International Journal of Health Economics and Management最新文献

While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood's physical form affects individuals' obesity status. We controlled for individual and location fixed-effect to account for individuals' sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism.

The rising number of older adults with limitations in their daily activities has major implications for the demands placed on long-term care (LTC) systems across Europe. Recognizing that demand can be both constrained and encouraged by individual and country-specific factors, this study explains the uptake of home-based long-term care in 18 European countries with LTC policies and pension generosity along with individual factors such as socioeconomic status. Using data from the Survey of Health, Ageing and Retirement in Europe conducted in 2019, we apply a two-part multilevel model to assess if disparities in use of LTC are driven by disparities in needs or disparities in use of care when in need. While individual characteristics largely affect the use of care through its association with disparities in need, country-level characteristics are important for the use of care when in need. In particular, the better health of wealthier and more educated individuals makes them less likely to use any type of home-based personal care. At the country level, results show that the absence of a means-tested benefit scheme and the availability of cash-for-care benefits (as opposed to in-kind) are strongly associated with the use of formal care, whether it is mixed (with informal care) or exclusive. LTC policies are, however, shown to be insufficient to significantly reduce unmet needs for personal care. Conversely, generous pensions are significantly associated with lower unmet needs, underscoring the importance of considering the likely adverse effects of future pension reforms.

The aim of the paper is to evaluate the relative importance of the set of socioeconomic characteristics of population on collective decision on COVID-19 vaccine acceptance. We apply cross-section OLS methods to the municipal-level non-survey data for 145 municipalities in Serbia, on the COVID-19 vaccination rate and socioeconomic characteristics of the population, to evaluate the determinants of cross-municipal variation in vaccine uptake decision. Using the estimated coefficients from the OLS regressions, we apply the standardized beta method to evaluate the relative importance of each factor. Vaccine acceptance in municipalities rises with the average level of education (especially in the female population), age and employment, while being negatively linked to religiosity of people and the proportion of rural population. We also find some evidence on the positive impact of the overall trust in government. Education level has the single largest impact, shaping around 37% of (explained) variation in the vaccination rate across municipalities, a rise in the proportion of people with higher degree by 1% being associated with increase in vaccination rate by 0.36%. Age of population explains 21%, urban–rural structure 13% and religiosity 11% of variation in vaccine acceptance, while employment status and trust in government each explain around 9% of variation in vaccine uptake across municipalities. Effective vaccination promotion strategy should be focused on younger, less-educated, unemployed cohorts, as well as on rural areas and should involve representatives of mainstream religions. Fostering education and strengthening trust in government are some of the key structural factors that may promote efficient collective behaviour in this respect.

Across all developed countries, there is a steep life expectancy gradient with respect to deprivation. This paper provides a theoretical underpinning for this gradient in line with the Grossman model, indicating that deprivation affects morbidity and, consequently, life expectancy in three ways: directly from deprivation to morbidity, and indirectly through lower income and a trade-off between investments in health and social status. Using rich German claims data covering 6.3 million insured people over four years, this paper illustrates that deprivation increases morbidity and reduces life expectancy. It was estimated that highly deprived individuals had approximately two more chronic diseases and a life expectancy reduced by 15 years compared to the least deprived individuals. This mechanism of deprivation is identified as fundamental, as deprived people remain trapped in their social status, and this status results in health investment decisions that affect long-term morbidity. However, in the German setting, the income and investment paths of the effects of deprivation were of minor relevance due to the broad national coverage of its SHI system. The most important aspects of deprivation were direct effects on morbidity, which accumulate over the lifespan. In this respect, personal aspects, such as social status, were found to be three times more important than spatial aspects, such as area deprivation.

This paper computes and decomposes income-related inequalities in three metrics of obesity, namely, status, depth and severity, for Spain, a European country characterized by a universal health care system with very high and rising obesity prevalence rates. Furthermore, this paper investigates the main determinants of the reduction in obesity inequalities observed over time among the female Spanish population. To compute these inequality indexes, we use cross-sectional and individual-level data gathered from the Spanish National Health Survey. We document income-related inequalities in obesity, that are more pronounced in depth and severity and are to the detriment of poor women in Spain. University education is the most important determinant for all three inequality indexes. We further report that inequalities in obesity tend to decline over time for women, which is explained mainly by a substantial decrease in the degree of inequality in secondary education and a large decrease in the income elasticity of obesity.

