Educational inequalities in all-cause and cause-specific mortality in Japan: national census-linked mortality data for 2010-15.

BACKGROUND: Due to the lack of a national mortality inequality monitoring framework, the overall picture in Japan remains unclear. Here, we investigated educational inequalities in mortality and their cause-specific contribution in Japan. METHOD: Data were obtained by linking the 2010 Japanese population census and death records between 1 October 2010 and 30 September 2015. We included 7 984 451 Japanese people aged 30-79 years who had a unique 'matching key' generated by sex, birth year/month, address (municipality), marital status and age of spouse (9.9% of the total census population). We computed population-weighted all-cause and cause-specific age-standardized mortality rates (ASMRs) by education level. In addition, we calculated the slope index of inequality (SII), relative index inequality (RII) by education level, and population attributable fraction (PAF) referenced with the highest education (e.g. university graduation). RESULTS: Individuals with less education had higher all-cause and cause-specific ASMRs than highly educated individuals. All-cause SII (per 100 000 person-years) values were 433 (95% CI: 410-457) for men and 235 (95% CI: 217-252) for women. RII values were 1.48 (95% CI: 1.45-1.51) for men and 1.47 (95% CI: 1.43-1.51) for women. Estimated PAFs, excess premature deaths caused by educational inequalities, were 11.6% for men and 16.3% for women, respectively. Cerebrovascular diseases, ischaemic heart diseases and lung cancer were the major contributors to mortality inequalities for both sexes. CONCLUSIONS: This first census-based comprehensive report on cause-specific educational mortality inequalities suggested that differences in unfavourable health risk factors by educational background might be associated with these inequalities in Japan.

Socioeconomic inequalities in self-rated health in Japan, 32 European countries and the United States: an international comparative study.

AIMS: Japan is known as a country with low self-rated health despite high life expectancy. We compared socioeconomic inequalities in self-rated health in Japan with those in 32 European countries and the US using nationally representative samples. METHODS: We analysed individual data from the Comprehensive Survey of Living Conditions (Japan), the European Union Statistics on Income and Living Conditions, and the Behavioral Risk Factor Surveillance System (US) in 2016. We used ordered logistic regression models with four ordinal categories of self-rated health as an outcome, and educational level or occupational class as independent variables, controlling for age. RESULTS: In Japan, about half the population perceived their health as 'fair', which was much higher than in Europe (≈20-40%). The odds ratios of lower self-rated health among less educated men compared with more educated were 1.72 (95% confidence interval (CI) 1.61-1.85) in Japan, and ranged from 1.67 to 4.74 in Europe (pooled; 2.10 (95% CI 2.01-2.20)), and 6.65 (95% CI 6.22-7.12) in the US. The odds ratios of lower self-rated health among less educated women were 1.79 (95% CI 1.65-1.95) in Japan, and ranged from 1.89 to 5.30 in Europe (pooled; 2.43 (95% CI 2.33-2.54)), and 8.82 (95% CI 8.29-9.38) in the US. Socioeconomic inequalities were large when self-rated health was low for European countries, but Japan and the US did not follow the pattern. CONCLUSIONS: Japan has similar socioeconomic gradient patterns to European countries for self-rated health, and our findings revealed smaller socioeconomic inequalities in self-rated health in Japan compared with those in western countries.

Estimation of Socioeconomic Inequalities in Mortality in Japan Using National Census-linked Longitudinal Mortality Data.

BACKGROUND: We aimed to develop census-linked longitudinal mortality data for Japan and assess their validity as a new resource for estimating socioeconomic inequalities in health. METHODS: Using deterministic linkage, we identified, from national censuses for 2000 and 2010 and national death records, persons and deceased persons who had unique personal identifiers (generated using sex, birth year/month, address, and marital status). For the period 2010-2015, 1,537,337 Japanese men and women aged 30-79 years (1.9% in national census) were extracted to represent the sample population. This population was weighted to adjust for confounding factors. We estimated age-standardized mortality rates (ASMRs) by education level and occupational class. The slope index of inequality (SII) and relative index inequality (RII) by educational level were calculated as inequality measures. RESULTS: The reweighted sample population's mortality rates were somewhat higher than those of the complete registry, especially in younger age-groups and for external causes. All-cause ASMRs (per 100,000 person-years) for individuals aged 40-79 years with high, middle, and low education levels were 1,078 (95% confidence interval [CI], 1,051-1,105), 1,299 (95% CI, 1,279-1,320), and 1,670 (95% CI, 1,634-1,707) for men, and 561 (95% CI, 536-587), 601 (95% CI, 589-613), and 777 (95% CI, 745-808) for women, respectively, during 2010-2015. SII and RII by educational level increased among both sexes between 2000-2005 and 2010-2015, which indicates that mortality inequalities increased. CONCLUSION: The developed census-linked longitudinal mortality data provide new estimates of socioeconomic inequalities in Japan that can be triangulated with estimates obtained with other methods.

