  
Vol 12 (2) ◽  
pp. 125-137 ◽  
Author(s):  
Di Mcintyre ◽  
Filip Meheus ◽  
John-Arne Røttingen
Keyword(s):  
Health Care ◽  
Universal Health Coverage ◽  
Low Income ◽  
Government Spending ◽  
Health Expenditure ◽  
World Health ◽  
Health Coverage ◽  
Government Health ◽  
Government Health Expenditure ◽  
Universal Health

AbstractGlobal discussions on universal health coverage (UHC) have focussed attention on the need for increased government funding for health care in many low- and middle-income countries. The objective of this paper is to explore potential targets for government spending on health to progress towards UHC. An explicit target for government expenditure on health care relative to gross domestic product (GDP) is a potentially powerful tool for holding governments to account in progressing to UHC, particularly in the context of UHC’s inclusion in the Sustainable Development Goals. It is likely to be more influential than the Abuja target, which requires decreases in budget allocations to other sectors and is opposed by finance ministries for undermining their autonomy in making sectoral budget allocation decisions. International Monetary Fund and World Health Organisation data sets were used to analyse the relationship between government health expenditure and proxy indicators for the UHC goals of financial protection and access to quality health care, and triangulated with available country case studies estimating the resource requirements for a universal health system. Our analyses point towards a target of government spending on health of at least 5% of GDP for progressing towards UHC. This can be supplemented by a per capita target of $86 to promote universal access to primary care services in low-income countries.

scholarly journals Title of Manuscript: Health System Performance Towards Universal Health Coverage in Iran: A Comparative Panel Data Analysis

2020 ◽  
Author(s):  
Haniye Sadat Sajadi ◽  
Zahra Goudarzi ◽  
Amirhossein Takian ◽  
Efat Mohamadi ◽  
Alireza Olyaeemanesh ◽  
...  
Keyword(s):  
Panel Data ◽  
Health System ◽  
Universal Health Coverage ◽  
Health Expenditure ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Health Coverage ◽  
System Efficiency ◽  
Per Capita ◽  
Universal Health

Abstract Background Building upon decades of continuous reforms, since 2014 under the banner of health transformation plan (HTP), Iran has been implementing various initiatives to strengthen its health system. Improving efficiency of the health system is fundamental to achieve better performance and reach universal health coverage (UHC). This article aimed to measure the efficiency and productivity changes in the Iranian health system during 2010-2015 in comparison with 36 selected other upper-middle income countries. Methods We used panel data to measure the variations in technical efficiency (TE) and total factor productivity (TFP) through an extended data envelopment analysis (EDEA) and Malmquist productivity index, respectively. General Government Health Expenditure (GGHE) per capita (International dollar) was selected as input variable. Service coverage of diphtheria, tetanus and pertussis; family planning; antiretroviral therapy; skilled attendants at birth; Tuberculosis treatment success rate; and GGHE as % of Total Health Expenditure (THE) were considered as output variables. The data for each indicator were taken from Global Health Observatory data repository and World Development Indicator database, for a period of six years (2010-2015). Results The TE scores of Iran’s health system were 0.75, 0.77, 0.74, 0.74, 0.97 and 0.84 in the period 2010-2015, respectively. TFP improved in 2011 (1.02), 2013 (1.01), and 2014 (1.30, generally). The overall efficiency and TFP increased in 2014. Changes made in CCHE per capita and GGHE/THE attributed to the increase of efficiency. ConclusionThere is a growing demand for efficiency improvements in the health systems to achieve UHC. While there are no defined set of indicators or precise methods to measure heath system efficiency, EDEA helped us to draw the picture of health system efficiency in Iran. Our findings also highlighted the essential need for targeted and sustained interventions, i.e. allocation of enough proportion of public funds to the health sector, to improve universal financial coverage against health costs aiming to enhance the future performance of Iran’s health system, ultimately. Such tailored interventions may be also useful for settings with similar context to speed up their movement towards improving efficiency, which in turn might lead to more resources to reach UHC.

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