Factors Influencing Length of Stay in the Intensive Care Unit

2006 ◽  
Vol 15 (5) ◽  
pp. 502-509 ◽  
Author(s):  
David A. Gruenberg ◽  
Wayne Shelton ◽  
Susannah L. Rose ◽  
Ann E. Rutter ◽  
Sophia Socaris ◽  
...  

• Background Long stays in the intensive care unit are associated with high costs and burdens on patients and patients’ families and in turn affect society at large. Although factors that affect length of stay and outcomes of care in the intensive care unit have been studied extensively, the conclusions reached have not been reviewed to determine whether they reveal an organizational pattern that might be of practical use in reducing length of stay in the unit. • Objective To identify and categorize the factors associated with prolonged stays in the intensive care unit and to describe briefly the nonmedical interventions to date designed to reduce length of stay. • Methods Articles published between January 1990 and March 2005 in English-language journals indexed by MEDLINE were searched for studies on outcomes and costs of care in the intensive care unit and on care at the end of life. • Results The emerging consensus is that length of stay in the intensive care unit is exacerbated by several increasingly discernible medical, social, psychological, and institutional factors. At the same time, several nonmedical, experimental interventions have been designed to reduce length of stay. • Conclusions Interventions involving palliative care, ethics consultations, and other methods to increase communication between healthcare personnel, patients, and patients’ families may be helpful in decreasing length of stay in the intensive care unit. Further studies are needed to provide a strategy for targeting specific risk factors indicated by the literature review.

2021 ◽  
Vol 9 (1) ◽  
pp. 30
Author(s):  
Nashwa M. Radwan ◽  
Nagla E. Mahmoud ◽  
Amal H. Alfaifi ◽  
Khaled I. Alabdulkareem

Background: Prolonged length of Stay (PLOS) increases the risk of hospital-acquired infections and disrupts patient flowand access to care due to bed shortages. The extent to which PLOS is attributable to complications, patient characteristics, illness, or inefficienpractice style is unclear. Objectives: To determine risk factors associated with prolonged length of stay (PLOS) in intensive care unit. (ICU). Search methods: We searched the COCHRANE, MEDLINE, TRIP and EMBASE from 2010 till now. Selection criteria: We included all the studies published in English language from 2010 till now and investigated the PLOS in ICU after any medical condition. Data collection and analysis: Two authors independently assessed trials eligibility and risk of bias and extracted data. Review Manager 5.3 was utilized to manage the data. Main results: The review included 84719 participants from fourteen observational studies that had some degree of risk of bias and substantial heterogeneity. Post-operative sepsis/ septic shock and the severity of illness of the patients at hospital admission were the most common risk factors for PLOS (OR= 5.65, CI= 1.98, 16.08 and OR=3.95, CI= 1.67, 9.34 respectively), followed by emergency operation (OR= 2.68, CI= 1.56, 4.62), and comorbidities including renal failure and coronary heart disease (OR= 2.64, CI=1.26, 5.51 and OR=2.57, CI= 1.61, 4.10 respectively). Other variables associated with PLOS were respectively; pre-operative condition (OR=2.36, CI=1.28, 4.34), long term use of corticosteroids (OR= 2.03, CI= 1.81, 2.29 ), age >70 years (OR=1.89, CI=0.54, 2.32), operation duration >180 minutes (OR=1.86, CI=1.46, 2.38), most deprived condition (OR= 1.82, CI= 1.15, 2.89), diabetes (OR= 1.36, CI=1.18, 1.56), hypertension (OR=1.32, CI= 1.09, 1.62), smoking (OR=1.25, CI= 1.13, 1.39) and male sex (OR= 1.11, CI=1.06, 1.17). Authors conclusion: Identificationof risk factors associated with PLOS provides the opportunity for intervention to reduce the LOS and support efficient/optimause of hospital resources.


2011 ◽  
Vol 47 (6) ◽  
pp. 423-429 ◽  
Author(s):  
Eduardo Mekitarian Filho ◽  
Werther Brunow de Carvalho ◽  
Sérgio Cavalheiro ◽  
Nelson Kazunobu Horigoshi ◽  
Norberto Antonio Freddi

2015 ◽  
Vol 11 (6) ◽  
pp. S139 ◽  
Author(s):  
Dvir Froylich ◽  
Ricard Corcelles ◽  
Mena Boules ◽  
Stacy Brethauer ◽  
Philip Schauer ◽  
...  

