Examining proximity to death and health care expenditure by disease: a Bayesian-based descriptive statistical analysis from the National Health Insurance database in Japan

Background Japan is one of the Organization for Economic Co-operation and Development (OECD) countries where population aging and increasing health care expenditures (HCE) are urgent issues. Recent studies have identified factors other than age, such as proximity to death and morbidity, as contributing factors to the increase in medical costs. It is important to assess HCE by disease and analyze their factors to estimate and improve future HCE. Methods We extracted individual records spanning approximately 2 years prior to the death of persons aged 65 to 95 years from the National Health Insurance data in Japan, and used a Bayesian approach to decompose monthly HCE into five disease groups (circulatory, chronic kidney disease, neoplasms, respiratory, and others). The relationship between the proximity to death and the average HCE in each disease group was stratified by sex and age and analyzed using a descriptive statistical method similar to the two-part model. Results The average HCE increased rapidly as death approached in most disease groups, but the increase-pattern differed greatly among disease groups, sex, and age groups. The effect of proximity to death on average HCE was small for chronic diseases, but large for lethal diseases. When stratified by age and sex, younger and male decedents tended to have higher average HCE, but the extent of this varied by disease group. The two-year cumulative average HCE for neoplasms in the 65–75 years age group was about six times larger than those in the 85–95 years age group. Conclusions In Japan, it was suggested that disease, proximity to death, age, and sex may contribute to HCE. However, these factors interact in a complex manner, and it is important to analyze HCE by disease. In addition, preventing or delaying the severity of diseases with high medical burdens in younger people may be effective in reducing future terminal care costs. These findings have important implications for future projections and improvements of HCE.

Forgone healthcare and financial burden due to out-of-pocket payments in Bangladesh: a multilevel analysis

Background Ensuring access to health services for all is the main goal of universal health coverage (UHC) plan. Out-of-pocket (OOP) payment still remains the main source of funding for healthcare in Bangladesh. The association between barriers to accessing healthcare and over-reliance on OOP payments has not been explored in Bangladesh using nationally representative household survey data. This study is a novel attempt to examine the burden of OOP payment and forgone healthcare in Bangladesh, and further explores the inequalities in catastrophic health expenditures (CHE) and forgone healthcare at the national and sub-national levels. Methods This study used data from the most recent nationally representative cross-sectional survey, Bangladesh Household Income and Expenditure Survey, conducted in 2016–17 (N = 39,124). In order to identify potential determinants of CHE and forgone healthcare, multilevel Poisson regression was used. Inequalities in CHE and forgone healthcare were measured using the slope index of inequality. Results Around 25% of individuals incurred CHE and 14% of the population had forgone healthcare for any reasons. The most common reasons for forgone healthcare were treatment cost (17%), followed by none to accompany or need for permission (5%), and distance to health facility (3%). Multilevel analysis indicated that financial burden and forgone care was higher among households with older populations or chronic illness, and those who utilize either public or private health facilities. Household consumption quintile had a linear negative association with forgone care and positive association with CHE. Conclusion This study calls for incorporation of social safety net in health financing system, increase health facility, and gives priority to the disadvantaged population to ensure access to health services for all.

Quality of life and cost consequence of delays in endovascular treatment for acute ischemic stroke in China

Background Although endovascular therapy (EVT) improves clinical outcomes in patients with acute ischemic stroke, the time of EVT initiation significantly influences clinical outcomes and healthcare costs. This study evaluated the impact of EVT treatment delay on cost-effectiveness in China. Methods A model combining a short-term decision tree and long-term Markov health state transition matrix was constructed. For each time window of symptom onset to EVT, the probability of receiving EVT or non-EVT treatment was varied, thereby varying clinical outcomes and healthcare costs. Clinical outcomes and cost data were derived from clinical trials and literature. Incremental cost-effectiveness ratio and incremental net monetary benefits were simulated. Deterministic and probabilistic sensitivity analyses were performed to assess the robustness of the model. The willingness-to-pay threshold per quality-adjusted life-year (QALY) was set to ¥71,000 ($10,281). Results EVT performed between 61 and 120 min after the stroke onset was most cost-effective comparing to other time windows to perform EVT among AIS patients in China, with an ICER of ¥16,409/QALY ($2376) for performing EVT at 61–120 min versus the time window of 301–360 min. Each hour delay in EVT resulted in an average loss of 0.45 QALYs and 165.02 healthy days, with an average net monetary loss of ¥15,105 ($2187). Conclusions Earlier treatment of acute ischemic stroke patients with EVT in China increases lifetime QALYs and the economic value of care without any net increase in lifetime costs. Thus, healthcare policies should aim to improve efficiency of pre-hospital and in-hospital workflow processes to reduce the onset-to-puncture duration in China.