Effects of cost sharing on long-term care service utilization among home-dwelling older adults in Japan.

OBJECTIVES: This study aimed to examine the effect of increased cost sharing on long-term care (LTC) service utilization among home-dwelling older adults, using nationwide long-term care insurance (LTCI) claims data in Japan. METHODS: In August 2015, the coinsurance rate for Japanese LTCI increased from 10% to 20% for higher-income beneficiaries. We analyzed 27,911,076 person-month observations between April 2015 and July 2016 from 1,983,163 home-dwelling older adults (aged ≥ 65 years). We employed a difference-in-differences approach to estimate the effect of the increased coinsurance rate on overall LTC service utilization and for each of the four main service subcategories. The control group comprised those whose coinsurance rates remained at 10%. RESULTS: The treatment group, whose coinsurance rate increased, accounted for 9.6% of all participants. The raised coinsurance rate caused statistically significant reductions of 0.46% (95% confidence interval [CI]: 0.36%, 0.56%) and $25.7 (95% CI: $23.7, $27.8) in the percentage of utilization of LTC services and total monthly LTC expenditures per person, respectively. Service utilization decreased in each of the four service subcategories. CONCLUSIONS: The increased coinsurance rate resulted in statistically significant but small reductions in LTC service utilization overall and in each service type among higher-income home-dwelling beneficiaries. Requiring more cost sharing from higher-income individuals may alleviate the fiscal burden on LTC systems without serious reductions in service utilization.

Prevalence and changes of low-value care at acute care hospitals: a multicentre observational study in Japan.

OBJECTIVES: We aimed to examine the use and factors associated with the provision of low-value care in Japan. DESIGN: A multicentre observational study. SETTING: Routinely collected claims data that include all inpatient and outpatient visits in 242 large acute care hospitals (accounting for approximately 11% of all acute hospitalisations in Japan). PARTICIPANTS: 345 564 patients (median age (IQR): 62 (40-75) years; 182 938 (52.9%) women) seeking care at least once in the hospitals in the fiscal year 2019. PRIMARY AND SECONDARY OUTCOME MEASURES: We identified 33 low-value services, as defined by clinical evidence, and developed two versions of claims-based measures of low-value services with different sensitivity and specificity (broader and narrower definitions). We examined the number of low-value services, the proportion of patients receiving these services and the proportion of total healthcare spending incurred by these services in 2019. We also evaluated the 2015-2019 trends in the number of low-value services. RESULTS: Services identified by broader low-value care definition occurred in 7.5% of patients and accounted for 0.5% of overall annual healthcare spending. Services identified by narrower low-value care definition occurred in 4.9% of patients and constituted 0.2% of overall annual healthcare spending. Overall, there was no clear trend in the prevalence of low-value services between 2015 and 2019. When focusing on each of the 17 services accounting for more than 99% of all low-value services identified (narrower definition), 6 showed decreasing trends from 2015 to 2019, while 4 showed increasing trends. Hospital size and patients' age, sex and comorbidities were associated with the probability of receiving low-value service. CONCLUSIONS: A substantial number of patients received low-value care in Japan. Several low-value services with high frequency, especially with increasing trends, require further investigation and policy interventions for better resource allocation.

Out-of-pocket payment and patients' treatment choice for assisted reproductive technology by household income: a conjoint analysis using an online social research panel in Japan.

