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Gastroenteritis is one of the most common infectious diseases, characterized by rapid onset of diarrhea with or without nausea, vomiting, fever, and abdominal pain (1,2). Enteric viruses and bacteria are [...]

Background: Previous studies have demonstrated geographical disparities regarding the quality of care for acute myocardial infarction (AMI). The aim of this study was two-fold: first, to calculate the proportion of patients with AMI who received primary percutaneous coronary interventions (pPCIs) by secondary medical areas (SMAs), which provide general inpatient care, as a quality indicator (QI) of the process of AMI practice. Second, to identify patterns in their trajectories and to investigate the factors related to regional differences in their trajectories. Methods: We included patients hospitalized with AMI between April 2014 and March 2020 from the national health insurance claims database in Japan and calculated the proportion of pPCIs across 335 SMAs and fiscal years. Using these proportions, we conducted group-based trajectory modeling to identify groups that shared similar trajectories of the proportions. In addition, we investigated area-level factors that were associated with the different trajectories. Results: The median (interquartile range) proportions of pPCIs by SMAs were 63.5% (52.9% to 70.5%) in FY 2014 and 69.6% (63.3% to 74.2%) in FY 2020. Four groups, named low to low (LL; n = 48), low to middle (LM; n = 16), middle to middle (MM; n = 68), and high to high (HH; n = 208), were identified from our trajectory analysis. The HH and MM groups had higher population densities and higher numbers of physicians and cardiologists per capita than the LL and LM groups. The LL and LM groups had similar numbers of physicians per capita, but the number of cardiologists per capita in the LM group increased over the years of the study compared with the LL group. Conclusion: The trajectory of the proportion of pPCIs for AMI patients identified groups of SMAs. Among the four groups, the LM group showed an increasing trend in the proportions of pPCIs, whereas the three other groups showed relatively stable trends. [ABSTRACT FROM AUTHOR]

Objective Study Setting and Design Data Sources and Analytic Sample Principal Findings Conclusion To examine the early effects of the financial incentive (FI) implemented in April 2022 in Japan for surgeries within 48 h after hip fracture (HF) in patients aged 75 and older on expedited HF surgery (EHFS), in‐hospital mortality, perioperative morbidity, length of stay (LOS) and inpatient medical expenses (IMEs).We conducted a quasi‐experimental study and constructed segmented regression models for controlled interrupted time‐series analyses, assuming a Poisson distribution, to evaluate the slope changes (SCs) in the outcomes of interest before and after the introduction of the FI.We used Diagnosis Procedure Combination data from the Quality Indicator/Improvement Project database between 1 April 2018 and 31 March 2023. Patients aged 50 years or older who were hospitalized with a diagnosis of HF and underwent surgery for HF were included.A total of 82,163 patients from 183 hospitals were included in the analyses. In the age group of 75 years and older, increasing trends in the number of EHFSs were observed even before the introduction of the FI, while before and after the introduction of the FI, none of the SCs in the monthly number of EHFSs within 2 days, within 1 day, and on the day of admission were statistically significant (incident rate ratio: 1.0043, 95% confidence interval [CI]: [0.9977–1.0111], 1.0068 [0.9987–1.0149], 1.0073 [0.9930–1.0219]). Nor were any of the SCs in in‐hospital deaths, perioperative complications, LOS, and IMEs statistically significant. Additionally, there were no statistical differences in the SCs for any of the outcomes between the two age groups.This study suggested that there was no significant, short‐term effect of the FI for surgeries within 48 h after HF on any of the outcomes of interest. [ABSTRACT FROM AUTHOR]

