Data regarding fracture incidence according to fracture site, month, and age group obtained from the large public health insurance claim database in Japan

Hayashi, Shun; Noda, Tatsuya; Kubo, Shinichiro; Myojin, Tomoya; Nishioka, Yuichi; Higashino, Tsuneyuki; Akahane, Manabu; Imamura, Tomoaki

doi:10.1016/j.dib.2019.103780

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…Potentially, NDB contains the entire information about healthcare services being provided to the citizens. The database (more than 14,810 million claims of 126 million citizens as of March 2018 [ 11 ]) has been actively studied [ [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] ].…”

Section: Introductionmentioning

confidence: 99%

Virtual patient identifier (vPID): Improving patient traceability using anonymized identifiers in Japanese healthcare insurance claims database

Sato

Mitsutake

Yamada

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Virtual patient identifier (vPID): Improving patient traceability using anonymized identifiers in Japanese healthcare insurance claims database

Sato

Mitsutake

Yamada

et al. 2023

Heliyon

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“…We have previously used the National Database to create retrospective sample cohorts of >100 million individuals with a very small selection bias, and thus, the National Database has satisfactory generalizability 3 . The National Database has been used to obtain real‐world health‐related evidence of global relevance 4 , 5 , 6 , 7 , 8 .…”

Section: Introductionmentioning

confidence: 99%

The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study

Nishioka

Kubo

Okada

et al. 2022

J of Diabetes Invest

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This study clarified the age of death in patients with or without diabetes using the largest health insurance database in Japan. This population-based retrospective cohort study was performed using the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) data. The ages of death between people with and without diabetes were compared. A total of 142,277,986 patients (74,488,962 women and 67,789,024 men) over 6 years, including 4,647,016 females, and 6,507,817 males with diabetes, were included. 2,786,071 females and 2,975,876 males died over 6 years, including 652,699 females and 954,655 males with diabetes. The average age of death in patients with diabetes was 2.6 years less than that of patients without diabetes. This descriptive epidemiological study illustrated the difference in age at death of patients with and without diabetes.This study compared the trends in the age of death of people with diabetes with people without diabetes in Japan. Continuous quantification using descriptive epidemiology should help to remove the stigma associated with having diabetes. MATERIALS AND METHODS Data sourceThe study cohort comprised anonymized data of individuals enrolled in the NDB of the universal health coverage system of patients with any insurance program in Japan. The NDB data provided information on personal identifiers 3 , date, age group, sex, description of the procedures performed, World Health Organization International Classification of Diseases (ICD-10) diagnosis codes, medical care received medical examinations conducted without the results, and prescribed drugs.

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Section: Introductionmentioning

confidence: 99%

“…We have previously used the National Database to create retrospective sample cohorts of > 100 million individuals with a very small selection bias, and thus, good generalizability 9 The National Database contains health data on an extremely large population, which enables epidemiological studies of relatively rare conditions to be conducted with good statistical power. The National Database has been used to obtain real-world health-related evidence of global relevance [10][11][12][13][14] Using a large national database, this population-based study aimed to determine whether there is an association between the onset of type 1 diabetes and a diagnosis of influenza. To this end, we used a self-controlled case series method that enabled us to evaluate the effects of specific environmental factors on the onset of type 1 diabetes.…”

Section: Introductionmentioning

confidence: 99%

Association between influenza and the incidence rate of new‐onset type 1 diabetes in Japan

Nishioka

Noda

Okada

et al. 2021

J of Diabetes Invest

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Aim: This study aimed to determine whether there is an association between influenza and new-onset type 1 diabetes. Materials and methods: This population-based retrospective cohort study used data from the National Database of Health Insurance Claims and Specific Health Check-ups of Japan. Influenza was defined based on drug prescriptions and the onset of type 1 diabetes was defined using specific medical codes indicating a diagnosis of type 1 diabetes. The incidence rate ratio of new-onset type 1 diabetes within 180 days after an influenza diagnosis was calculated and it was compared with that at other times using Poisson regression and generalized estimating equations. Sensitivity analyses were performed to confirm the robustness of this finding. Results: The data of 10,400 patients with new-onset type 1 diabetes were analyzed, including 2,196 (952 male 1,244 female) patients diagnosed with influenza between 1 September 2014 and 31 August 2017. Although only patients with type 1 diabetes were included, adjusted analysis showed that individuals had a 1.3-fold (95% confidence interval: 1.15-1.46) higher risk of developing type 1 diabetes in the first 180 days after influenza diagnosis than that at other times. Conclusions: In this Japanese population-based cohort, the risk of new-onset type 1 diabetes may increase after the diagnosis of influenza. These results, which must be confirmed in other populations, suggest that influenza may be a causal factor for new-onset type 1 diabetes. The molecular mechanisms underlying the potential etiological relationship between influenza and type 1 diabetes should be elucidated.

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Data regarding fracture incidence according to fracture site, month, and age group obtained from the large public health insurance claim database in Japan

Cited by 6 publications

References 2 publications

Virtual patient identifier (vPID): Improving patient traceability using anonymized identifiers in Japanese healthcare insurance claims database

Virtual patient identifier (vPID): Improving patient traceability using anonymized identifiers in Japanese healthcare insurance claims database

The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study

Association between influenza and the incidence rate of new‐onset type 1 diabetes in Japan

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