Dataset Information

Prolonged stay in the emergency department is an independent risk factor for hospital-acquired pressure ulcer.

ABSTRACT: It is not easy to ensure optimal prevention of hospital-acquired pressure ulcer (HAPU) in crowded emergency departments (EDs). We hypothesised that a prolonged ED length of stay (LOS) is associated with an increased risk of HAPU. This is a single-centre observational study. Prospectively collected HAPU surveillance data were analysed. Adult (aged ≥20 years) patients admitted through the ED from April 1, 2013 to December 31, 2016 were included. The primary outcome was the development of HAPU within a month. Covariates included demographics, comorbidities, conditions at triage, initial laboratory results, primary ED diagnosis, critical ED interventions, and ED dispositions. The association between ED LOS and HAPU was modelled using logistic and extended Cox regression. A total of 48 641 admissions were analysed. The crude odds ratio (OR) and hazard ratio (HR) for HAPU were increased to 1.44 (95% CI, 1.20-1.72) and 1.21 (95% CI, 1.02-1.45), respectively, in ED LOS ≥24 hours relative to ED LOS <6 hours. In multivariable logistic regression, ED LOS ≥12 and ≥24 hours were associated with higher risk of HAPU, with ORs of 1.30 (95% CI, 1.05-1.60) and 1.80 (95% CI, 1.45-2.23) relative to ED LOS <6 hours, respectively. The extended Cox regression showed that the risk lasted up to a week, with HRs of 1.42 (95% CI, 1.07-1.88) and 1.92 (95% CI, 1.44-2.57) relative to ED LOS <6 hours, respectively. In conclusion, Prolonged ED LOS is independently associated with HAPU. Shorter ED LOS should be pursued as a goal in a multifaceted solution for HAPU.

SUBMITTER: Han D

PROVIDER: S-EPMC7948751 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Prolonged stay in the emergency department is an independent risk factor for hospital-acquired pressure ulcer.

Han Dongkwan D Kang Bora B Kim Joonghee J Jo You Hwan YH Lee Jae Hyuk JH Hwang Ji Eun JE Park Inwon I Jang Dong-Hyun DH

International wound journal 20191126 2

It is not easy to ensure optimal prevention of hospital-acquired pressure ulcer (HAPU) in crowded emergency departments (EDs). We hypothesised that a prolonged ED length of stay (LOS) is associated with an increased risk of HAPU. This is a single-centre observational study. Prospectively collected HAPU surveillance data were analysed. Adult (aged ≥20 years) patients admitted through the ED from April 1, 2013 to December 31, 2016 were included. The primary outcome was the development of HAPU with ...[more]

PMID: 31773872

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Project description:BackgroundProlonged emergency department length of stay (EDLOS) in critically ill patients leads to increased mortality. This nationwide study investigated patient and hospital characteristics associated with prolonged EDLOS and in-hospital mortality in adult patients admitted from the emergency department (ED) to the intensive care unit (ICU).MethodsWe conducted a retrospective cohort study using data from the National Emergency Department Information System. Prolonged EDLOS was defined as an EDLOS of ≥ 6 h. We constructed multivariate logistic regression models of patient and hospital variables as predictors of prolonged EDLOS and in-hospital mortality.ResultsBetween 2016 and 2019, 657,622 adult patients were admitted to the ICU from the ED, representing 2.4% of all ED presentations. The median EDLOS of the overall study population was 3.3 h (interquartile range, 1.9-6.1 h) and 25.3% of patients had a prolonged EDLOS. Patient characteristics associated with prolonged EDLOS included night-time ED presentation and Charlson comorbidity index (CCI) score of 1 or higher. Hospital characteristics associated with prolonged EDLOS included a greater number of staffed beds and a higher ED level. Prolonged EDLOS was associated with in-hospital mortality after adjustment for selected confounders (adjusted odds ratio: 1.18, 95% confidence interval: 1.16-1.20). Patient characteristics associated with in-hospital mortality included age ≥ 65 years, transferred-in, artificially ventilated in the ED, assignment of initial triage to more urgency, and CCI score of 1 or higher. Hospital characteristics associated with in-hospital mortality included a lesser number of staffed beds and a lower ED level.ConclusionsIn this nationwide study, 25.3% of adult patients admitted to the ICU from the ED had a prolonged EDLOS, which in turn was significantly associated with an increased in-hospital mortality risk. Hospital characteristics, including the number of staffed beds and the ED level, were associated with prolonged EDLOS and in-hospital mortality.

