scholarly journals Association of patient-to-emergency department staff ratio with the incidence of cardiac arrest: A retrospective cohort study

2021 ◽  

Background: Emergency department (ED) overcrowding and overuse are global healthcare problems. Despite that substantial pieces of literature have explored quality parameters to monitor the patients’ safety and quality of care in the ED, to the best of our knowledge, no reasonable patient-to-ED staff ratios were established. Objectives: This study aimed to find the association between unexpected emergency department cardiac arrest (EDCA) and the patient-to-ED staff ratio. Methods: A retrospective cohort study was conducted in a medical center in Taiwan. Non-trauma patients (age > 18) who visited the ED from January 1, 2016 to November 30, 2018 were included. The total number of patients in ED, number of patients waiting for boarding, length of stay over 48 hours, and physician/nurse number in ED were collected and analyzed. The primary outcome was the association of each parameter with the incidence of EDCA. Results: A total of 508 patients were included. The total number of patients in ED ( > 361, RR: 1.54; 95% CI {1.239-1.917}), ED occupancy rate (> 280, RR: 1.54; 95% CI {1.245-1.898}), ED bed occupancy rate (> 184, RR: 1.63; 95% CI {1.308-2.034}), number of patients waiting for boarding (> 134, RR: 1.45; 95% CI {1.164-1.805}), number of patients in ED with length of stay over 48 hours (> 36, RR: 1.27; 95% CI {1.029-1.558}) and patient-to-nurse ratio (> 8.5, adjusted RR: 1.33; 95% CI {1.054-1.672}) had significant associations with higher incidence of EDCA. However, the patient-to-physician ratio was not associated with EDCA incidence. Discussions: Regarding loading parameters, the patient-to-nurse ratio is more representative than the patient-to-physician ratio as regards association with higher EDCA incidence. Conclusions: A higher patient-to-nurse ratio (> 8.5) was associated with an increment in the incidence of EDCA. Our findings provide a basis for setting different thresholds for different ED settings to adjust ED staff and develop individually tailored approaches corresponding to the level of ED overcrowding.

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0135066 ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Patricia M. Stassen ◽  
Suze L. E. Lambooij ◽  
Jeanne Dieleman ◽  
Irene T. P. Vanderfeesten ◽  
...  

CJEM ◽  
2017 ◽  
Vol 20 (4) ◽  
pp. 578-585 ◽  
Author(s):  
Colin B. Meyer-Macaulay ◽  
Mimi Truong ◽  
Garth D. Meckler ◽  
Quynh H. Doan

AbstractObjectiveReturn visits to the emergency department (RTED) for the same clinical complaint occur in 2.7% to 8.1% of children presenting to pediatric emergency departments (PEDs). Most studies examining RTEDs have focused solely on PEDs and do not capture children returning to other local emergency departments (EDs). Our objective was to measure the frequency and characterize the directional pattern of RTED to any of 18 EDs serving a large geographic area for children initially evaluated at a PED.MethodsWe conducted a retrospective cohort study of all visits to a referral centre PED between August 2012 and August 2013. We compared demographic variables between children with and without an RTED, measures of flow and disposition outcomes between the initial (index) visit and RTED, and between RTED to the original PED versus to other EDs in the community.ResultsAmong all PED visits, 7.6% had an RTED within 7 days, of which 13% were to a facility other than the original PED. Children with an RTED had higher acuity and longer length of stay on their index visit. They were also more likely to be admitted on a subsequent visit than the overall PED population. RTED to the original PED had a longer waiting time (WT), length of stay, and more frequently resulted in hospitalization than RTED to a general ED.ConclusionsA significant proportion of RTED occur at a site other than where the original ED visit occurred. Examining RTED to and from only PEDs underestimates its burden on emergency health services.


2019 ◽  
Vol 18 (4) ◽  
pp. 232-238
Author(s):  
JJH Wachelder ◽  
◽  
Patricia M. Stassen ◽  
RS Fourmanov ◽  
CH Nickel ◽  
...  

Background: Nonspecific complaints (NSC) at the Emergency Department (ED) are not well researched yet. Objective: To investigate the number of patients who could be classified as having NSC early after arrival in the ED using an algorithm. Method: Retrospective cohort study was conducted among all hemodynamically stable non-trauma adult patients with MTS category orange/yellow visiting the ED. Patients who had no specific complaints/signs, predefined on a list, were categorized as NSC. Results: In total, 2419 patients, of whom 102 (4.2%) presented with NSC. Hospitalization was more prevalent (85.3% vs. 69.0%, p<0.001) and in-hospital mortality was higher in the NSC-group (11.8% vs. 3.5%, adjusted OR 2.0, 95% CI 1.0-3.9, p=0.04). Conclusion: Using an algorithm it is possible to identify NSC patients who have (worse) outcomes than those classified as SC.


2021 ◽  
pp. 088506662098445
Author(s):  
Michelle Wang ◽  
Tuyen T. Yankama ◽  
George T. Abdallah ◽  
Ijeoma Julie Eche ◽  
Kristen N. Knoph ◽  
...  

