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ABSTRACT: OBJECTIVE: To analyze possible factors associated with prolonged length of stay (LOS) in hip fracture patients in Japan, such as the availability of beds in medical and nursing care facilities at the community level, as well as patient factors, clinical factors and hospital structural characteristics. METHODS: The sample for analysis consisted of 8318 hip fracture cases from 199 hospitals throughout Japan. We conducted multilevel analyses to investigate whether LOS and the discharge destinations of patients are associated with the availability and utilization of medical and nursing care resources in the communities where each hospital is located. RESULTS: After adjusting for patient factors, clinical factors and hospital structural characteristics, a higher number of long-term care beds at the community level was observed to be significantly correlated with both shorter LOS and increased rate of discharge to other facilities. DISCUSSION AND CONCLUSION: Although the Japanese government is attempting to reduce acute care hospital LOS and the number of long-term care beds in order to reduce health care costs, the results of this study suggest that a reduction in the number of long-term care beds would not necessarily reduce the LOS of acute care hospitals, and may instead exacerbate the problem.
Health Policy 04/2013; · 1.51 Impact Factor
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ABSTRACT: OBJECTIVES: To analyse the current and potential utilization of generic drugs in Japan, to examine the maximum possible cost savings from generic drug use and to develop a fairer measure to assess the level of generic drug substitution. METHODS: We conducted a cross-sectional retrospective analysis of nine million dispensing records during January to March 2010 in Kyoto Prefecture. Maximum potential quantity-based shares were defined as the quantity of generic drugs used plus the quantity of branded drugs that could have been replaced by generic drugs divided by the quantity of all drugs dispensed. We developed a 'substitution index', defined as the proportion of generic drugs out of the total drugs substitutable with generic drugs (based on quantity rather than cost). RESULTS: Generic drugs had a quantity-based share of 17.9%, a cost-based share of 8.9% and a maximum potential quantity-based share of 50.1%, which is lower than the actual generic drug shares of some other countries. The maximum possible cost savings as a result of generic drug substitution was 16.5%. We also observed wide variations in maximum potential quantity-based shares between health care sectors and health care institutions. CONCLUSIONS: Simple comparisons based on quantity-based shares may misrepresent the actual generic drug use. A substitution index that takes into account the maximum potential quantity-based share of generic drugs as a fairer measure may promote more realistic goals and encourage generic drug usage.
Journal of Health Services Research & Policy 04/2013; · 1.73 Impact Factor
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ABSTRACT: OBJECTIVE: To develop an equation model of in-hospital mortality for mechanically ventilated patients in adult intensive care using administrative data for the purpose of retrospective performance comparison among intensive care units (ICUs). DESIGN: Two models were developed using the split-half method, in which one test dataset and two validation datasets were used to develop and validate the prediction model, respectively. Nine candidate variables (demographics: age; gender; clinical factors hospital admission course; primary diagnosis; reason for ICU entry; Charlson score; number of organ failures; procedures and therapies administered at any time during ICU admission: renal replacement therapy; pressors/vasoconstrictors) were used for developing the equation model. SETTING: In acute-care teaching hospitals in Japan: 282 ICUs in 2008, 310 ICUs in 2009, and 364 ICUs in 2010. PARTICIPANTS: Mechanically ventilated adult patients discharged from an ICU from July 1 to December 31 in 2008, 2009, and 2010. Main Outcome Measures: The test dataset consisted of 5,807 patients in 2008, and the validation datasets consisted of 10,610 patients in 2009 and 7,576 patients in 2010. Two models were developed: Model 1 (using independent variables of demographics and clinical factors), Model 2 (using procedures and therapies administered at any time during ICU admission in addition to the variables in Model 1). Using the test dataset, 8 variables (except for gender) were included in multiple logistic regression analysis with in-hospital mortality as the dependent variable, and the mortality prediction equation was constructed. Coefficients from the equation were then tested in the validation model. RESULTS: Hosmer-Lemeshow χ 2 are values for the test dataset in Model 1 and Model 2, and were 11.9 (P = 0.15) and 15.6 (P = 0.05), respectively; C-statistics for the test dataset in Model 1and Model 2 were 0.70 and 0.78, respectively. In-hospital mortality prediction for the validation datasets showed low and moderate accuracy in Model 1 and Model 2, respectively. CONCLUSIONS: Model 2 may potentially serve as an alternative model for predicting mortality in mechanically ventilated patients, who have so far required physiological data for the accurate prediction of outcomes. Model 2 may facilitate the comparative evaluation of in-hospital mortality in multicenter analyses based on administrative data for mechanically ventilated patients.
