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41 result(s) for "DPC data"
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Validation Study of Diabetes Definitions Using Japanese Diagnosis Procedure Combination Data Among Hospitalized Patients
Background: Validation studies of diabetes definitions using nationwide healthcare databases are scarce. We evaluated the validity of diabetes definitions using disease codes and antidiabetic drug prescriptions in the Japanese Diagnosis Procedure Combination (DPC) data via medical chart review.Methods: We randomly selected 500 records among 15,334 patients who participated in the Japan Public Health Center-Based Prospective Study for the Next Generation in Yokote City and who had visited a general hospital in Akita between October 2011 and August 2018. Of the 500 patients, 98 were linked to DPC data; however, only 72 had sufficient information in the medical chart. Gold standard confirmation was performed by board-certified diabetologists. DPC-based diabetes definitions were based on the International Classification of Diseases, 10th Revision codes and antidiabetic prescriptions. Sensitivity, specificity, and the positive and negative predictive values (PPV and NPV, respectively) of DPC-based diabetes definitions were evaluated.Results: Of 72 patients, 23 were diagnosed with diabetes using chart review; 19 had a diabetes code, and 13 had both a diabetes code and antidiabetic prescriptions. The sensitivity, specificity, PPV, and NPV were 89.5% (95% confidence interval [CI], 66.9–98.7%), 96.2% (95% CI, 87.0–99.5%), 89.5% (95% CI, 66.9–98.7%), and 96.2% (95% CI, 87.0–99.5%), respectively, for (i) diabetes codes alone; 89.5% (95% CI, 66.9–98.7%), 94.3% (95% CI, 84.3–98.8%), 85.0% (95% CI, 62.1–96.8%), and 96.2% (95% CI, 86.8–99.5%) for (ii) diabetes codes and/or prescriptions; 68.4% (95% CI, 43.4–87.4%), 100% (95% CI, 93.3–100%), 100% (95% CI, 75.3–100%), and 89.8% (95% CI, 79.2–96.2%) for (iii) both diabetes codes and prescriptions.Conclusions: Our results suggest that DPC data can accurately identify diabetes among inpatients using (i) diabetes codes alone or (ii) diabetes codes and/or prescriptions.
Nationwide epidemiology and clinical practice patterns of pediatric urinary tract infections: application of multivariate time-series clustering
Background The nationwide epidemiology and clinical practice patterns for younger children hospitalized with urinary tract infections (UTIs) were unclear.MethodsWe conducted a retrospective observational study consisting of 32,653 children aged < 36 months who were hospitalized with UTIs from 856 medical facilities during fiscal years 2011–2018 using a nationally representative inpatient database in Japan. We investigated the epidemiology of UTIs and changes in clinical practice patterns (e.g., antibiotic use) over 8 years. A machine learning algorithm of multivariate time-series clustering with dynamic time warping was used to classify the hospitals based on antibiotic use for UTIs.ResultsWe observed marked male predominance among children aged < 6 months, slight female predominance among children aged > 12 months, and summer seasonality among children hospitalized with UTIs. Most physicians selected intravenous second- or third-generation cephalosporins as the empiric therapy for treating UTIs, which was switched to oral antibiotics during hospitalizations for 80% of inpatients. Whereas total antibiotic use was constant over the 8 years, broad-spectrum antibiotic use decreased gradually from 5.4 in 2011 to 2.5 days of therapy per 100 patient-days in 2018. The time-series clustering distinctively classified 5 clusters of hospitals based on antibiotic use patterns and identified hospital clusters that preferred to use broad-spectrum antibiotics (e.g., antipseudomonal penicillin and carbapenem).ConclusionsOur study provided novel insight into the epidemiology and practice patterns for pediatric UTIs. Time-series clustering can be useful to identify the hospitals with aberrant practice patterns to further promote antimicrobial stewardship.
