Relation between demographic factors and hospitalization in patients with gastrointestinal disorders, using quantile regression analysis.
OBJECTIVE
The aim of this study is to investigate relation between demographic factors and hospitalization in gastrointestinal disorders. Quantile regression was used to analyze the predictors of duration of staying in hospital for patients with GI disease.


METHODS
This study was designed as a retrospective cross-sectional survey included all consecutive gastrointestinal (GI) patients admitted over one year period in a random selected hospital group located in Tehran metropolitan in 2006. Residence, age, sex and type of GI disorders were analyzed respectively using quantile regression.


RESULTS
A total of 6405 patients with GI disorders were included in the study, There were 3633 men (56.7%) and 2772 women (43.3%). Type of diseases was a significance predictor for length of staying at hospital in quantile regression analysis. Age was significant only in second quartile and sex was not assessed as a predictor at all.


CONCLUSIONS
The results have demonstrated that duration of hospitalization for inpatients with GI cancers was longer than other groups and quantile analysis drawn a good picture of predictors for length of hospitalization.
Pourhoseingholi
Asma
A
7th Floor of Taleghani Hospital, Research Center of Gastroenterology and Liver diseases, Shahid 1. Research Center of Gastroenterology and Liver Diseases, Shahid Beheshti University, (M.C), Tehran, Iran.
Pourhoseingholi
Mohamad Amin
MA
Vahedi
Mohsen
M
Moghimi-Dehkordi
Bijan
B
Maserat
Azadeh Safaee Elham
AS
Zali
Mohammad Reza
MR
D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D005767:Gastrointestinal Diseases / Q000145:classification / Q000175:diagnosis / Q000453:epidemiology*; D006801:Humans; D007492:Iran / Q000453:epidemiology; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors