Predicting Length of Stay among Patients Discharged from the Emergency Department—Using an Accelerated Failure Time Model
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چکیده
منابع مشابه
Predicting Length of Stay among Patients Discharged from the Emergency Department—Using an Accelerated Failure Time Model
BACKGROUND Emergency department (ED) crowding continues to be an important health care issue in modern countries. Among the many crucial quality indicators for monitoring the throughput process, a patient's length of stay (LOS) is considered the most important one since it is both the cause and the result of ED crowding. The aim of this study is to identify and quantify the influence of differe...
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Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting ED LOS among different patient disposition groups.This is a retrospective electronic data analys...
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BACKGROUND In many countries, the length of stay (LOS) for inpatient rehabilitation following stroke has gradually decreased. It is unclear whether this trend is associated with differences in functional outcomes, especially in developing countries. This study aimed to examine associations between LOS and functional outcomes among patients with stroke discharged from an inpatient rehabilitation...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0165756