BackgroundInequalities in access to stroke care and the workload of physicians have been a challenge in recent times. This may be resolved by allocating physicians suitable for the expected demand. Therefore, this study analyzes whether reallocation using an optimization model reduces disparities in spatial access to healthcare and excessive workload.MethodsThis study targeted neuroendovascular specialists and primary stroke centers in Japan and employed an optimization model for reallocating neuroendovascular specialists to reduce the disparity in spatial accessibility to stroke treatment and workload for neuroendovascular specialists in Japan. A two-step floating catchment area method and an inverted two-step floating catchment area method were used to estimate the spatial accessibility and workload of neuroendovascular specialists as a potential crowdedness index. Quadratic programming has been proposed for the reallocation of neuroendovascular specialists.ResultsThe reallocation of neuroendovascular specialists reduced the disparity in spatial accessibility and the potential crowdedness index. The standard deviation (SD) of the demand-weighted spatial accessibility index improved from 125.625 to 97.625. Simultaneously, the weighted median spatial accessibility index increased from 2.811 to 3.929. Additionally, the SD of the potential crowdedness index for estimating workload disparity decreased from 10,040.36 to 5934.275 after optimization. The sensitivity analysis also showed a similar trend of reducing disparities.ConclusionsThe reallocation of neuroendovascular specialists reduced regional disparities in spatial accessibility to healthcare, potential crowdedness index, and disparities between facilities. Our findings contribute to planning health policies to realize equity throughout the healthcare system.

ObjectiveTo investigate symptomatic and preventive medication use according to age and frailty in Australian and Japanese nursing homes (NHs).MethodsSecondary cross-sectional analyses of two prospective cohort studies involving 12 Australian NHs and four Japanese NHs. Frailty was measured using the FRAIL-NH scale (non-frail 0–2; frail 3–6; most-frail 7–14). Regular medications were classified as symptomatic or preventive based on published lists and expert consensus. Descriptive statistics were used to compare the prevalence and ratio of symptomatic to preventive medications.ResultsOverall, 550 Australian residents (87.7 ± 7.3 years; 73.3% females) and 333 Japanese residents (86.5 ± 7.0 years; 73.3% females) were included. Australian residents used a higher mean number of medications than Japanese residents (9.8 ± 4.0 vs 7.7 ± 3.7, p < 0.0001). Australian residents used more preventive than symptomatic medications (5.5 ± 2.5 vs 4.3 ± 2.6, p < 0.0001), while Japanese residents used more symptomatic than preventive medications (4.7 ± 2.6 vs 3.0 ± 2.2, p < 0.0001). In Australia, symptomatic medications were more prevalent with increasing frailty (non-frail 3.4 ± 2.6; frail 4.0 ± 2.6; most-frail 4.8 ± 2.6, p < 0.0001) but less prevalent with age (< 80 years 5.0 ± 2.9; 80–89 years 4.4 ± 2.6; ≥ 90 years 3.9 ± 2.5, p = 0.0042); while preventive medications remained similar across age and frailty groups. In Japan, there was no significant difference in the mean number of symptomatic and preventive medications irrespective of age and frailty.ConclusionsThe ratio of symptomatic to preventive medications was higher with increasing frailty but lower with age in Australia; whereas in Japan, the ratio remained consistent across age and frailty groups. Preventive medications remained prevalent in most-frail residents in both cohorts, albeit at lower levels in Japan.

With rising worldwide population aging, the number of homebound individuals with multimorbidity is increasing. Improvement in the quality of home medical care (HMC), including medications, contributes to meeting older adults' preference for "aging in place" and securing healthcare resources. To evaluate the changes in drug prescriptions, particularly potentially inappropriate medications (PIMs), among older adults receiving HMC in recent years, during which measures addressing inappropriate polypharmacy were implemented, including the introduction of clinical practice guidelines and medical fees for deprescribing. A cross-sectional study. Using data from the national claims database in Japan, this study included older adults aged ≥ 75years who received HMC in October 2015 (N = 499,850) and October 2019 (N = 657,051). Number of drugs, prevalence of polypharmacy (≥ 5 regular drugs), major drug categories/classes, and PIMs according to Japanese guidelines were analyzed. Random effects logistic regression models were used to evaluate the differences in medications between 2015 and 2019, considering the correlation within individuals who contributed to the analysis in both years. The number of drugs remained unchanged from 2015 to 2019 (median: 6; interquartile range: 4, 9). The prevalence of polypharmacy also remained unchanged at 70.0% in both years (P = 0.93). However, the prescription of some drugs (e.g., direct oral anticoagulants, new types of hypnotics, acetaminophen, proton pump inhibitors, and β-blockers) increased, whereas others (e.g., warfarin, vasodilators, H2 blockers, acetylcholinesterase inhibitors, and benzodiazepines) decreased. Among the frequently prescribed PIMs, benzodiazepines/Z-drugs (25.6% in 2015 to 21.1% in 2019; adjusted odds ratio: 0.52) and H2 blockers (11.2 to 7.3%; 0.45) decreased, whereas diuretics (23.8 to 23.6%; 0.90) and antipsychotics (9.7 to 10.5%; 1.11) remained unchanged. We observed some favorable changes but identified some continuous and new challenges. This study suggests that continued attention to medication optimization is required to achieve safe and effective HMC.