Journal of Anesthesia 03/2013; · 0.83 Impact Factor
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ABSTRACT: To compare patient outcomes in hospitals certified by the Japanese Society of Intensive Care Medicine (JSICM) as training facilities for intensive care specialists with patient outcomes in hospitals not certified by the JSICM (non-CFs).
A retrospective case-control study using administrative data.
Inhospital mortality.
164 803 intensive care unit admissions were identified between 1 April 2008 and 31 March 2010, of which 159 540 were for adults (≥18 years). A total of 50 875 patients in 125 hospitals were admitted to certified facilities (CFs) and 108 665 patients in 309 hospitals were admitted to non-CFs. Inhospital mortality rates were 9.9% and 10.6% in CFs and non-CFs, respectively (P < 0.001). After adjusting for age, emergency admission, admission route, use of vasopressors, mechanical ventilation, and renal replacement therapy, the odds ratio for hospital mortality in CF-treated patients was 0.81 (95% confidence interval, 0.78-0.85). The c statistic of the model was 0.881.
Patients admitted to the intensive care unit in CFs had better outcomes. To improve patient outcomes, more board-certified intensivists are required in Japan.
Critical care and resuscitation: journal of the Australasian Academy of Critical Care Medicine 03/2013; 15(1):28-32. · 1.67 Impact Factor
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ABSTRACT: BACKGROUND: Acute heart failure (AHF) with its high in-hospital mortality is an increasing burden on healthcare systems worldwide, and comparing hospital performance is required for improving hospital management efficiency. However, it is difficult to distinguish patient severity from individual hospital care effects. The aim of this study was to develop a risk adjustment model to predict in-hospital mortality for AHF using routinely available administrative data. METHODS: Administrative data were extracted from 86 acute care hospitals in Japan. We identified 8620 hospitalized patients with AHF from April 2010 to March 2011. Multivariable logistic regression analyses were conducted to analyze various patient factors that might affect mortality. Two predictive models (models 1 and 2; without and with New York Heart Association functional class, respectively) were developed and bootstrapping was used for internal validation. Expected mortality rates were then calculated for each hospital by applying model 2. RESULTS: The overall in-hospital mortality rate was 7.1%. Factors independently associated with higher in-hospital mortality included advanced age, New York Heart Association class, and severe respiratory failure. In contrast, comorbid hypertension, ischemic heart disease, and atrial fibrillation/flutter were found to be associated with lower in-hospital mortality. Both model 1 and model 2 demonstrated good discrimination with c-statistics of 0.76 (95% confidence interval, 0.74-0.78) and 0.80 (95% confidence interval, 0.78-0.82), respectively, and good calibration after bootstrap correction, with better results in model 2. CONCLUSIONS: Factors identifiable from administrative data were able to accurately predict in-hospital mortality. Application of our model might facilitate risk adjustment for AHF and can contribute to hospital evaluations.
