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Predictors of Hospital Readmission After Motor Vehicle Crash: Prospective Cohort Study.
- Source :
- Journal of Trauma Nursing; Mar/Apr2023, Vol. 30 Issue 2, p83-91, 9p
- Publication Year :
- 2023
-
Abstract
- BACKGROUND: Motor vehicle crash (MVC) is a major public health problem worldwide and contributes to a large burden of death, disability, and economic loss. OBJECTIVE: To identify the predictors of hospital readmission in victims of MVC within 1 year after discharge. METHODS: A prospective cohort study conducted with individuals who suffered MVC admitted to a regional hospital and who were followed up for 12 months after discharge. Predictors of hospital readmission were verified by means of Poisson regression models with robust variance, using a hierarchical conceptual model. RESULTS: Of the 241 patients followed up, 200 were contacted and comprised the population of this study. Of these, 50 (25.0%) reported hospital readmission during the 12-month period after discharge. It was evidenced that being male (relative risk [RR] = 0.58; 95% CI [0.36, 0.95], p =.033) was a protective factor, whereas occurrences of greater severity (RR = 1.77; 95% CI [1.03, 3.02], p =.036), not receiving pre-hospital care (RR = 2.14; 95% CI [1.24, 3.69], p =.006), the occurrence of postdischarge infection (RR = 2.14; 95% CI [1.37, 3.36], p =.001), and having access to rehabilitation treatment (RR = 1.64; 95% CI [1.03, 2.62], p≤.001) are configured as risk factors for hospital readmission in individuals who have suffered these events. CONCLUSION: It was found that gender, trauma severity, pre-hospital care, postdischarge infection, and rehabilitation treatment variables predict hospital readmission in MVC victims within 1 year after discharge. [ABSTRACT FROM AUTHOR]
- Subjects :
- RELATIVE medical risk
STATISTICS
TRAFFIC accidents
CONFIDENCE intervals
HEALTH services accessibility
MATHEMATICAL models
WOUND infections
MULTIVARIATE analysis
AGE distribution
ECONOMIC status
PATIENT readmissions
CONTINUING education units
RACE
RISK assessment
SEVERITY of illness index
SEX distribution
THEORY
DESCRIPTIVE statistics
CHI-squared test
EMPLOYMENT
ALCOHOL drinking
CRITICAL care medicine
VICTIMS
CONTINUING education of nurses
STATISTICAL models
WOUNDS & injuries
LOGISTIC regression analysis
DATA analysis software
DISCHARGE planning
LONGITUDINAL method
POISSON distribution
EMERGENCY medicine
EDUCATIONAL attainment
INSURANCE
Subjects
Details
- Language :
- English
- ISSN :
- 10787496
- Volume :
- 30
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- Journal of Trauma Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 162272594
- Full Text :
- https://doi.org/10.1097/jtn.0000000000000707