2016 ◽  
Vol 32 (10) ◽  
Author(s):  
Keroulay Estebanez Roque ◽  
Teresa Tonini ◽  
Enirtes Caetano Prates Melo

Abstract: This study sought to evaluate the occurrence of adverse events and their impacts on length of stay and mortality in an intensive care unit (ICU). This is a prospective study carried out in a teaching hospital in Rio de Janeiro, Brazil. The cohort included 355 patients over 18 years of age admitted to the ICU between August 1, 2011 and July 31, 2012. The process we used to identify adverse events was adapted from the method proposed by the Institute for Healthcare Improvement. We used a logistical regression to analyze the association between adverse event occurrence and death, adjusted by case severity. We confirmed 324 adverse events in 115 patients admitted over the year we followed. The incidence rate was 9.3 adverse events per 100 patients-day and adverse event occurrence impacted on an increase in length of stay (19 days) and in mortality (OR = 2.047; 95%CI: 1.172-3.570). This study highlights the serious problem of adverse events in intensive care and the risk factors associated with adverse event incidence.


Author(s):  
Hakan Dal ◽  
Esra Sultan Karabulut Keklik ◽  
Baris Kaki

Objective: After onset of coronavirus disease (COVID-19), the risk for exposure or having the disease is increased among healthcare providers involved in the treatment of the disease. There are reports of healthcare providers died due to COVID-19 disease who became ill during work. This resulted in psychological distress in healthcare providers. In this study, we aimed to investigate anxiety in healthcare providers working at intensive care units, considered as an area at highest risk, and to confirm social psychological factors among healthcare providers working in hospitals. Materials and Methods: The study included 106 healthcare providers working in intensive care unit who accepted participation to the survey. The healthcare providers responded to survey were stratified into 2 groups as those working in pandemic intensive care unit (pandemic group; n=55) and those working in remaining intensive care units (others; n=51). The relationship between sociodemographic characteristics and levels of anxiety and depression was evaluated using State-Trait Anxiety Inventory. Results: In our study, it was found that STAI anxiety scores were higher in healthcare providers working in pandemic intensive care unit during COVID-19 outbreak (p<0.05). In the pandemic group, anxiety scores were significantly higher in male healthcare providers when compared to female healthcare providers (p>0.05). However, it was seen that healthcare providers with work experience of 1-10 years had higher mean anxiety level in STAI-II scale. It was also seen that anxiety score was significantly higher in those with work experience of 1-10 years when compared to those work experience of 11-20 years or ≥21 years (p<0.05). Work setting, male gender, experience of intensive care and concerns about outbreak were identified as factors associated to anxiety. Conclusion: Our study showed that STAI anxiety scores were higher in healthcare providers working in pandemic ICU during COVID-19 outbreak. The COVID-19 period has led psychological problems in healthcare providers working in ICU. It is important to provide psychological support and information, and to monitor psychological status in healthcare providers.


2019 ◽  
Vol 48 (3) ◽  
pp. 226
Author(s):  
Fatemeh Kheiry ◽  
Abolfazl Mohammadbeigi ◽  
Sima Afrashteh ◽  
Sadegh Kargarian-Marvasti Kargarian-Marvasti ◽  
Salma Naderi Naderi ◽  
...  

2008 ◽  
Vol 29 (7) ◽  
pp. 664-666 ◽  
Author(s):  
Matthew E. Griffith ◽  
Russell S. Gonzalez ◽  
John B. Holcomb ◽  
Duane R. Hospenthal ◽  
Glenn W. Wortmann ◽  
...  

A retrospective review of hospital records for Acinetobacter baumannii infection at a US Army combat support hospital revealed a monthly infection rate ranging from 20.5 to 0 cases per 1,000 patients admitted. The rate correlated with the mean census of host-nation patients in the intensive care unit, the mean census of host-nation patients on the wards, and length of stay in the intensive care unit.


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