Does the implementation of UHC reforms foster greater equality in health spending? Evidence from a benefit incidence analysis in Burkina Faso

IntroductionBurkina Faso is one among many countries in sub-Saharan Africa having invested in Universal Health Coverage (UHC) policies, with a number of studies have evaluated their impacts and equity impacts. Still, no evidence exists on how the distributional incidence of health spending has changed in relation to their implementation. Our study assesses changes in the distributional incidence of public and overall health spending in Burkina Faso in relation to the implementation of UHC policies.MethodsWe combined National Health Accounts data and household survey data to conduct a series of Benefit Incidence Analyses. We captured the distribution of public and overall health spending at three time points. We conducted separate analyses for maternal and curative services and estimated the distribution of health spending separately for different care levels.ResultsInequalities in the distribution of both public and overall spending decreased significantly over time, following the implementation of UHC policies. Pooling data on curative services across all care levels, the concentration index (CI) for public spending decreased from 0.119 (SE 0.013) in 2009 to −0.024 (SE 0.014) in 2017, while the CI for overall spending decreased from 0.222 (SE 0.032) in 2009 to 0.105 (SE 0.025) in 2017. Pooling data on institutional deliveries across all care levels, the CI for public spending decreased from 0.199 (SE 0.029) in 2003 to 0.013 (SE 0.002) in 2017, while the CI for overall spending decreased from 0.242 (SE 0.032) in 2003 to 0.062 (SE 0.016) in 2017. Persistent inequalities were greater at higher care levels for both curative and institutional delivery services.ConclusionOur findings suggest that the implementation of UHC in Burkina Faso has favoured a more equitable distribution of health spending. Nonetheless, additional action is urgently needed to overcome remaining barriers to access, especially among the very poor, further enhancing equality.

Economic Profile of Iranian Rehabilitation Services: 2002-2017

Objective: The role of the service sector in general and healthcare services in particular have been promoting in Iran’s economy. The implementation of the Health System Transformation Plan and the injection of new financial resources into this sector have raised concerns about the health system function. Thus, this is the first attempt to estimate and evaluate the share of rehabilitation services in the Iranian economic and health systems. Materials & Methods: The study utilized longitudinal trend analysis using the National Health Accounts data during 2002-2015. National Health Accounts, through input-output tables, breaks down the share of different sources of financing for different functions of the health system. According to this method, both the share of rehabilitation services in Iran’s economy and the financing sources of these activities have been calculated and compared to other countries. Data on Iran's National Health Accounts has been collected from the Statistical Center of Iran. International data is collected from the World Health Organization's National Health Accounts and the databases of the Organization for Economic Cooperation and Development member countries. Results: Expenditures related to rehabilitation services in Iran increased from 884 billion rials in 2002 to more than 2967 billion rials in 1396, equivalent to 0.02% of Iran's GDP in that year. The share of rehabilitation expenditures in total health expenditures in 2007 was at its highest level (0.3%). In the following years, it has always had a decreasing trend. In 1396 it reached about 22.0%, the lowest amount during 16 Last year. Comparing the economic share of rehabilitation of the country's economic activities with different countries shows that the position of this sector is in no way comparable to developed countries and is even lower than many developing countries. Tunisia, Tonga, and Moldova have a similar situation to Iran's economy, with rehabilitation services accounting for about 0.05 to 0.1 percent of their total economic activity. Comparison of the prevalence of disability in these countries with Iran shows that these countries had a lower prevalence than Iran. Examination of the share of various sources shows that out-of-pocket payments with households with 6.37 percent, the most, and the government with 7.18 percent had the least role in financing rehabilitation services. It is noteworthy that this figure was about 65% before implementing the health system transformation plan. Social insurance in 2017 also covered only 6.24% of rehabilitation costs. Conclusion: Inaccessibility of people with disabilities to healthcare services is a very serious issue in the world. The rehabilitation services expenditures have always been mentioned as one of the most important barriers of accessing to these services. Following the implementation of the Health Transformation Plan, the share of rehabilitation activities in Iran’s health market has been shrunk.

Research on Current Curative Expenditure and Influencing Factors Among Cardiovascular and Cerebrovascular Diseases Based on “System of Health Accounts 2011”

Background: This study aims to research the total current curative expenditure (CCE) of cardiovascular and cerebrovascular diseases (CVDs) and their influencing factors in Xinjiang, China. Methods: Through multistage stratified cluster sampling, the sample information of patients with CVDs in Xinjiang, in 2017, was collected. Under the framework of “System of Health Accounts 2011,” the top-down allocation method was used to calculate the CCE of CVDs. Multiple linear regression was used to analyze the influencing factors. Results: The CCE of CVDs in Xinjiang was 10.574 billion yuan; 86.81% of the CCE was spent in hospitals, of which 67.22% went to general hospitals. Coronary heart disease, hypertension, and cerebral infarction were the top three diseases among the treatment cost of CVDs, accounting for 74.20% of the total treatment cost. The CCE of older adults aged 65 years and above accounted for 43.51%. The main factors affecting the hospitalization cost were length of stay, grade of the medical institution, operation, age, payment method, and gender. Conclusions: CVDs consume numerous health funds in Xinjiang; prevention and control work focus on older adults. Further, the flow of treatment cost institutions is unreasonable; thus, the role of primary medical institutions in the prevention and treatment of chronic diseases should be strengthened. Reducing the length of hospital stay can effectively control the CCE.

