Factors related to the length of hospital stay for cerebrovascular accident.
10.11817/j.issn.1672-7347.2014.09.007
- Author:
Tao XIAO
1
;
Siqing DING
;
Wenguang YAN
;
Yijia HE
Author Information
1. Department of Emergency,Third Xiangya Hospital, Central South University, Changsha 410013, China.
- Publication Type:Journal Article
- MeSH:
Female;
Humans;
Length of Stay;
Logistic Models;
Male;
Stroke
- From:
Journal of Central South University(Medical Sciences)
2014;39(9):907-911
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the factors related to the length of hospital stay for cerebrovascular accident and to provide the basis for health administrative department to formulate measures, and for clinical department to develop treatment guidelines.
METHODS:We collected the medical record of the hospitalized cerebrovascular accident patients from 2008 to 2013 in the Third Xiangya Hospital, Central South University. The collected data included demographic information, disease characteristics, treatment information and health economics information. Then we analyzed the factors related to the length of hospital stay for cerebrovascular accident. SPSS 13.0 was used for statistical analysis and logistic regression and nonparametric rank sum test was performed.
RESULTS:The length of stay in hospital was from one day to 513 days, with a median of 10 days. The length of stay for women was shorter than that of men (OR=0.869). The length of stay for the older patients was longer than that of younger patients (OR=1.158). The length of stay for patients who implemented a surgery was 1.686 times longer than those who were not implemented a surgery (OR=1.686). The length of stay for ischemic cerebrovascular patients was shorter than that of the hemorrhagic cerebrovascular patients (OR=0.275). The patients with new rural cooperative medical insurance or without health insurance usually stayed a short time in hospital.
CONCLUSION:Sex, age, surgery, type of cerebrovascular accident and medicare type are the factors that affect the length of hospital stay for cerebrovascular accident.
