Estimating length of hospital stay, with regard to associated factors; A model to enhance healthcare service efficiency and reduce healthcare resource consumption
Seyed Nasser Moosavi, Ashkan Khalifeh, Ali Shojaee, Masoud Abessi

TL;DR
This study analyzes how season, age, and gender influence hospital stay length, proposing a model to improve healthcare efficiency and reduce costs by considering these factors.
Contribution
It introduces a statistical model analyzing key demographic and seasonal factors affecting hospital stay length to optimize resource allocation.
Findings
All three factors significantly affect LOS (p<0.01).
Gender and age interaction significantly influences LOS.
Winter and autumn have the highest LOS averages.
Abstract
To assess the efficiency and the resource consumption level in healthcare scope, many economic and social factors have to be considered. An index which has recently been studied by the researchers, is length of hospital stay (LOS) defined as how long each patient is hospitalized. Detecting and controlling the factors affecting this index can help to reduce healthcare costs and also to improve healthcare service efficiency. The effects of three major factors, say, the season during which the patient is hospitalized, the patients age and his/her gender on LOS pertaining to 82718 patients receiving healthcare service from the hospitals under contract to insurance organization in Tehran, have been analyzed, using unbalanced factorial design. The test results imply that the whole model is significant (P-value=0<0.01), the separate effects of all three factors on LOS are significant…
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Taxonomy
TopicsGlobal Health Care Issues · Healthcare Systems and Reforms · Healthcare Policy and Management
