Current Health Expenditure Research Articles

Data-driven decision making for modelling covid-19 and its implications: A cross-country study

Grounded in big data analytics capabilities, this study aims to model the COVID-19 spread globally by considering various factors such as demographic, cultural, health system, economic, technological, and policy-based. Classified values on each country's case, death, and recovery numbers (per 1000,000 population) were used to represent COVID-19 spread. Data sets also included 29 input variables for the corresponding six factors, containing data from 159 countries. The proposed model used a Multilayer Perceptron algorithm. The results show that each of the pre-mentioned factors significantly affects disease spread. Urban population, median age, life expectancy, numbers of medical doctors and nursing personnel, current health expenditure as a % of GDP, international health regulations capacity score, continent, literacy rate, governmental response stringency index, testing policy, internet usage %, human development index and GDP per capita were identified as significant. Taking early measures and adopting open public testing policies were recommended to policymakers in fighting pandemic diseases since the created scenarios on policy-based factors revealed their importance.

Unmet needs in countries participating in the undiagnosed diseases network international: an international survey considering national health care and economic indicators.

Patients, families, the healthcare system, and society as a whole are all significantly impacted by rare diseases (RDs). According to various classifications, there are currently up to 9,000 different rare diseases that have been recognized, and new diseases are discovered every month. Although very few people are affected by each uncommon disease individually, millions of people are thought to be impacted globally when all these conditions are considered. Therefore, RDs represent an important public health concern. Although crucial for clinical care, early and correct diagnosis is still difficult to achieve in many nations, especially those with low and middle incomes. Consequently, a sizeable amount of the overall burden of RD is attributable to undiagnosed RD (URD). Existing barriers and policy aspects impacting the care of patients with RD and URD remain to be investigated. To identify unmet needs and opportunities for patients with URD, the Developing Nations Working Group of the Undiagnosed Diseases Network International (DNWG-UDNI) conducted a survey among its members, who were from 20 different nations. The survey used a mix of multiple choice and dedicated open questions covering a variety of topics. To explore reported needs and analyze them in relation to national healthcare economical aspects, publicly available data on (a) World Bank ranking; (b) Current health expenditure per capita; (c) GDP per capita; (d) Domestic general government health expenditure (% of GDP); and (e) Life expectancy at birth, total (years) were incorporated in our study. This study provides an in-depth evaluation of the unmet needs for 20 countries: low-income (3), middle-income (10), and high-income (7). When analyzing reported unmet needs, almost all countries (N = 19) indicated that major barriers still exist when attempting to improve the care of patients with UR and/or URD; most countries report unmet needs related to the availability of specialized care and dedicated facilities. However, while the countries ranked as low income by the World Bank showed the highest prevalence of referred unmet needs across the different domains, no specific trend appeared when comparing the high, upper, and low-middle income nations. No overt trend was observed when separating countries by current health expenditure per capita, GDP per capita, domestic general government health expenditure (% of GDP) and life expectancy at birth, total (years). Conversely, both the GDP and domestic general government health expenditure for each country impacted the presence of ongoing research. We found that policy characteristics varied greatly with the type of health system and country. No overall pattern in terms of referral for unmet needs when separating countries by main economic or health indicators were observed. Our findings highlight the importance of identifying actionable points (e.g., implemented orphan drug acts or registries where not available) in order to improve the care and diagnosis of RDs and URDs on a global scale.

Financial hardship associated with catastrophic out-of-pocket spending tied to primary care services in low- and lower-middle-income countries: findings from a modeling study