Type II diabetes mellitus is a global public health challenge, necessitating robust epidemiological investigations. The majority of evidence reports prevalence as estimations of incidence requiring longitudinal cohort studies that are challenging to conduct. However, this has been addressed by the secondary use of existing health insurance claims data. The current study aimed to examine the incidence of type II diabetes mellitus using existing claims and ledger data. The National Health Insurance and medical care system databases were used to extract type II diabetes mellitus (defined as ICD10 codes E11$–14$) claims data over a period of 5 years for individuals over 40 years old living in one city in Japan. Prevalence was calculated, and insured individuals whose data could be tracked over the entire study period were included in the subsequent analyses. Therefore, annual incidence was calculated by estimating differences in prevalence by year. Data analyses were stratified by sex and age group, and a model analysis was conducted to account for these variables. Overall, the prevalence, diabetes medication usage, and insulin usage were 26.3%, 12.1%, and 2.0%, respectively. Annual incidence of type II diabetes mellitus ranged between 1.2% and 4.6%. Both prevalence and incidence tended to be higher in males and peaked around 60–80 years old. The overall annual incidence was estimated at 3.03% (95% CI: 2.21%–3.85%). The annual incidence was not always associated with a low risk, indicating a consistent risk from middle age onward, although the level of risk varied with age. The current study successfully integrated existing claims and ledger data to explore incidence, and this methodology could be applied to a range of injuries and illnesses in the future. [ABSTRACT FROM AUTHOR]

Aim: Living‐donor liver transplantation (LDLT) is a highly effective life‐saving procedure; however, it requires substantial medical resources, and the cost‐effectiveness of LDLT versus conservative management (CM) for adult patients with end‐stage liver disease (ESLD) remains unclear in Japan. Methods: We performed a cost‐effectiveness analysis using the Diagnostic Procedure Combination (DPC) data from the nationwide database of the DPC research group. We selected adult patients (18 years or older) who were admitted or discharged between 2010 and 2021 with a diagnosis of ESLD with Child–Pugh class C or B. A decision tree and Markov model were constructed, and all event probabilities were computed in 3‐month cycles over a 10‐year period. The willingness‐to‐pay per quality‐adjusted life‐year (QALY) was set at 5 million Japanese yen (JPY) (49,801 US dollars [USD]) from the perspective of the public health‐care payer. Results: After propensity score matching, we identified 1297 and 111,849 patients in the LDLT and CM groups, respectively. The incremental cost‐effectiveness ratio for LDLT versus CM for Child–Pugh classes C and B was 2.08 million JPY/QALY (20,708 USD/QALY) and 5.24 million JPY/QALY (52,153 USD/QALY), respectively. The cost‐effectiveness acceptability curves showed the probabilities of being below the willingness‐to‐pay of 49,801 USD/QALY as 95.4% in class C and 48.5% in class B. Tornado diagrams revealed all variables in class C were below 49,801 USD/QALY while their ranges included or exceeded 49,801 USD/QALY in class B. Conclusions: Living‐donor liver transplantation for adult patients with Child–Pugh class C was cost‐effective compared with CM, whereas LDLT versus CM for class B patients was not cost‐effective in Japan. [ABSTRACT FROM AUTHOR]

Although medical and long‐term care expenditures for older adults are closely related, providing rigorous statistical analysis for their dynamic relationship is challenging. In this research, we propose a novel approach using the panel vector autoregression model to reveal the realized patterns of the interdependence. As an empirical application, we analyze monthly panel data on individuals in a city of Japan, where social insurance covers many formal services for long‐term care. Our estimation results indicate the existence of intertemporal transition from expensive acute medical care to reasonable at‐home medical care, then to at‐home long‐term care. Under this context, the enhancement of formal long‐term care sector in Japan might have played an important role in the suppression of the total care cost in spite for its rapid aging over the past 2 decades. Additionally, we find that daycare plays multiple roles in Japanese long‐term care, such as respite and rehabilitation, but there is no considerable transition from outpatient rehabilitation to daycare in the long‐term care sector. [ABSTRACT FROM AUTHOR]

