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.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Survival in bladder and upper urinary tract cancers in Finland and Sweden through 50 years

Survival has improved in bladder cancer but few studies have considered extended periods or covered populations for which medical care is essentially free of charge. We analyzed survival in urothelial cancer (UC, of which vast majority are bladder cancers) in Finland and Sweden over a 50-year period (1967–2016) using data from the NORDCAN database. Finland and Sweden are neighboring countries with largely similar health care systems but higher economic resources and health care expenditure in Sweden. We present results on 1- and 5-year relative survival rates, and additionally provide a novel measure, the difference between 1- and 5-year relative survival, indicating how well survival was maintained between these two periods. Over the 50-year period the median diagnostic age has increased by several years and the incidence in the very old patients has increased vastly. Relative 1- year survival rates increased until early 1990s in both countries, and with minor gains later reaching about 90% in men and 85% in women. Although 5-year survival also developed favorably until early 1990s, subsequent gains were small. Over time, age specific differences in male 1-year survival narrowed but remained wide in 5-year survival. For women, age differences were larger than for men. The limitations of the study were lack of information on treatment and stage. In conclusion, challenges are to improve 5-year survival, to reduce the gender gap and to target specific care to the most common patient group, those of 70 years at diagnosis. The most effective methods to achieve survival gains are to target control of tobacco use, emphasis on early diagnosis with prompt action at hematuria, upfront curative treatment and awareness of high relapse requiring regular cystoscopy follow up.

On the Health Care Luxury Good Hypothesis

A wide range of research has been developed in the empirical literature regarding income and price elasticities of health care expenditure (HCE). The results are mixed, as researchers employ different methodologies and data sources. The benefits of the panel data method, such as greater data variation, less collinearity, and more degrees of freedom, made it attractive among economists. However, the pooled mean group (PMG) method provides robust estimates compared to conventional methods, such as the mean group estimator and dynamic fixed-effects estimator. As such, this paper applies the PMG method to scrutinize the effect of income and price on U.S. health care consumption using a panel of 46 states. The income and price elasticities were found to be 0.85 and -0.48, respectively, which partially describes the recessionary decline in health care consumption following the Great Recession. In addition, the model reveals that the short-run income elasticity is smaller than the long-run. This confirms that U.S. health care consumption follows the permanent income hypothesis. Consequently, the short-run efficacy of public policies targeting HCE remains limited. The results of this paper suggest reconsidering and adjusting health care policies during a recession so as to avoid probable long-run adverse effects on HCE.

Comparison of Catastrophic Out-of-Pocket Medical Expenditures in the US and South Korea

To date, relatively few studies have examined catastrophic out-of-pocket medical spending in the United States, especially in comparison to other high-income countries. We compared catastrophic out-of-pocket medical spending among adults age 65 and older in the United States versus South Korea, a high-income country with national health insurance that is often overlooked in cross-country comparisons. We defined catastrophic medical spending as health care expenditure for the past two years that exceeds 50% of one’s annual household income. Using data from the 2016 Health and Retirement Study (HRS) and Korean Longitudinal Study of Aging (KLoSA), we performed a logistic regression to examine the factors affecting catastrophic out-of-pocket medical spending for older adults in both countries. We also performed a Blinder-Oaxaca decomposition to compare the contribution of demographics factors versus health system-level factors to catastrophic out-of-pocket medical spending. The proportion of respondents with catastrophic out-of-pocket medical expenditure was higher in the US; the proportion was 5.8% and 3.0% in the US and South Korea, respectively. Both in the US and South Korea, respondents who were in the lower-income quartiles, who had experienced a stroke or had diabetes, and who rated their health as poor had higher odds of catastrophic out-of-pocket medical expenditure. The Blinder-Oaxaca non-linear decomposition showed that the significant difference in the rate of catastrophic out-of-pocket medical spending between the two countries was attributable to unobservable system-level factors, not observed differences in the sociodemographic characteristics between the two countries.

International Socioeconomic Predictors of Colon and Rectal Cancer Mortality: Is Colorectal Cancer a First World Problem?

PURPOSE Colorectal cancer (CRC) is a leading cause of international morbidity and is the second highest cause of cancer-related mortality in the world. The purpose of this study was to investigate the relationship between international health care spending on CRC mortality over time. METHODS This is a retrospective study using a publicly available data from the WHO Global Health Observatory database. General estimating equations were used to analyze the relationship between total health care expenditure per capita (THEpc) and CRC mortality at the country level. The primary predictors of interest were quartiles of THEpc. Other exposure variables included gross domestic product per capita (GDPpc), smoking (% of adult population smoking), physician density (per 10,000), and time. RESULTS Mortality decreased significantly from 2000 to 2016 (coefficient [95% CI], −2.2 [−3.3 to −1.1]; P < .001). THEpc, GDPpc, time, and percentage of adult population smoking were significant predictors of CRC mortality. Patients in the top two quartiles of THEpc had 3% higher rates of CRC mortality compared with countries in Q1 THEpc (Q3: 3.4 [1.9-4.8], P < .001; Q4: 3.2 [1.4-5.0], P = .001). Similar trends were seen in GDPpc (Q4: 3.2 [1.4-5.0], P = .001; Q3: 3.4 [1.9-4.8], P < .001; Q2: 1.7 [0.7-2.6], P < .001; Q1: reference). CONCLUSION Overall, mortality decreased significantly over the study period. Countries with higher health expenditures and higher gross domestic products experienced higher rates of CRC mortality. Further research will be necessary to determine the cause for this, but we postulate that it may be a result of more robust diagnostic and follow-up methods in countries with more resources.

A NEED FOR INDIA TO INVEST MORE IN THE HEALTH CARE SECTOR TO PROVIDE BETTER HEALTH SERVICES TO ITS PEOPLE AFTER LOOKING AT THE COVID-19 CASUALTY

With 75% of the health are expenditure comes from the people of India , the rest is by the government , the government spends only 1.6% of the GDP on health care sector , there is major problems in our health care sector starting from shortage of beds , to lack of doctors and nurses , the difference in the quality of treatment in the urban and rural areas as well as in private and public hospitals . The doctors even limit themselves to the private hospital because of maximum facilities , the cost of treatment is so high that half of the people die out of loan , The government during this catastrophic has provided and increased its budget for the treatment and for public health care facilities but that is not enough during at one time . around 1.8 million people have died in the pandemic situation , in India only 2 % of the people have been vaccinated . India has entered the second wave of corona virus , when it comes to rural India , there is hardly any facility available , especially for the pregnant women and its child during this COVID-19 pandemic . There is lack of medical facilities in India both rural and urban , infrastructural and human resources to cure the people . India is being dependent on other countries for import of oxygen cylinders , India is the global hotspot of COVID at present . Keywords: health care, expenditure, covid-19, budget, GDP, vaccinated, catastrophic