The Prevalence of Duplicate Prescription of Oral Antibiotic Drugs in Outpatient Care among People Insured by Corporate Health Insurance Societies in Japan.

Inappropriate antimicrobial use is a global problem, especially because the use of antimicrobials in excess of appropriate doses is associated with increased antimicrobial resistance. Duplicate prescriptions are an issue contributing to inappropriate antimicrobial use. This study aimed to analyse antibiotic prescriptions during a specific month to examine the frequency of outpatients receiving duplicate antibiotic prescriptions and the associated determinants. Utilizing the Japan Medical Data Centre health insurance claim database, we retrospectively identified 527,110 insured individuals with at least one medicine prescription in October 2014. Data regarding age, gender, antibiotic drug usage, and health insurance status were extracted. Duplicate prescriptions entailed a patient receiving two or more prescriptions of systemic antibiotics from multiple facilities within one month. The risk factors for duplicate antibiotic prescriptions were evaluated using logistic regression analysis. Of the total sample, 131,709 individuals (25.0%) received antibiotics, and 24,529 of these individuals (18.6%) had duplicate prescriptions. Third-generation cephalosporins accounted for the largest proportion of prescriptions (37.4%). Duplicate prescriptions were significantly associated with sex, age, medical facilities, and health insurance status. These findings could help to identify patients at risk of duplicate antibiotic prescriptions, highlighting the need to promote proper antimicrobial use in both patients and medical professionals.

Impact of diabetes on mortality and hospitalization after dementia diagnosis: Health insurance claims data analysis.

AIM: Japan faces a public health challenge of dementia, further complicated by the increasing complications from diabetes within its rapidly aging population. This study assesses the impact of diabetes on mortality and hospitalization among individuals aged ≥75 years with new dementia diagnoses. METHODS: We analyzed administrative claims data in Japan from 73 324 individuals aged ≥75 years with dementia, of whom 17% had comorbid diabetes. Dementia and diabetes were identified from the International Classification of Diseases, Tenth Revision codes. We used Kaplan-Meier survival analysis, Cox proportional hazards analysis, and population attributable fractions (PAFs) to evaluate the impact on mortality and hospitalization after dementia diagnosis. RESULTS: One-year mortality and 1-year hospitalization probabilities in individuals with dementia and diabetes (10.3% and 31.7%, respectively) were higher than those without diabetes (8.3% and 25.4%, respectively). The adjusted hazard ratios for individuals with diabetes, as compared to those without, were 1.126 (95% confidence interval [CI], 1.040-1.220) for mortality and 1.191 (95% CI, 1.140-1.245) for hospitalization. The PAFs from the comorbidity of dementia and diabetes were 2.2% for mortality and 3.1% for hospitalization. Subgroup analysis showed that the PAFs were highest in men aged 75-79 years and women aged 80-84 years for mortality and in individuals aged 75-79 for hospitalization. CONCLUSION: During the early postdiagnosis period, comorbid diabetes increases mortality and hospitalization risks in older adults with dementia. The variation in disease burden across age groups underscores the need for age-specific health care strategies to manage comorbid diabetes in individuals with dementia. Geriatr Gerontol Int 2024; ••: ••-••.

External Validation of a Machine Learning Model for Schizophrenia Classification.

Background and Objective: Excellent generalizability is the precondition for the widespread practical implementation of machine learning models. In our previous study, we developed the schizophrenia classification model (SZ classifier) to identify potential schizophrenia patients in the Japanese population. The SZ classifier has exhibited impressive performance during internal validation. However, ensuring the robustness and generalizability of the SZ classifier requires external validation across independent sample sets. In this study, we aimed to present an external validation of the SZ classifier using outpatient data. Methods: The SZ classifier was trained by using online survey data, which incorporate demographic, health-related, and social comorbidity features. External validation was conducted using an outpatient sample set which is independent from the sample set during the model development phase. The model performance was assessed based on the sensitivity and misclassification rates for schizophrenia, bipolar disorder, and major depression patients. Results: The SZ classifier demonstrated a sensitivity of 0.75 when applied to schizophrenia patients. The misclassification rates were 59% and 55% for bipolar disorder and major depression patients, respectively. Conclusions: The SZ classifier currently encounters challenges in accurately determining the presence or absence of schizophrenia at the individual level. Prior to widespread practical implementation, enhancements are necessary to bolster the accuracy and diminish the misclassification rates. Despite the current limitations of the model, such as poor specificity for certain psychiatric disorders, there is potential for improvement if including multiple types of psychiatric disorders during model development.