Introduction: The COVID-19 pandemic has led to a decrease in demand for medical services in Japan, but the utilization of telehealth, which the Japanese government has recently promoted, has seen a temporary increase. This study aims to analyze the trend of telehealth utilization and changes in patient characteristics following the policy response to COVID-19. Methods: This retrospective study analyzed data from 26,152 adult patients who used telehealth for the first time between April 2019 and April 2021 in Mie Prefecture, Japan. An interrupted time series analysis was conducted to evaluate changes in the number of first-time patients before and after April 2020. Results: The number of telehealth users increased by 111.87% after April 2020, but the trend showed a declining slope thereafter. Patient characteristics and disease types showed different trends. The percentage of patients choosing a hospital over a clinic increased for the first time. Conclusions: After the policy response to COVID-19, the number of first-time telehealth users overall increased immediately, but gradually showed a declining trend. However, some diseases have shown both an immediate increase and a continued upward trend in telehealth utilization. Patients with these diseases may be candidates for adopting telehealth services in clinical settings.

ObjectivesThere are few reports on regional differences in the supply/utilisation balance and provision of rehabilitation services. This study analysed those regional differences in Japan to help policymakers provide more uniform and efficient rehabilitation services and optimally allocate related resources.DesignAn ecological study.Setting47 prefectures and 9 regions in Japan in 2017.Primary and secondary outcome measuresPrimary measures were ‘supply/utilisation (S/U) ratio’, calculated by dividing rehabilitation supply converted to service units, by rehabilitation utilisation and ‘utilisation/expected utilisation (U/EU) ratio’, calculated by dividing utilisation by EU. The EU was defined as utilisation expected from the demography in each area. Data required to calculate these indicators were collected from open sources such as the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data Japan.ResultsThe S/U ratios were higher in Shikoku, Kyusyu, Tohoku and Hokuriku regions, and lower in Kanto and Tokai regions. The number of rehabilitation providers per population was higher mostly in the western part of Japan and lower mostly in the eastern part. The U/EU ratios were also higher mostly in the western part, and lower mostly in the eastern part such as Tohoku and Hokuriku regions. The same trend was seen for cerebrovascular disease and musculoskeletal disorder rehabilitation, which accounted for approximately 84% of rehabilitation services. For disuse syndrome rehabilitation, such a trend did not exist, and the U/EU ratio differed by prefectures.ConclusionsThe large surplus in rehabilitation supply in the western part was attributed to the greater number of providers, while the smaller surplus in Kanto and Tokai regions was due to the smaller amount of supply. The number of rehabilitation services used was lesser in the eastern part such as Tohoku and Hokuriku regions, indicating regional differences in the provision of rehabilitation services.

Objectives　As the birthrate declines and the population ages, increase in the number of older adults certified as requiring long-term care and shortage of care staff are important issues to be considered. This study developed a sub-staff training program that trains community residents as sub-staff (paid auxiliary staff who possess knowledge and skills in care prevention and confidentiality) to provide care for enhancing independence of older adults with the support of staff in day-care facilities. The study also examined the program's feasibility and key factors, through the introduction of practical examples and surveys, for implementation in care prevention projects of local governments.Methods　The four-month training program included lectures on care prevention and provided job training to ensure participants understood the goals and contents of the care plan and learnt to provide care services with the assistance of facility staff. The training program was conducted at 14 facilities in Tokyo and Chiba from 2015 to 2017. The evaluation focused on the completion rate, change in understanding of care prevention and confidence regarding activities at the facility and in the community, participation in community activities after program completion, the psychological impact on care service recipients, and the perception of workload reduction by the facility staff.Results　A total of 96 out of 104 participants completed the training program (completion rate of 92.3%). The survey results showed that participants' confidence in activities at the facilities and understanding of care prevention increased significantly; 65.3% participated in new community activities after program completion, including activities at the facilities. The results of the survey of care service recipients showed that negative psychological effects did not increase among those who received care services from the participants compared to those who did not receive care from participants. Among the facility staff, 85.7% indicated that their workload had reduced after the community residents' participation in care services.Conclusion　The training program improved participants' confidence in care-related activities and their understanding of care prevention. More than half of them engaged in new community activities afterwards. Participants' provision of care services had a less negative impact on the service recipients and led to a reduction in workload for the facility staff. These results suggest high feasibility of the training program for care prevention projects.

