scholarly journals Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dominic Jenkins ◽  
Sarah A. Thomas ◽  
Sameer A. Pathan ◽  
Stephen H. Thomas

Abstract Objectives One goal of Emergency Department (ED) operations is achieving an overall length of stay (LOS) that is less than four hours. The goal of the current study was to assess for association between increasing number of on-duty EM Consultants and LOS, while adjusting for overall (all-grade) on-duty emergency doctors’ numbers and other operational factors. Methods This was a retrospective analysis of three years (2016–2019) of data, employing a unit of analysis of 3276 eight-hour ED shifts. The study was conducted using a prospectively populated ED database in a busy (annual census 420,000) Middle Eastern ED with staffing by Consultants and multiple non-Consultant grades (Specialists, fellows, and residents). Using logistic regression, the main predictor variable of “on-duty Consultant n” was assessed for association with the study’s primary (dichotomous) endpoint: whether a shift’s median LOS met the target of < 240 min. Linear regression was used to assess for association between on-duty Consultant n and the study’s secondary (continuous) endpoint: median LOS for the ED shift. Results Multivariate logistic regression adjusting for a number of operations factors (including total EP on-duty complement) identified an association between increasing n of on-duty Consultants and the likelihood of a shift’s meeting the 4-h ED LOS target (OR 1.27, 95% CI 1.20 to 1.34, p < .0001). Multiple linear regression, which also adjusted for total on-duty EP n and other operational factors, also indicated LOS benefit from more on-duty Consultants: each additional on-duty Consultant was associated with a shift’s median LOS improving by 5.4 min (95% CI 4.3 to 6.5, p < .0001). Conclusions At the study site, in models that adjusted for overall on-duty EP numbers as well as myriad other operational factors, increasing numbers of on-duty Consultants was associated with a statistically and operationally significant reduction in ED LOS.

Author(s):  
Patricia Cerrito

Ultimately, a patient severity index is used to compare patient outcomes across healthcare providers. If the outcome is mortality, logistic regression is used. If the outcome is cost, length of stay, or some other resource utilization, then linear regression is used. A provider is ranked based upon the differential between predicted outcome and actual outcome. The greater this differential, the higher the quality ranking. There are two ways to increase this differential. The first is to improve care to decrease actual mortality or length of stay. The second is to improve coding to increase the predicted mortality or length of stay. Ultimately, it is cheaper to increase the predicted values than it is to decrease the actual values. Many providers take this approach.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jeongyong Sim ◽  
Yuri Choi ◽  
Jinwoo Jeong

Objective. A nationwide strike that took place from August 21 to September 7, 2020, which was led by young doctors represented by residents and interns, resulted in shortages of manpower at almost all university and training hospitals. This study aimed to identify differences in the process and outcomes of emergency department (ED) patient care by comparing the performance over about 2 weeks of the strike with that during the usual ED operations. Methods. This retrospective observational study evaluated ED flow and performance during the junior doctors’ strike and compared it with the usual period in a single tertiary-care academic hospital. The outcome variables were defined as ED length of stay, crude mortality, and hospital mortality and adjusted for demographic and clinical parameters. The effect of the doctors’ strike on hospital mortality adjusted for demographic and clinical variables was investigated using logistic regression. Results. A total of 1,121 and 1,496 patients visited the ED during the strike and control periods (both 17 days), respectively. The care usually provided by four or six physicians, including one specialist, was replaced with that by one or two specialists at any one time. During the trainee doctors’ strike, EM specialists managed patients with fewer consultations. However, the proportion of patients who underwent laboratory and radiologic tests did not change significantly. The median ED length of stay significantly decreased from 359 minutes (interquartile range, IQR: 147–391) in the control period to 326 minutes (IQR: 123–318) during the strike period P < 0.001 . The doctors’ strike was not found to have a significant effect on mortality after adjustments with other variables. Conclusion. During the junior doctors’ strike in 2020 in Korea, EM specialists efficiently managed the care of emergency patients with higher levels of acuity without compromising the survival rate, through fewer consultations and faster disposition.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1082-1082
Author(s):  
Colin A Hardin ◽  
Pallawi Torka ◽  
Veera Durga Panuganty ◽  
Mijung Lee ◽  
Dongliang Wang ◽  
...  