Marital status after colorectal surgery in familial adenomatous polyposis: a nationwide multicenter study in Japan.

BACKGROUND: Patients with familial adenomatous polyposis (FAP) experience psychological and social challenges concerning future events such as marriage and childbirth alongside the medical risks of colorectal cancer (CRC) and FAP-related disease. We retrospectively investigated the rate of marriage and childbirth postoperatively in Japanese patients with FAP. METHODS: We included 161 patients who had colorectal surgery and reported marital status from a national survey of 35 Japanese institutions. Participants were classified according to marital status: married before colectomy (80 patients), married after colectomy (13 patients), and unmarried (68 patients). RESULTS: The marriage rate for all 161 patients (57.8%, standardized ratio 0.95, 95% confidence interval [CI] 0.76-1.14) was comparable to that in the general Japanese population (57.1%). The marriage rate among the 81 patients who were unmarried before colectomy was low (16.0%); however, the standardized marital ratio (0.75, 95% CI 0.34-1.15) was not significantly lower than that of the general population. In multivariable logistic regression, younger age (born after 1980, odds ratio [OR] 0.12, p < 0.001) and genetic testing (OR 4.06, p = 0.001) were associated with postoperative marriage. Seventy-one percent of patients with FAP who married after colectomy became pregnant and achieved delivery. CONCLUSIONS: The marriage rate of patients with FAP was comparable to that of the general population whereas the rate after colectomy was low among patients with FAP. However, in patients with FAP, colorectal surgery itself may not lead to negative consequences in terms of fecundity.

Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study.

BACKGROUND: In Japan, challenges were reported in accurately estimating the prevalence of schizophrenia among the general population. Retrieving previous studies, we investigated that patients with schizophrenia were more likely to experience poor subjective well-being and various physical, psychiatric, and social comorbidities. These factors might have great potential for precisely classifying schizophrenia cases in order to estimate the prevalence. Machine learning has shown a positive impact on many fields, including epidemiology, due to its high-precision modeling capability. It has been applied in research on mental disorders. However, few studies have applied machine learning technology to the precise classification of schizophrenia cases by variables of demographic and health-related backgrounds, especially using large-scale web-based surveys. OBJECTIVE: The aim of the study is to construct an artificial neural network (ANN) model that can accurately classify schizophrenia cases from large-scale Japanese web-based survey data and to verify the generalizability of the model. METHODS: Data were obtained from a large Japanese internet research pooled panel (Rakuten Insight, Inc) in 2021. A total of 223 individuals, aged 20-75 years, having schizophrenia, and 1776 healthy controls were included. Answers to the questions in a web-based survey were formatted as 1 response variable (self-report diagnosed with schizophrenia) and multiple feature variables (demographic, health-related backgrounds, physical comorbidities, psychiatric comorbidities, and social comorbidities). An ANN was applied to construct a model for classifying schizophrenia cases. Logistic regression (LR) was used as a reference. The performances of the models and algorithms were then compared. RESULTS: The model trained by the ANN performed better than LR in terms of area under the receiver operating characteristic curve (0.86 vs 0.78), accuracy (0.93 vs 0.91), and specificity (0.96 vs 0.94), while the model trained by LR showed better sensitivity (0.63 vs 0.56). Comparing the performances of the ANN and LR, the ANN was better in terms of area under the receiver operating characteristic curve (bootstrapping: 0.847 vs 0.773 and cross-validation: 0.81 vs 0.72), while LR performed better in terms of accuracy (0.894 vs 0.856). Sleep medication use, age, household income, and employment type were the top 4 variables in terms of importance. CONCLUSIONS: This study constructed an ANN model to classify schizophrenia cases using web-based survey data. Our model showed a high internal validity. The findings are expected to provide evidence for estimating the prevalence of schizophrenia in the Japanese population and informing future epidemiological studies.

