論文

査読有り
2006年10月

Profiling of resource use variation among six diseases treated at 82 Japanese special functioning hospitals, based on administrative data

HEALTH POLICY
  • Kazuaki Kuwabara
  • ,
  • Yuichi Imanaka
  • ,
  • Shinya Matsuda
  • ,
  • Kiyohide Fushimi
  • ,
  • Hideki Hashimoto
  • ,
  • Koichi B. Ishikawa
  • ,
  • Hiromasa Horiguchi

78
2-3
開始ページ
306
終了ページ
318
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.healthpol.2005.11.006
出版者・発行元
ELSEVIER IRELAND LTD

Background: Profiling treatment in Japanese hospitals has rarely been conducted systematically with an administrative database. The study aims to present descriptive statistics of medical profiling and to examine the sources of variation in resource used for six common diseases.
Methods: Administrative records for 266,677 patients were analyzed to examine variation in length of stay (LOS) and total charge (TC) by hierarchical multiple linear regression for cases of ischemic stroke, ischemic heart disease (IHD), great vessel disease (GVD), respiratory neoplasm, gastric neoplasm and colonic neoplasm.
Results: Average LOS and TC increased with disease severity and invasiveness of surgical procedure. The coefficient of determination of the full model was highest for LOS in IHD (0.432), and for TC that was highest in GVD (0.702). Among various variable sets examined, surgical procedures explained largest variance in resource use.
Conclusion: With a standardized database derived from claims data, wide audience of stakeholders in Japanese healthcare will be able to access the profiling of practice or disease variation concerned. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.healthpol.2005.11.006
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/16343686
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000240837500017&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.healthpol.2005.11.006
  • ISSN : 0168-8510
  • PubMed ID : 16343686
  • Web of Science ID : WOS:000240837500017

エクスポート
BibTeX RIS