Abstract Background Thrombocytopenic thrombotic purpura (TTP) and hemolytic uremic syndrome (HUS) form a group of diseases distinguishable by the development of thrombotic microangiopathy. Both are life-threatening disorders classically described by a pentad of symptoms: microangiopathic hemolytic anemia, thrombocytopenia, fever, renal failure and altered mental status. Early initiation of plasma exchange (PEX) is vital when TTP/HUS is suspected. However, diagnostic criteria are imprecise and clinical judgment remains the primary impetus for initiation of treatment. ADAMTS13 levels have not proven to be highly specific or sensitive for diagnosis of outcomes in TTP/HUS, and the delay in laboratory reporting limits its use in the acute setting. There may be other data available that more closely correlates with prognosis. The goal of this single institution retrospective study is to assess (i) the association of easily available clinical and laboratory factors with early death in patients with clinically diagnosed TTP/HUS, and (ii) the association of these factors among survivors with the length of stay (LOS) during the initial hospitalization with TTP/HUS. Design and methods After IRB approval, medical record review of adult patients at a single tertiary medical center treated with plasma exchange (PEX) for presumed TTP/HUS between 1999 and May 2013 was performed. For the 62 discrete cases identified, demographic and clinical data was obtained from the medical center and pertinent information was collected. Descriptive analysis was used to evaluate clinical symptoms and laboratory biomarkers with respect to their associations with survival. Episodes of TTP/HUS in the same patient were considered discrete if they occurred greater than 3 months apart. Survival was defined by hospital discharge without readmission for TTP/HUS or their sequelae for 3 months following discharge. The association of demographic factors (age, gender), symptoms (fever, neurologic changes, abdominal pain), and laboratory factors (hemoglobin [Hb], white blood cell count [WBC], platelet count, acute kidney injury [AKI] based on creatinine, AST, ALT, lactate dehydrogenase (LDH), indirect bilirubin, prothrombin time (PT), partial thromboplastin time (PTT), reticulocyte count) with survival during the first 3 months was studied using univariate analysis. ADAMTS13 levels were not included in analysis as the decision to treat with PEX was made in all cases prior to knowledge of any deficiency. All factors that attained a p value of, <= 0.1 were analyzed collectively using logistic regression with backward model selection. For survivors (n=49), the association with length of stay was compared with each of the above factors and was similarly studied using univariate analysis and multiple linear regression. Results In our sample (n=62), median age was 48 years and 26 (42%) were male. Of these, 79% (n=49) survived to discharge and did not have relapse or known death until 3 months afterwards. Thirteen (21%) died during hospitalization or within 3 months after discharge. There were 55 TTP and 7 HUS patients included in this retrospective cohort. Acute kidney injury (AKI) was diagnosed in 44 (71%) patients. On univariate analysis, factors associated with death included: AST (p=0.009) and AKI (p=0.045) with trends noted for hemoglobin (p=0.080) and PT (p=0.078). On multiple logistic regression, association with death was observed with AKI (OR: 0.093, 95% CI 0.009 – 0.950, p= 0.04) and hemoglobin (OR: 0.65, 95% CI 0.434 – 0.975, p=0.037). Among the 49 survivors (median age 45.1, range 12-81 years; 28 (57%) were female), correlation of the LOS in hospital with all variables was assessed. On linear regression analysis, elevated white blood cell count (WBC) (p=0.027) and prolonged prothrombin time (PT) (p=0.035) were independently associated with prolonged hospitalization. Conclusion Clinical and laboratory markers found to have an independent association with death are AKI and low hemoglobin. It may be possible to risk stratify patients more accurately with clinical algorithms based on this evidence even before ADAMTS13 levels are available. Increased WBC count and prolonged PT are independently associated with increased length of stay. The application of our results could therefore be used for further risk stratification in prospective studies of outcomes in patients diagnosed with TTP/HUS. Disclosures: No relevant conflicts of interest to declare.


