| アブストラクト | BACKGROUND: Reducing the 30-day unplanned hospital readmission rate is a goal for physicians and policymakers in order to improve quality of care. However, data on the readmission rate of critically ill patients in Japan and knowledge of the predictors associated with readmission are lacking. We investigated predictors associated with 30-day rehospitalization for medical and surgical adult patients separately. METHODS: Patient data from 502 acute care hospitals with intensive care unit (ICU) facilities in Japan were retrospectively extracted from the Japanese Diagnosis Procedure Combination (DPC) database between April 2012 and February 2014. Factors associated with unplanned hospital readmission within 30 days of hospital discharge among medical and surgical ICU survivors were identified using multivariable logistic regression analysis. RESULTS: Of 486,651 ICU survivors, we identified 5583 unplanned hospital readmissions within 30 days of discharge following 147,423 medical hospitalizations (3.8% readmitted) and 11,142 unplanned readmissions after 339,228 surgical hospitalizations (3.3% readmitted). The majority of unplanned hospital readmissions, 60.9% of medical and 63.1% of surgical case readmissions, occurred within 15 days of discharge. For both medical and surgical patients, the Charlson comorbidity index score; category of primary diagnosis during the index admission (respiratory, gastrointestinal, and metabolic and renal); hospital length of stay; discharge to skilled nursing facilities; and having received a packed red blood cell transfusion, low-dose steroids, or renal replacement therapy were significantly associated with higher unplanned hospital readmission rates. CONCLUSIONS: From patient data extracted from a large Japanese national database, the 30-day unplanned hospital readmission rate after ICU stay was 3.4%. Further studies are required to improve readmission prediction models and to develop targeted interventions for high-risk patients. |
|---|
| ジャーナル名 | Journal of intensive care |
|---|
| Pubmed追加日 | 2018/3/7 |
|---|
| 投稿者 | Ohnuma, Tetsu; Shinjo, Daisuke; Brookhart, Alan M; Fushimi, Kiyohide |
|---|
| 組織名 | 1Department of Health Policy and Informatics, Tokyo Medical and Dental University;Graduate School, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138519 Japan.0000 0001 1014;9130grid.265073.5;2Department of Epidemiology, Gillings School of Global Public Health, University;of North Carolina, Chapel Hill, USA.0000 0001 1034 1720grid.410711.2;3The Database Center of the National University Hospital, The University of Tokyo;Hospital, Tokyo, Japan.0000 0004 1764 7572grid.412708.8 |
|---|
| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/29507728/ |
|---|
