Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure.

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study measures wealth-related inequalities in physical and cognitive impairments and examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data on non-institutionalized individuals aged 50-75 from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 31,969 for physical impairments and 31,348 for cognitive impairments). Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. We applied a concentration index to quantify the degree of wealth inequalities in impairments. The findings indicate that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied by country. Furthermore, a higher share of public health spending, lower out-of-pocket expenditure, and higher investment in healthcare resources were associated with lower wealth inequalities, especially for physical impairments. Our findings suggest that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Understanding the effects of informal caregiving on health and well-being: Heterogeneity and mechanisms.

This study examines the heterogenous effects of informal caregiving on caregivers' health and well-being and the mechanisms of the effects, which remain largely undiscussed in previous literature. We used a combined estimation of fixed effects and the instrumental variables to address unobserved time-invariant individual characteristics and the endogeneity problem between caregivers' health and caregiving status. Using data from the four waves of the Japanese Study of Aging and Retirement collected in 2007, 2009, 2011, and 2013, and covering individuals aged 50 to 75 at the baselines, we found robust evidence of the negative effects of informal caregiving on caregivers' mental health and life satisfaction, but not on their physical health. Regarding heterogenous effects, we found that informal caregiving adversely affected female but not male caregivers' mental health and life satisfaction. Our results also showed that informal caregiving had greater effects on individuals providing care for their mothers-in-law, with a higher socioeconomic status, living with their in-laws, and belonging to younger groups. Our results indicated that the loss of social networks and leisure and social activities were channels through which informal caregiving might negatively affect caregivers' health and well-being. This study provides suggestions that policy makers may use to mitigate the negative effects of caregiving with targeted interventions, while formulating policies to support informal caregivers.

Mixing age and risk groups for accessing COVID-19 vaccines: a modelling study.

OBJECTIVE: To characterise the optimal targeting of age and risk groups for COVID-19 vaccines. DESIGN: Motivated by policies in Japan and elsewhere, we consider rollouts that target a mix of age and risk groups when distributing the vaccines. We identify the optimal group mix for three policy objectives: reducing deaths, reducing cases and reducing severe cases. SETTING: Japan, a country where the rollout occurred over multiple stages targeting a mix of age and risk groups in each stage. PRIMARY OUTCOMES: We use official statistics on COVID-19 deaths to quantify the virus transmission patterns in Japan. We then search over all possible group mix across rollout stages to identify the optimal strategies under different policy objectives and virus and vaccination conditions. RESULTS: Low-risk young adults can be targeted together with the high-risk population and the elderly to optimally reduce deaths, cases and severe cases under high virus transmissibility. Compared with targeting the elderly or the high-risk population only, applying optimal group mix can further reduce deaths and severe cases by over 60%. High-efficacy vaccines can mitigate the health loss under suboptimal targeting in the rollout. CONCLUSIONS: Mixing age and risk groups outperforms targeting individual groups separately, and optimising the group mix can substantially increase the health benefits of vaccines. Additional policy measures boosting vaccine efficacy are necessary under outbreaks of transmissible variants.

Social contact patterns in Japan in the COVID-19 pandemic during and after the Tokyo Olympic Games.

Background: Social contact data in Japan have not been updated since 2011. The main objectives of this study are to report on newly collected social contact data, to study mixing patterns in the context of the COVID-19 pandemic, and to compare the contact patterns during and after mass events like the 2020 Olympic Games, which were held in 2021. Methods: We compared the number of contacts per day during and after the Olympic Games and on weekdays and weekends; we also compared them with a pre-COVID-19 pandemic social contact study in Japan. Contact matrices consisting of the age-specific average number of contacted persons recorded per day were obtained from the survey data. Reciprocity at the population level was achieved by using a weighted average. Results: The median number of contacts per day was 3 (interquartile range (IQR) = 1-6). The occurrence of the Olympic Games and the temporal source of data (weekday or weekend) did not change the results substantially. All three matrices derived from this survey showed age-specific assortative mixing patterns like the previous social contact survey. Conclusions: The frequency of social contact in Japan did not change substantially during the Tokyo Olympic Games. However, the baseline frequency of social mixing declined vs those collected in 2011.

Health inequity in pandemic anxiety about COVID-19 infection and socioeconomic consequences in Japan: A structural equation modeling approach.

