A Logistic Regression Analysis of Predictors for Asthma Hospital Re-admissions

authors:

avatar J Salamzadeh 1 , * , avatar ICK Wong 2 , avatar HSR Hosker 3 , avatar H Chrystyn 2

School of Pharmacy, Shaheed Beheshti University of Medical Sciences, Tehran, Iran
School of Pharmacy, University of Bradford, Bradford, UK
Airedale General Hospital, Keighley, Bradford, UK

How To Cite Salamzadeh J, Wong I, Hosker H, Chrystyn H. A Logistic Regression Analysis of Predictors for Asthma Hospital Re-admissions. Iran J Pharm Res. 2003;2(1):e127601. https://doi.org/10.22037/ijpr.2010.27.

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 hospitalisation.