BackgroundFinancial risk protection (FRP) is a key component of universal health coverage (UHC): all individuals must be able to obtain the health services they need without experiencing financial hardship. In many low-income and lower-middle-income countries, however, the health system fails to provide sufficient protection against high out-of-pocket (OOP) spending on health services. In 2018, OOP health spending comprised approximately 40% of current health expenditures in low-income and lower-middle-income countries.MethodsWe model the household risk of catastrophic health expenditures (CHE), conditional on having a given disease or condition—defined as OOP health spending that exceeds a threshold percentage (10, 25, or 40%) of annual income—for 29 health services across 13 disease categories (e.g., diarrheal diseases, cardiovascular diseases) in 34 low-income and lower-middle-income countries. Health services were included in the analysis if delivered at the primary care level and part of the Disease Control Priorities, 3rd edition “highest priority package.” Data were compiled from several publicly available sources, including national health accounts, household surveys, and the published literature. A risk of CHE, conditional on having disease, was modeled as depending on usage, captured through utilization indicators; affordability, captured via the level of public financing and OOP health service unit costs; and income.ResultsAcross all countries, diseases, and health services, the risk of CHE (conditional on having a disease) would be concentrated among poorer quintiles (6.8% risk in quintile 1 vs. 1.3% in quintile 5 using a 10% CHE threshold). The risk of CHE would be higher for a few disease areas, including cardiovascular disease and mental/behavioral disorders (7.8% and 9.8% using a 10% CHE threshold), while lower risks of CHE were observed for lower cost services.ConclusionsInsufficient FRP stands as a major barrier to achieving UHC, and risk of CHE is a major problem for health systems in low-income and lower-middle-income countries. Beyond its threat to the financial stability of households, CHE may also lead to worse health outcomes, especially among the poorest for whom both ill health and financial risk are most severe. Modeling the risk of CHE associated with specific disease areas and services can help policymakers set progressive health sector priorities. Decision-makers could explicitly include FRP as a criterion for consideration when assessing the health interventions for inclusion in national essential benefit packages.

The Cost and the Value of Stroke Care in Greece: Results from the SUN4P Study.

The aim of this study was to measure the one-year total cost of strokes and to investigate the value of stroke care, defined as cost per QALY. The study population included 892 patients with first-ever acute strokes, hemorrhagic strokes, and ischemic strokes, (ICD-10 codes: I61, I63, and I64) admitted within 48 h of symptoms onset to nine public hospitals located in six cities. We conducted a bottom-up cost analysis from the societal point of view. All cost components including direct medical costs, productivity losses due to morbidity and mortality, and informal care costs were considered. We used an annual time horizon, including all costs for 2021, irrespective of the time of disease onset. The average cost (direct and indirect) was extrapolated in order to estimate the national annual burden associated with stroke. We estimated the total cost of stroke in Greece at EUR 343.1 mil. a year in 2021, (EUR 10,722/patient or EUR 23,308 per QALY). Out of EUR 343.1 mil., 53.3% (EUR 182.9 mil.) consisted of direct healthcare costs, representing 1.1% of current health expenditure in 2021. Overall, productivity losses were calculated at EUR 160.2 mil. The mean productivity losses were estimated to be 116 work days with 55.1 days lost due to premature retirement and absenteeism from work, 18.5 days lost due to mortality, and 42.4 days lost due to informal caregiving by family members. This study highlights the burden of stroke and underlines the need for stakeholders and policymakers to re-organize stroke care and promote interventions that have been proven cost-effective.

Exploring spatiotemporal trends and impacts of health resources and services on under-5 mortality in West African countries, 2010-2019: a spatial data analysis.

West African countries experienced the highest under-5 mortality rate (U5MR), the lowest life expectancy, and the poorest economic development. This study aimed to explore the spatiotemporal trend of U5MR and spatial spillover effects of health resources and services to provide a basis for establishing health policies and international cooperative mechanisms in West Africa. We retrieved data from the World Health Organization's Global Health Observatory, the United Nations Human Development Report, and the Global Burden of Disease Study 2019. Joinpoint regression analysis and Moran's I method were used to examine the temporal trend and spatial dependence of U5MR, respectively. Spatial regression analysis was used to examine the spatial spillover effects. The long-term downward trends in U5MR were divided into multiple segments by two or three change points in 2013, 2014, or 2015, and the annual percentage change after 2015 was higher than before 2015. Global Moran's I was positive, significantly indicating positive spatial autocorrelation, which increased from 0.2850 (p = 0.0210) to 0.3597 (p = 0.0080). Based on spatial regression analysis, human development index (HDI), physicians density, nurses and midwives density, health center density, percentage of infants lacking immunization for diphtheria and measles, and coverage rate of at least one antenatal visit had negative spatial spillover effects on U5MR. HDI had the strongest negative correlation (β = -0.0187 to -0.1054, p < 0.0001). Current health expenditure (CHE) per capita had positive spatial spillover effects on U5MR. This study revealed the spatiotemporal trend of U5MR in West African countries and spatial spillover effects of health resources and services. Promoting economic development, increasing health human resources, health expenditure, vaccination rate, antenatal care coverage, and the proportion of health professionals attending births not only reduced the local U5MR but also exerted spatial spillover effects on adjacent countries. The West African Health Organization may consider regional spillover mechanisms to develop regional health policy and intervention cooperation mechanisms, which will contribute to achieving the sustainable development goal on U5MR, Africa Agenda 2063, and universal health coverage.