Background: Health inequity in relation to COVID-19 infection and socioeconomic consequences is a major global concern. Mental health issues in vulnerable populations have received special attention in research and practice during the COVID-19 pandemic. However, there is limited evidence on the nature of the anxieties experienced as a result of COVID-19, and how such concerns vary across demographic groups. Aim: This study examines anxiety among the working population of Japan (aged 18-59), in terms of both COVID-19 infection and socioeconomic consequences, using an internationally validated tool, the Pandemic Anxiety Scale (PAS). Methods: Data were collected using an online survey (n = 2,764). The analyses included an exploratory factor analysis (EFA), a confirmatory factor analysis (CFA), and structural equation modeling (SEM), followed by validation of the Japanese version of the PAS. Results: A two-factor latent variable model shows the multidimensionality of anxiety in regard to the COVID-19 pandemic and the disparity across population groups in predicting the two defined anxiety dimensions. Several path coefficients showed somewhat unexpected and/or unique results from Japan compared with previous European studies. Specifically, self-reported health status was not significantly related to disease anxiety, and those who were not in paid employment reported lower consequence anxiety. The SEM results showed a greater number of significant exogenous variables for consequence anxiety compared to disease anxiety, highlighting disparities in pandemic anxiety by socioeconomic status in regard to socioeconomic consequences of the pandemic. Conclusion: In contrast to existing European studies, evidence from the current study suggests contextual patterns of health inequity. Due to the prolonged socioeconomic consequences of the pandemic, multidisciplinary research on mental health issues and the quality of life remains an important research agenda in exploring socioeconomic measures in context, towards addressing inequity concerns.

Socioeconomic status and the likelihood of informal care provision in Japan: An analysis considering survival probability of care recipients.

Studies show that the burden of caregiving tends to fall on individuals of low socioeconomic status (SES); however, the association between SES and the likelihood of caregiving has not yet been established. We studied the relationship between SES and the likelihood of adults providing long-term care for their parents in Japan, where compulsory public long-term insurance has been implemented. We used the following six comprehensive measures of SES for the analysis: income, financial assets, expenditure, living conditions, housing conditions, and education. We found that for some SES measures the probability of care provision for parents was greater in higher SES categories than in the lowest category, although the results were not systematically related to the order of SES categories or consistent across SES measures. The results did not change even after the difference in the probability of parents' survival according to SES was considered. Overall, we did not find evidence that individuals with lower SES were more likely to provide care to parents than higher-SES individuals. Although a negative association between SES and care burden has been repeatedly reported in terms of care intensity, the caregiving decision could be different in relation to SES. Further research is necessary to generalize the results.

Interdependency in vaccination policies among Japanese municipalities.

Economic theory predicts that vaccination policies at the local level can be negatively affected by the policies of neighboring regions because of free-riding motives, whereas positive dependency may exist due to policy diffusions among localities. By using the unique variations in the provision of vaccination subsidies in Japan, we assess how vaccination policies in a local government are affected by the decisions of neighboring governments. We find that the provision of vaccination subsidies is positively correlated with the decisions of neighboring localities. Moreover, a correlation is found with neighboring municipalities within the same prefecture but not with those in surrounding prefectures, indicating that the correlations are likely to arise because of mimicking behavior among localities within a prefecture. Our results show that vaccination policies tend to be formed following neighboring municipalities and do not necessarily aim to optimize community health, thus questioning the autonomy of local government authorities regarding vaccination policies.

End-Of-Life Medical Spending In Last Twelve Months Of Life Is Lower Than Previously Reported.

Although end-of-life medical spending is often viewed as a major component of aggregate medical expenditure, accurate measures of this type of medical spending are scarce. We used detailed health care data for the period 2009-11 from Denmark, England, France, Germany, Japan, the Netherlands, Taiwan, the United States, and the Canadian province of Quebec to measure the composition and magnitude of medical spending in the three years before death. In all nine countries, medical spending at the end of life was high relative to spending at other ages. Spending during the last twelve months of life made up a modest share of aggregate spending, ranging from 8.5 percent in the United States to 11.2 percent in Taiwan, but spending in the last three calendar years of life reached 24.5 percent in Taiwan. This suggests that high aggregate medical spending is due not to last-ditch efforts to save lives but to spending on people with chronic conditions, which are associated with shorter life expectancies.

Out-of-pocket payments and community-wide health outcomes: an examination of influenza vaccination subsidies in Japan.

