Abstract: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 th… Show more
“…Of the 290 articles identified by the initial search, 248 were excluded after examining their title and abstract. 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.…”
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.
“…Of the 290 articles identified by the initial search, 248 were excluded after examining their title and abstract. 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.…”
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.
“…In a study of academic hospital patients, the mean difference was 1.0 teeth when the number of teeth assessed from the dental claims data was compared with that from radiographs [ 6 ], and this result was consistent with ours. In contrast, an ecological study based on claims-based assessment using a national database and summary results of a national survey in Japan [ 7 ] reported larger differences in the mean number of teeth among the older population. This difference to our findings may be partially explained by the tendency of the number of teeth in claims-based assessments to differ from the actual number of teeth in individuals with fewer teeth, such as older adults.…”
Section: Discussionmentioning
confidence: 97%
“…Although there is potential for the number of teeth to be efficiently assessed using claims data, the use of claims-based assessment is limited, perhaps because its validity has not been sufficiently established. Several studies have reported the validity of the number of remaining teeth in dental claims data [ 6 , 7 ]; however, these studies were limited to patients in one hospital [ 6 ] or to assessments at the population level [ 7 ], rather than at the individual level. Therefore, it remains unclear whether the number of remaining teeth in dental claims data is valid for the general population if assessed using individual-level data.…”
Background
Secondary healthcare data use has been increasing in the dental research field. The validity of the number of remaining teeth assessed from Japanese dental claims data has been reported in several studies, but has not been tested in the general population in Japan.
Objectives
To evaluate the validity of the number of remaining teeth assessed from Japanese dental claims data and assess its predictability against subsequent health deterioration.
Methods
We used the claims data of residents of a municipality that implemented oral health screening programs. Using the number of teeth in the screening records as the reference standard, we assessed the validity of the claims-based number of teeth by calculating the mean differences. In addition, we assessed the association between the claims-based number of teeth and pneumococcal disease (PD) or Alzheimer’s disease (AD) in adults aged ≥65 years using Cox proportional hazards analyses.
Results
Of the 10,154 participants, the mean number of teeth assessed from the claims data was 20.9, that in the screening records was 20.5, and their mean difference was 0.5. During the 3-year follow-up, PD or AD onset was observed in 10.4% (3,212/30,838) and 5.3% (1,589/30,207) of participants, respectively. Compared with participants with ≥20 teeth, those with 1–9 teeth had a 1.29 (95% confidence interval [CI]: 1.17–1.43) or 1.19 (95% CI: 1.04–1.36) times higher risk of developing PD or AD, respectively.
Conclusion
High validity of the claims-based number of teeth was observed. In addition, the claims-based number of teeth was associated with the risk of PD and AD.
“…The mission of the Council of Japan Dental Science of Societies (CJDSS) is to improve the operation of the social insurance system in the field of dental care, to collect and disseminate information related to dental care, and to cultivate and train dental professionals such as dentists and dental hygienists to develop and improve dental care [8] , [9] . Misuse of the medical reimbursement system may lead to issues such as increased medical expenses, greater medical disparities, decreased medical standards, and physician shortages.…”
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