Medical Journal of the Islamic Republic Of Iran
مجله پزشکی جمهوری اسلامی ایران
Med J Islam Repub Iran
Medical Sciences
http://mjiri.iums.ac.ir
2
journal2
1016-1430
2251-6840
8
10.18869/mjiri
14
8888
13
en
jalali
1395
10
1
gregorian
2017
1
1
31
1
online
1
fulltext
en
Assessment of length of stay in a general surgical unit using a zero-inflated generalized Poisson regression
Biostatistics and Epidemiology
Biostatistics and Epidemiology
Original Research
Original Research
<p><strong>Background: </strong>The effective use of limited health care resources is of prime importance. Assessing the length of stay (LOS) is especially important in organizing hospital services and health system. This study was conducted to identify predictors of LOS among patients who were admitted to a general surgical unit.<br>
<strong> Methods: </strong>In this cross-sectional study, the sample included all patients who were admitted to the general surgical unit of Shariati hospital in 2013 (n= 334). To determine the factors affecting LOS, Zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), and zero-inflated generalized Poisson (ZIGP) regression models were fitted using R software, and then the best model was selected.<br>
<strong> Results:</strong> Among all 334 patients, the mean (±SD) age of the patients was 45.2 (±16.47) years and 220 (65.9%) of them were male. The results revealed that based on ZIGP model, type of surgery (appendicitis, abdomen and its contents, hemorrhoids, lung, and skin), type of insurance, comorbid diseases (hypertension, heart disease, and hyperlipidemia), place of residence (local and non-local), age, and number of tests had significant effects on the LOS of GS patients.<br>
<strong> Conclusion:</strong> According to the Akaike information criterion (AIC) in each fitted model, it was found that ZIGP regression model is more appropriate than ZIP and ZINB regression models in assessing LOS in GS patients, especially due to the presence of excess zeros and overdispersion in count data.<br>
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Length of stay, General surgical unit, Zero-inflated generalized Poisson regression
530
534
http://mjiri.iums.ac.ir/browse.php?a_code=A-10-1487-2&slc_lang=en&sid=1
Roghaye Farhadi Hassankiadeh
roghaye.farhadi@modares.ac.ir
200319475328460034176
200319475328460034176
No
. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Anoshirvan
Kazemnejad
Kazem_an@modares.ac.ir
200319475328460034177
200319475328460034177
Yes
. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Mohammad
Gholami Fesharaki
Mohammad.gholami@modares.ac.ir
200319475328460034178
200319475328460034178
No
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Siamak
Kargari
kargar@shariatihospital.ir
200319475328460034179
200319475328460034179
No
Shariati Hospital, Medical Education Research Center, Tehran, Iran.
Nasim
Vahabi
Nasim.vahabi@modares.ac.ir
200319475328460034180
200319475328460034180
No
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.