While studies have shown that reductions in out-of-pocket payments for vaccination generally encourages vaccination uptake, research on the impact on health outcomes has rarely been examined. Thus, the present study, using municipal-level survey data on a subsidy programme for influenza vaccination in Japan that covers the entire country, examines how reductions in out-of-pocket payments for vaccination among non-elderly individuals through a subsidy programme affected regional-level influenza activity. We find that payment reductions are negatively correlated with the number of weeks with a high influenza alert in that region, although the correlation varied across years. At the same time, we find no significant correlation between payment reductions and the total duration of influenza outbreaks (i.e. periods with a moderate or high alert). Given that a greater number of weeks with a high alert indicates a severer epidemic, our findings suggest that reductions in out-of-pocket payments for influenza vaccination among the non-elderly had a positive impact on community-wide health outcomes, indicating that reduced out-of-pocket payments contributes to the effective control of severe influenza epidemics. This suggests that payment reductions could benefit not only individuals by providing them with better access to preventive care, as has been shown previously, but also communities as a whole by shortening the duration of epidemics.

Social contacts, vaccination decisions and influenza in Japan.

BACKGROUND: Contact patterns and vaccination decisions are fundamental to transmission dynamics of infectious diseases. We report on age-specific contact patterns in Japan and their effect on influenza vaccination behaviour. METHODS: Japanese adults (N=3146) were surveyed in Spring 2011 to assess the number of their social contacts within a 24 h period, defined as face-to-face conversations within 2 m, and gain insight into their influenza-related behaviour. We analysed the duration and location of contacts according to age. Additionally, we analysed the probability of vaccination and influenza infection in relation to the number of contacts controlling for individual's characteristics. RESULTS: The mean and median reported numbers of daily contacts were 15.3 and 12.0, respectively. School-aged children and young adults reported the greatest number of daily contacts, and individuals had the most contacts with those in the same age group. The age-specific contact patterns were different between men and women, and differed between weekdays and weekends. Children had fewer contacts between the same age groups during weekends than during weekdays, due to reduced contacts at school. The probability of vaccination increased with the number of contacts, controlling for age and household size. Influenza infection among unvaccinated individuals was higher than for those vaccinated, and increased with the number of contacts. CONCLUSIONS: Contact patterns in Japan are age and gender specific. These contact patterns, as well as their interplay with vaccination decisions and infection risks, can help inform the parameterisation of mathematical models of disease transmission and the design of public health policies, to control disease transmission.

Free-riding behavior in vaccination decisions: an experimental study.

Individual decision-making regarding vaccination may be affected by the vaccination choices of others. As vaccination produces externalities reducing transmission of a disease, it can provide an incentive for individuals to be free-riders who benefit from the vaccination of others while avoiding the cost of vaccination. This study examined an individual's decision about vaccination in a group setting for a hypothetical disease that is called "influenza" using a computerized experimental game. In the game, interactions with others are allowed. We found that higher observed vaccination rate within the group during the previous round of the game decreased the likelihood of an individual's vaccination acceptance, indicating the existence of free-riding behavior. The free-riding behavior was observed regardless of parameter conditions on the characteristics of the influenza and vaccine. We also found that other predictors of vaccination uptake included an individual's own influenza exposure in previous rounds increasing the likelihood of vaccination acceptance, consistent with existing empirical studies. Influenza prevalence among other group members during the previous round did not have a statistically significant effect on vaccination acceptance in the current round once vaccination rate in the previous round was controlled for.

Reevaluation of epidemiological data demonstrates that it is consistent with cross-immunity among human papillomavirus types.

BACKGROUND: The degree of cross-immunity between human papillomavirus (HPV) types is fundamental both to the epidemiological dynamics of HPV and to the impact of HPV vaccination. Epidemiological data on HPV infections has been repeatedly interpreted as inconsistent with cross-immunity. METHODS: We reevaluate the epidemiological data using a model to determine the odds ratios of multiple to single infections expected in the presence or absence of cross-immunity. We simulate a virtual longitudinal survey to determine the effect cross-immunity has on the prevalence of multiple infections. We calibrate our model to epidemiological data and estimate the extent of type replacement following vaccination against specific HPV types. RESULTS: We find that cross-immunity can produce odds ratios of infection comparable with epidemiological observations. We show that the sample sizes underlying existing surveys have been insufficient to identify even intense cross-immunity. We also find that the removal of HPV type 16, type 18, and types 6 and 11 would increase the prevalence of nontargeted types by 50%, 29%, and 183%, respectively. CONCLUSIONS: Cross-immunity between HPV types is consistent with epidemiological data, contrary to previous interpretations. Cross-immunity may cause significant type replacement following vaccination, and therefore should be considered in future vaccine studies and epidemiological models.

Using game theory to examine incentives in influenza vaccination behavior.