Open colectomy vs. laparoscopic colectomy in Japan: a retrospective study using real-world data from the diagnosis procedure combination database
PurposeTo compare the short-term outcomes of conventional open colectomy with those of laparoscopic colectomy for colon cancer.MethodsWe retrieved data between January 2014 and March 2016 from the Diagnosis Procedure Combination database. A total of 69,418 patients who underwent colectomy for colon cancer were analyzed from among 15,901,766 cases of colorectal cancer. We applied a multilevel logistic regression model using a 2-level structure of individuals nested from 1065 hospitals.ResultsA total of 22,440 open colectomy and 46,978 laparoscopic colectomy procedures were performed. The in-hospital mortality rate was significantly lower in the laparoscopic group than in the open group (0.28% vs. 0.06%, odds ratio [OR] 0.40, p < 0.001). Similarly, the 30-day postoperative mortality rate (0.14% vs. 0.03%, OR 0.47, p = 0.019) and surgical morbidity rate (43.0% vs. 25.3%, OR 0.47, p < 0.001) were significantly lower in the laparoscopic group than in the open group. The postoperative length of stay was significantly longer in the open group (mean difference − 5.6 days, p < 0.001) than in the open group. The admission cost was significantly greater in the open group than in the laparoscopic group (mean difference − 95,080 yen, p < 0.001).ConclusionsLaparoscopic colectomy is safe and effective in the short term.
Cost-effectiveness of polymyxin B hemoperfusion for septic shock: an observational study using a Japanese nationwide administrative database
Background Polymyxin B hemoperfusion (PMX) removes endotoxin from septic shock patients. Although the treatment has been clinically used for more than 20 years, its cost-effectiveness has not been evaluated in detail. Methods This study used the Japanese diagnosis procedure combination (DPC) administrative database from April 2018 to March 2021. We selected adult patients with a primary diagnosis of sepsis and the SOFA score at the sepsis diagnosis was between 7 and 12. The patients were divided into the PMX group that received PMX treatment and the control group that did not receive PMX. After adjusting the patient background by propensity score matching, we calculated the incremental cost-effectiveness ratio (ICER) by determining the difference in quality-adjusted life-year (QALY) and medical cost between the PMX and the control groups. Results Nineteen thousand two hundred eighty-three patients were included in the study. Among them, 1492 patients received PMX treatment, and 17,791 did not. As a result of 1:3 propensity score matching, 965 patients in the PMX group and 2895 patients in the control group were selected and analyzed. Twenty-eight-day mortality and hospital mortality were significantly lower in the PMX group. The average medical cost per patient of the PMX group was 31,418 ± 21,144 Euro and that of the control group was 24,483 ± 21,762 Euro, with a difference of 6935 Euro. Life expectancy, life year-gained (LYG), and the QALY were 1.70, 0.86, and 0.60 years longer in the PMX group, respectively. The ICER was calculated to be 11,592 Euro/year, which was lower than the reported willingness-to-pay threshold of 38,462 Euro/year. Conclusion Polymyxin B hemoperfusion was shown to be an acceptable treatment in terms of the medical economy.
Factors associated with 30-day readmission of patients with heart failure from a Japanese administrative database
Background Numerous studies have been conducted in many countries to identify the factors associated with readmission of patients with heart failure (HF). However, there have been no such studies utilizing a large-scale administrative database in Japan. This study aimed to establish the factors associated with 30-day readmission of patients with HF using a Japanese nationwide administrative database. Methods Data of the index admissions of 68,257 patients discharged from 1057 participating hospitals between April 1, 2012 and March 31, 2013 were analyzed. Patients were divided into the 30-day readmission group and no readmission group according to whether unplanned HF readmission occurred within 30 days after discharge. Study variables included age, sex, New York Heart Association functional class (NYHA) at admission, Charlson Comorbidity Index (CCI), length of stay in hospital (LOS), body mass index (BMI) at admission, hospital volume reflected by the number of cases hospitalized with HF, and medical treatment at discharge. Results The 30-day readmission and no readmission groups included 4479 and 63,778 patients, respectively. The independent factors associated with the increase in 30-day readmission were older age, higher NYHA, higher CCI, and use of the following drugs at discharge: beta blockers, loop diuretics, thiazide, and nitrates. In contrast, the independent factors associated with the decrease in 30-day readmission were longer LOS, higher BMI, and the use of angiotensin converting enzyme inhibitors (ACEs) or angiotensin II receptor blockers (ARBs), calcium channel blockers, and spironolactone. Conclusions The results suggest that, especially during the first few weeks after discharge, careful management of HF outpatients with advanced age, high disease severity, multiple comorbidities, or taking beta blockers, loop diuretics, thiazide, and nitrates at discharge may be crucial for reducing the 30-day readmission rate.