Purpose To comparatively examine in-hospital mortality among different underweight body mass index (BMI) categories in pancreatic cancer patients after pancreatectomy in Japan. Methods We conducted a large-scale multi-center retrospective cohort study of adult patients with pancreatic cancer who underwent pancreatectomy between April 1, 2010 and March 31, 2016. Patients were classified according to BMI as follows: normal BMI (18.50-24.99 kg/m.sup.2), mild thinness (17.00-18.49 kg/m.sup.2), moderate thinness (16.00-16.99 kg/m.sup.2), and severe thinness (< 16.00 kg/m.sup.2). A multivariable logistic regression analysis was performed with in-hospital mortality as the dependent variable and BMI groups as the main independent variable of interest. Results We analyzed 6173 patients from 332 hospitals. The results showed that the severe thinness group had a longer postoperative hospital stay (34.4 ± 25.6 days) and higher incidence of postoperative pneumonia (5.5%) than the other groups. The generalized estimating equations accounted for patient demographics, surgical procedure, anesthetic technique, activities of daily living score, and Charlson comorbidity index as covariates. Relative to the normal BMI group, the odds ratios for in-hospital mortality were 0.57 (95% confidence interval: 0.26-1.24; P = 0.16) in the mild thinness group, 1.49 (0.64-3.48; P = 0.36) in the moderate thinness group, and 2.54 (1.05-6.08; P = 0.04) in the severe thinness group. Conclusion Severe thinness was significantly associated with a higher risk of mortality, and extremely low BMI should be considered a risk factor in pancreatectomy patients., Author(s): Takeshi Umegaki [sup.1] , Susumu Kunisawa [sup.2] , Masaya Kotsuka [sup.3] , So Yamaki [sup.3] , Takahiko Kamibayashi [sup.1] , Yuichi Imanaka [sup.2] Author Affiliations: (Aff1) grid.410783.9, Department of [...]

Background: Recently, real‐world data have been recognized to have a significant role for research and quality improvement worldwide. The decision on the existence or nonexistence of postoperative complications is complex in clinical practice. This multicenter validation study aimed to evaluate the accuracy of identification of patients who underwent gastrointestinal (GI) cancer surgery and extraction of postoperative complications from Japanese administrative claims data. Methods: We compared data extracted from both the Diagnosis Procedure Combination (DPC) and chart review of patients who underwent GI cancer surgery from April 2016 to March 2019. Using data of 658 patients at Kyoto University Hospital, we developed algorithms for the extraction of patients and postoperative complications requiring interventions, which included an invasive procedure, reoperation, mechanical ventilation, hemodialysis, intensive care unit management, and in‐hospital mortality. The accuracy of the algorithms was externally validated using the data of 1708 patients at two other hospitals. Results: In the overall validation set, 1694 of 1708 eligible patients were correctly extracted by DPC (sensitivity 0.992 and positive predictive value 0.992). All postoperative complications requiring interventions had a sensitivity of >0.798 and a specificity of almost 1.000. The overall sensitivity and specificity of Clavien–Dindo ≥grade IIIb complications was 1.000 and 0.995, respectively. Conclusion: Patients undergoing GI cancer surgery and postoperative complications requiring interventions can be accurately identified using the real‐world data. This multicenter external validation study may contribute to future research on hospital quality improvement or to a large‐scale comparison study among nationwide hospitals using real‐world data. [ABSTRACT FROM AUTHOR]

Introduction: The present study aimed to investigate the postoperative mortality due to all surgeries at the prefectural level using a nationwide diagnosis procedure combination (DPC) database in Japan and to evaluate the data according to temporal changes and regional differences. Methods: Data were provided in accordance with the guidelines indicated on the Ministry of Health, Labor and Welfare, Japan. The number of cases and in-hospital mortality were calculated for each representative surgery for each hospitalization according to fiscal year of discharge from 2011 to 2018 and according to prefecture. Values of ≥10 in each aggregated data cell were presented. Results and discussion: The aggregated result data contain 474,154 records, with about 2,000 different surgical codes. More than 10 mortalities were recorded in only 16,890 data cells, which can be used in the mortality analysis. In the analyses of artificial head insertion, cerebral aneurysm neck clipping, coronary artery and aortic bypass grafting, and tracheotomy, regional differences and a declining trend were observed in some categories. Conclusion: In addition to considering categories that can be used in the analysis, careful consideration must be given to the inclusion of background context such as the quality of care. [ABSTRACT FROM AUTHOR]