Project description:ObjectiveThis study aims to develop and compare different models to predict the Length of Stay (LoS) and the Prolonged Length of Stay (PLoS) of inpatients admitted through the emergency department (ED) in general patient settings. This aim is not only to promote any specific model but rather to suggest a decision-supporting tool (i.e., a prediction framework).MethodsWe analyzed a dataset of patients admitted through the ED to the "Sant"Orsola Malpighi University Hospital of Bologna, Italy, between January 1 and October 26, 2022. PLoS was defined as any hospitalization with LoS longer than 6 days. We deployed six classification algorithms for predicting PLoS: Random Forest (RF), Support Vector Machines (SVM), Gradient Boosting (GB), AdaBoost, K-Nearest Neighbors (KNN), and logistic regression (LoR). We evaluated the performance of these models with the Brier score, the area under the ROC curve (AUC), accuracy, sensitivity (recall), specificity, precision, and F1-score. We further developed eight regression models for LoS prediction: Linear Regression (LR), including the penalized linear models Least Absolute Shrinkage and Selection Operator (LASSO), Ridge and Elastic-net regression, Support vector regression, RF regression, KNN, and eXtreme Gradient Boosting (XGBoost) regression. The model performances were measured by their mean square error, mean absolute error, and mean relative error. The dataset was randomly split into a training set (70%) and a validation set (30%).ResultsA total of 12,858 eligible patients were included in our study, of whom 60.88% had a PloS. The GB classifier best predicted PloS (accuracy 75%, AUC 75.4%, Brier score 0.181), followed by LoR classifier (accuracy 75%, AUC 75.2%, Brier score 0.182). These models also showed to be adequately calibrated. Ridge and XGBoost regressions best predicted LoS, with the smallest total prediction error. The overall prediction error is between 6 and 7 days, meaning there is a 6-7 day mean difference between actual and predicted LoS.ConclusionOur results demonstrate the potential of machine learning-based methods to predict LoS and provide valuable insights into the risks behind prolonged hospitalizations. In addition to physicians' clinical expertise, the results of these models can be utilized as input to make informed decisions, such as predicting hospitalizations and enhancing the overall performance of a public healthcare system.

Project description:BackgroundA prolonged length of stay in an emergency department is related to lower quality of care and adverse outcomes, which are often linked with overcrowding.ObjectiveExamine the influence of demographic factors on prolonged length of stay in the emergency department.MethodsThis study used a cross-sectional design. It used secondary data for all patients admitted during the specific duration at the emergency department of a governmental hospital in Saudi Arabia. The independent variables were gender, age, disposition status, shift time, and clinical acuity (CTAS) level while the dependent variable was prolonged length of stay.ResultsThe study shows that 30% of patients stay at the emergency department for four hours or more. The results also show a significant association between demographic factors which are age, gender, disposition status, shift time, clinical acuity (CTAS) level and prolonged length of stay in an emergency department. Based on the results males are more likely to stay in the emergency department than females (OR = 1.20; 95% CI = 1.04 to 1.38). Patients aged 60 and older are less likely to stay in the emergency department than patients aged 29 or smaller (OR = 0.58; 95% CI = 0.39 to 0.84). According to disposition status discharged patients after examination stays in the emergency department more than admitted patients after the examination (OR = 2.78; 95% CI = 1.67 to 4.99). Patients who come to the night shift are less likely to stay in the emergency department than patients who come in the morning shift (OR = 0.67; 95% CI = 0.56 to 0.81). Patients who are classified in level three of CTAS are less likely to stay in the emergency department than patients who are classified in level one (OR = 0.28; 95% CI = 0.88 to 0.023).ConclusionDemographic factors such as age, gender, shift time, disposition status and clinical acuity (CTAS) were important factors that needed to be considered to reduce the length of stay of patients in the emergency department. it is possible to formulate a machine learning model to predict the anticipated length of stay in the hospital for each patient. This prediction with an accepted margin of uncertainty will help the clinicians to communicate the evidence-based anticipated length of stay with the patient's caregivers. In addition, hospital managers need to provide the emergency department with enough staff and materials to reduce the length of stay of patients.

Project description:Study objectiveTo assess the association of patient and organisational factors with emergency department length of stay (ED-LOS) in elderly ED patients (226565 years old) and in younger patients (<65 years old).MethodsA retrospective cohort study of internal medicine patients visiting the emergency department between September 1st 2010 and August 31st 2011 was performed. All emergency department visits by internal medicine patients 226565 years old and a random sample of internal medicine patients <65 years old were included. Organisational factors were defined as non-medical factors. ED-LOS is defined as the time between ED arrival and ED discharge or admission. Prolonged ED-LOS is defined as ≥75th percentile of ED-LOS in the study population, which was 208 minutes.ResultsData on 1782 emergency department visits by elderly patients and 597 emergency department visits by younger patients were analysed. Prolonged ED-LOS in elderly patients was associated with three organisational factors: >1 consultation during the emergency department visit (odds ratio (OR) 3.2, 95% confidence interval (CI) 2.3-4.3), a higher number of diagnostic tests (OR 1.2, 95% CI 1.16-1.33) and evaluation by a medical student or non-trainee resident compared with a medical specialist (OR 4.2, 95% CI 2.0-8.8 and OR 2.3, 95% CI 1.4-3.9). In younger patients, prolonged ED-LOS was associated with >1 consultation (OR 2.6, 95% CI 1.4-4.6). Factors associated with shorter ED-LOS were arrival during nights or weekends as well as a high urgency level in elderly patients and self-referral in younger patients.ConclusionOrganisational factors, such as a higher number of consultations and tests in the emergency department and a lower seniority of the physician, were the main aspects associated with prolonged ED-LOS in elderly patients. Optimisation of the organisation and coordination of emergency care is important to accommodate the needs of the continuously growing number of elderly patients in a better way.