Pediatric urolithiasis associated with acute gastroenteritis: an inpatient database study in Japan
Pediatric urolithiasis associated with acute gastroenteritis (AGE) has not been systematically investigated, including its prevalence, risk estimate, and outcome. Using a national inpatient database in Japan, we searched for children (≤59 months old) who were hospitalized for AGE and those complicated by urolithiasis over a 24-month period. We found 23 cases of urolithiasis among 62,800 children who were hospitalized for AGE (3.7 cases/10,000 AGE admissions). AGE was associated with an increased risk of urolithiasis (odds ratio 2.01; p  = 0.015). The patients’ mean age was 24 months and there was male dominance. Four patients had chronic medical conditions, including two with renal conditions. None of the patients had congenital metabolic disorders. Nine patients had causative agents for AGE, including rotavirus ( n  = 5), norovirus ( n  = 2), and bacteria ( n  = 2). Two patients required placement of a nephrostomy tube and the remaining 21 patients were discharged without invasive procedures. Conclusion : Childhood AGE is associated with a twofold risk of urolithiasis in a hospitalized cohort, but the absolute risk is low. Our study shows that AGE-related urolithiasis occurs through a variety of pathogens, and the outcomes of patients are favorable, which is in contrast to previous reports. What is Known: • There are several sporadic reports of pediatric urolithiasis associated with acute gastroenteritis (AGE), predominantly from Japan. • The epidemiology of AGE-related urolithiasis is however unclear. What is New: • AGE is associated with a two-fold risk of urolithiasis in a hospitalized cohort, with its absolute risk of 3.7 cases/10,000 AGE admissions.
History and Profile of Diagnosis Procedure Combination (DPC): Development of a Real Data Collection System for Acute Inpatient Care in Japan
DPC, which is an acronym for “Diagnosis Procedure Combination,” is a patient classification method developed in Japan for inpatients in the acute phase of illness. It was developed as a measuring tool intended to make acute inpatient care transparent, aiming at standardization of Japanese medical care, as well as evaluation and improvement of its quality. Subsequently, this classification method came to be used in the Japanese medical service reimbursement system for acute inpatient care and appropriate allocation of medical resources. Furthermore, it has recently contributed to the development and maintenance of an appropriate medical care provision system at a regional level, which is accomplished based on DPC data used for patient classification. In this paper, we first provide an overview of DPC. Next, we will look back at over 15 years of DPC history; in particular, we will explore how DPC has been refined to become an appropriate medical service reimbursement system. Finally, we will introduce an outline of DPC-related research, starting with research using DPC data.
Existing Data Sources for Clinical Epidemiology: Database of the National Hospital Organization in Japan
This review introduces the National Hospital Organization (NHO) database in Japan. The NHO has maintained two databases through a system of data collection from 140 hospitals in the NHO. National Hospital Organization Clinical Data Archives (NCDA) is collecting clinical information in real time from the electronic medical records since January 2016, and Medical Information Analysis (MIA) databank is collecting daily insurance claims data since April 2010. The NHO database covers more than 8 million patients in 140 hospitals throughout Japan. The database consists of the information of patient profiles, hospital admission and discharge, diagnosis with ICD-10 codes, text data from medical chart, daily health insurance claims such as medical procedures, medications or surgeries, vital signs and laboratory data, and so on. The NHO database includes a wide variety of diseases and settings, including acute, chronic and intractable diseases, emergency medical services, disaster medicine, response to emerging infectious disease outbreaks, medical care according to health policies such as psychiatry, tuberculosis, or muscular dystrophy, and health systems in sparsely populated non-urban areas. Among several common diseases, the database has representativeness in terms of age distribution compared with the Patient Survey 2017 by the Ministry of Health, Labour and Welfare. Interested researchers can contact (700-dbproject@mail.hosp.go.jp) the NHO database division to obtain more information about the NHO database for utilization.
Exploring the Status Quo and Teaching Mode of College English Education in the Information Age
With the rapid development of the information age, new technological means are constantly applied to the field of education and produce good results. This paper uses data mining algorithms to extract and analyze data on college English education and explore how to adjust the teaching methodology. On the basis of improving the inherent defects of the DPC algorithm, this paper determines the clustering center through a scoring function, uses the K-neighbor method to form the cluster backbone, and proposes a nearest-neighbor-based label propagation method to propagate the labels to their adjacent nodes to complete data mining. After mining and analyzing the current situation of English education, it was found that the age group over 30 years old accounted for 77.6%, female teachers accounted for 74.6% of the total number of teachers, teachers with the titles of lecturer and assistant professor accounted for 58%, and 33% of the students were not too satisfied or dissatisfied with the content of the English course. It shows that the English teaching team of universities in this province has shortcomings such as gender imbalance, insufficient young and senior teachers, and less than satisfactory content of English courses, which need to be improved in several aspects.