پديد آورندگان :
پوررضا، ابوالقاسم نويسنده Professor, health economic, Tehran University of Medical Sciences, Tehran, Iran , , صلواتي، صديقه نويسنده PhD Student, health policy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz and Tehran University of Medical Sciences, Tehran,د , , صادقي درويشي، سميه نويسنده BSc, health services management, deputy for curative services, Lorestan University of Medical Sciences, Lorestan, Iran , , صالحي نسب، مهديه نويسنده MSc Student, health services management, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , , تابش، حامد نويسنده Assistant Professor, Biostatistics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , , مميوند، فاطمه نويسنده BSc Student, health services management, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , , كيشي زاده ، زهرا نويسنده BSc Student, health services management, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran ,
چكيده لاتين :
Abstract
Introduction: Hospitals to meet the challenges of rising costs, forced to adopt strategies for efficient use
of resources. The average length of stay is an important and functional indicator of hospitals efficiency
evaluation. This study conducted to modeling the patients’ length of stay in infectious ward of Razi
hospital in Ahvaz.
Methods: This was an analytical cross sectional study that conducted in 2012. The population was
patients that hospitalized in infectious ward of Razi hospital in Ahvaz. The sample was medical records of
inpatients admitted to the infectious ward from March 2011 to august 2012(n=1000). Data were gathered
by a form. The Mann–Whitney, Kruskal wallis, Spearman correlation and log regression in SPSS16 were
used for analyzing.
Results: Average and median length of stay was 9.4 ±8.1 and 7 Days respectively. There were the
significant relationship between average length of stay and the patient’s health status at discharge ,type of
insurance, number of visits, patient’s location, total number of tests and total number of diagnostic
tests(p < 0.05).The only variable for prediction of model was number of tests.
Conclusion: Pay attention to necessity and appropriateness of tests, diagnostic tests and visits seems to be
useful. Also designing processes to shorten the tests conducting can be effective in reducing length of stay.
Keywords: Length of Stay; Patients; Hospitals.