The Canadian journal of cardiology 02/2013; · 3.36 Impact Factor
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ABSTRACT: Background: Stroke and other cerebrovascular diseases are a major cause of death and disability. Predicting in-hospital mortality in ischaemic stroke patients can help to identify high-risk patients and guide treatment approaches. Chart reviews provide important clinical information for mortality prediction, but are laborious and limiting in sample sizes. Administrative data allow for large-scale multi-institutional analyses but lack the necessary clinical information for outcome research. However, administrative claims data in Japan has seen the recent inclusion of patient consciousness and disability information, which may allow more accurate mortality prediction using administrative data alone. The aim of this study was to derive and validate models to predict in-hospital mortality in patients admitted for ischaemic stroke using administrative data. Methods: The sample consisted of 21,445 patients from 176 Japanese hospitals, who were randomly divided into derivation and validation subgroups. Multivariable logistic regression models were developed using 7- and 30-day and overall in-hospital mortality as dependent variables. Independent variables included patient age, sex, comorbidities upon admission, Japan Coma Scale (JCS) score, Barthel Index score, modified Rankin Scale (mRS) score, and admissions after hours and on weekends/public holidays. Models were developed in the derivation subgroup, and coefficients from these models were applied to the validation subgroup. Predictive ability was analysed using C-statistics; calibration was evaluated with Hosmer-Lemeshow χ(2) tests. Results: All three models showed predictive abilities similar or surpassing that of chart review-based models. The C-statistics were highest in the 7-day in-hospital mortality prediction model, at 0.906 and 0.901 in the derivation and validation subgroups, respectively. For the 30-day in-hospital mortality prediction models, the C-statistics for the derivation and validation subgroups were 0.893 and 0.872, respectively; in overall in-hospital mortality prediction these values were 0.883 and 0.876. Conclusions: In this study, we have derived and validated in-hospital mortality prediction models for three different time spans using a large population of ischaemic stroke patients in a multi-institutional analysis. The recent inclusion of JCS, Barthel Index, and mRS scores in Japanese administrative data has allowed the prediction of in-hospital mortality with accuracy comparable to that of chart review analyses. The models developed using administrative data had consistently high predictive abilities for all models in both the derivation and validation subgroups. These results have implications in the role of administrative data in future mortality prediction analyses.
Cerebrovascular Diseases 01/2013; 35(1):73-80. · 2.72 Impact Factor
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ABSTRACT: Background: The economic consequences of environmental tobacco smoke (ETS) have been simulated using models. We examined the individual-level association between ETS exposure and medical costs among Japanese nonsmoking women.Methods: This population-based cohort study enrolled women aged 40 to 79 years living in a rural community. ETS exposure in homes at baseline was assessed with a self-administered questionnaire. We then collected health insurance claims data on direct medical expenditures from 1995 through 2007. Using generalized linear models with interaction between ETS exposure level and age stratum, average total monthly expenditure (inpatient plus outpatient care) per capita for nonsmoking women highly exposed and moderately exposed to ETS were compared with expenditures for unexposed women. We performed separate analyses for survivors and nonsurvivors.Results: We analyzed data from 4870 women. After adjustment for potential confounding factors, survivors aged 70 to 79 who were highly exposed to ETS incurred higher expenditures than those who were not exposed. We found no significant difference in expenditures between moderately exposed and unexposed women. Total expenditures were not significantly associated with ETS exposure among survivors aged 40 to 69 or nonsurvivors of any age stratum.Conclusions: We calculated individual-level excess medical expenditures attributable to household exposure to ETS among surviving older women. The findings provide direct evidence of the economic burden of ETS, which is helpful for policymakers who seek to achieve the economically attractive goal of eliminating ETS.
Journal of Epidemiology 11/2012; · 1.86 Impact Factor
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ABSTRACT: Abstract Background: Quality of end-of-life (EOL) care is gaining increasing attention. However, the relationship between hospital case volume and performance of benchmark quality indicators is not well characterized. The aim of this study was to determine whether hospital case volume affects EOL care for terminal cancer patients. Methods: We conducted a retrospective cross-sectional study using claims data of patients who died of cancer at acute-care hospitals in Kyoto prefecture, Japan, between March 2009 and May 2010. Hospitals were grouped into tertiles based on the number of terminal cancer cases. We used multilevel logistic regression models to examine the association of the following quality indicators with the tertiles: opioid use during the last 2 months of life (indicating good quality of care), provision of intensive care unit (ICU) service or life-sustaining treatments during the last month of life (poor quality), and chemotherapy during the last month of life (poor quality). Results: The final sample for analysis consisted of 3294 decedents from 88 hospitals. Significant associations between hospital case volume and quality of EOL care were identified after adjusting for patient and hospital characteristics. Small- and medium-volume hospitals were found to be less likely to administer opioids, and medium-volume hospitals were more likely to provide ICU service or life-sustaining treatments when compared with large-volume hospitals. No significant association between chemotherapy use and case volume was observed. Conclusions: The results showed that the case volume of terminally ill cancer patients was associated with several aspects of quality of EOL care.