European’ health care indicators and pancreatic cancer incidence and mortality: A mediation analysis of Eurostat data and Global Burden of Disease Study 2019

AimTo highlight correlations existing between incidence and mortality of pancreatic cancer, and health care indicators in 36 European countries. MethodsThe Global Burden of Disease (GBD) and Eurostat databases were queried between 2004 and 2019. Incidence and mortality were age-standardized. From Eurostat, indicators regarding expenditure, hospital beds, medical technology, health personnel, physicians by medical specialty and unmet needs for medical examination were extracted. Correlations between GBD and Eurostat data were analysed through mediation analysis applying clustering for countries. ResultsIncidence increased by +0.6% per year (p = 0.001) and mortality by +0.3% (p = 0.001), being increasing for most of the European countries considered. Incidence and mortality were strongly positively correlated (p = 0.001). Higher current health expenditure, expenditure in inpatient curative care, the number of available beds, the number of computed tomography scan, magnetic resonance units, practising medical doctors were all related to higher incidence (p < 0.05), whereas the unmet need for medical examinations was related to lower incidence. When the mediator’ effect of incidence was handled, these indicators, together with expenditure on outpatient curative cares, the number of pet scanners and of radiation therapy equipment, were related to lower mortality (p < 0.05). ConclusionsHealth care environment correlates with reported incidence and mortality of pancreatic cancer. This highlights both that ameliorated socio-economic societies suffer from higher incidence but lower mortality, as well as the epidemiological bias originating from countries’ diagnostic ability.

Gender differences in leukemia outcomes based on health care expenditures using estimates from the GLOBOCAN 2020

BackgroundLeukemia contributes significantly to the global cancer burden. Due to the importance of evaluating improvements in leukemia outcomes, the current study aimed to examine the variations in mortality-to-incidence ratio (MIR) between genders and association of MIR with the health expenditures in selected countries.MethodsThe leukemia incidence and mortality rates were extracted from the GLOBOCAN 2020 database. In total, 56 countries were included based on the data quality reports and the exclusion of missing data. The associations of MIR and changes in MIR over time (updeltaMIR) with the human development index (HDI), current health expenditure (CHE) per capita, and current health expenditure as a percentage of gross domestic product (CHE/GDP) were investigated using Spearman’s rank correlation coefficient.ResultsIn 2020, an estimated 474,519 new cases of leukemia were diagnosed globally, and 311,594 deaths occurred due to the disease. Male patients exhibited a higher incidence and mortality of leukemia compared to females on a global scale. Our analysis revealed that the MIRs were the highest and lowest in Egypt (0.79) and the United States (0.29), respectively. Remarkably, countries with greater HDI, higher CHE per capita, and a higher CHE/GDP tended to have lower MIR in both genders and within gender-specific subgroups. The δMIR demonstrated a significant negative correlation with HDI and CHE per capita, whereas no significant associations were observed among female patients for CHE/GDP. Besides, all three indicators showed trends towards negative correlations with δMIR among males, though these trends were not statistically significant (p>0.05).ConclusionsGenerally, leukemia MIRs tended to be most favorable (i.e., lower) in countries with high HDI and high health expenditure. The gender differences observed in leukemia outcomes may reflect the potential influence of social, material, behavioral, and biological factors.

Infectious Diseases and Some Factors Associated with Healthy Life Expectancy in the Globe: A Systematic Review