2007 ◽  
Vol 30 (5) ◽  
pp. 177 ◽  
Author(s):  
Trevor S Langhan

Background: Emergency department access block is a growing problem in emergency departments across Canada. Access block is defined as hospital occupancy >85% causing emergency department overcrowding. Hospital overcrowding leads to prolonged emergency department wait times, and delays in the transfer of admitted patients from the emergency department to inpatient beds. The relationship between elective admissions to hospital and emergency department wait times has not been adequately assessed. We undertook a simple linear regression analysis of the impact of elective admissions to hospital on emergency department length of stay. Methods: Linear regression analysis of the number of daily elective admissions to adult acute care beds in the Calgary Health Region in the year 2004 and the daily median emergency department length of stay was done to establish the relationship between elective admissions and Emergency Department length of stay. Results: 37,007 patients were admitted to adult acute care beds via the emergency department and 46,020 patients were admitted to adult acute care beds by all other routes. Regression analysis determined that there was no relationship between daily emergency department length of stay and the number of elective admissions per day. Conclusion: For the year 2004, in the Calgary Health Region, elective acute care admissions to hospital had no relationship to emergency department length of stay for patients admitted via the emergency department. Further study is required to determine causative factors that prolong Emergency Department length of stay. Emergency departments across Canada continue to struggle with the demands of providing high quality care with diminishing resources.


2022 ◽  
Author(s):  
Hyungbok Lee ◽  
Sangrim Lee ◽  
Hyeoneui Kim

Abstract BackgroundTransferring an emergency patient to another emergency department (ED) is necessary when she/he is unable to receive necessary treatment from the first visited ED, although the transfer poses potential risks for adverse clinical outcomes and lowering the quality of emergency medical services by overcrowding the transferred ED. This study aimed to understand the factors affecting the ED length of stay (LOS) of critically ill patients and to investigate whether they are receiving prompt treatment through Interhospital Transfer (IHT).MethodsThis study analyzed 968 critically ill patients transferred to the ED of the study site in 2019. Machine learning based prediction models were built to predict the ED LOS dichotomized as greater than 6 hours or less. Explanatory variables in patient characteristics, clinical characteristics, transfer-related characteristics, and ED characteristics were selected through univariate analyses.ResultsAmong the prediction models, the Logistic Regression (AUC 0.85) model showed the highest prediction performance, followed by Random Forest (AUC 0.83) and Naïve Bayes (AUC 0.83). The Logistic Regression model suggested that the need for emergency operation or angiography (OR 3.91, 95% CI=1.65–9.21), the need for Intensive Care Unit (ICU) admission (OR 3.84, 95% CI=2.53–5.83), fewer consultations (OR 3.57, 95% CI=2.84–4.49), a high triage level (OR 2.27, 95% CI=1.43–3.59), and fewer diagnoses (OR 1.32, 95% CI=1.09–1.61) coincided with a higher likelihood of 6-hour-or-less stays in the ED. Furthermore, an interhospital transfer handoff led to significantly shorter ED LOS among the patients who needed emergency operation or angiography, or ICU admission, or had a high triage level.ConclusionsThe results of this study suggest that patients prioritized in emergency treatment receive prompt intervention and leave the ED in time. Also, having a proper interhospital transfer handoff before IHT is crucial to provide efficient care and avoid unnecessarily longer stay in ED.


2015 ◽  
Vol 39 (5) ◽  
pp. 522
Author(s):  
Minh T. Nguyen ◽  
Richard J. Woodman ◽  
Paul Hakendorf ◽  
Campbell H. Thompson ◽  
Jeff Faunt

Objectives The aim of the present study was to determine whether an aggregate simple clinical score (SCS) has a role in predicting the imminent mortality and in-hospital length of stay (LOS) of newly admitted, acutely unwell General Medical in-patients. Methods Data were collected prospectively from adult patients admitted through an Acute Medical Unit between February and August 2013. Using logistic regression analysis before and after adjustment for age, the SCS was assessed for its association with LOS and mortality, including 30-day mortality, just for those patients for full resuscitation. Changes in sensitivity and specificity after adding SCS to age as a predictor, as well as the change in the net reclassification index, were determined using the predicted probabilities from the logistic regression models. Results The SCS was superior to age in predicting mortality of any patient within 30 days. It did not assist in predicting 30-day mortality for those patients who were for full resuscitation. The ability of the SCS to predict long stay (>72 h) remained relatively low (64%) and was inferior to published rates achieved by bedside clinician assessment (74%–82%). Conclusion There was no useful prospective role for the SCS in predicting LOS and mortality of in-patients newly admitted to a General Medicine service. What is known about the topic? After their presentation to the emergency department, care efficiency is improved by the ‘streaming’ of patients according to their risk of imminent deterioration and their likelihood of being a long-stay patient. Although streaming is currently effected by bedside assessment of the patient, an accepted aggregate assessment score may assist disposition decisions. What does this paper add? Bedside assessment of each patient still offers the most accurate method for identifying the long-stay patient. The SCS, good at predicting 30-day mortality of all new admissions, is not useful for predicting the death of those admissions who are for full resuscitation. What are the implications for practitioners? When deciding admitted patients’ disposition on leaving the emergency department, a simple aggregate score based on patient physiology, comorbidity and functionality has little to offer practitioners beyond knowledge of each patient’s age.


