Literature DB >> 18306655

[Reliability of health insurance claim statistical data based on the principal diagnosis method].

Shinichi Tanihara1, Zentaro Yamagata, Hiroshi Une.   

Abstract

OBJECTIVE: The estimation of disease-specific medical expenses in Japan is based on the assumption that all medical care expenses in a given claim are spent on the principal diagnosis even though health insurance claims actually include multiple diagnoses. The purpose of this study was therefore to evaluate the validity of this methodology.
METHODS: Medical expenses and the diagnosis based on the International Classification of Diseases, which are presently used for the Japanese National Health Insurance program, were obtained from 8471 outpatient medical expense claims from the National Health Insurance for Medical services for the Aged in Okaya city, Nagano Prefecture in May 2004. We calculated the frequency of each specific disease and estimated the disease-specific medical expenses using only the principal diagnosis in a claim and 10 diagnoses (principal diagnosis and nine additional diagnoses). Disease-specific medical expenses using 10 diagnoses was estimated according to the Proportional Disease Magnitude method.
RESULTS: The proportion that the principal diagnosis method reflected the frequency based on the method using ten diagnoses differed depending on the diagnosis. The proportion for hypertension was 59.7%, whereas it was 33.3% for diabetes mellitus. Hypertension and diabetes mellitus were estimated to be 18.32% and 5.38%, respectively, of all medical care expenses, as determined using the principal diagnosis method. However, when using ten diagnoses, hypertension and diabetes mellitus were estimated to be 8.50% and 5.16%, respectively, of all medical care expenses.
CONCLUSIONS: The above described principal diagnosis method is therefore considered to overestimate the medical care expenses of diseases that are often selected as the principal diagnosis.

Entities:  

Mesh:

Year:  2008        PMID: 18306655     DOI: 10.1265/jjh.63.29

Source DB:  PubMed          Journal:  Nihon Eiseigaku Zasshi        ISSN: 0021-5082


  6 in total

1.  Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage.

Authors:  Shinya Kimura; Toshihiko Sato; Shunya Ikeda; Mitsuhiko Noda; Takeo Nakayama
Journal:  J Epidemiol       Date:  2010-08-07       Impact factor: 3.211

2.  Declining accuracy in disease classification on health insurance claims: should we reconsider classification by principal diagnosis?

Authors:  Etsuji Okamoto
Journal:  J Epidemiol       Date:  2010-01-09       Impact factor: 3.211

3.  Assessment of text documentation accompanying uncoded diagnoses in computerized health insurance claims in Japan.

Authors:  Shinichi Tanihara
Journal:  J Epidemiol       Date:  2015-02-07       Impact factor: 3.211

4.  Cost of shifting from healthcare to long-term care in later life across major diseases: analysis of end-of-life care during the last 24 months of life.

Authors:  Tomoko Terada; Keiko Nakamura; Kaoruko Seino; Masashi Kizuki; Naohiko Inase
Journal:  J Rural Med       Date:  2018-05-29

5.  Effects of health guidance on outpatient and pharmacy expenditures: a disease- and drug-specific 3-year observational study using propensity-score matching.

Authors:  Etsuji Okamoto
Journal:  J Epidemiol       Date:  2013-06-01       Impact factor: 3.211

6.  The proportion of uncoded diagnoses in computerized health insurance claims in Japan in May 2010 according to ICD-10 disease categories.

Authors:  Shinichi Tanihara
Journal:  J Epidemiol       Date:  2014-06-28       Impact factor: 3.211

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.