Background: Healthy life expectancy (HALE) at birth measures the standard of living anticipated. Objective: The purpose of this study was to identify the main global risk factors for HALE at birth. Methodology: The data of 212 countries have been extracted from the data hub of World Health Organization, Worldometer, World Bank, and United Nations. The HALE at birth was considered as the dependent variable and the death rate due to Coronavirus disease 2019 (COVID 19), recovery rate from COVID 19, tuberculosis (TB) incidence, universal health coverage (UHC) service index, tobacco smoking, alcohol consumption rate, human immunodeficiency virus (HIV) prevalence rate, average household size, gross domestic product (GDP), and current health expenditure were considered as the independent variables. Descriptive statistics, Pearson’s correlation analysis, and multiple linear regression model were used as the statistical tools to analyze the data. Results: The study results revealed that the HALE is found lowest in Central African Republic (44.9 years) and highest in Singapore (76.2 years). On the other hand, the death rate due to COVID 19 is found highest in Nicaragua (32.0%). In case of the recovery rate from COVID 19, the lowest value is seen in Tajikistan (0.0). Again, the lowest UHC service index is found in Montserrat (0.0). Alcohol consumption rate is found highest in Moldova Republic (15.20). In case of HIV prevalence rate, the highest value is seen in Eswatini (27.30). Average household size is seen highest in Senegal (8.30). The recovery rate from COVID 19, UHC service index, GDP, current health expenditure TB incidence, tobacco smoking, HIV prevalence rate and average household size were significantly correlated with the HALE at birth. Again, the multiple linear regression model identified the UHC service index, alcohol consumption rate, HIV prevalence rate and average household size as the significant factors which are responsible for the variation in HALE at birth worldwide. Conclusion: The UHC service index, alcohol consumption rate, HIV prevalence rate and average household size are the most associate factors of HALE at birth globally. Bangladesh Journal of Infectious Diseases, December 2022;9(2):59-68

Scourge of out-of-pocket expenditure on health: A study on its burden and predictors in a rural community of West Bengal.

Globally, one-third of current health expenditure had been out-of-pocket expenditure (OOPE). The health system financing of almost all low- and middle-income countries including India rely heavily on out-of-pocket (OOP) payments for health care. OOPE on health payments is particularly hard on any community, especially the poor leading to incomplete or even no treatment during their ill health. This study estimated OOPE among residents of a rural community in West Bengal and explored the associated factors with high OOP expenses. A community-based cross-sectional study was conducted in a rural community in Singur, West Bengal from June 2019 to February 2020. The study was done among 398 villagers selected from 15 clusters or villages. Households were randomly selected in each village. All members of the selected households were interviewed. SPSS was used for data analysis both for descriptive and inferential statistics. Only 14.6% of morbid persons had catastrophic expenditure. The incidence of catastrophic expenditure was higher among those who opted for private practitioners and or ayurveda, yoga and naturopathy, unani, siddha, and homeopathy (AYUSH) facilities. There was zero catastrophic expenditure for the unqualified sector. There was an increasing trend of OOP payments among the lower socioeconomic groups. Again, low-income individuals had a higher share in cumulative expenditure (Gini coefficient of 0.35). Most of the participants (78.4%) had no health insurance coverage. Promotion for higher utilization of public health facilities may reduce the burden of OOP expenses. Government health insurance schemes must be widened with the inclusion of coverage of outpatient services. Integrating AYUSH services in the public sector is another option to reduce OOP expenses.

Health Expenditure and Nigeria’s Economic Growth

Using time series data from 1999 to 2022, this study examines the impact of health financing on economic growth in Nigeria. The findings indicate that the previous year's productive activities have a positive effect on economic growth in both the short and long run. The current domestic government general health expenditure has a negative growth effect on economic growth, whereas the previous year's domestic general government health expenditure has a positive growth effect on economic growth. Domestic private health spending has a significant positive effect on economic growth. As a result, the importance of private health spending over government health spending in improving economic growth is reinforced. Thus, it was determined that health financing is required for long-term economic growth. As a result, the government should increase individual health spending capacity, increase health sector budgetary allocation, and ensure prudent and effective health sector budgetary implementation.

Monetary Value of Disability-Adjusted Life Years and Potential Productivity Losses Associated With Neglected Tropical Diseases in the East African Community.

