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Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China

Authors :
Tiancai Wen
Baoyan Liu
Xia Wan
Xiaoping Zhang
Jin Zhang
Xuezhong Zhou
Alexander Y. L. Lau
Yanning Zhang
Source :
BMC Neurology, Vol 18, Iss 1, Pp 1-11 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Background Unplanned readmission within 31 days of discharge after stroke is a useful indicator for monitoring quality of hospital care. We evaluated the risk factors associated with 31-day unplanned readmission of stroke patients in China. Methods We identified 50,912 patients from 375 hospitals in 29 provinces, municipalities or autonomous districts across China who experienced an unplanned readmission after stroke between 2015 and 2016, and extracted data from the inpatients’ cover sheet data from the Medical Record Monitoring Database. Patients were grouped into readmission within 31 days or beyond for analysis. Chi-squared test was used to analyze demographic information, health system and clinical process-related factors according to the data type. Multilevel logistic modeling was used to examine the effects of patient (level 1) and hospital (level 2) characteristics on an unplanned readmission ≤31 days. Results Among 50,912 patients, 14,664 (28.8%) were readmitted within 31 days after discharge. The commonest cause of readmissions were recurrent stroke (34.8%), hypertension (22.94%), cardio/cerebrovascular disease (13.26%) and diabetes/diabetic complications (7.34%). Higher risks of unplanned readmissions were associated with diabetes (OR = 1.089, P = 0.001), use of clinical pathways (OR = 1.174, P

Details

Language :
English
ISSN :
14712377
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.941cd8b7ef684e6b91e3a609befe9446
Document Type :
article
Full Text :
https://doi.org/10.1186/s12883-018-1209-y