
| ID | 52137 |
| JaLCDOI | |
| フルテキストURL | |
| 著者 |
Tanihara, Shinichi
Department of Preventive Medicine and Public Health, School of Medicine, Fukuoka University
Imatoh, Takuya
Department of Preventive Medicine and Public Health, School of Medicine, Fukuoka University
Momose, Yoshito
Department of Preventive Medicine and Public Health, School of Medicine, Fukuoka University
|
| 抄録 | Setting public health priorities requires precise estimation of the burden of disease, including disease-specific medical expenditure. Information on multiple and ruled-out diagnoses on health insurance claims (HICs) has been ignored in traditional analyses of disease-specific medical expenditures in Japan. This study reviewed 448 inpatients with at least one diagnosis of sepsis on their HICs, who were insured by corporate health insurance organizations making claims on services provided from April 2006 to March 2007 in Japan. Subjects in whom sepsis-related diagnoses were specified as “ruled-out” were compared with subjects in whom sepsis-related diagnoses were classified as “not-ruled-out” (i.e., subjects in whom sepsis was considered possibly or likely present). Direct medical expenditure, length of stay (LOS), cost per day, cost of antibiotics, and proportion of administered cephalosporin and carbapenems were significantly higher in subjects classified as not-rule-out. When using health insurance claims in Japan, the statistics of medical expenditures and LOS are influenced by procedures performed to rule out a diagnosis, as well as those performed to treat a confirmed diagnosis of sepsis.
|
| キーワード | health insurance claims
length of stay
medical expenditures
ruled-out diagnoses
sepsis
|
| Amo Type | Original Article
|
| 出版物タイトル |
Acta Medica Okayama
|
| 発行日 | 2014-02
|
| 巻 | 68巻
|
| 号 | 1号
|
| 出版者 | Okayama University Medical School
|
| 開始ページ | 1
|
| 終了ページ | 6
|
| ISSN | 0386-300X
|
| NCID | AA00508441
|
| 資料タイプ |
学術雑誌論文
|
| 言語 |
英語
|
| 著作権者 | CopyrightⒸ 2014 by Okayama University Medical School
|
| 論文のバージョン | publisher
|
| 査読 |
有り
|
| PubMed ID | |
| Web of Science KeyUT |