In 2019, the East African Community (EAC) lost 12,048,918 disability-adjusted life-years (DALY) across all ages from neglected tropical diseases (NTDs). The specific objectives of the study reported in the paper were to estimate for EAC the monetary value of DALYs sustained by all ages from NTDs, and the potential productivity losses within the working age bracket of 15 years and above. The EAC total monetary value of DALYs lost from all 20 NTDs is the sum of each partner state's monetary value of DALYs lost from all 20 NTDs. The ith partner state's monetary value of DALY from jth disease equals ith state's GDP per capita net of current health expenditure multiplied by DALYs lost from jth disease in 2019. The EAC total productivity losses attributable to DALYs lost from all 20 NTDs is the sum of lost productivity across the seven partner states. The ith partner state's productivity loss associated with jth disease equals ith state's GDP per capita net of current health expenditure multiplied by DALYs lost from jth disease and the ith state's labour force participation rate adjusted for underutilization (unemployment and time-related underemployment) in 2019. The total 12,048,918 DALYs lost in EAC from NTDs had a of International Dollars (Int$) 21,824,211,076 and an average of Int$ 1811 per DALY. The 2,614,464 DALYs lost from NTD among 15-year-olds and above caused an estimated of Int$ 2,588,601,097 (0.392% of the EAC gross domestic product in 2019), and an average of Int$ 990.1 per DALY. The study succeeded in estimating the monetary value of DALYs sustained by all ages from 20 NTDs, and the potential productivity losses within the working age bracket of 15 years and above in the seven EAC partner states. The DALYs lost from NTD among 15-year-olds and above caused a sizeable loss in the economic productivity of EAC.

Favorable cervical cancer mortality-to-incidence ratios of countries with good human development index rankings and high health expenditures

BackgroundCervical cancer is highly preventable. The mortality-to-incidence ratio (MIR) is a marker that reflects the available screening interventions and clinical outcomes of cancer treatments. The association between the MIR for cervical cancer and cancer screening disparities among countries is an interesting issue but rarely investigated. The present study sought to understand the association between the cervical cancer MIR and the Human Development Index (HDI).MethodsCancer incidence and mortality rates were obtained from the GLOBOCAN database. The MIR was defined as the ratio of the crude mortality rate to the incidence rate. We used linear regression to analyze the correlation of MIRs with the HDI and current health expenditure (CHE) in 61 countries selected based on data quality.ResultsThe results showed lower incidence and mortality rates and MIRs in more developed regions. In terms of regional categories, Africa had the highest incidence and mortality rates and MIRs. The incidence and mortality rates and MIRs were lowest in North America. Furthermore, favorable MIRs were correlated with a good HDI and high CHE as a percentage of gross domestic product (CHE/GDP) (both p < 0.0001).ConclusionsThe MIR variation for cervical cancer is associated with the ranking of the health system and health expenditure, which further supports the role of cancer screening and treatment disparities in clinical outcomes. The promotion of cancer screening programs can reduce the cervical cancer global incidence and mortality rates and MIRs.

Infant Mortality Trends and Determinants in Kazakhstan

Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country’s socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IMR trend analysis in CA countries from 2000 to 2020 and for exploring associations between IMR and socioeconomic factors, health service-related factors, and population health indicators-related factors. A gamma generalized linear model was applied to define associations with various determinants. Our analysis revealed that IMR has decreased in all CA countries, with Kazakhstan having the lowest rate in 2000 and 2020. Our results suggest that socioeconomic indicators, such as total unemployment, Gini index, current health expenditure, gross domestic product (GDP), proportion of people living in poverty, and births by 15–19-year-old mothers, were associated with increased infant mortality rates. Improving socioeconomic conditions, investing in healthcare systems, reducing poverty and income inequality, and improving access to education, are all potential issues for further development. Addressing these factors may be critical for improving maternal and child health outcomes in the region.

The impact of CO2 emission on health expenditure: lesson learned from ASEAN five countries

This study is motivated by the issue of the Green Economy regime. The Green Economy regime promotes economic development while maintaining good environmental stability without destroying nature. Increased CO2 emissions, especially in the 5 ASEAN countries, will impact the surrounding environment, leading to worsening health levels in the long term. This poor level of health resulting from CO2 emissions will increase spending on health. The study aims to empirically analyse and see how the condition of CO2 carbon emissions will affect the health expenditure sector. The analysis of this study is by analysing Time Series data sourced from several websites such as the World Bank and also data from the Ministry of Finance. The methodology uses multiple linear regression models, or the Ordinary Least Square (OLS) method, to see how the effect of CO2 carbon emissions on health expenditure. The methodology also uses Panel Data Regression consisting of the Common Effect Model, Fixed Effect Model, and Random Effect Model. The variables used are CO2 emission as an independent variable and current health expenditure per capita as the dependent variable. The results obtained from this study are that increasing CO2 carbon emissions lead to an increase in health expenditures, along with a decrease in the quality of the surrounding environment and will have an impact on public health so that the relationship between CO2 carbon emissions and health expenditures has a positive and significant relationship.