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, guidance ("Japanese Guide") has been published by a working group of several academic societies and announced by the Ministry of Health, Labour, and Welfare. Steroids as a candidate treatment for COVID-19 were noted in the Japanese Guide. However, the prescription details for steroids, and whether the Japanese Guide changed its clinical practice, were unclear. This study aimed to examine the impact of the Japanese Guide on the trends in the prescription of steroids for COVID-19 inpatients in Japan. We selected our study population using Diagnostic Procedure Combination (DPC) data from hospitals participating in the Quality Indicator/Improvement Project (QIP). The inclusion criteria were patients discharged from hospital between January 2020 and December 2020, who had been diagnosed with COVID-19, and were aged 18 years or older. The epidemiological characteristics of cases and the proportion of steroid prescriptions were described on a weekly basis. The same analysis was performed for subgroups classified by disease severity. The study population comprised 8603 cases (410 severe cases, 2231 moderate II cases, and 5962 moderate I/mild cases). The maximum proportion of cases prescribed with dexamethasone increased remarkably from 2.5 to 35.2% in the study population before and after week 29 (July 2020), when dexamethasone was included in the guidance. These increases were 7.7% to 58.7% in severe cases, 5.0% to 57.2% in moderate II cases, and 1.1% to 19.2% in moderate I/mild cases. Although the proportion of cases prescribed prednisolone and methylprednisolone decreased in moderate II and moderate I/mild cases, it remained high in severe cases. We showed the trends of steroid prescriptions in COVID-19 inpatients. The results showed that guidance can influence drug treatment provided during an emerging infectious disease pandemic. [ABSTRACT FROM AUTHOR]

Background: Discharge planning enhances the safe and timely transfer of inpatients between facilities. Predicting the discharge destination of inpatients with aspiration pneumonia is important for discharge planning. We aimed to develop and validate prediction models for the discharge destination of elderly patients with aspiration pneumonia. Methods: Using a nationwide inpatient database, we identified aspiration pneumonia cases for patients aged ≥65 years who had been admitted to hospital from their home or from a nursing home between April 2020 and March 2021. We divided the cases into derivation and validation cohorts according to the location of the admitting hospital. We developed two prediction models by dividing the cases based on the patient's place of residence prior to admission, one model to predict the home discharge of cases admitted from home and the other to predict the home or to a nursing home discharge of cases admitted from a nursing home. The models were internally validated with bootstrapping and internal-externally validated using a validation cohort. Nomograms that could be used easily in clinical practice were also created. Results: The derivation cohort included 19,746 cases admitted from home and 14,359 cases admitted from a nursing home. Of the former, 10,760 (54.5%) cases were discharged home; from the latter, 7,071 (49.2%) were discharged to either home or a nursing home. The validation cohort included 6,262 cases admitted from home and 6,352 cases admitted from a nursing home. In the internal-external validation, the C-statistics of the final model for the cases admitted from home and the cases admitted from a nursing home were 0.71 and 0.67, respectively. Conclusions: We developed and validated new prediction models for the discharge of elderly patients with aspiration pneumonia either to home or to a nursing home. Our models and nomograms could facilitate the early implementation of discharge planning. [ABSTRACT FROM AUTHOR]

Background: Maintaining critical care for non-Coronavirus-disease-2019 (non-COVID-19) patients is a key pillar of tackling the impact of the COVID-19 pandemic. This study aimed to reveal the medium-term impacts of the COVID-19 epidemic on case volumes and quality of intensive care for critically ill non-COVID-19 patients. Methods: Administrative data were used to investigate the trends in case volumes of admissions to intensive care units (ICUs) compared with the previous years. Standardized mortality ratios (SMRs) of non-COVID-19 ICU patients were calculated in each wave of the COVID-19 epidemic in Japan. Results: The ratios of new ICU admissions of non-COVID-19 patients to those in the corresponding months before the epidemic: 21% in May 2020, 8% in August 2020, 9% in February 2021, and 14% in May 2021, approximately concurrent with the peaks in COVID-19 infections. The decrease was greatest for new ICU admissions of non-COVID patients receiving invasive mechanical ventilation (IMV) on the first day of ICU admission: 26%, 15%, 19%, and 19% in the first, second, third, and fourth waves, respectively. No statistically significant change in SMR was observed in any wave of the epidemic; SMRs were 0.990 (95% uncertainty interval (UI), 0.962–1.019), 0.979 (95% UI, 0.953–1.006), 0.996 (95% UI, 0.980–1.013), and 0.989 (95% UI, 0.964–1.014), in the first, second, third, and fourth waves of the epidemic, respectively. Conclusions: Compared to the previous years, the number of non-COVID-19 ICU patients continuously decreased over the medium term during the COVID-19 epidemic. The decrease in case volumes was larger in non-COVID-19 ICU patients initially receiving IMV than those undergoing other initial treatments. The standardized in-hospital mortality of non-COVID-19 ICU patients did not change in any waves of the epidemic. [ABSTRACT FROM AUTHOR]