2014 ◽  
Vol 6 (4) ◽  
pp. 770-773 ◽  
Author(s):  
Taketo Watase ◽  
Lalena M. Yarris ◽  
Rongwei Fu ◽  
Daniel A. Handel

Abstract Background Emergency medicine (EM) residents are expected to develop competence in emergency department (ED) administration and operations. Objectives We assessed current needs and educational practices related to preparing EM residents for their role in ED operations, and explored whether there was an association between program characteristics and the presence of ED operations education in US EM residency programs. Methods We conducted a cross-sectional needs assessment, using a web-based survey sent to all US EM residency programs to assess program characteristics, provision of ED operations-related lectures, availability of an ED administrative fellowship, and presence of a formal ED operations curriculum. Logistic regression was used to determine if any program characteristics were associated with the presence of lectures and a formal operations curriculum. Results Of the 158 Accreditation Council for Graduate Medical Education–accredited EM programs, 117 (74%) responded. Of these, 109 (93%) respondents had at least 1 lecture on ED operational topics. Sixty programs (54%) measured resident productivity. Knowledge of Centers for Medicaid & Medicare Services reimbursement guidelines was significantly positively associated with presence of an ED operations curriculum (OR, 3.52, P  =  .009) and with lectures on patient satisfaction (OR, 3.99, P  =  .006). Measuring resident productivity was positively associated with having lectures on productivity (OR, 2.50, P  =  .02) and with ED throughput (OR, 2.32, P  =  .03). No 2 variables were simultaneously significant in the model. Conclusions Most EM programs had at least 1 lecture on ED operations topics. Roughly half of the programs measured resident productivity and half had a formal ED operations curriculum.


2019 ◽  
Vol 37 (1) ◽  
pp. 19-24
Author(s):  
Yutaka Kondo ◽  
Hiroyuki Ohbe ◽  
Hideo Yasunaga ◽  
Hiroshi Tanaka

ObjectiveFocused assessment with sonography in trauma (FAST) examination is a widely known initial evaluation for patients with trauma. However, it remains unclear whether FAST contributes to patient survival in patients with haemodynamically stable trauma. In this study, we compared in-hospital mortality and length of stay between patients undergoing initial FAST vs initial CT for haemodynamically stable torso trauma.MethodsThis was a retrospective cohort study using data from 264 major emergency hospitals in the Japan Trauma Data Bank between 2004 and 2016. Patients were included if they had torso trauma with a chest or abdomen abbreviated injury scale score of ≥3 and systolic blood pressure of ≥100 mm Hg at hospital arrival. Eligible patients were divided into those who underwent initial FAST and those who underwent initial CT. Multivariable logistic regression analysis for in-hospital mortality and multivariable linear regression for length of stay were performed to compare the initial FAST and initial CT groups with adjustment for patient backgrounds while also adjusting for within-hospital clustering using a generalised estimating equation.ResultsThere were 9942 patients; 8558 underwent initial FAST and 1384 underwent initial CT. Multivariable logistic regression showed no significant difference in in-hospital mortality between the initial FAST and initial CT groups (OR 1.37, 95% CI 0.94 to 1.99, p=0.10). Multivariable linear regression revealed that the initial FAST group had a significantly longer length of stay than the initial CT group (difference: 3.5 days; 95% CI 1.0 to 5.9, p<0.01).ConclusionsIn-hospital mortality was not significantly different between the initial FAST and initial CT groups for patients with haemodynamically stable torso trauma. Initial CT should be considered in patients with haemodynamically stable torso trauma.


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