Physical, Psychiatric, and Social Comorbidities of Individuals with Schizophrenia Living in the Community in Japan.

The physical, psychiatric, and social comorbidities interfere with the everyday activities of community-dwelling individuals with schizophrenia and increase the risk of their readmission. However, these comorbidities have not been investigated comprehensively in Japan. We conducted a self-reported internet survey in February 2022 to identify individuals aged 20-75 years with and without schizophrenia using a prevalence case-control study. The survey compared physical comorbidities such as being overweight, hypertension, and diabetes; psychiatric comorbidities such as depressive symptoms and sleep disturbances; social comorbidities such as employment status, household income, and social support between participants with and without schizophrenia. A total of 223 participants with schizophrenia and 1776 participants without schizophrenia were identified. Participants with schizophrenia were more likely to be overweight and had a higher prevalence of hypertension, diabetes, and dyslipidemia than participants without schizophrenia. Additionally, depressive symptoms, unemployment, and non-regular employment were more prevalent in participants with schizophrenia than those without schizophrenia. These results highlight the necessity of comprehensive support and interventions addressing physical, psychiatric, and social comorbidities in individuals with schizophrenia in the community. In conclusion, effective interventions for managing comorbidities in individuals with schizophrenia are necessary to enable them to continue to live in the community.

Recent findings on subjective well-being and physical, psychiatric, and social comorbidities in individuals with schizophrenia: A literature review.

AIM: Care for people with schizophrenia is shifting the locus from long-stay mental hospitals to nonspecialized community-based settings. Knowledge on the care is not a sole property of psychiatric specialists. Community healthcare workers who do not specialize in psychiatry are recommended to learn more about schizophrenia. This review aimed to summarize recent findings on subjective well-being and physical, psychiatric, and social comorbidities in individuals with schizophrenia. METHODS: A literature review was conducted. We retrieved findings from existing systematic reviews and meta-analyses as our preferred method. When data were not available, we referred to other types of studies. RESULTS: As per our review, individuals with schizophrenia demonstrated poor subjective well-being, happiness, and life satisfaction despite individual differences. Pharmacotherapy caused weight gain and constipation, whereas race and hospitalization might affect weight reduction. Individuals with schizophrenia demonstrated poor oral health, a high prevalence of noncommunicable diseases, and unique eating behaviors. Depression, sleep disorders, smoking, and alcohol and drug consumption were frequently found in the individuals. Research findings regarding problematic internet and smartphone use and stress perception were limited. Low health literacy and neglect of preventable behaviors were frequently seen in individuals with schizophrenia. They tended to be less educated, poor, unemployed, unmarried/unattached, and had poor social cognition, resulting in little social support and a small social network. CONCLUSION: Retrieving recent data, we confirmed that individuals with schizophrenia had poor subjective well-being and suffer from various physical, psychiatric, and social comorbidities.

The Prevalence and Characteristics of Older Japanese Adults with Polypharmacy, Based on Regionally Representative Health Insurance Claims Data.