BACKGROUND: Economic disparities affect access to assisted reproductive technology (ART) treatment in many countries. At the time of this survey, Japan provided partial reimbursement for ART treatment only for those in low- or middle-income classes due to limited governmental budgets. However, the optimal level of financial support by income class remains unclear. METHODS: We conducted a conjoint analysis of ART in Japan in January 2020. We recruited 824 women with fertility problems aged 25 to 44 years via an online social research panel. They completed a questionnaire of 16 hypothetical scenarios measuring six relevant ART attributes (i.e., out-of-pocket payment, pregnancy rate, risk of adverse effects, number of visits to outpatient clinics, consultation hours and kindness of staff) and their relations to treatment choice. RESULTS: Mixed-effect logistic regression models showed that all six attributes significantly influenced treatment preferences, with participants valuing out-of-pocket payment the most, followed by pregnancy rates and kindness of staff. Significant interactions occurred between high household income (≥ 8 million JPY) and high out-of-pocket payment (≥ 500,000 JPY). However, the average marginal probability of the highest-income patients (i.e., ≥ 10 million JPY, ineligible for the subsidy) receiving ART treatment at the average cost of 400,000 JPY was 47%, compared to 56 - 61% of other income participants, who opted to receive ART at an average cost of 100,000 JPY after a 300,000 JPY subsidy. CONCLUSION: Our results suggest that out-of-pocket payment is the primary determinant in patients' decision to opt for ART treatment. High-income patients were more likely to choose treatment, even at a high cost, but their income-based ineligibility for government financial support might discourage some from receiving treatment.

Trends and socioeconomic inequalities in self-rated health in Japan, 1986-2016.

INTRODUCTION: Despite having very high life expectancy, Japan has relatively poor self-rated health, compared to other high-income countries. We studied trends and socioeconomic inequalities in self-rated health in Japan using nationally representative data. METHODS: The Comprehensive Survey of Living Conditions was analyzed, every 3 years (n ≈ 0.6-0.8 million/year) from 1986 to 2016. Whereas previous studies dichotomized self-rated health as an outcome, we used four categories: very good, good, fair, and bad/very bad. Proportional odds ordinal logistic regression models are used, with ordinal scale self-rated health as an outcome, and age category, survey year and occupational class or educational level as independent variables. RESULTS: In 2016, the age-adjusted percentages for self-rated health categorized as very good, good, fair, and bad/very bad, were 24.0, 17.1, 48.7, and 10.2% among working-age men, and 21.6, 17.5, 49.4, and 11.5% among working-age women, respectively. With 1986 as the reference year, the odds ratios (ORs) of less good self-rated health were lowest in 1995 (0.69; 95% Confidence Interval [95% CI]: 0.66-0.71 of working-age men), and highest in 2010 (1.23 [95% CI: 1.19-1.27]). The ORs of male, lower non-manual workers (compared to upper non-manual) increased from 1.12 (95% CI: 1.07-1.17) in 2010 to 1.20 (95% CI: 1.15-1.26) in 2016. Between 2010 and 2016, the ORs of working-age men with middle and low levels of education (compared to a high level of education) increased from 1.22 (95% CI: 1.18-1.27) to 1.34 (95% CI: 1.29-1.38), and from 1.47 (95% CI: 1.39-1.56) to 1.75 (95% CI: 1.63-1.88), respectively. The ORs of working-age women with middle and low levels of education also increased from 1.22 (95% CI: 1.17-1.28) to 1.32 (95% CI: 1.26-1.37), and from 1.74 (95% CI: 1.61-1.88) to 2.03 (95% CI: 1.87-2.21) during the same period. CONCLUSION: Japan has the unique feature that approximately 50% of the survey respondents rated their self-rated health as fair, but with important variations over time and between socioeconomic groups. In-depth studies of the role of socioeconomic conditions may shed light on the reasons for the high prevalence of poor self-rated health in Japan.

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods.

Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized for target conditions. We investigated whether machine learning methods can supplement researchers' knowledge of target conditions in building CBAs. Retrospective cohort study using a claims database combined with annual health check-up results of employees' health insurance programs for fiscal year 2016-17 in Japan (study population for hypertension, N = 631,289; diabetes, N = 152,368; dyslipidemia, N = 614,434). We constructed CBAs with logistic regression, k-nearest neighbor, support vector machine, penalized logistic regression, tree-based model, and neural network for identifying patients with three common chronic conditions: hypertension, diabetes, and dyslipidemia. We then compared their association measures using a completely hold-out test set (25% of the study population). Among the test cohorts of 157,822, 38,092, and 153,608 enrollees for hypertension, diabetes, and dyslipidemia, 25.4%, 8.4%, and 38.7% of them had a diagnosis of the corresponding condition. The areas under the receiver operating characteristic curve (AUCs) of the logistic regression with/without subject-matter knowledge about the target condition were .923/.921 for hypertension, .957/.938 for diabetes, and .739/.747 for dyslipidemia. The logistic lasso, logistic elastic-net, and tree-based methods yielded AUCs comparable to those of the logistic regression with subject-matter knowledge: .923-.931 for hypertension; .958-.966 for diabetes; .747-.773 for dyslipidemia. We found that machine learning methods can attain AUCs comparable to the conventional knowledge-based method in building CBAs.

Household income and medical help-seeking for fertility problems among a representative population in Japan.

BACKGROUND: Fertility treatments help many infertile couples to have children. However, disparities exist in access to fertility tests and treatments. We investigated the association between household income and medical help-seeking for fertility in Japan. METHODS: We conducted a cross-sectional study using nationally representative data from the National Fertility Survey 2015. Respondents were 6598 married women younger than 50 years old. The primary outcome was medical help-seeking for fertility among those who experienced fertility problems. Multiple logistic regression models were used to assess the association between household income and medical help-seeking, adjusting for age, length of marriage, educational level, employment status, number of children, childbearing desires, living with parents, and region of residence. RESULTS: Among 2253 (34%) women who experienced fertility problems, 1154 (51%) sought medical help. The proportion of help-seekers increased linearly from 43% in the low-income group (< 4 million Japanese yen [JPY]) to 59% in the high-income group (≥ 8 million JPY) (P for trend < 0.001). Respondents with upper-middle (6-8 million JPY) or high household income were more likely to seek medical help, compared to those with low household income: adjusted odds ratio [aOR] 1.37 (95% confidence interval [CI]: 1.00-1.86) and aOR 1.78 (95% CI: 1.29-2.47), respectively. CONCLUSIONS: We found that higher household income was associated with a higher probability of seeking medical help among Japanese women who experienced fertility problem. Along with policy discussion about additional financial support, further studies from societal, cultural, or psychological views are required.

Fertility treatments have helped millions of people to have a child. Although financial factors are known to play an important role in the decision to use fertility treatments, no previous studies have investigated how socioeconomic factors affect medical help-seeking for fertility in Japan. Therefore, we assessed the association between household income and medical help-seeking among couples with fertility problems in Japan, using nationally representative data from the National Fertility Survey 2015. Of the 6598 respondents (married women under 50 years old), one-third (2253) reported worrying about fertility problems, and half of those women (1154) sought medical help for fertility-related issues. The proportion of help-seekers was highest (59%) among those with high household income and lowest (43%) among those with low household income with a significant linear trend. Even after accounting for age, length of marriage, educational level, employment status, and other possibly related factors, those with higher household income were more likely to seek medical help for fertility tests and treatments. Japan provides various sources of financial support for fertility-related care, such as health insurance coverage for tests and early-stage treatments and partial subsidies for assisted reproductive technology treatments. However, the results indicate that further policy discussion about additional financial support and further studies focusing on barriers to care in Japan could help improve the situations for those with fertility problems.

[Trends in smoking prevalence by occupations defined in the Japan Standard Occupational Classification: A repeated cross-sectional analysis of the Comprehensive Survey of Living Conditions, 2001-2016].