The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown that these networks contain information on medical cooperation. However, the usage patterns of multiple medical providers in a series of medical services have not been considered. In addition, these studies used only general network features to represent medical cooperation, but their expressive ability was low. To overcome these limitations, we analyzed the medical provider network to examine its overall contribution to the quality of healthcare provided by cooperation between medical providers in a series of medical services. This study focused on: i) the method of feature extraction from the network, ii) incorporation of the usage pattern of medical providers, and iii) expressive ability of the statistical model. Femoral neck fractures were selected as the target disease. To build the medical provider networks, we analyzed the patient claims data from a single prefecture in Japan between January 1, 2014 and December 31, 2019. We considered four types of models. Models 1 and 2 use node strength and linear regression, with Model 2 also incorporating patient age as an input. Models 3 and 4 use feature representation by node2vec with linear regression and regression tree ensemble, a machine learning method. The results showed that medical providers with higher levels of cooperation reduce the duration of hospital stay. The overall contribution of the medical cooperation to the duration of hospital stay extracted from the medical provider network using node2vec is approximately 20%, which is approximately 20 times higher than the model using strength. [ABSTRACT FROM AUTHOR]

Cardiovascular disease is a leading cause of death in the Kingdom of Bhutan, and early detection of hypertension is critical for preventing cardiovascular disease. However, health-seeking behavior, including blood pressure measurement, is infrequently investigated in Bhutan. Therefore, this study investigated factors related to blood pressure measurement in Bhutan. We performed a secondary data analysis of a target population of 1,962 individuals using data from the "2014 Bhutan STEPS survey data"as a cross-sectional study. Approximately 26% of those with hypertension who were detected during the STEPS survey had never had their blood pressure measured. Previous blood pressure measurement was significantly associated with age and working status in men (self-employed [odds ratio (OR): 0.219, 95% CI: 0.133–0.361], non-working [OR: 0.114, 95% CI: 0.050–0.263], employee [OR: 1.000]). Previous blood pressure measurement was significantly associated with higher income in women (Quartile-2 [OR: 1.984, 95% CI: 1.209–3.255], Quartile-1 [OR: 2.161, 95% CI: 1.415–3.299], Quartile-4 [OR: 1.000]). A family history of hypertension (OR: 2.019, 95% CI: 1.549–2.243) increased the likelihood of having experienced a blood pressure measurement in both men and women. Multivariate logistic regression showed that people with unhealthy lifestyles (high salt intake [adjusted odds ratio (AOR): 0.247, 95% confidence interval (CI): 0.068–0.893], tobacco use [AOR: 0.538, 95% CI: 0.380–0.761]) had a decreased likelihood of previous blood pressure measurement. To promote the early detection of hypertension in Bhutan, we suggest that more attention be paid to low-income women, non-working, self-employed, and low-income men, and a reduction of barriers to blood pressure measurement. Before the STEPS survey, a substantial number of hypertensive people had never had their blood pressure measured or were unconcerned about their health. As a result, we propose that early blood pressure monitoring and treatment for people with hypertension or at higher risk of hypertension be given increased emphasis. [ABSTRACT FROM AUTHOR]

The suppression of the first wave of COVID-19 in Japan is assumedly attributed to people's increased risk perception after acquiring information from the government and media reports. In this study, going out in public amidst the spread of COVID-19 infections was investigated by examining new polymerase chain reaction (PCR) positive cases of COVID-19 and its relationship to four indicators of people going out in public (the people flow, the index of web searches for going outside, the number of times people browse restaurants, and the number of hotel guests, from the Regional Economic and Social Analysis System (V-RESAS). Two waves of COVID-19 infections were examined using cross-correlation analysis. In the first wave, all four indicators of going out changed to be opposite the change in new PCR positive cases, showing a lag period of –1 to +6 weeks. In the second wave, the same relationship was only observed for the index of web searches for going outside, and two indicators showed the positive lag period of +6 to +12 weeks after the change in new PCR positive cases. Moreover, each indicator in the second wave changed differently compared to the first wave. The complexity of people's behaviors around going out increased in the second wave, when policies and campaigns were implemented and people's attitudes were thought to have changed. In conclusion, the results suggest that policies may have influenced people's mobility, rather than the number of new PCR positive cases. [ABSTRACT FROM AUTHOR]