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Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306006/ https://www.ncbi.nlm.nih.gov/pubmed/30587162 http://dx.doi.org/10.1186/s12883-018-1209-y |
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author | Wen, Tiancai Liu, Baoyan Wan, Xia Zhang, Xiaoping Zhang, Jin Zhou, Xuezhong Lau, Alexander Y. L. Zhang, Yanning |
author_facet | Wen, Tiancai Liu, Baoyan Wan, Xia Zhang, Xiaoping Zhang, Jin Zhou, Xuezhong Lau, Alexander Y. L. Zhang, Yanning |
author_sort | Wen, Tiancai |
collection | PubMed |
description | 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 < 0.001), and being discharged without doctor’s advice (OR = 1.485, P < 0.001). Lower risks were associated with basic medical insurances (OR ranging from 0.225 to 0.716, P < 0.001) and commercial medical insurance (OR = 0.636, P = 0.021), compared to self-paying for medical services. And patients aged 50 years old and above (OR ranging from 0.650 to 0.985, P < 0.05), with haemorrhagic stroke (OR = 0.467, P < 0.001), with length of stay more than 7 days in hospital (OR ranging from 0.082 to 0.566, P < 0.001), also had lower risks. CONCLUSIONS: Age, type of stroke, medical insurance status, type of discharge, use of clinical pathways, length of hospital stay and comorbidities were the most influential factors for readmission within 31 days. |
format | Online Article Text |
id | pubmed-6306006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63060062019-01-02 Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China Wen, Tiancai Liu, Baoyan Wan, Xia Zhang, Xiaoping Zhang, Jin Zhou, Xuezhong Lau, Alexander Y. L. Zhang, Yanning BMC Neurol Research Article 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 < 0.001), and being discharged without doctor’s advice (OR = 1.485, P < 0.001). Lower risks were associated with basic medical insurances (OR ranging from 0.225 to 0.716, P < 0.001) and commercial medical insurance (OR = 0.636, P = 0.021), compared to self-paying for medical services. And patients aged 50 years old and above (OR ranging from 0.650 to 0.985, P < 0.05), with haemorrhagic stroke (OR = 0.467, P < 0.001), with length of stay more than 7 days in hospital (OR ranging from 0.082 to 0.566, P < 0.001), also had lower risks. CONCLUSIONS: Age, type of stroke, medical insurance status, type of discharge, use of clinical pathways, length of hospital stay and comorbidities were the most influential factors for readmission within 31 days. BioMed Central 2018-12-26 /pmc/articles/PMC6306006/ /pubmed/30587162 http://dx.doi.org/10.1186/s12883-018-1209-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wen, Tiancai Liu, Baoyan Wan, Xia Zhang, Xiaoping Zhang, Jin Zhou, Xuezhong Lau, Alexander Y. L. Zhang, Yanning Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title | Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title_full | Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title_fullStr | Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title_full_unstemmed | Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title_short | Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China |
title_sort | risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306006/ https://www.ncbi.nlm.nih.gov/pubmed/30587162 http://dx.doi.org/10.1186/s12883-018-1209-y |
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