Grey systems in the management of demand for palliative care services in Poland

Background The concept of care for people in a critical or even terminal health condition, who are in the last stage of their life, has become the mission of palliative care facilities. Therefore, the life of a sick patient poses a number of challenges for health care services to make sure that medical services are tailored to the trajectory of the disease, as well as the various needs, preferences and resources of patients and their families. Methods Health systems financed from public funds need to adopt new methods of management to meet the high and arising demand for a long-term care. There are several ways of assessing the demand for long-term care services. The method recommended by the author and presented in more detail in this paper is the one relying on grey systems, which enables the estimation of forecasting models and, finally, actual forecasts of the number of potential future patients. Results GST can be used to make predictions about the future behaviour of the system, which is why this article aims to present the possibility of using the first-order grey model GM (1,1) in predicting the number of patients of palliative care facilities in Poland. The analysis covers the data from 2014 to 2019, whereas the prediction of the number of patients has been additionally formulated for 2020. Conclusions Health systems, particularly publicly funded ones, are characterised by a certain kind of incompleteness and uncertainty of data on the structure and behaviour of its individual components (e.g. potential patients or payers). The present study aims to prove how simple and effective grey systems models are in the decision-making process.

How innovation can be defined, evaluated and rewarded in health technology assessment

Background What constitutes innovation in health technologies can be defined and measured in a number of ways and it has been widely researched and published about. However, while many countries mention it as a criterion for pricing or reimbursement of health technologies, countries differ widely in how they define and operationalise it. Methods We performed a literature review, using a snowballing search. In this paper, we explore how innovation has been defined in the literature in relation to health technology assessment. We also describe how a selection of countries (England, France, Italy, Spain and Japan) take account of innovation in their health technology assessment frameworks and explore the key methodologies that can capture it as a dimension of value in a new health technology. We propose a way of coming to, and incorporating into health technology assessment systems, a definition of innovation for health technologies that is independent of other dimensions of value that they already account for in their systems, such as clinical benefit. We use Spain as an illustrative example of how innovation might be operationalised as a criterion for decision making in health technology assessment. Results The countries analysed here can be divided into 2 groups with respect to how they define innovation. France, Japan and Italy use features such as severity, unmet need and therapeutic added value as indicators of the degree of innovation of a health technology, while England, Spain consider the degree of innovation as a separate and additional criterion from others. In the case of Spain, a notion of innovation might be constructed around concepts of `step-change’, `convenience’, `strength of evidence base’ and `impact on future research & development’. Conclusions If innovation is to be used as operational criteria for adoption, pricing and reimbursement of health technologies, the concept must be clearly defined, and it ought to be independent from other value dimensions already captured in their health technology assessment systems.

Economic burden of multiple sclerosis: a cross-sectional study in Iran

Background Multiple Sclerosis (MS) is a chronic debilitating disease that imposes a heavy socioeconomic burden on societies. This study aimed to determine the economic burden of MS on patients using the first (CinnoVex and ReciGen) and second (Fingolimod and Natalizumab) drug therapy lines. Methods This cost of illness study was an economic evaluation carried out as cross-sectional research in 2019 in southern Iran. A total of 259 patients were enrolled in two lines of drug therapy (178 patients in the first line and 81 ones in the second). The prevalence-based approach and the bottom-up approach were used to collect cost information and to calculate the costs from the societal perspective, respectively. The human capital approach was applied to calculate indirect costs. To collect the required data a researcher-made data collection form was utilized. The data were obtained using the information available in the patients’ medical records and insurance invoices as well as their self-reports or that of their companions. Results The results showed that the annual costs of MS in the first and second lines of drug therapy per patient were $ 1919 and $ 4082 purchasing power parity (PPP), respectively, and in total, $ 2721 PPP in 2019. The highest mean costs in both lines were those of direct medical costs, of which purchasing the main medicines in both lines accounted for the highest. Conclusion Considering the findings of this study and in order to reduce the burden of the disease, the following suggestions are presented: providing necessary facilities for the production of MS drugs in the country; proper and equitable distribution of neurologists; expanding the provision of home care services; and using the technologies related to the Internet, including WhatsApp, to follow up the MS patients’ treatment.

Supporting strategic health purchasing: a case study of annual health budgets from general tax revenue and social health insurance in Abia state, Nigeria