Readmission-related health care reforms have shifted their focus from all-cause readmissions (ACR) to potentially avoidable readmissions (PAR). However, little is known about the utility of analytic tools from administrative data in predicting PAR. This study determined whether 30-day ACR or 30-day PAR is more predictable using tools that assess frailty, comorbidities, and activities of daily living (ADL) from administrative data. This retrospective cohort study was conducted at a large general acute care hospital in Tokyo, Japan. We analyzed patients aged ≥70 years who had been admitted to and discharged from the subject hospital between July 2016 and February 2021. Using administrative data, we assessed each patient's Hospital Frailty Risk Score, Charlson Comorbidity Index, and Barthel Index on admission. To determine the influence of each tool on readmission predictions, we constructed logistic regression models with different combinations of independent variables for predicting unplanned ACR and PAR within 30 days of discharge. Among 16 313 study patients, 4.1% experienced 30-day ACR and 1.8% experienced 30-day PAR. The full model (including sex, age, annual household income, frailty, comorbidities, and ADL as independent variables) for 30-day PAR showed better discrimination (C-statistic: 0.79, 95% confidence interval: 0.77-0.82) than the full model for 30-day ACR (0.73, 0.71-0.75). The other prediction models for 30-day PAR also had consistently better discrimination than their corresponding models for 30-day ACR. PAR is more predictable than ACR when using tools that assess frailty, comorbidities, and ADL from administrative data. Our PAR prediction model may contribute to the accurate identification of at-risk patients in clinical settings who would benefit from transitional care interventions.

ObjectiveJapan's national-level healthcare insurance claims database (NDB) is a collective database that contains the entire information on healthcare services being provided to all citizens. However, existing anonymized identifiers (ID1 and ID2) have a poor capability of tracing patients' claims in the database, hindering longitudinal analyses. This study presents a virtual patient identifier (vPID), which we have developed on top of these existing identifiers, to improve the patient traceability. MethodsvPID is a new composite identifier that intensively consolidates ID1 and ID2 co-occurring in an identical claim to allow to collect claims of each patient even though its ID1 or ID2 may change due to life events or clerical errors. We conducted a verification test with prefecture-level datasets of healthcare insurance claims and enrollee history records, which allowed us to compare vPID with the ground truth, in terms of an identifiability score (indicating a capability of distinguishing a patient's claims from another patient's claims) and a traceability score (indicating a capability of collecting claims of an identical patient). ResultsThe verification test has clarified that vPID offers significantly higher traceability scores (0.994, Mie; 0.997, Gifu) than ID1 (0.863, Mie; 0.884, Gifu) and ID2 (0.602, Mie; 0.839, Gifu), and comparable (0.996, Mie) and lower (0.979, Gifu) identifiability scores. DiscussionvPID is seemingly useful for a wide spectrum of analytic studies unless they focus on sensitive cases to the design limitation of vPID, such as patients experiencing marriage and job change, simultaneously, and same-sex twin children. ConclusionvPID successfully improves patient traceability, providing an opportunity for longitudinal analyses that used to be practically impossible for NDB. Further exploration is also necessary, in particular, for mitigating identification errors.

The NDB Open Data are publicly available on the website: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000177182.html.

IntroductionThe association between the physical health of older people and the frequency of going out has been reported, and in recent years, local governments have developed transportation support programs for older people. Although previous studies show an association between the frequency of going out and functional health status, little has been reported on the impact of the choice of means of transport on instrumental activities of daily living (IADL).ObjectiveTo evaluate the association between choice of transportation means and the risk of decline in IADL among older adults.MethodsWe conducted an observational, population (community-dwelling)-based cohort study using data from the Resident Health Status Survey, and longitudinal panel data at 2-time points in 2016 and 2019. In addition, we combined this panel data and a database on people who were certified as requiring long-term care to identify participants’ IADL. The propensity score matching method was used to classify the respondents into two groups, “active means of transportation” and “passive means of transportation,“ and determine the risk of a decline in means-tested independence after 3 years.ResultsActive means were used by 6,280 (76.2%) and passive means were used by 1,865 (22.6%). 999 (12.1%) individuals declined in IADL in 2019. The results of the comparison by balancing the attributes of “active means of transportation” and “passive means of transportation,“ with propensity score matching, showed that “passive means of transportation” were more likely to be “active” than “passive means of transportation,“ and “active” was more likely to be “passive” The risk of IADL decline was significantly higher than that of “active means of transportation” with an RR of 1.93 (95% CI: 1.62–2.30).ConclusionPassive means of transportation in older adults could be a possible risk for decreasing IADL 3 years later. Increasing the number of opportunities and places in the community for older adults to use active means of transportation may be effective in encouraging socially independent living among older adults.