Journal of palliative medicine 11/2012; · 1.84 Impact Factor
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ABSTRACT: Objectives The efficiency of a hospital's operating room (OR) management can affect its overall profitability. However, existing indicators that assess OR management efficiency do not take into account differences in hospital size, manpower and functional characteristics, thereby rendering them unsuitable for multi-institutional comparisons. The aim of this study was to develop indicators of OR management efficiency that would take into account differences in hospital size and manpower, which may then be applied to multi-institutional comparisons. Methods Using administrative data from 224 hospitals in Japan from 2008 to 2010, we performed four multiple linear regression analyses at the hospital level, in which the dependent variables were the number of operations per OR per month, procedural fees per OR per month, total utilization times per OR per month and total fees per OR per month for each of the models. Results The expected values of these four indicators were produced using multiple regression analysis results, adjusting for differences in hospital size and manpower, which are beyond the control of process owners' management. However, more than half of the variations in three of these four indicators were shown to be explained by differences in hospital size and manpower. Conclusion Using the ratio of observed to expected values (OE ratio), as well as the difference between the two values (OE difference) allows hospitals to identify weaknesses in efficiency with more validity when compared to unadjusted indicators. The new indicators may support the improvement and sustainment of a high-quality health care system.
Journal of Evaluation in Clinical Practice 02/2012; · 1.23 Impact Factor
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ABSTRACT: In 2003, Japan introduced the prospective payment system (PPS) with diagnosis-related groups (DRG) rearranged grouping system called the diagnostic procedure combination/per-diem payment system (DPC/PDPS). Even after eight years, little is known about the effects of DPC/PDPS. The purpose of this study was to examine the effects of DPC/PDPS on resource usage and healthcare quality.
Using 2001-2009 (fiscal year) administrative data of acute myocardial infarction patients, four indices, including inpatient total accumulated medical charges, length of stay (LOS), mortality rate, and readmission rate, were compared between patients reimbursed by DPC/PDPS or by fee-for-service.
DPC/PDPS significantly reduced total accumulated medical charges by $1061 (95% confidence interval [CI], -2007, -116) and LOS by 2.29 days (95% CI, -3.71, -0.88) after risk adjustment. However, mortality rate (Odds ratio [OR], 0.94; 95% CI, 0.73, 1.21) was unchanged. Furthermore, DPC/PDPS increased the readmission rate (OR, 1.37; 95% CI, 1.03, 1.82).
This study showed that DPC/PDPS was associated with reduced resource usage, but not improved healthcare quality, as with DRG/PPSs in other countries. To achieve successful healthcare reform, further discussion on additional motives will be required.
Health Policy 01/2012; 107(2-3):194-201. · 1.51 Impact Factor
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ABSTRACT: The aim of this study was to examine which of the two groups have higher lifetime medical expenditures; male smokers or male nonsmokers. We conducted this investigation using a Japanese single cohort database to calculate long-term medical expenditures and 95% confidence intervals.
We first constructed life tables for male smokers and male nonsmokers from the age of 40 years after analyzing their mortality rates. Next, we calculated the average annual medical expenditures of each of the two groups, categorized into survivors and deceased. Finally, we calculated long-term medical expenditures and performed sensitivity analyses.
The results showed that although smokers had generally higher annual medical expenditures than nonsmokers, the former's lifetime medical expenditure was slightly lower than the latter's because of a shorter life expectancy that resulted from a higher mortality rate. Sensitivity analyses did not reverse the order of the two lifetime medical expenditures.