Background Tracking general trends in strategic purchasing of health financing mechanisms will highlight where country demands may exist for technical support and where progress in being made that offer opportunities for regional learning. Health services in Abia State, Nigeria are funded from general tax-revenues (GTR), and a new state social health insurance scheme (SSHIS) is proposed to overcome the failings of the GTR and expand coverage of services. This study examined purchasing functions within the GTR and the proposed SSHIS to determine if the failings in GTR have been overcome, identify factors that shape health purchasing at sub-national levels, and provide lessons for other states in Nigeria pursuing a similar intervention. Methods Data was collected through document review and key informant interviews. Government documents were retrieved electronically from the websites of different organizations. Hard copies of paper-only files were retrieved from relevant government agencies and departments. Interviews were conducted with seven key personnel of the State Ministry of Health and State Health Insurance Agency. Thematic analysis of data was based on a strategic health purchasing progress tracking framework which delves into the governance arrangements and information architecture needed for purchasing to work well; and the core purchasing decisions of what to buy; who to buy from; and how to buy. Results There are differences in the purchasing arrangements of the two schemes. Purchaser-provider split does not exist for the GTR, unlike in the proposed SSHIS. There are no data systems for monitoring provider performance in the GTR-funded system, unlike in the SSHIS. Whereas GTR is based on a historical budgeting system, the SSHIS proposes to use a defined benefit package, which ensures value-for-money, as the basis for resource allocation. The GTR lacks private sector engagement, provider accreditation and contracting arrangements while the SSHIS will accredit and engage private providers through selective contracting. Likewise, provider payment is not linked to performance or adherence to established standards in the GTR, whereas provider payment will be linked to performance in the SSHIS. Conclusions The State Social Health Insurance has been designed to overcome many of the limitations of the budgetary allocation to health. This study provides insights into the enabling and constraining factors that can be used to develop interventions intended to strengthen the strategic health purchasing in the study area, and lessons for the other Nigeria states with similar characteristics and approaches.

The effect of gender-specific labor market conditions on children’s weight

Background Macroeconomic conditions are widely known to influence health outcomes through direct behavioral change or indirect mental effects of individuals. However, they have not received much attention in relation to childhood obesity. Methods Using gender-specific predicted employment growth rates as an index for labor market conditions, we analyze how economic shocks affect children’s weight status in Arkansas. To understand the underlying mechanisms behind these results, we use data on individual time use to examine how economic shocks are related to activities related to children’s weight. Results Improvement in the female labor market is associated with an increase in body mass index (BMI) and the probability that a child is overweight or obese, while an improvement in the male labor market has no significant effects on children’s weight. This impact is particularly evident among female children, older children, and African-American children. We also find a negative effect of improvements in the female labor market on time spent on preparation for foods at home. Conclusions These results suggest that a decrease in time spent preparing home-cooked foods might be a plausible explanation for the pro-cyclical relationship between children’s weight and improvement in the labor market conditions. Thus, the policy implications of our paper should be aimed at mitigating the adverse effects of women’s labor participation.

Quality of public health insurance and individuals’ consumption structure upgrades: evidence from China

Background The aim of this study was to investigate the relationship between the quality of public health insurance and individuals’ consumption structure upgrades in China. Methods This study was conducted using data from a population of 6430 Chinese individuals aged 18 to 70 y from the 2017 Chinese Social Survey. We used multiple linear regression models and the two-stage least-squares model to explore the impact and heterogeneity of the quality of public health insurance on individuals’ consumption structure upgrades. Furthermore, we performed structural equation modelling to clarify the mediation effects of the impact. Results The quality of public health insurance was significantly correlated with individuals’ consumption structure upgrades (β = 0.368, SD = 0.084), and the impact of the quality of public health insurance on individuals’ hedonic consumption in urban regions was significantly higher than that in rural regions (β = 0.499, SD = 0.218). Furthermore, the quality of public health insurance could promote upgrades to individuals’ consumption structure by reducing the burden of medical expenses and stabilizing or increasing individuals’ expectations regarding the future economic level. Conclusion The results indicated that developing countries should implement additional measures to enhance the quality of public health insurance, which would not only help protect the health of individuals but also stimulate individuals’ consumption to achieve rapid economic growth.

Out-of-pocket payments and catastrophic expenditures due to traffic injuries in Ouagadougou, Burkina Faso

Objective To estimate the out-of-pocket expenditures linked to Road Traffic Injuries in Ouagadougou, Burkina Faso, as well as the prevalence of catastrophic expenditures among those out-of-pocket payments, and to identify the socio-economic determinants of catastrophic expenditures due to Road Traffic Injuries. Methods We surveyed every admission at the only trauma unit of Ouagadougou between January and July 2015 at the time of their admission, 7 days and 30 days later. We estimate a total amount of out-of-pocket expenditures paid by each patient. We considered an expense as catastrophic when it represented 10% at least of the annual global consumption of the patient’s household. We used linear models to determine if socio-economic characteristics were associated to a greater or smaller ratio between out-of-pocket payment and global annual consumption. Findings We surveyed 1323 Road injury victims three times (admission, Days 7 and 30). They paid in average 46,547 FCFA (83.64 US dollars) for their care, which represent a catastrophic expenditure for 19% of them. Less than 5% of the sample was covered by a health insurance scheme. Household economic status is found to be the first determinant of catastrophic health expenditure occurrence, exhibiting a significant and negative on the ratio between road injury expenditures and global consumption. Conclusion Our findings highlight the importance of developing health insurance schemes to protect poor households from the economic burden of road traffic injuries and improve equity in front of health shocks.