Objectives　Few studies have focused on the relationship between smoking habits and occupation in Japan. This study aimed to examine the changes in smoking prevalence by occupation, specifically those occupations defined in the Japan Standard Occupational Classification (JSOC).Methods　We analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted in Japan every three years, between 2001 and 2016. Survey participants were asked whether they (1) "never smoked," (2) "smoked daily," (3) "smoked occasionally but not every day," or (4) "used to smoke daily (before, at least one month)." Participants who answered (2) "smoked daily" or (3) "smoked occasionally but not every day" were considered "current smokers." Age-standardized smoking prevalence was computed based on the JSOC (10 categories: administrative and managerial; professional; clerical; sales; services; security; agriculture, forestry, and fishing; transport; manufacturing, construction, mining, carrying, cleaning, and packaging; and unemployment). The analyses were restricted to workers and unemployed men and women aged 25 to 64 years old.Results　Between 2001 and 2016, the smoking prevalence (of the entire population aged 25 to 64 years old) decreased from 56.0% (95% confidence interval [95% CI]: 55.8-56.3%) to 38.4% (95% CI: 38.1-38.6%) among men, and from 17.0% (95% CI 16.8-17.2%) to 13.0% (95% CI 12.8-13.1%) among women. In 2016, the smoking prevalence for clerical (the lowest smoking prevalence) and transport workers (the highest smoking prevalence) was 27.9% (95% CI: 27.0-28.8%) and 48.3% (95% CI: 46.8-49.7%), respectively, for men, and 9.4% (95% CI: 9.0-9.7%), and 38.5% (95% CI: 32.6-44.5%), respectively, for women. Between 2001 and 2016, the smoking prevalence for men decreased for all occupations, whereas for women, the smoking prevalence decreased for all occupations except for security and for transport workers. The largest reduction rate of smoking prevalence between 2001 and 2016 for men and for women was observed in clerical workers (-21.0%) and sales workers (-7.2%), respectively. We also found that clerical workers had the lowest smoking prevalence across the 5-year age categories for both sexes, especially the younger age, which resulted in the largest differences in smoking prevalence by occupation among men aged 30 to 34 years old.Conclusion　We confirmed that, between 2001 and 2016, the lowest and highest smoking prevalence for both sexes is found among clerical workers and among transport workers, respectively. Although smoking prevalence has declined among working-aged men and women between 2001 and 2016, large differences by occupations consistently exist in Japan. It is necessary to take measures against smoking habits in consideration of their social backgrounds and work environments.

Cesarean delivery rates for overall and multiple pregnancies in Japan: A descriptive study using nationwide health insurance claims data.

AIM: Due to the lack of national perinatal registries, population-wide descriptive statistics on cesarean deliveries in Japan are unknown. We aim to describe cesarean deliveries for overall and multiple pregnancies using the Japan National Database of health insurance claims. METHODS: We calculated the national and prefectural cesarean delivery rates for overall and multiple pregnancies in 2014. We described maternal morbidities (e.g., blood transfusion) and the place and type of the institutions providing prenatal and perinatal care. RESULTS: The national cesarean delivery rates were 18.6% overall and 82.7% for women with multiple pregnancies. Prefectural cesarean delivery rates for overall and multiple pregnancies varied from 12.5% to 24.2% and from 49.2% to 100%, respectively, showing a moderate positive correlation (r = 0.59, p < 0.001). Overall, 1.4% of cesarean patients received an allogeneic blood transfusion, compared to 3.2% for those with multiple pregnancies. In addition, 65.9% of overall cesarean deliveries occurred at hospitals with ≥20 beds, whereas 94.6% of cesarean patients with multiple pregnancies delivered at hospitals. Older patients were more likely to receive their cesarean section at a different institution than their first visit within the same prefecture, but trans-prefectural movement during pregnancy covered by health insurance was most frequent among those in their early thirties: 7.0% overall and 10.7% for multiple pregnancies. CONCLUSIONS: The overall cesarean delivery rate in Japan was optimal, but the rate was high for multiple pregnancies, with large regional differences. Data on patient movement across institutions and areas would help to improve the perinatal care system.

Relationships between social spending and childhood obesity in OECD countries: an ecological study.