We aimed to clarify the prevalence of polypharmacy among elderly individuals in Japan. We used the data obtained from a large-scale population-based representative database of health insurance claims in a single prefecture in Japan. We examined all of the outpatient and pharmaceutical health insurance claims for National Health Insurance and those for Late-stage Elderly Health Insurance in Nagasaki Prefecture, Japan between April and June 2016. When two or more claim forms were issued for a patient in a single month, we combined the data and identified the number of prescribed drugs for each person. The definition of polypharmacy is a the prescription of six or more drugs per month. We investigated the prevalence of polypharmacy among the beneficiaries of the two insurance systems. Of the 605,406 beneficiaries of the 2 insurance systems, 121,033 (20.0%) patients with polypharmacy were identified. The prevalence of polypharmacy increased with age, especially among the beneficiaries aged > 85 years, with about half of the beneficiaries having polypharmacy status. About half of the people aged > 85 years in the database had polypharmacy status. When a drug is prescribed to an elderly individual, it is necessary to consider the possibility of polypharmacy-related problems.

Coding and prescription rates of osteoporosis are low among distal radius fracture patients in Japan.

INTRODUCTION: This study aimed to clarify the coding and prescription rates for osteoporosis in distal radius fracture patients and to investigate the associated factors to help prevent subsequent osteoporotic fracture. MATERIALS AND METHODS: Between 2014-2015, among 294,374 eligible individuals (42% female) aged 50-75 years in a health insurance claims database, we identified 192 individuals (mean age: 59.8 years, 74% female), counted the coding of distal radius fracture (International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) code: S525, S526), and determined if the patient had been assigned the code for osteoporosis and been prescribed osteoporosis medications. Logistic regression was performed to identify factors related to each rate. RESULTS: The osteoporosis coding rate and osteoporosis medication prescription rate were 17.2% (n = 33) and 10.9% (n = 21), respectively. Most codes were assigned ≤ 3 months after injury (88%) at the distal radius fracture treatment facilities (84.8%). Patients who were assigned the code for osteoporosis or treated with osteoporosis medications were older (p = 0.08, p = 0.02, respectively), female (p = 0.05, p = 0.06, respectively) and having comorbidity (p = 0.02, p = 0.07, respectively). After adjustment, being female and having comorbidity remained the independent factors for the assignment of the code for osteoporosis (OR: 3.30, 95%, CI: 1.08-10.07, OR: 2.77, 95% CI: 1.24-6.12, respectively). No factor remained significant for the osteoporosis prescription. Active vitamin D analogues were most frequently prescribed medication (67%) followed by bisphosphonates (48%). CONCLUSION: The overall coding and prescription rates for osteoporosis after distal radius fracture were low, which suggested that physician adherence to the osteoporosis guideline was low.

[Changes in the average interval since last visit and the number of repeat outpatients in the Patient Survey of Japan].

Objectives　The Patient Survey provides basic information on disease and injury statistics of patients in Japan, and an estimation of the number of patients by disease and injury can be made using this survey. In this survey, the number of outpatients with repeat visits affects the survey results. The average interval since last visit (AILV) and a correction factor are used to estimate the number of repeat outpatients. Patients with AILV > 30 days are not included in the survey. However, in the last years, AILV exceeded 30 days in many cases, suggesting that the current 30-day threshold is no longer suitable. Thus, this study investigated the AILV in the current patient population and the effect of the increase in AILV on the number of repeat outpatients.Methods　Patients Survey data of 1996-2011 were used to estimate the effect of changing the AILV threshold on the number of repeat outpatients.Results　AILV increased for patients with most diseases and injuries. Using the current 30-day threshold, the overall outpatient coverage rate decreased from 91% in 1996 to 78% in 2011. A higher AILV threshold was necessary to maintain the overall outpatient coverage rate. For example, a threshold of 90 days increased the coverage rate in 2011 to 96%. However, raising the threshold markedly increased the number of repeat outpatients. For example, the overall number of repeat outpatients in 2011 increased from 43.01 million with the current 30-day threshold to 71.03 million using the 90-day threshold. The peak of the AILV of outpatients was observed on the next day after the first visit and the peak of the AILV of outpatients was observed every other week.Conclusion　AILV increased over time and changing the AILV threshold markedly increased the number of repeat outpatients and total patients, indicating that there is a need to raise the AILV threshold.