In conclusion, although smoking may not result in an increase in lifetime medical expenditures, it is associated with diseases, decreased life expectancy, lower quality of life (QOL), and generally higher annual medical expenditures. It is crucial to promote further tobacco control strategically by maximizing the use of available data.
Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene) 01/2012; 67(1):50-5.
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ABSTRACT: The health care system in Japan has undergone major changes, with increasing focus on specialization and continuity of care in its organization and delivery. Reducing the average length of stay is central to this plan. Readmission is often seen as an avoidable consequence of early discharges. And therefore, the readmission rate is used to assess the quality and efficiency of care. In this study, the main subjects in the implementation of readmission rate as an indicator are laid out and the framework for readmission in acute myocardial infarction (AMI) patients is applied.
Literature review concerning readmission in AMI patients was conducted to understand the key points of the framework of the readmission. We then used insurance claims data to implement readmission as an indicator. The study sample consisted of 2,332 patients hospitalized due to AMI in Kyoto Prefecture from April 2009 to March 2010.
The 30-day readmission rate after AMI discharge was 3.7% (87/2,332), with the majority of these admissions due to coronary disease (38%). This rate was extremely low compared to the results reported in other countries, with readmission rates as high as 20% observed in the US. However, we observed that countries with high readmission rates had correspondingly short lengths of stay (LOS), and countries such as Germany and Japan with low readmission rates had long LOS.
The readmission rate in Japan is low compared with those in other countries although mean LOS is long. The use of readmission rate may have applications in understanding trends in healthcare quality as Japan attempts to reduce LOS durations.
Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene) 01/2012; 67(1):62-6.
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ABSTRACT: Japan has one of the highest numbers of high-cost medical devices installed relative to its population. While evaluations of the distribution of these devices traditionally involve simple population-based assessments, an indicator that includes the demand of these devices would more accurately reflect the situation. The purpose of this study was to develop an indicator of the supply-demand balance of such devices, using examples of magnetic resonance imaging scanners (MRI) and extracorporeal shockwave lithotripters (ESWL), and to investigate the relationship between this indicator, personnel distribution statuses and operating statuses at the prefectural level.
Using data from nation-wide surveys and claims data from 16 hospitals, we developed an indicator based on the ratio of the supplied number of device units to the number of device units in demand for MRI and ESWL. The latter value was based on patient volume and utilization proportion. Correlation analyses were conducted between the supply-demand balances of these devices, personal distribution and operating statuses.
Comparisons between our indicator and conventional population-based indicators revealed that 15% and 30% of prefectures were at risk of underestimating the availability of MRI and ESWL, respectively. The numbers of specialist personnel/device units showed significant, negative correlations with our indicators in both devices.
Utilization-based analyses of health care resource placement and utilization status provide a more accurate indication than simple population-based assessments, and can assist decision makers in reviewing gaps between health policy and management. Such an indicator therefore has the potential to be a tool in helping to improve the efficiency of the allocation and placement of such devices.
Journal of Evaluation in Clinical Practice 12/2011; 17(6):1114-21. · 1.23 Impact Factor
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World Journal of Surgery 10/2011; · 2.36 Impact Factor
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Nippon rinsho. Japanese journal of clinical medicine 09/2011; 69 Suppl 7:629-37.
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ABSTRACT: Venous thromboembolism (VTE) epidemiology varies widely across surgical procedures. At present, there are few epidemiologic reports regarding VTE in Japan. Japanese VTE prophylaxis guidelines recommend a risk-based approach based on previous epidemiologic statistics. VTE includes deep vein thrombosis (DVT) and pulmonary embolism (PE). PE prevention is the main goal, although the relation between PE and DVT is still controversial.
We collected administrative data for 1,016,496 surgical patients from 260 hospitals. We analyzed DVT and PE incidence and selected two subgroups for further analysis: gastroenterologic surgery and specific orthopedic surgery (high-frequency group).