A number of authors have argued that technological innovation has increased U.S. health care spending. We investigate the impact that pharmaceutical innovation had on the average cost of U.S. health care episodes during the period 2000-2014, using data from the Bureau of Economic Analysis' Health Care Satellite Account and other sources. We analyze the relationship across approximately 200 diseases between the growth in the number of drugs that have been approved to treat the disease and the subsequent growth in the mean amount spent per episode of care, controlling for the growth in the number of episodes and other factors. Our estimates indicate that mean episode cost is not significantly related to the number of drugs ever approved 0-4 years before, but it is significantly inversely related to the number of drugs ever approved 5-20 years before. This delay is consistent with the fact (which we document) that utilization of a drug is relatively low during the first few years after it was approved, and that some drugs may have to be consumed for several years to have their maximum impact on treatment cost. Our estimates of the effect of pharmaceutical innovation on the average cost of health care episodes are quite insensitive to the weights used and to whether we control for 3 covariates. Our most conservative estimates imply that the drugs approved during 1986-1999 reduced mean episode cost by 4.7%, and that the drugs approved during 1996-2009 reduced mean episode cost by 2.1%. If drug approvals did not affect the number of episodes, the drugs approved during 1986-1999 would have reduced 2014 medical expenditure by about $93 billion. However, drug approvals may have affected the number, as well as the average cost, of episodes. We also estimate models of hospital utilization. The number of hospital days is significantly inversely related to the number of drugs ever approved 10-19 years before, controlling for the number of disease episodes. Our estimates imply that the drugs approved during 1984-1997 reduced the number of hospital days by 10.5%. The hospital cost reduction was larger than expenditure on the drugs.

The studies on the demand for healthcare in low- and middle-income countries rarely take into consideration the fact that many people spend their income on self-treatment and professional treatment. The estimation of the income elasticity of demand for self-treatment and professional treatment can show a more precise picture of the affordability of professional care. This paper contributes to the discussion around estimates of income elasticity of health spending and discussion whether professional care and self-treatment are close to a luxury good and inferior good respectively in a middle-income country. We apply the switching regression model to explain the choice between self-treatment and professional healthcare via estimates of the income elasticity. Estimates are made with the use of the Russian Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE), a nationally representative survey. While individual expenditure on professional treatment is higher than that on self-treatment, our estimates show that expenses on professional treatment can be income inelastic except when spending on medicines prescribed by a physician that are elastic. The results also indicate that cost of self-treatment is income elastic. In all cases, the considered income elasticities are statistically insignificant between professional and self-treatment.

Brazil's private health insurance market is the second largest in the world, behind only the United States, making it a valuable source of real-world evidence. This paper documents how physicians' inpatient reimbursement fees vary in the country and explores the relationship between these fees and the market share of health providers and health insurance companies. We implement a fixed-effects panel regression and take advantage of an unprecedented database that contains national administrative records of inpatient procedures paid by health insurance companies in 2016. We find a positive correlation between reimbursement for ICU procedures and provider market share. Conversely, we observe a negative correlation with insurers' market share. Additionally, we document substantial variation in procedure prices, both across and within Brazilian states, and observe that more competitive markets in Brazil tend to have higher population and GDP levels. Overall, our research enhances our understanding of the price setting dynamics of physician reimbursement fees in the context of a developing country. The insights gained from this study can assist policymakers in formulating appropriate regulations to ensure appropriate access to healthcare services.

Despite widespread public service provision, public funding, and private health insurance (PHI), 20% of all healthcare expenditure across the OECD is covered by out-of-pocket expenditure (OOPE). This creates an equity concern for the increasing number of individuals with chronic conditions and greater need, particularly if higher need coincides with lower income. Theoretically, individuals may mitigate OOPE risk by purchasing PHI, replacing variable OOPE with fixed expenditure on premiums. Furthermore, if PHI premiums are not risk-rated, PHI may redistribute some of the financial burden from less healthy PHI holders that have greater need to healthier PHI holders that have less need. We investigate if the burden of OOPE for individuals with greater need increases less strongly for individuals with PHI in the Australian healthcare system. The Australian healthcare system provides public health insurance with full, partial, or limited coverage, depending on the healthcare service used, and no risk rating of PHI premiums. Using data from the Household, Income and Labour Dynamics in Australia survey we find that individuals with PHI spend a greater share of their disposable income on OOPE and that the difference in OOPE share between PHI and non-PHI holders increases with greater need and utilisation, contrary to the prediction that PHI may mitigate OOPE. We also show that OOPE is a greater concern for poorer individuals for whom the difference in OOPE by PHI is the greatest.