The Number of Patients and Therapeutic Profile of Spinal Stenosis Using Health Insurance Claims in Japan.

STUDY DESIGN: Population-based retrospective descriptive study. OBJECTIVE: To describe the number and therapeutic profile of patients with spinal stenosis at a large-scale community level using health insurance claims data. SUMMARY OF BACKGROUND DATA: A few reports have documented the prevalence of spinal stenosis, and no report has described the therapeutic profile for spinal stenosis in a population base. METHODS: We studied the claims data of National Health Insurance and Late-stage Elderly Health Insurance in a prefecture in Japan from April 2010 to March 2011. We considered patients to have spinal stenosis if their claims included at least one diagnosis coded as spinal stenosis for at least 1 month during the study period. Disease criteria were based on the International Classification of Diseases, 10th version. We then described the number and the therapeutic profile of the patients with spinal stenosis by age and sex. RESULTS: Of 699,723 beneficiaries, 52,889 patients with spinal stenosis were identified. The number of patients with spinal stenosis per 1000 beneficiaries was 76, and those for the subgroups of age ≥ 65 years, ≥ 75 years, and ≥ 85 years were 128, 155, and 152, respectively. The number of patients per 1000 beneficiaries showed unimodal distribution, and the peak for males was 191 between the ages 95 to 99 years and that for females was 160 between the ages 80 to 84 years. Analgesics, prostaglandin E1, or both were prescribed to 40%, 2%, or 20% of patients with spinal stenosis, respectively. Physical therapy, nerve blocks, and surgery were done for 19%, 8%, and 0.4% of the patients, respectively. Approximately, 33% of patients did not receive any treatment. CONCLUSION: There were a large number of patients with spinal stenosis in elderly people. Most of them received nonsurgical treatments. Health insurance claims data could be a useful source of surveillance for such common diseases as spinal stenosis. LEVEL OF EVIDENCE: 4.

Reasons for smoking cessation attempts among Japanese male smokers vary by nicotine dependence level: a cross-sectional study after the 2010 tobacco tax increase.

OBJECTIVES: To examine the association between smoking cessation attempts during the previous 12 months, motivators to quit smoking and nicotine dependence levels among current male smokers after Japan's massive 2010 tobacco tax increase. DESIGN: Cross-sectional study. SETTING: A self-reported questionnaire about smoking habits, nicotine dependence levels and factors identified as motivators to quit smoking was administered to 9378 employees working at a company located in Fukuoka Prefecture in Japan (as of 1 October 2011). PARTICIPANTS: A total of 2251 male current smokers 20-69 years old. PRIMARY AND SECONDARY OUTCOME MEASURES: Nicotine dependence level assessed by Fagerström Test for Cigarette Dependence (FTCD), smoking cessation attempts during the previous 12 months and motivators for smoking cessation. RESULTS: The proportion of current smokers who had attempted to quit smoking within the previous 12 months was 40.6%. Nicotine dependence level of current smokers was negatively associated with cessation attempts during the previous 12 months. Motivators for smoking cessation differed by nicotine dependence levels. 'The rise in cigarette prices since October 2010' as a smoking cessation motivator increased significantly at the medium nicotine dependence level (OR 1.44, 95% CI 1.09 to 1.90); however, this association was not statistically significant for individuals with high nicotine dependence (OR 1.24, 95% CI 0.80 to 1.92). 'Feeling unhealthy' was significantly negatively associated for medium (OR 0.42, 95% CI 0.27 to 0.65) and high (OR 0.31, 95% CI 0.14 to 0.71) nicotine dependence levels. Trend associations assessed by assigning ordinal numbers to total FTCD score for those two motivators were statistically significant. CONCLUSIONS: The efficacy of smoking cessation strategies can be improved by considering the target group's nicotine dependence level. For smokers with medium and high nicotine dependence levels, more effective strategies aimed at encouraging smoking cessation, such as policy interventions including increasing tobacco taxes, are needed.