Overall DVT incidence was 1947 (0.19%); and the PE incidence was 538 (0.05%). DVT case fatality rate was 3.44% (67/1947); that for PE was 22.86% (123/538). Both overall and subgroup incidences were comparable to those in previous reports. Subgroup analyses in the high-frequency group did not show a relation between DVT and PE. VTE prophylaxis did not show a relation between DVT and PE despite 82.0% [corrected] adherence.
Our results are consistent with established data regarding DVT and PE incidence. Administrative data available in Japan provides a powerful epidemiologic tool to characterize rare diseases such as DVT and PE. DVT is not a suitable quality indicator in Japan. However, PE is too rare to be considered a rate-based outcome indicator, and VTE prophylaxis is [corrected] widely applied to be used as a process indicator. VTE measurement is not a useful quality indicator in Japan to compare hospitals but provides a longitudinal self-survey.
World Journal of Surgery 08/2011; 36(2):280-6. · 2.36 Impact Factor
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ABSTRACT: Objectives Asthma treatment guidelines recommend inhaled corticosteroids (ICS) as the first-line therapy. However, ICS are prescribed to lower percentages of asthmatic patients in Japan than in other developed countries. The aim of this study was to reveal factors affecting the prescription of ICS for asthmatic adults. Methods Using insurance claims data in Kyoto Prefecture, Japan, we performed a cross-sectional study. We assessed whether outpatients aged 15 years or older who were diagnosed with asthma had received ICS or not, and conducted logistic regression analyses to identify patients' and facilities' factors associated with ICS use. Results We analysed 13 428 asthmatic adults, of which 51% were prescribed ICS. Patients receiving asthma care at facilities with respiratory or allergy specialists were more likely to receive ICS than facilities without specialists (adjusted odds ratio 2.70; 95% confidence interval 2.46-2.97). Those aged 75 years or older were less likely to receive ICS than those aged 15 to 64 (adjusted odds ratio 0.71; 95% confidence interval 0.64-0.78). An examination of the interaction between the presence or absence of specialists and facility training status suggested that whether asthmatic adults received ICS depended on the former factor rather than the latter. Conclusion The presence of specialists in facilities and the age of patients were strong factors affecting ICS prescription. Increases in ICS therapy for the elderly and ICS prescription by non-specialists would lead to an overall increase in patients receiving ICS and consequently achieving the goal of asthma control.
Journal of Evaluation in Clinical Practice 06/2011; · 1.23 Impact Factor
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[Nippon kōshū eisei zasshi] Japanese journal of public health 06/2011; 58(6):471-3.
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[Nippon kōshū eisei zasshi] Japanese journal of public health 05/2011; 58(5):391-4.
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ABSTRACT: Severe sepsis leads to organ failure and results in high mortality. Organ dysfunction is an independent prognostic factor for intensive care unit (ICU) mortality. The objective of the present study was to determine the effect of acute organ dysfunction for ICU mortality in patients with severe sepsis using administrative data.
A multicenter cross-sectional study was performed in 2008. The study was conducted in 112 teaching hospitals in Japan. All cases with severe sepsis in ICU were identified from administrative data.
Administrative data acquired for 4196 severe septic cases of 75,069 cases entered in the ICU were used to assess patient outcomes. Cardiovascular dysfunction was identified as the most major organ dysfunction (73.0%), and the followings were respiratory dysfunction (69.4%) and renal dysfunction (39.0%), respectively. The ICU mortality and 28-day means 28-day from ICU entry. were 18.8% and 27.7%, respectively. After adjustment for age, gender, and severity of illness, the hazard ratio of 2, 3, and ≥4, the organ dysfunctions for one organ failure on ICU mortality was 1.6, 2.0, and 2.7, respectively.
We showed that the number of organ dysfunction was a useful indicator for ICU mortality on administrative data. The hepatic dysfunction was the highest mortality among organ dysfunctions. The hazard ratio of ICU death in severe septic patients with multiple organ dysfunctions was average 2.2 times higher than severe septic patients with single organ dysfunction.
Journal of Anaesthesiology Clinical Pharmacology 04/2011; 27(2):180-4.