Challenges and experiences in linking community level reported out-of-pocket health expenditures to health provider recorded health expenditures: Experience from the iHOPE project in Northern Ghana

Out of pocket health payment (OOPs) has been identified by the System of Health Accounts (SHA) as the largest source of health care financing in most low and middle-income countries. This means that most low and middle-income countries will rely on user fees and co-payments to generate revenue, rationalize the use of services, contain health systems costs or improve health system efficiency and service quality. However, the accurate measurement of OOPs has been challenged by several limitations which are attributed to both sampling and non-sampling errors when OOPs are estimated from household surveys, the primary source of information in LICs and LMICs. The incorrect measurement of OOP health payments can undermine the credibility of current health spending estimates, an otherwise important indicator for tracking UHC, hence there is the need to address these limitations and improve the measurement of OOPs. In an attempt to improve the measurement of OOPs in surveys, the INDEPTH-Network Household out-of-pocket expenditure project (iHOPE) developed new modules on household health utilization and expenditure by repurposing the existing Ghana Living Standards Survey instrument and validating these new tools with a ‘gold standard’ (provider data) with the aim of proposing alternative approaches capable of producing reliable data for estimating OOPs in the context of National Health Accounts and for the purpose of monitoring financial protection in health. This paper reports on the challenges and opportunities in using and linking household reported out-of-pocket health expenditures to their corresponding provider records for the purpose of validating household reported out-of-pocket health expenditure in the iHOPE project.

Occupation-Based Life Expectancy: Actuarial Fairness in Determining Statutory Retirement Age

This study examines occupation-based differences in life expectancy and the extent to which health accounts for these differences. Twentyseven-year survival follow-up data were used from the Dutch population-based Longitudinal Aging Study Amsterdam (n = 2,531), initial ages 55–85 years. Occupation was based on longest-held job. Results show that the non-skilled general, technical and transport domains had an up to 3.5-year shorter life expectancy than the academic professions, accounting for the compositional characteristics age and gender. Statutory retirement age could be made to vary accordingly, by allowing a proportionally greater pension build-up in the shorter-lived domains. Health accounted for a substantial portion of the longevity difference, ranging from 20 to 66%, depending on the health indicator. Thus, health differences between occupational domains today can be used as a means to tailor retirement ages to individuals’ risks of longevity. These data provide a proof of principle for the development of an actuarially fair method to determine statutory retirement ages.

Health expenditures by services and providers for 195 countries, 2000–2017

IntroductionNational Health Accounts are a significant source of health expenditure data, designed to be comprehensive and comparable across countries. However, there is currently no single repository of this data and even when compiled major gaps persist. This research aims to provide policymakers and researchers with a single repository of available national health expenditures by healthcare functions (ie, services) and providers of such services. Leveraging these data within statistical methods, a complete set of detailed health expenditures is estimated.MethodsA methodical compilation and synthesis of all available national health expenditure reports including disaggregation by healthcare functions and providers was conducted. Using these data, a Bayesian multivariate regression analysis was implemented to estimate national-level health expenditures by the cross-classification of functions and providers for 195 countries, from 2000 to 2017.ResultsThis research used 1662 country-years and 110 070 data points of health expenditures from existing National Health Accounts. The most detailed country-year had 52% of the categories of interest reported. Of all health functions, curative care and medical goods were estimated to make up 51.4% (uncertainty interval (UI) 33.2% to 59.4%) and 17.5% (UI 13.0% to 26.9%) of total global health expenditures in 2017, respectively. Three-quarters of the global health expenditures are allocated to three categories of providers: hospital providers (35.4%, UI 30.3% to 38.9%), providers of ambulatory care (25.5%, UI 21.1% to 28.8%) and retailers of medical goods (14.4%, UI 12.4% to 16.3%). As gross domestic product increases, countries spend more on long-term care and less on preventive care.ConclusionDisaggregated estimates of health expenditures are often unavailable and unable to provide policymakers and researchers a holistic understanding of how expenditures are used. This research aggregates reported data and provides a complete time-series of estimates, with uncertainty, of health expenditures by health functions and providers between 2000 and 2017 for 195 countries.