Factors associated with length of stay in hospital among the elderly patients using count regression models
Arezoo Orooji, Eisa Nazar, Masoumeh Sadeghi, Ali Moradi, Zahra Jafari, Habibollah Esmaily · Medical Journal of the Islamic Republic of Iran · 2021
↑What is "already known" in this topic: Elderly population in Iran is considerably mounting.It is estimated the number of seniors over 60 years will be more than 26 million by 2025.→What this article adds: Length of stay in hospitals among elderly patients is affected by protective factors, including emergency hospitalization, admission to the CCU, and gender (male), respectively.Factors that resulted in increased LOS were discharge status (Deceased), patients with diagnosis of injuries and poisoning, and native residence, respectively.Negative binomial regression model is a better statistical method for estimating the influencing factors on LOS.