Paper Information

Journal:   IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH (IJPR)   WINTER 2003 , Volume 2 , Number 1; Page(s) 5 To 9.
 
Paper: 

A LOGISTIC REGRESSION ANALYSIS OF PREDICTORS FOR ASTHMA HOSPITAL RE-ADMISSIONS

 
 
Author(s):  SALAMZADEH J.*, WONG I.C.K., HOSKER H.S.R., CHRYSTYN H.
 
* SCHOOL OF PHARMACY, SHAHEED BEHESHTI UNIVERSITY OF MEDICAL SCIENCES, TEHRAN, IRAN
 
Abstract: 

In order to identify the risk factors (predictors) of re-hospitalisation for high-risk asthmatic patients, a retrospective logistic regression analysis describing the relationship between the probability of re-admission and possible predictors in hospitalised asthmatics, aged over 5 years, between 1994-1998, was designed. Study setting was a district general hospital in the West Yorkshire, UK. The results obtained showed that there was a 25.5% re-admission rate for 440 patients admitted to the hospital during the period of study. Multivariate logistic regression analysis using the forward stepwise method revealed that only sex (OR=2.65, 95% CI: 1.42, 4.92), Jarman score (OR=2.03, 95% CI: 1.13-3.65) and allergy (OR=1.88, 95% CI: 1.06-3.32) could remain in the model as significant risk factors.
It could be concluded that female patients, patients registered within the practices with a higher workload (higher Jarman score) and those who has a history of allergy were at a higher risk of re-admission. More attention should be paid to these patients who are in a higher risk of hospitalization.

 
Keyword(s): ASTHMA, PREDICTORS, RE-ADMISSION, GENDER, JARMAN SCORE, ALLERGY
 
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