Impact of social and economic factors on global thyroid cancer incidence and mortality.

The incidence of thyroid cancer has increased substantially over the past few decades and is partially explained by overdiagnosis. Geographical variations in incidence rates were reported to be related to national development status. This study aimed to gain deeper insights into global thyroid cancer burden by incorporating additional social and economic factors to account for cross-national disparities. We performed a multivariate analysis of age-standardized incidence and mortality data from the GLOBOCAN 2020 database for 126 countries that had more than 100 incident cases of thyroid cancer. The human development index (HDI), current health expenditure, and additional Global Health Observatory indicators were extracted from multiple sources. Age-standardized incidence was highly correlated with HDI (standardized coefficient beta = 0.523, 95% confidence interval [CI] = 0.275-0.771) among the countries studied. The prevalence of raised fasting blood glucose was associated with age-standardized mortality (beta = 0.277, 95% CI = 0.038-0.517). Generally, the mortality-to-incidence ratio was higher in males than in females. In multivariate analysis, HDI (beta = - 0.767, 95% CI = - 0.902 to - 0.633), current health expenditure (beta = 0.265, 95% CI = 0.137-0.394), and fine particulate matter (PM2.5) concentrations (beta = 0.192, 95% CI = 0.086-0.298) were associated with mortality-to-incidence ratios. National developments gauged by HDI explain the majority of the variation in incidence rates of thyroid cancer but play a smaller role in disparities in mortality rates. The association between air pollution and thyroid cancer outcomes warrants further investigation.

Quantifying the interconnectedness between poverty, health access, and rabies mortality.

The global 2030 goal set by the World Organization for Animal Health (WOAH), the World Health Organization (WHO), and the Food and Agriculture Organization (FAO), to eliminate dog-mediated human rabies deaths, has undeniably been a catalyst for many countries to re-assess existing dog rabies control programmes. Additionally, the 2030 agenda for Sustainable Development includes a blueprint for global targets which will benefit both people and secure the health of the planet. Rabies is acknowledged as a disease of poverty, but the connections between economic development and rabies control and elimination are poorly quantified yet, critical evidence for planning and prioritisation. We have developed multiple generalised linear models, to model the relationship between health care access, poverty, and death rate as a result of rabies, with separate indicators that can be used at country-level; total Gross Domestic Product (GDP), and current health expenditure as a percentage of the total gross domestic product (% GDP) as an indicator of economic growth; and a metric of poverty assessing the extent and intensity of deprivation experienced at the individual level (Multidimensional Poverty Index, MPI). Notably there was no detectable relationship between GDP or current health expenditure (% GDP) and death rate from rabies. However, MPI showed statistically significant relationships with per capita rabies deaths and the probability of receiving lifesaving post exposure prophylaxis. We highlight that those most at risk of not being treated, and dying due to rabies, live in communities experiencing health care inequalities, readily measured through poverty indicators. These data demonstrate that economic growth alone, may not be enough to meet the 2030 goal. Indeed, other strategies such as targeting vulnerable populations and responsible pet ownership are also needed in addition to economic investment.

Capital expenditure and economic growth: A disaggregated analysis for Nepal

This paper, using the most recent dataset, examines the government expenditure’s effects on the economic growth of Nepal. In doing so, a particular focus is made on disaggregated government expenditures to identify the importance of sector-specific public expenditure. The methodology adopted in this paper considers the scenario of government budget constraints while allocating resources in specific sectors and attempts to find the elasticity of those expenditures in the country’s economic growth. The results from the estimation employing Auto-regressive distributed lag (ARDL) approach to cointegration for the data from 1981 to 2020 are threefold. First, both capital and current expenditures in aggregate forms are not the contributors to economic growth unlike our assumption that capital expenditure is more important than current expendtirue for economic grwoth. Second, spending more on education, either in the form of capital or current expenditure, would make a meaningful contribution to accelerating economic growth. Third, the public expenditure in the health sector should be very rational, focusing more on capital health expenditure rather than spending current health expenditure. Therefore, the primary policy recommendation from this study is that Nepal should invest more in education and health. Moreover, spending on education to expand the area with wider coverage and quality logistics and infrastructure are both important, while such expenditure in health is to be focused on solid health logistics and infrastructures.

