Marjan Vejdani; Raha Salehabadi; Seyyed Ehsan Saffari; Maryam Barabadi; Marziyeh Vejdani; Zohreh Nejatzadehgan-Eidgahi; Samira Fovji
Volume 22, Issue 6 , January and February 2016, , Pages 1105-1117
Abstract
Background: Elderly patient's length of stay in hospitals is very important and similar research is low. This study was aim to determine the factors affecting on length of stay of hospitalized elderly Vaseie hospital in Sabzevar (2014) using numerical regression models. Materials: This study was a cross-sectional ...
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Background: Elderly patient's length of stay in hospitals is very important and similar research is low. This study was aim to determine the factors affecting on length of stay of hospitalized elderly Vaseie hospital in Sabzevar (2014) using numerical regression models. Materials: This study was a cross-sectional study for modeling of length of stay in elderly patients in Vaseie hospital during second 6 months of 1392 in Sabzevar. 3330 elderly were selected using convenient sampling and the amount of length of stay was considered as the response variable and demographic variables as independent variables. Count regression models were used to analyze the data at a significant level of 0.05 using SAS software (version 9.2). Result: The mean age was 74/2 ± 8/4, 50/3% were male and mean length of stay of elderly patients was 4/8 ± 3/5 days. Also according to the regression model, there was not a statistically significant relationship between length of stay with sex, but relationship between age with length of stay was statistically significant (P= 0/008). So that the number of hospitalization days were increased approximately one day for one-year increase in age. Conclusion: Since the hospitalization stay is a count variable, count regression models introduced in this study are functional and very suitable statistical models and recommend for similar cases.