OBJECTIVES: The burden of childhood obesity is clustered among children in low-socioeconomic groups. Social spending on children-public welfare expenditure on families and education-may curb childhood obesity by reducing socioeconomic disadvantages. The objective of this study was to examine the relationship between social spending on children and childhood obesity across the Organisation for Economic Cooperation and Development (OECD) countries. DESIGN: Ecological study. SETTING: Data on social spending on children were obtained from the OECD Social Expenditure Database and the OECD educational finance indicators dataset during 2000-2015. Data on childhood obesity were obtained from the NCD Risk Factor Collaboration database. PARTICIPANTS: Aggregated statistics on obesity among children aged 5-19 years, estimated for OECD 35 countries based on the measured height and weight on 31.5 million children. OUTCOME MEASURES: Country-level prevalence of obesity among children aged 5-19 years. RESULTS: In cross-sectional analyses in 2015, social spending on children was inversely associated with the prevalence of childhood obesity after adjusting for potential confounders (the gross domestic product per capita, unemployment rate, poverty rate, percentage of children aged <20 years and prevalence of childhood obesity in 2000). In addition, when we focused on changes from 2000 to 2015, an average annual increase of US$100 in social spending per child was associated with a decrease in childhood obesity by 0.6 percentage points for girls (p=0.007) and 0.7 percentage points for boys (p=0.04) between 2000 and 2015, after adjusting for the potential confounders. The dimensions of social spending that contributed to these associations between the changes in social spending on children and childhood obesity were early childhood education and care (ECEC) and school education for girls and ECEC for boys. CONCLUSION: Countries that increase social spending on children tend to experience smaller increases in childhood obesity.

Widening Socioeconomic Inequalities in Smoking in Japan, 2001-2016.

BACKGROUND: Japan is one of the world's largest tobacco epidemic countries but few studies have focused on socioeconomic inequalities. We aimed to examine whether socioeconomic inequalities in smoking have reduced in Japan in recent times. METHODS: We analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted every 3 years (n ≈ 700,000 per year) in Japan, during 2001-2016. Age-standardized smoking prevalence was computed based on occupational class and educational level. We calculated smoking prevalence difference (PD) and ratio (PR) of (a) manual workers versus upper non-manual workers and (b) low versus high educational level. The slope index of inequality (SII) and relative index inequality (RII) by educational level were used as inequality measures. RESULTS: Overall smoking prevalence (25-64 years) decreased from 56.0% to 38.4% among men and from 17.0% to 13.0% among women during 2001-2016. The PD between manual and upper non-manual workers (25-64 years) increased from 11.9% (95% confidence interval [CI], 11.0-12.9%) to 14.6% (95% CI, 13.5-15.6%) during 2001-2016. In 2016, smoking prevalence (25-64 years) for low, middle, and highly educated individuals were 57.8%, 43.9%, and 27.8% for men, and 34.7%, 15.9%, and 5.6% for women, respectively. SII and RII by educational level increased among both sexes. Larger socioeconomic differences in smoking prevalence were observed in younger generations, which suggests that socioeconomic inequalities in smoking evolve in a cohort pattern. CONCLUSIONS: Socioeconomic inequalities in smoking widened between 2001 and 2016 in Japan, which indicates that health inequalities will continue to exist in near future.

Effect of reduced formal care availability on formal/informal care patterns and caregiver health: a quasi-experimental study using the Japanese long-term care insurance reform.

BACKGROUND: It is unclear how formal long-term care (LTC) availability affects formal /informal caregiving patterns and caregiver health. We tested the impact of reduced formal LTC availability on formal LTC service use, intensity of informal caregiving, and caregiver health. METHODS: Using a representative, repeated cross-sectional sample of Japanese caregivers providing care to co-resident family members from 2001 to 2016, we applied a difference-in-differences approach by observing caregivers before and after the major reform of the public Japanese LTC insurance (LTCI) in 2006. The reform reduced coverage benefits for non-institutionalized older persons with low care needs, but not for those with high care needs. We analyzed 12,764 caregivers aged ≥30 years (mean age 64.3 ± 11.8 years, 73.5% women) and measured indicators of formal LTC use, hours of informal caregiving, and caregiver self-reported health outcomes after propensity score matching to balance caregivers' background characteristics. RESULTS: We found the 2006 LTCI reform relatively reduced the use of formal LTC services and relatively increased the percentage of experiencing long hours of informal caregiving (> 3 h per day) among the caregivers for seniors with low care needs compared to those for seniors with high care needs. The effects of the LTCI reform for the caregivers for seniors with low care needs were 2.2 percentage point higher on caregivers' experiencing poor self-rated health (95% confidence interval [CI]: 0.7-3.7; p = 0.01), 2.7 percentage point higher on experiencing symptoms of a depressive state (95%CI: 0.5-4.8; p = 0.03), and 4.7 percentage point higher on experiencing symptoms of musculoskeletal diseases (95%CI, 3.6-5.7; p < 0.001), compared to those for seniors with high care needs. CONCLUSIONS: Reduced formal care availability under the Japanese LTCI reform increased hours of informal caregiving corresponding to reduced use of formal LTC and deteriorated multiple dimensions of caregiver health. Our findings may highlight the importance of enhancing the availability of formal LTC services for caregiver health.

Physician Distribution by Specialty and Practice Setting: Findings in Japan in 2000, 2010 and 2016.

As the medical demand is projected to increase along with the population aging in Japan, the geographical distribution of physicians is a significant concern for society and policymakers. To implement effective measures on geographical physician distribution, this study aimed to describe and compare the distribution of physicians by specialty in 2000, 2010 and 2016 in Japan, and examine whether practice setting was associated with distribution. To quantify the geographical physician distribution by specialty, we calculated the Gini coefficients of physicians working at clinics or hospitals in 2000, 2010, and 2016. We used the basic geographic unit for medical care planning in Japan, a secondary medical area, as the study unit. To show the association between the geographical distribution of physicians in each specialty and their practice setting, we categorized specialties into two groups by the proportion of physicians in that specialty working in hospitals, and showed aggregated Lorenz curves for each category. The overall geographical distribution of physicians appeared to improve during the study period, but varied by specialty. Those in specialties, where at least 90% of physicians work in hospitals such as anesthesiologists and radiologists, were more clustered, as shown by the Lorenz curves and the Gini coefficients. Similar distributional differences were also found even when we excluded physicians working in clinics, meaning that the distributional variation could be explained by other factors than the distribution of hospitals. These results suggest that the nature of practice in each specialty strongly affects the geographical distribution of specialists.

Diagnosis and medical care for congenital cytomegalovirus infection: An observational study using claims data in Japan, 2010 to 2017.

Although early detection and intervention may improve the outcome of the congenital cytomegalovirus (cCMV) infection, few studies assessed the real-world clinical practice for cCMV patients. We analyzed medical claims data to assess the patterns of diagnoses and medical care for cCMV patients.We used a subset of medical claims database (JMDC Claims Database) in Japan, covering 207,547 newborns between April 2010 and March 2017 and observed for at least 6 months. The diagnosis of cCMV and related symptoms and sequelae and medical care, including essential examinations and antiviral treatment, were identified using standardized codes.Overall, we identified 53 (25.5 per 100,000 newborns) cCMV patients diagnosed within 6 months after birth; of these, 83% were diagnosed within 1 month and 68% had at least 1 cCMV-related symptom at birth. Objective hearing tests and fundus examinations were performed within 6 months in 60% and 30% of patients, respectively. Antivirals were prescribed in 26% of patients. During the observation period (median = 33 months), sensorineural hearing loss (49%) and developmental problems (28%) were commonly identified as cCMV-related sequelae. The proportions of the patients continuously followed up with objective hearing tests up to 36 months were 30% in total and 56% in antiviral-treated patients, respectively.The cCMV patients did not necessarily receive a timely diagnosis nor continuous follow-ups in usual clinical practice. Although the universal screening for cCMV may, if implemented, facilitate early diagnosis, it should be accompanied by strategic follow-up plans to support timely interventions.

Comparison of effectiveness and drug cost between dipeptidyl peptidase-4 inhibitor and biguanide as the first-line anti-hyperglycaemic medication among Japanese working generation with type 2 diabetes.