Assessment of text documentation accompanying uncoded diagnoses in computerized health insurance claims in Japan.

BACKGROUND: Uncoded diagnoses in health insurance claims (HICs) may introduce bias into Japanese health statistics dependent on computerized HICs. This study's aim was to identify the causes and characteristics of uncoded diagnoses. METHODS: Uncoded diagnoses from computerized HICs (outpatient, inpatient, and the diagnosis procedure-combination per-diem payment system [DPC/PDPS]) submitted to the National Health Insurance Organization of Kumamoto Prefecture in May 2010 were analyzed. The text documentation accompanying the uncoded diagnoses was used to classify diagnoses in accordance with the International Classification of Diseases-10 (ICD-10). The text documentation was also classified into four categories using the standard descriptions of diagnoses defined in the master files of the computerized HIC system: 1) standard descriptions of diagnoses, 2) standard descriptions with a modifier, 3) non-standard descriptions of diagnoses, and 4) unclassifiable text documentation. Using these classifications, the proportions of uncoded diagnoses by ICD-10 disease category were calculated. RESULTS: Of the uncoded diagnoses analyzed (n = 363 753), non-standard descriptions of diagnoses for outpatient, inpatient, and DPC/PDPS HICs comprised 12.1%, 14.6%, and 1.0% of uncoded diagnoses, respectively. The proportion of uncoded diagnoses with standard descriptions with a modifier for Diseases of the eye and adnexa was significantly higher than the overall proportion of uncoded diagnoses among every HIC type. CONCLUSIONS: The pattern of uncoded diagnoses differed by HIC type and disease category. Evaluating the proportion of uncoded diagnoses in all medical facilities and developing effective coding methods for diagnoses with modifiers, prefixes, and suffixes should reduce number of uncoded diagnoses in computerized HICs and improve the quality of HIC databases.

Effectiveness and Sustainability of Education about Incident Reporting at a University Hospital in Japan.

OBJECTIVES: The aim of this study was to evaluate the effectiveness and sustainability of educational interventions to encourage incident reporting. METHODS: This was a quasi-experimental design. The study involved nurses working in two gastroenterology surgical wards at Fukuoka University Hospital, Japan. The number of participants on each ward was 26 nurses at baseline. For the intervention group, we provided 15 minutes of education about patient safety and the importance of incident reporting once per month for six months. After the completion of the intervention, we compared incident reporting in the subsequent 12 months for both groups. Questionnaires about reasons/motives for reporting were administered three times, before the intervention, after the intervention, and six months after the intervention for both the intervention group and the control group. RESULTS: For the intervention group, incident reporting during the 6 months after the intervention period increased significantly compared with the baseline. During the same period, the reasons and motives for reporting changed significantly in the intervention group. The increase in reported incidents during the 6- to 12-month period following the intervention was not significant. In the control group, there was no significant difference during follow-up compared with the baseline. CONCLUSIONS: A brief intervention about patient safety changed the motives for reporting incidents and the frequency of incidents reported by nurses working in surgical wards in a university hospital in Japan. However, the effect of the education decreased after six months following the education. Regular and long-term effort is required to maintain the effect of education.

The proportion of uncoded diagnoses in computerized health insurance claims in Japan in May 2010 according to ICD-10 disease categories.

