Validity of diagnoses and procedures in Japanese dental claims data

Ono, Sachiko; Ishimaru, Miho; Ida, Yusuke; Yamana, Hayato; Ono, Yoshiyasu; Hoshi, Kazuto; Yasunaga, Hideo

doi:10.1186/s12913-021-07135-3

Cited by 17 publications

(22 citation statements)

References 15 publications

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“…Fifth, we have not conducted quality checks of data from the NDB. However, studies examined the validity of data from NDB in Japan using sensitivity analyses, and showed that the recorded medical and dental diagnoses and procedures were useful in research using the administrative data [ [23] , [24] , [25] ].…”

Section: Limitationmentioning

confidence: 99%

Use of the dental formula from the National Database of Health Insurance Claims and Specific Health Checkups of Japan

Tsuneishi

Yamamoto

Yamaguchi

et al. 2022

Japanese Dental Science Review

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The National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) is a database including health insurance claim and specific health checkup data. Observational studies using real-world big data attract attention because they have certain strengths, including external validity and a large sample size. This review focused on research using the dental formula of the NDB because the number of teeth is an important indicator of oral health. The number of teeth present calculated using the dental formula of periodontitis patients was similar to that from the Survey of Dental Diseases. In addition, the graphs of the presence rates of tooth types by 5-year age groups from the NDB were smoother and had less overlap than those from the Survey of Dental Diseases, and they could detect slight changes in the presence rate that reflected sugar consumption before and after World War II. Using the NDB, a low number of teeth was associated with high medical care expenditures, high risk of aspiration pneumonia, and high risk of Alzheimer’s disease. Although there are some restrictions on the use of the NDB, we hope that dental research using the NDB will be further promoted in the future.

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Section: Limitationmentioning

confidence: 99%

Use of the dental formula from the National Database of Health Insurance Claims and Specific Health Checkups of Japan

Tsuneishi

Yamamoto

Yamaguchi

et al. 2022

Japanese Dental Science Review

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“…Full‐text articles of 42 studies were retrieved, and six were excluded because they compared aggregate data, validated self‐report questionnaires using claims data as a reference standard, were review articles, were aimed at refining the cancer registry and not for research purposes, did not report case‐defining methods, or did not report a reference standard 12,19–23 . There were 36 eligible studies, including 29 studies 8,10,11,13,24–48 that validated administrative data using an external reference standard and seven studies 9,49–54 that validated administrative data using other data within the same database.…”

Section: Resultsmentioning

confidence: 99%

Validation studies of Japanese administrative health care data: A scoping review

Yamana

Konishi

Yasunaga

2023

Pharmacoepidemiology and Drug

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Purpose Large‐scale administrative health care databases are increasingly being utilized for research. However, there has not been much literature that validated administrative data in Japan; a previous review identified six validation studies published between 2011 and 2017. We conducted a literature review of studies that assessed the validity of Japanese administrative health care data. Methods We searched for studies published by March 2022 that compared individual‐level administrative data with a reference standard from another data source, as well as studies that validated administrative data using other data within the same database. The eligible studies were also summarized based on characteristics which included data types, settings, reference standard used, numbers of patients, and conditions validated. Results There were 36 eligible studies, including 29 that used external reference standard and seven that validated administrative data using other data within the same database. Chart review was the reference standard in 21 studies (range of the numbers of patients, 72–1674; 11 studies conducted in single institutions and nine studies in 2–5 institutions). Five studies used a disease registry as the reference standard. Diagnoses of cardiovascular diseases, cancer, and diabetes were frequently evaluated. Conclusions Validation studies are being conducted at an increasing rate in Japan, although most of them are small scale. Further large‐scale comprehensive validation studies are necessary to effectively utilize the databases for research.

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“…Following previous validation studies, we defined diagnosis based on chart reviews as the reference standard 11,13,19,20. Because the quality of the descriptions in the charts affects the quality of the chart reviews, we took 2 measures.…”

Section: Discussionmentioning

confidence: 99%

Validity of Algorithms to Identify Patients With Glaucoma Using the Japanese Claims Data

Fujita

Aoyama

Yamana

et al. 2022

Journal of Glaucoma

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Précis: Diagnostic or antiglaucoma drug records in the Japanese claims data showed a high validity in identifying glaucoma patients. Specific subtypes were identified with high specificity and negative predictive values but low sensitivity and positive predictive values. Purpose: Despite the widespread use of administrative claims data in epidemiological research on glaucoma, only a few studies have investigated the validity of the methods in defining patients with glaucoma using diagnoses and drug records. We aimed to evaluate the validity of these algorithms in identifying patients with glaucoma using the Japanese claims data. Methods: Two ophthalmologists independently reviewed the medical charts and administrative claims data of 500 randomly selected patients who visited the Department of Ophthalmology of an academic hospital in 2019. We constructed 12 algorithms to identify patients with any type and specific subtypes of glaucoma using the claims records of diagnosis, antiglaucoma drugs, and visual field tests. We regarded the diagnosis of glaucoma based on the medical charts as the reference standard and calculated the sensitivity, specificity, and positive and negative predictive values of each algorithm based on the claims data. Results: The algorithms of ≥1 diagnostic record per year and ≥1 antiglaucoma drug record per year exhibited sensitivities of 94.6% and 89.2%, respectively, and specificities of 88.9% and 98.3%, respectively. An increase in the frequency of records resulted in a decreased sensitivity and slightly increased specificity. The addition of visual field tests did not improve the validity. The algorithms for specific subtypes of glaucoma exhibited high specificity and relatively low sensitivity. Conclusion: Diagnostic or antiglaucoma drug records in the Japanese claims data were useful for identifying patients with glaucoma. Researchers should select identification algorithms based on the study design.

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Validity of diagnoses and procedures in Japanese dental claims data

Cited by 17 publications

References 15 publications

Use of the dental formula from the National Database of Health Insurance Claims and Specific Health Checkups of Japan

Use of the dental formula from the National Database of Health Insurance Claims and Specific Health Checkups of Japan

Validation studies of Japanese administrative health care data: A scoping review

Validity of Algorithms to Identify Patients With Glaucoma Using the Japanese Claims Data

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