AIMS AND OBJECTIVES: Dipeptidyl peptidase-4 inhibitor (DPP4i) is widely used for the treatment of type 2 diabetes (T2DM) in several countries such as Japan, whereas biguanide (BG; mostly metformin) is recommended as a first-line antidiabetic medication in many countries according to evidence mainly from Western countries. Although previous studies reported that DPP4i may be more efficacious for East Asians, direct comparisons of effectiveness and cost between DPP4i and BG have never been conducted in East Asia. METHODS: We extracted claims and medical check-up data (observation period from January 2010 to March 2016) of adult patients under 70 years old with T2DM who received DPP4i or BG as first-line antidiabetic drugs. Changes in HbA1c and BMI before and 2 years after the first prescription and annual cost of antidiabetic medication during the second year were compared between the DPP4i and BG groups. RESULTS: We extracted 1034 patients who received DPP4i and 365 patients who received BG as the first antidiabetic medication (male sex, 83.0% and 84.9%; HbA1c (mean [SD]), 7.7 [1.4]% and 7.9 [1.4]%; BMI, 26.6 [4.5] kg/m2 and 28.1 [4.3] kg/m2 ). After propensity score matching, changes in HbA1c and BMI were not significantly different between the groups (HbA1c, -0.67% vs -0.80% [P = .28]; BMI, -0.3 kg/m2 vs -0.4 kg/m2 [P = .42]). Annual cost of antidiabetic drugs was significantly higher in the DPP4i group (US $458.7 vs 273.3 [P < .001]). Many patients continued each medication at the follow-up visit (78.3% of the DPP4i group and 73.7% of the BG groups). CONCLUSIONS: The first antidiabetic prescription for the patient was mostly continued thereafter. BG may be recommendable as the first-line medication for patients with T2DM, especially for middle-aged, male population with greater BMI. It is worth addressing the discrepancy between practice in Japan and that recommended in international guidelines.

Occupational disparities in bladder cancer survival: A population-based cancer registry study in Japan.

BACKGROUND: Little is known about occupational disparities in bladder cancer survival. METHODS: Using data from a population-based cancer registry (1970-2016), we identified 3593 patients with incident bladder cancer diagnosed during 1970-2011 who completed occupational information. The patients were followed for 5 years (median follow-up time 5.0 years). Their longest-held occupations at incident bladder cancer diagnosis were classified according to a national standardized classification. Hazard ratios (HRs) and 95% confidence intervals (CIs) for overall death were estimated by Cox proportional hazard model, adjusted for age, sex, and year of diagnosis. Clerical workers served as the reference group. RESULTS: Overall prognosis was fair in this population (5-year overall survival, 61.9%). Compared with patients in clerical jobs, survival was poorer for those in professional and managerial jobs (mortality HR 1.36; 95% CI 1.09-1.69), sales and service jobs (HR 1.25, 95% CI 1.01-1.56), construction jobs (HR 1.83, 95% CI 1.40-2.38), and manufacturing jobs (HR 1.32, 95% CI 1.05-1.66), as well as those not actively employed (HR 1.27, 95% CI 1.02-1.58). A similar pattern was observed in the subgroup analyses restricted to male patients as well as additional analyses adjusted for potential prognostic variables (eg, stage) with multiple imputation. CONCLUSION: We documented occupational disparities in bladder cancer survival in Japan. However, the pattern of disparity did not favor highest occupational groups.

Can income-based co-payment rates improve disparity? The case of the choice between brand-name and generic drugs.

BACKGROUND: Higher income population tend to prefer brand-name to generic drugs, which may cause disparity in access to brand-name drugs among income groups. A potential policy that can resolve such disparity is imposing a greater co-payment rate on high-income enrollees. However, the effects of such policy are unknown. We examined how patients' choice between brand-name and generic drugs are affected by the unique income-based co-payment rates in Japan; 10% for general enrollees and 30% for those with high income among the elderly aged 75 and over. METHODS: We drew on cross-sectional price variation among commonly prescribed 311 drugs using health insurance claims data from a large prefecture in Japan between October 2013 and September 2014 to identify between-income-group differences in responses to differentiated payments. RESULTS: Running 311 multivariate logistic regression models controlling individual demographics, the median estimate indicated that high-income group was 3% (odds ratio = 0.97) less likely to choose a generic drug than the general-income group and the interquartile estimates ranged 0.92-1.02. The multivariate feasible generalized least squares model indicated high-income group's higher likelihood to choose brand-name drugs than the general-income group without co-payment rate differentiation (p < 0.001). Such gap in the likelihood was attenuated by 0.4% (p = 0.027) with an US$1 increase in the difference in additional payment/month for brand-name drugs between income groups - no gap with US$10 additional payment/month. This attenuation was observed in drugs for chronic diseases only, not for acute diseases. CONCLUSIONS: Income-based co-payment rates appeared to reduce disparity in access to brand-name drugs across income groups, in addition to reducing total medical expenditure among high-income group who shifted from brand-name drugs to generic ones due to larger drug price differences.