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2.
Allergol Int ; 72(1): 75-81, 2023 Jan.
Article in English | MEDLINE | ID: mdl-35965192

ABSTRACT

BACKGROUND: Asthma cases have been increasingly investigated using claims data. However, the validity of defining asthma cases using health insurance claims in Japan is unclear. This study aims to assess the positive and negative predictive values of our proposed discrimination criteria for asthma. METHODS: We developed discrimination criteria for asthma based on both the International Statistical Classification of Diseases and Related Health Problems (ICD)-10 disease codes for asthma and health insurance claims data for prescriptions and the treatment of asthma. Inclusion criteria were patients aged ≥16 years with at least one health insurance claim from April 2018 to March 2019 in all departments of our hospital. Physician-diagnosed asthma documented in the charts was used as the reference standard. Positive and negative predictive values of the discrimination criteria for physician-diagnosed asthma were estimated and compared with those estimated from discrimination criteria based solely on ICD-10 codes. RESULTS: The new discrimination criteria had a high positive predictive value (PPV) of 86.0%, which was significantly higher than the PPV for the criteria defined solely by the ICD-10 codes (61.5%) (P < 0.01). The negative predictive values for both criteria were 100%. Allergic rhinitis and chronic cough were frequently misclassified as asthma using the discrimination criteria based solely on ICD-10 codes but were more likely to be appropriately classified using our proposed criteria. CONCLUSIONS: Our proposed criteria adequately identified asthma subjects using health insurance claims data in Japan with a high PPV. Further studies are needed for external validation of these criteria.


Subject(s)
Asthma , Insurance, Health , Humans , Predictive Value of Tests , Japan/epidemiology , Asthma/diagnosis , Asthma/epidemiology , International Classification of Diseases , Databases, Factual
3.
Int Heart J ; 62(5): 997-1004, 2021 Sep 30.
Article in English | MEDLINE | ID: mdl-34544976

ABSTRACT

Catheter ablation for atrial fibrillation (AF) has been an established and frequently utilized approach in a variety of clinical settings. Nevertheless, real-world data about the clinical course of AF patients after initial catheter ablation remain limited, and these are mainly derived from particular registries or selected high-volume centers.In this study, we used health check-ups and insurance claims database from a Japanese insurance organization. The study population was comprised of 1777 patients who underwent catheter ablation for AF before June 2016. During the 3-year follow-up period, 396 (22.3%) patients underwent at least one repeated AF ablation, while 74 (4.2%) underwent two or more repeated ablations. In multivariate Cox regression analysis, longer time after AF diagnosis (7-11 months and ≥12 months versus 1-6 months) (HR, 1.05; 95% CI, 1.01-1.08 and HR, 1.04; 95% CI 1.02-1.07) was independently associated with repeated ablation. The discontinuation rates of OACs and AADs after the first ablation were 26.7% and 63.0% at 3 months and 75.2% and 89.1% at 1 year after the initial ablation, respectively. The former was independently associated with shorter time after AF diagnosis and lower diastolic blood pressure, whereas the latter was independently associated with older age, smaller CHADS2 score, and shorter time after AF diagnosis.We presented real-world data regarding the clinical course of young Japanese AF patients after initial catheter ablation based on a claims database in Japan.


Subject(s)
Atrial Fibrillation/diagnosis , Atrial Fibrillation/surgery , Catheter Ablation/methods , Insurance Claim Review/statistics & numerical data , Adult , Age Factors , Anti-Arrhythmia Agents/therapeutic use , Atrial Fibrillation/epidemiology , Catheter Ablation/statistics & numerical data , Comorbidity , Factor Xa Inhibitors/therapeutic use , Female , Follow-Up Studies , Humans , Japan/epidemiology , Male , Middle Aged , Registries , Regression Analysis , Retrospective Studies , Time Factors , Treatment Outcome
4.
J Gen Fam Med ; 22(3): 118-127, 2021 May.
Article in English | MEDLINE | ID: mdl-33977008

