In Japan, the increasing number of patients needing emergency medical care due to population aging is a major public health problem. Recently, emergency medicine in Japan has seen a growth in the number of Dedicated Emergency Physician Model style departments. We aimed to determine whether there is an association between Dedicated Emergency Physician Model emergency care and pre-hospital transportation time. We conducted a secondary analysis of a Japanese national pre-hospital database from 2010 to 2014. Three regions (group 1: Urayasu city and Ichikawa city in Chiba prefecture, group 2: Kamakura city, Chigasaki city, Fujisawa city and Zushi city in Kanagawa prefecture, and group 3: Fukui city in Fukui prefecture) were evaluated as Dedicated Emergency Physician Model emergency medicine areas. We compared transportation times in these areas with all municipalities in the same prefectures, and with a nearby area using multivariate linear regression with cluster adjustment. The variables used for adjustment are the time from Emergency Medical Services activation to the scene, month, day of the month, day of the week, time of day, age, gender, type of injury, severity, and location of call. Compared with all municipalities in each prefecture there were significant reductions in pre-hospital transportation time: 4.2 minutes (95% confidence interval, 0.9 to 7.5, p<0.05) in Group 1, 6.2 minutes (95%CI, 2.9 to 9.6, p<0.01) fin Group 2 and 7.5 minutes (95%CI, 6.0 to 9.0, p<0.01) in Group 3. Compared with nearby areas, there were statistically significant reductions in transportation time in Group 1, 6.8 minutes (95%CI, 0.7 to 12.8, p<0.05) and in Group 2, 6.8 minutes (95%CI, 3.7 to 9.9, p<0.05). There was a trend for reduced transportation time in Group 3, 2.3 minutes, (5.3 to -0.6, p<0.1). Areas with a Dedicated Emergency Physician Model are associated with reduced pre-hospital transportation time.

No abstract

Despite the huge attention on the long average hospital length of stay (LOS) in Japan, there are limited empirical studies on the impacts of the payment systems on LOS. In order to shed new light on this issue, we focus on the fact that reimbursement for hospital care is linked to the number of patient bed-days, where a "day" is defined as the period from one midnight to the next. This "midnight-to-midnight" definition may incentivize health care providers to manipulate hospital acceptance times in emergency patients, as patients admitted before midnight would have an additional day for reimbursement when compared with those admitted after midnight. We test this hypothesis using administrative data of emergency transportations in Japan from 2008 to 2011 (N = 2,146,498). The results indicate that there is a significant bunching in the number of acceptances at the emergency hospital around midnight; the number heaps a few minutes before midnight, but suddenly drops just after midnight. Given that the occurrence of emergency episode is random and the density is smooth during nighttime, bunching in the number of hospital acceptances around midnight suggests that hospital care providers shift the hospital acceptance times forward by hurrying-up to accept the patients. This manipulation clearly leads to longer LOS by one bed-day. In addition, the manipulation is observed in the prefectures where private hospitals mainly provide emergency medical services, suggesting hospital ownership is associated with the manipulation of hospital acceptance time.

No abstract

Purpose The Yoitoko check-up, a novel health check-up providing positive feedback, has been developed to promote health among older adults, and consists of several comprehensive geriatric assessment items. This report aimed to describe the details of the Yoitoko check-up and to explore the future possibility of the check-up by evaluating the participants’ short-term behavioral changes in terms of comprehensive functioning, using a before-after study design. Patients and Methods Four Yoitoko check-ups were conducted, at 3-month intervals, between December 2018 and September 2019. Study participants aged ≥65 years included those who had undergone ≥2 Yoitoko check-ups. The results of each visit after the second check-ups were retrospectively compared with those of the baseline, and the mean changes and the odds ratios were calculated using a paired t -test or a McNemar test, respectively. Results Of 84 participants, the results of 16 (19.0%) participants were analyzed. The mean (standard deviation) age was 75.3 (4.7) years. The mean Tokyo Metropolitan Institute of Gerontology Index of Competence score, a measure of high-level functional capacity, increased 0.9 (95% confidence interval; range, 0.2–1.5) points between the first and second visits. Conclusion We developed the Yoitoko check-up and introduced the details of it. Our study findings suggested that the Yoitoko check-up may further motivate older adults to improve their health and promote positive behavioral changes. Future studies are needed to evaluate the effectiveness of this novel assessment method.