The social good often depends on the altruistic behavior of specific individuals. For example, epidemiological studies of influenza indicate that elderly individuals, who face the highest mortality risk, are best protected by vaccination of young individuals, who contribute most to disease transmission. To examine the conditions under which young people would get vaccinated to protect elderly people, we conducted a game-theory experiment that mirrored real-world influenza transmission, with "young" players contributing more than "elderly" players to herd immunity. Participants could spend points to get vaccinated and reduce the risk of influenza. When players were paid according to individual point totals, more elderly than young players got vaccinated, a finding consistent with the Nash equilibrium predicting self-interested behavior. When players were paid according to group point totals, however, more young than elderly players got vaccinated-a finding consistent with the utilitarian equilibrium predicting group-optimal behavior-which resulted in higher point totals than when players were paid for their individual totals. Thus, payout structure affected whether individuals got vaccinated for self-interest or group benefit.

Real-time prescription surveillance and its application to monitoring seasonal influenza activity in Japan.

BACKGROUND: Real-time surveillance is fundamental for effective control of disease outbreaks, but the official sentinel surveillance in Japan collects information related to disease activity only weekly and updates it with a 1-week time lag. OBJECTIVE: To report on a prescription surveillance system using electronic records related to prescription drugs that was started in 2008 in Japan, and to evaluate the surveillance system for monitoring influenza activity during the 2009-2010 and 2010-2011 influenza seasons. METHODS: We developed an automatic surveillance system using electronic records of prescription drug purchases collected from 5275 pharmacies through the application service provider's medical claims service. We then applied the system to monitoring influenza activity during the 2009-2010 and 2010-2011 influenza seasons. The surveillance system collected information related to drugs and patients directly and automatically from the electronic prescription record system, and estimated the number of influenza cases based on the number of prescriptions of anti-influenza virus medication. Then it shared the information related to influenza activity through the Internet with the public on a daily basis. RESULTS: During the 2009-2010 influenza season, the number of influenza patients estimated by the prescription surveillance system between the 28th week of 2009 and the 12th week of 2010 was 9,234,289. In the 2010-2011 influenza season, the number of influenza patients between the 36th week of 2010 and the 12th week of 2011 was 7,153,437. The estimated number of influenza cases was highly correlated with that predicted by the official sentinel surveillance (r = .992, P < .001 for 2009-2010; r = .972, P < .001 for 2010-2011), indicating that the prescription surveillance system produced a good approximation of activity patterns. CONCLUSIONS: Our prescription surveillance system presents great potential for monitoring influenza activity and for providing early detection of infectious disease outbreaks.

Who got vaccinated against H1N1 pandemic influenza? A longitudinal study in four U.S. cities.

The recent H1N1 pandemic influenza stimulated numerous studies into the attitudes and intentions about the H1N1 vaccine. However, no study has investigated prospective predictors of vaccination behaviour. We conducted a two-wave longitudinal study among residents in four U.S. cities during the course of the H1N1 outbreak, using Internet surveys to assess demographic, cognitive and emotional predictors of H1N1 vaccination behaviour. Surveys were conducted at two time points, before (Time 1) and after (Time 2) the H1N1 vaccine was widely available to the public. Results show that Time 2 vaccination rates, but not Time 1 vaccination intentions, tracked H1N1 prevalence across the four cities. Receipt of seasonal influenza vaccine in the previous year, worry, compliance with recommended interventions, household size and education assessed at Time 1 were significant prospective predictors of vaccination behaviour. Perception of the H1N1 vaccine, social influence and prioritised vaccine recipient status assessed at Time 2 also predicted vaccination behaviour. Critically, worry about H1N1 mediated the effects of both objective risk (prevalence at the city level) and perceived risk on vaccination behaviour. These results suggest that H1N1 vaccination behaviour appropriately reflected objective risk across regions, and worry acted as the mechanism by which vaccination behaviour followed objective risk.

How much time do adults spend on health-related self-care? Results from the American time use survey.