Project description:BackgroundInjuries are a major cause of health problems in low- and middle-income countries than in high-income nations. This study aimed to describe injuries and identify factors associated with the emergency department (ED) length of stay (LoS).MethodsThis study was conducted at the Addis Ababa Burn, Emergency, and Trauma (AaBET) hospital in Addis Ababa, Ethiopia. All injured patients who visited the ED between April 1, 2021, and March 30, 2022, were included in the study. Data were collected through a retrospective medical record review. Descriptive statistics were used to present the data and a multivariable binary logistic regression model was used to assess factors associated with LoS in the ED.ResultsA total of 6991 (86.8%) injured patients were studied out of 8055 patients who visited the ED. The majority of the patients were male, 5184 (74.2%), and aged between 18-44 years, 4368 (62.4%). The most common mechanism of injury was road traffic accidents, 2693 (38.5%), followed by falls, 1523 (21.8%). The most commonly reported injured body parts were the head (2179, 31.2%). Of the total injured patients, 101 (1.8%) died. The LoS in the ED was greater than 24 hours for 24.4% (95% CI: 23.3-25.5) of the injured patients, with a mean duration of 2.51 (SD = 5.18) days. Factors significantly associated with a prolonged LoS (>24 hours) in the ED included being residing in outside Addis Ababa in Oromia [AOR: 1.61, 95% CI (1.38-1.88)], Amhara [AOR: 1.56, 95% CI (1.14-2.14)] and other [AOR: 3.93, 95% CI (2.73-5.64)], male [AOR: 1.30, 95% CI (1.09-1.54)], aged 60 years or older [AOR: 1.38, 95% CI (1.03-1.85)]; sustaining injuries from road traffic accident [AOR: 2.43, 95% CI (1.19-4.94)], being triaged to orange [AOR: 3.03, 95% CI (2.40-3.83)] and red zones [AOR:3.37, 95% CI (2.65-4.28)]; having fracture injuries [AOR: 1.95, (1.34-2.83)]; and experiencing contusions and crushing injuries [AOR: 2.63 (1.57-4.42)].ConclusionsInjuries are the major share of cases among ED patients at AaBET hospital. Patients were staying in the ED for longer than the recommended 24 hours by the Ethiopian health system. Intervention measures focusing on injury prevention are necessary to reduce the patient burden on the hospital and strengthen the hospital's capacity to reduce prolonged LoS.

Project description:BackgroundThe duration between a patient's arrival at the Emergency Department (ED) and their actual departure, known as the Emergency Department Length of Stay (EDLOS), can have significant implications for a patient's health. In Ethiopia, various studies have investigated EDLOS, but a comprehensive nationwide pooled prevalence of prolonged EDLOS, which varies across different locations, is currently lacking. Therefore, the objective of this systematic review and meta-analysis is to provide nationally representative pooled prevalence of prolonged EDLOS and identify associated factors.MethodsIn this study, we conducted a comprehensive systematic review and meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. We conducted a thorough search of numerous international databases, including PubMed/Medline, SCOPUS, Web of Science, and Google Scholar. The primary outcome was the prevalence of prolonged EDLOS. The secondary outcome was factors affecting the EDLOS. Random-effects model was used to since there was high heterogeneity. We also conducted subgroup analysis and meta-regression to investigate heterogeneity within the included studies. To assess publication bias, we used Egger's regression test and funnel plots. All statistical analyses were performed using STATA version 17.0 software to ensure accurate and reliable findings.ResultWe have identified eight articles that met our inclusion criteria with a total sample size of 8,612 participants. The findings of this systematic review and meta-analysis indicate that the pooled estimate for the prevalence of prolonged EDLOS is 63.67% (95% CI = 45.18, 82.16, I2 = 99.56%, P = 0.0001). The study identified several significant factors associated with prolonged EDLOS, including patients admitted to overcrowded emergency departments (OR = 5.25, 95% CI = 1.77, 15.58), delays in receiving laboratory findings (OR = 3.12, 95% CI = 2.16, 4.49), and delays in receiving radiological results (OR = 3.00, 95% CI = 2.16, 4.16).ConclusionIn this review, the EDLOS was found to be very high. Overcrowding, delays in laboratory test findings, and delays in radiology test results make up the factors that have a statistically significant association with prolonged EDLOS. Given the high prevalence of prolonged EDLOS in this review, stakeholders should work to increase the timeliness of ED services in Ethiopia by proper disposition of non-emergency palliative patients to the appropriate destination, and implementing point-of-care testing and imaging.

Dataset Information

Prolonged stay in the emergency department is an independent risk factor for hospital-acquired pressure ulcer.

Publications

Prolonged stay in the emergency department is an independent risk factor for hospital-acquired pressure ulcer.

Similar Datasets

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