ABSTRACT

JMDC, Inc. (JMDC) has created a database, using data collected from health insurance societies in Japan, consisting of ledgers of insureds, claims (for hospitalization, outpatient treatment, drug preparation, and dental treatment), and health checkup results. The earliest data are from the claims in January 2005, except dental claims from December 2009 and health checkup results from April 2008. Currently (the end of June 2020), the number of insureds included is approximately 9.8 million. This database is unique for Japan and has the following characteristics: (a) the basic population can be ascertained; (b) standardization is carried out using a dictionary; and (c) anonymized individual IDs can be followed on the basis of a time-series over various periods, with the earliest starting date being January 2005. However, it has certain limitations, in that the disease status and test results cannot be ascertained, and there is insufficient access to data for elderly people.

5.
J Cardiol ; 78(2): 150-156, 2021 08.
Article in English | MEDLINE | ID: mdl-33663881

ABSTRACT

BACKGROUND: Direct oral anticoagulants (DOACs) are widely used for stroke prevention in patients with non-valvular atrial fibrillation (NVAF). We investigated the adherence of DOACs for years known to be associated with the effectiveness in Japanese NVAF patients, using a claim database. METHOD: We performed a retrospective evaluation of NVAF patients in a claims database in Japan, who initiated dabigatran, rivaroxaban, and apixaban between April 2011 and June 2016. Drug persistence was assessed by Kaplan-Meier method for the initially-prescribed DOAC and all DOACs including switched ones. Proportion of days covered (PDC) was also evaluated in patients with persistent prescription and compared among DOACs. RESULTS: In the total of 671 patients, rivaroxaban (47%) was more prescribed than dabigatran (28%) and apixaban (25%). Drug persistence at 3 years was higher in rivaroxaban (69%) than dabigatran (57%) and apixaban (67%). Including switching to other DOACs, persistence of DOACs was 72% at 3 years without significant differences between index-DOACs. In multivariate Cox regression analysis, absence of hypertension, and prior history of cancer were significantly associated with the drug discontinuation of all DOACs. The mean PDC was ~ 95% and the frequency of high-adherent patients (PDC ≥0.80) was more than 90%, which similarly persisted at 3 years and showed no significant differences between index DOACs. CONCLUSION: In a real-world Japanese claim data analysis, about 70% of patients under DOAC showed persistence with anticoagulation therapy at 3 years. High adherence to DOACs assessed by PDC (over 90%) persisted to 3 years regardless of the types of DOACs.


Subject(s)
Atrial Fibrillation , Stroke , Administration, Oral , Anticoagulants/therapeutic use , Atrial Fibrillation/complications , Atrial Fibrillation/drug therapy , Dabigatran/therapeutic use , Humans , Japan/epidemiology , Pyridones/therapeutic use , Retrospective Studies , Rivaroxaban/therapeutic use , Stroke/epidemiology , Stroke/etiology , Stroke/prevention & control
6.
J Gen Fam Med ; 21(6): 211-218, 2020 Nov.
Article in English | MEDLINE | ID: mdl-33304714

ABSTRACT

JMDC, Inc. (JMDC) has created a database, using data collected from medical institutions in Japan, consisting of claims (for hospitalization and outpatient treatment), diagnosis procedure combination (DPC) assessment forms, and clinical laboratory test values. The oldest data in this database that can be accessed relate to treatment in April 2014. Currently (the end of October 2019), the number of medical institutions is 218, consisting of 131 DPC-eligible hospitals and 87 DPC-ineligible hospitals. Using this database, it is possible to carry out an analysis that makes up for certain limitations of JMDC's another database of data from health insurance societies (eg, the disease status and test results cannot be ascertained, and there is insufficient access to data for elderly people). In addition, it is noteworthy that this database includes not only data from DPC-eligible hospitals but also data from some DPC-ineligible hospitals.

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