BACKGROUND: The amount of time individuals spend on health-related self-care is not known. OBJECTIVE: The aim of this study was to describe how much time American adults reported spending on health-related self-care (eg, taking insulin, dressing a wound). METHODS: We analyzed data from the first 5 years, 2003 to 2007, of the population-based American Time Use Survey. Of 64,310 respondents 25 years of age and older, 4267 reported 7022 episodes of health-related self-care on their survey day. We used descriptive statistics, weighted to represent US adults, to describe self-reported time and logit regressions to analyze the odds of engaging in self-care as a function of age, sex, race, and other characteristics. Because health status was collected only in 2006 to 2007, analyses were conducted separately for 2003 to 2007 and 2006 to 2007. RESULTS: Of Americans 25 years of age and older, 6.6% engaged in health-related self-care each day. Among those reporting self-care, mean time reported was 90 minutes (median, 15 minutes); 20.6% reported 2 hours or more. Regressions for 2006 to 2007 show that people aged 75 or older were 3.9 times as likely (95% CI, 2.7-5.8) to report self-care as persons aged 25 to 44. Compared with persons in excellent health, those in fair health were 2.0 times as likely (95% CI, 1.4-2.8) and those in poor health were 3.7 times as likely (95% CI, 2.5-5.6) to report engaging in self-care. Nonworking disabled persons reported self-care 4 times (95% CI, 3.1-5.3) as often as employed persons. Sex, race/ethnicity, presence of children, and body mass index were also significant. CONCLUSIONS: Time spent on health-related self-care is disproportionately distributed across the population, with a larger amount of time reported by those in poor health (3.6 hours/week) and the nonworking disabled (3.2 hours/week). To provide patient-centered care and to promote optimal decisions about health-related time management when making recommendations for additional self-care tasks, clinicians need to talk to patients about how much time they are already spending on self-care.

The dynamics of risk perceptions and precautionary behavior in response to 2009 (H1N1) pandemic influenza.

BACKGROUND: The trajectory of an infectious disease outbreak is affected by the behavior of individuals, and the behavior is often related to individuals' risk perception. We assessed temporal changes and geographical differences in risk perceptions and precautionary behaviors in response to H1N1 influenza. METHODS: 1,290 US adults completed an online survey on risk perceptions, interests in pharmaceutical interventions (preventive intervention and curative intervention), and engagement in precautionary activities (information seeking activities and taking quarantine measures) in response to H1N1 influenza between April 28 and May 27 2009. Associations of risk perceptions and precautionary behaviors with respondents' sex, age, and household size were analyzed. Linear and quadratic time trends were assessed by regression analyses. Geographic differences in risk perception and precautionary behaviors were evaluated. Predictors of willingness to take pharmaceutical intervention were analyzed. RESULTS: Respondents from larger households reported stronger interest in taking medications and engaged in more precautionary activities, as would be normatively predicted. Perceived risk increased over time, whereas interest in pharmaceutical preventive interventions and the engagement in some precautionary activities decreased over time. Respondents who live in states with higher H1N1 incidence per population perceived a higher likelihood of influenza infection, but did not express greater interests in pharmaceutical interventions, nor did they engage in a higher degree of precautionary activities. Perceived likelihood of influenza infection, willingness to take medications and engagement in information seeking activities were higher for women than men. CONCLUSIONS: Perceived risk of infection and precautionary behavior can be dynamic in time, and differ by demographic characteristics and geographical locations. These patterns will likely influence the effectiveness of disease control measures.

Inventory of data sources for estimating health care costs in the United States.

OBJECTIVE: To develop an inventory of data sources for estimating health care costs in the United States and provide information to aid researchers in identifying appropriate data sources for their specific research questions. METHODS: We identified data sources for estimating health care costs using 3 approaches: (1) a review of the 18 articles included in this supplement, (2) an evaluation of websites of federal government agencies, non profit foundations, and related societies that support health care research or provide health care services, and (3) a systematic review of the recently published literature. Descriptive information was abstracted from each data source, including sponsor, website, lowest level of data aggregation, type of data source, population included, cross-sectional or longitudinal data capture, source of diagnosis information, and cost of obtaining the data source. Details about the cost elements available in each data source were also abstracted. RESULTS: We identified 88 data sources that can be used to estimate health care costs in the United States. Most data sources were sponsored by government agencies, national or nationally representative, and cross-sectional. About 40% were surveys, followed by administrative or linked administrative data, fee or cost schedules, discharges, and other types of data. Diagnosis information was available in most data sources through procedure or diagnosis codes, self-report, registry, or chart review. Cost elements included inpatient hospitalizations (42.0%), physician and other outpatient services (45.5%), outpatient pharmacy or laboratory (28.4%), out-of-pocket (22.7%), patient time and other direct nonmedical costs (35.2%), and wages (13.6%). About half were freely available for downloading or available for a nominal fee, and the cost of obtaining the remaining data sources varied by the scope of the project. CONCLUSIONS: Available data sources vary in population included, type of data source, scope, and accessibility, and have different strengths and weaknesses for specific research questions.