BACKGROUND: Uncoded diagnoses in computerized health insurance claims are excluded from statistical summaries of health-related risks and other factors. The effects of these uncoded diagnoses, coded according to ICD-10 disease categories, have not been investigated to date in Japan. METHODS: I obtained all computerized health insurance claims (outpatient medical care, inpatient medical care, and diagnosis procedure-combination per-diem payment system [DPC/PDPS] claims) submitted to the National Health Insurance Organization of Kumamoto Prefecture in May 2010. These were classified according to the disease categories of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). I used accompanying text documentation related to the uncoded diagnoses to classify these diagnoses. Using these classifications, I calculated the proportion of uncoded diagnoses by ICD-10 category. RESULTS: The number of analyzed diagnoses was 3,804,246, with uncoded diagnoses accounting for 9.6% of the total. The proportion of uncoded diagnoses in claims for outpatient medical care, inpatient medical care, and DPC/PDPS were 9.3%, 10.9%, and 14.2%, respectively. Among the diagnoses, Congenital malformations, deformations, and chromosomal abnormalities had the highest proportion of uncoded diagnoses (19.3%), and Diseases of the respiratory system had the lowest proportion of uncoded diagnoses (4.7%). CONCLUSIONS: The proportion of uncoded diagnoses differed by the type of health insurance claim and disease category. These findings indicate that Japanese health statistics computed using computerized health insurance claims might be biased by the exclusion of uncoded diagnoses.

Linezolid minimum inhibitory concentration (MIC) creep in methicillin-resistant Staphylococcus aureus (MRSA) clinical isolates at a single Japanese center.

The aim of this study was to evaluate whether linezolid minimum inhibitory concentration (MIC) creep occurred in Staphylococcus aureus clinical isolates, including methicillin-resistant S. aureus (MRSA), over a recent 5-year period at a single Japanese center. A total of 453 MRSA and 195 methicillin-susceptible S. aureus (MSSA) isolates recovered from inpatients from April 1, 2008 to March 31, 2013 were analyzed. The MIC of linezolid was determined by automated Vitek-2 system. The modal MIC, MIC range, MIC50 and MIC90 (MICs required to inhibit the growth of 50% and 90% of organisms, respectively), geometric mean MIC and percentages of susceptible and resistant isolates were evaluated for each fiscal year. None of the S. aureus isolates were resistant to linezolid. Isolates with an MIC of >1 µg/mL were more common in the MSSA samples than in the MRSA samples (91.3% versus 38.2%, p<0.001). The linezolid geometric mean MIC increased by 0.403 µg/mL (from 1.178 in 2008 to 1.582 in 2012) in the MRSA isolates (p=0.006, r(2)=0.945 according to a linear regression analysis) over the 5-year period; however, no increase was observed in the MSSA isolates. The frequency of MRSA isolates with an MIC of 1 µg/mL decreased (from 76.3% in 2008 to 35.4% in 2012) and the isolates with MICs of >1 µg/mL increased over time (from 23.7% in 2008 to 64.6% in 2012). This report demonstrates the occurrence of linezolid MIC creep, as determined using the geometric mean MIC, in MRSA clinical isolates at a single Japanese center.

Assessment of medical expenditures for sepsis:differentiating between cases with and without ruled-out diagnoses.

Setting public health priorities requires precise estimation of the burden of disease, including disease-specific medical expenditure. Information on multiple and ruled-out diagnoses on health insurance claims (HICs) has been ignored in traditional analyses of disease-specific medical expenditures in Japan. This study reviewed 448 inpatients with at least one diagnosis of sepsis on their HICs, who were insured by corporate health insurance organizations making claims on services provided from April 2006 to March 2007 in Japan. Subjects in whom sepsis-related diagnoses were specified as "ruled-out" were compared with subjects in whom sepsis-related diagnoses were classified as "not-ruled-out" (i.e., subjects in whom sepsis was considered possibly or likely present). Direct medical expenditure, length of stay (LOS), cost per day, cost of antibiotics, and proportion of administered cephalosporin and carbapenems were significantly higher in subjects classified as not-rule-out. When using health insurance claims in Japan, the statistics of medical expenditures and LOS are influenced by procedures performed to rule out a diagnosis, as well as those performed to treat a confirmed diagnosis of sepsis.

[Trends and antimicrobial susceptibilities of clinical methicillin-resistant Staphylococcus aureus isolates in Fukuoka University Chikushi Hospital 2008-2012].