Investment case for primary health care in low- and middle-income countries: A case study of Kenya.

Primary healthcare (PHC) systems attain improved health outcomes and fairness and are affordable. However, the proportion of PHC spending to Total Current Health Expenditure in Kenya reduced from 63.4% in 2016/17 to 53.9% in 2020/21 while external funding reduced from 28.3% (Ksh 69.4 billion) to 23.9% (Ksh 68.2 billion) over the same period. This reduction in PHC spending negatively affects PHC performance and the overall health system goals. We conducted a cost-benefit analysis and computed costs against the economic benefits of a PHC scale-up. Activity-Based Costing (ABC) on the provider perspective was employed to estimate the incremental costs. The OneHealth Tool was used to estimate the health impact of operationalizing PHC over five years. Finally, we quantified Return on Investment (ROI) by estimating monetized DALYs based on a constant value per statistical life year (VSLY) derived from a VSL estimate. The total projected cost of PHC interventions in the Kenya was Ksh 1.65 trillion (USD 15,581.91 billion). Human resource was the main cost driver accounting for 75% of the total cost. PHC investments avert 64,430,316 Disability Adjusted Life-Years (DALYs) and generate cost savings of Ksh. 21.5 trillion (USD 204.4 Billion) over five years. Shifting services from high-level facilities to PHC facilities generates Ksh 198.2 billion (USD 1.9 billion) and yields a benefit-cost ratio of 16:1 in 5 years. Thus, every $1 invested in PHC interventions saves up to $16 in spending on conditions like stunting, NCDs, anaemia, TB, Malaria, and maternal and child health morbidity. Evidence of the economic benefits of continued prioritization of funding for PHC can strengthen the advocacy argument for increased domestic and external financing of PHC in Kenya. A well-resourced and functional PHC system translates to substantial health benefits with positive economic benefits. Therefore, governments and stakeholders should increase investments in PHC to accelerate economic growth.

Health System Financing: A Comparative Analysis of India and Saudi Arabia

The objective of this study is to provide a comparative analysis of the health financing systems in India and the Kingdom of Saudi Arabia (KSA) across three major domains: resource mobilisation, pooling of resources and purchase of health services. This is an observational study using secondary data collected from international organisations, ministries of health and other government and non-government agencies in India and KSA. The study revealed that India has a very low expenditure on healthcare and markedly lower health outcomes compared to KSA. Although India’s health financing system has undergone notable changes in the last two decades, it is lagging behind in many health financing system parameters. However, the share of government expenditure on current health expenditure has been increasing steadily with higher allocations to primary and secondary care. By expanding health insurance coverage and sustainable public health funding, it is likely that India will make significant progress towards achieving UHC.

Assessing progress towards universal health coverage in Cambodia: Evidence using survey data from 2009 to 2019

Over the past decades, many low- and middle-income countries have implemented health financing and system reforms to progress towards universal health coverage (UHC). In the case of Cambodia, out-of-pocket expenditure (OOPE) remains the main source of current health expenditure after several decades of reform, exposing households to financial risks when accessing healthcare and violating UHC's key tenet of financial protection. We use pre-pandemic data from the nationally representative Cambodia Socio-Economic Surveys of 2009 to 2019 to assess progress in financial protection to evaluate the reforms and obtain internationally comparable estimates. We find that following strong improvements in financial protection between 2009 and 2017, there was a reversal in the trend thereafter. The OOPE budget share rose, and the incidence of catastrophic spending and impoverishment increased in nearly all geographical and socioeconomic strata. For example, 17.7% of households experienced catastrophic health expenditure in 2019 at the threshold of 10% of total household consumption expenditure, and 3.9% of households were pushed into poverty by OOPE. The distribution of all financial protection indicators varied strongly across socioeconomic and geographical strata in all years. Fundamentally, the demonstrated trend reversal may jeopardize Cambodia's ability to progress towards UHC. To improve financial protection in the short term, there is a need to address the burden created by OOPE through targeted interventions to household groups that are most affected. In the medium term, our findings emphasize the importance of expanding health pre-payment schemes to currently uncovered vulnerable groups, specifically the near-poor. The government also needs to consider extending the scope of services covered and the range of providers to include the private sector under these schemes to reduce reliance on OOPE.