The aim of this study was to investigate the trends and antimicrobial susceptibilities of methicillin-resistant Staphylococcus aureus (MRSA) clinical isolates from outpatients and inpatients from April 2008 to March 2013 at Fukuoka University Chikushi Hospital. The proportion of MRSA among the S. aureus isolates from outpatients was stable over the study period, however, that from inpatients gradually decreased (p=0.026). There was no difference in the susceptibility to anti-MRSA agents between MRSA isolates from outpatients and inpatients, however, the susceptibilities to fosfomycin (FOM), minocycline (MINO), levofloxacin, erythromycin and clindamycin were higher in MRSA isolates from outpatients than from inpatients (48.6% vs. 35.6%, 56.1% vs. 40.1%, 38.2% vs. 4.9%, 16.2% vs. 3.9% and 18.5% vs. 4.5%, respectively, p<0.01). The susceptibility to FOM improved in MRSA from both outpatients and inpatients over time (p<0.05). In MRSA isolates from inpatients, the susceptibility to FOM and gentamicin increased significantly over the study period (p=0.023 and p=0.010, respectively), while, the susceptibility to MINO tended to decrease (p=0.094). The rate of MRSA isolates which were susceptible to more than two non-ß-lactam antibiotics was significantly higher in outpatients than in inpatients (24.5% vs. 47.4%, p<0.01), however, this rate increased significantly during the study period only in inpatients, with a rate of 12.2% in 2008 and 53.1% in 2012 (p<0.01). In conclusion, our findings indicate a changing antimicrobial susceptibility of MRSA isolates, especially to non-ß-lactam antibiotics. The determination of the prevalence and antimicrobial susceptibilities of MRSA clinical isolates will help physicians to select the initial empirical treatment.

Effects of family structure on risk of institutionalisation of disabled older people in Japan.

AIM: To examine the relationship between family structure and the risk of institutionalisation of disabled older people. METHODS: The participants were 286 disabled older people aged 65 or older who were eligible to receive formal care services under the long-term care insurance system in a town in western Japan. Family structure was categorised as living alone, living only with a spouse, living with a son, living with a daughter and living other relatives. The risks of institutionalisation were estimated by logistic regression analyses. RESULTS: Participants living with a daughter had a significantly low odds ratio (OR) for institutionalisation (OR: 0.35, 95% confidence interval (CI): 0.13-0.93) and those living alone had a significantly high OR (OR: 2.31, 95% CI: 1.02-5.20), when compared to participants living with a son (regarded as the reference). The ORs of participants living only with a spouse and living with other relatives were 1.50 (95% CI: 0.59-3.79) and 0.66 (95% CI: 0.15-2.82), respectively. CONCLUSION: Living with a daughter could reduce the risk of institutionalisation for disabled older people.

Using health insurance claim information for evacuee medical support and reconstruction after the Great East Japan Earthquake.

OBJECTIVE: Loss of patient information can hinder medical care for evacuees and the reconstruction of medical facilities damaged by major incidents. In Japan, health insurance coverage is universal, and information about diagnoses and health care services provided is shared by the medical facilities, Health Insurance Claims Review and Reimbursement Services or the National Health Insurance Organization (NHIO), and the insurers. After the Great East Japan Earthquake on March 11, 2011, we interviewed officers in charge of NHIO in the 3 prefectures that were damaged by the earthquake and elicited how they assisted with medical care for evacuees and reconstruction of the damaged medical facilities. METHODS: Comprehensive interviews were conducted with officers in charge of the NHIO in the 3 prefectures to obtain information about the use and provision of health insurance claims data 3 to 4 months after the event. We then analyzed the official data concerning use of the information from the claims in chronological order. RESULTS: The NHIO headquarters in the 3 prefectures were not physically affected by the disaster, and their information on the health insurance claims was intact. Patient information acquired before the disaster was obtained from the health insurance claims and applied to the medical care of the evacuees. The information also was used to reconstruct patient records lost in the disaster. CONCLUSION: The information that was obtained from health insurance claims was used to improve medical care after the large-scale disaster.