Objective: Intravenous (IV) olanzapine could be an alternative to first-generation antipsychotics for the management of agitation in intensive care unit (ICU) patients. We compared the effectiveness and safety of IV olanzapine to IV haloperidol for agitation management in adult patients in the ICU at a tertiary academic medical center. Methods: A retrospective cohort study was conducted. The primary outcome was the proportion of patients who achieved a Richmond Agitation Sedation Scale (RASS) score of < +1 within 4 hours of IV olanzapine or IV haloperidol administration. Secondary outcomes included the proportion of patients who required rescue medications for agitation within 4 hours of initial IV olanzapine or IV haloperidol administration, incidence of adverse events and ICU length of stay. Results: In the 192 patient analytic cohort, there was no difference in the proportion of patients who achieved a RASS score of < +1 within 4 hours of receiving IV olanzapine or IV haloperidol (49% vs. 42%, p = 0.31). Patients in the IV haloperidol group were more likely to receive rescue medications (28% vs 55%, p < 0.01). There was no difference in the incidence of respiratory events or hypotension between IV olanzapine and IV haloperidol. Patients in the IV olanzapine group experienced more bradycardia (11% vs. 3%, p = 0.04) and somnolence (9% vs. 1%, p = 0.02) compared to the IV haloperidol group. Patients in the IV olanzapine group had a longer median ICU length of stay (7.5 days vs. 5 days, p = 0.04). Conclusion: In this retrospective cohort study, there was no difference in the effectiveness of IV olanzapine compared to IV haloperidol for the management of agitation. IV olanzapine was associated with an increased incidence of bradycardia and somnolence.


2021 ◽  
Author(s):  
Capt Yonatan P Dollin ◽  
Capt Brian P Elliott ◽  
Ronald Markert ◽  
Maj Matthew T Koroscil

ABSTRACT Introduction The coronavirus-19 (COVID-19) pandemic has forced radical changes in management of healthcare in military treatment facilities (MTFs). Military treatment facilities serve unique patients that have a service connection; thus, research and data on this population are relatively sparse. The purpose of this study was to provide descriptive data on characteristics and outcomes of MTF patients with COVID-19 who are treated with heated high-flow nasal cannula (HHFNC). Materials and Methods We performed a single-center retrospective cohort study at the Wright-Patterson Medical Center, a 52-bed hospital in an urban setting. We received approval from our Institutional Review Board. The cohort included patients admitted from June 1, 2020, through May 15, 2021 with severe or life-threatening COVID-19 from a positive severe acute respiratory syndrome–related coronavirus 2 reverse transcription polymerase chain reaction test who were placed on HHFNC during their hospital stay. Severe disease was defined as dyspnea, respiratory rate ≥30/min, blood oxygen saturation ≤93% without supplemental oxygen, partial pressure of arterial oxygen to fraction of inspired oxygen ratio &lt;300, or lung infiltrates involving &gt;50% of lung fields within 24-48 hours. Life-threatening disease was defined as having septic shock or multiple organ dysfunction or requiring intubation. Patients meeting these criteria were retrieved from a quality improvement cohort that represents a consecutive group of patients with COVID-19 admitted to the Wright-Patterson Medical Center. Results Our MTF managed 70 cases of severe or life-threatening COVID-19 from June 1, 2020, to May 15, 2021. Of the 70 cases, 19 (27%) were placed on HHFNC. After initiation of HHFNC, median SpO2/FiO2 was 281.8 and at 24 hours 145.4. Median respiratory rate oxygenation at these times were 10.7 and 9.4, respectively. Fifty percent required mechanical ventilation during hospitalization. Median intensive care unit length of stay was 11 days, with a maximum stay of 39 days. Median hospital length of stay was 12 days, with a maximum of 39 days. Conclusion Our retrospective cohort study characterized and analyzed outcomes observed in a MTF population, with severe or life-threatening COVID-19, who were treated with HHFNC. While the study did not have the power to make concrete conclusions on the optimal form of respiratory support for COVID-19 patients, our data support HHFNC as a reasonable treatment modality despite some notable differences between our cohort and prior studied patient populations.


Author(s):  
Kexin Huang ◽  
Tamryn F Gray ◽  
Santiago Romero-Brufau ◽  
James A Tulsky ◽  
Charlotta Lindvall

Abstract Objective Electronic health record documentation by intensive care unit (ICU) clinicians may predict patient outcomes. However, it is unclear whether physician and nursing notes differ in their ability to predict short-term ICU prognosis. We aimed to investigate and compare the ability of physician and nursing notes, written in the first 48 hours of admission, to predict ICU length of stay and mortality using 3 analytical methods. Materials and Methods This was a retrospective cohort study with split sampling for model training and testing. We included patients ≥18 years of age admitted to the ICU at Beth Israel Deaconess Medical Center in Boston, Massachusetts, from 2008 to 2012. Physician or nursing notes generated within the first 48 hours of admission were used with standard machine learning methods to predict outcomes. Results For the primary outcome of composite score of ICU length of stay ≥7 days or in-hospital mortality, the gradient boosting model had better performance than the logistic regression and random forest models. Nursing and physician notes achieved area under the curves (AUCs) of 0.826 and 0.796, respectively, with even better predictive power when combined (AUC, 0.839). Discussion Models using only nursing notes more accurately predicted short-term prognosis than did models using only physician notes, but in combination, the models achieved the greatest accuracy in prediction. Conclusions Our findings demonstrate that statistical models derived from text analysis in the first 48 hours of ICU admission can predict patient outcomes. Physicians’ and nurses’ notes are both uniquely important in mortality prediction and combining these notes can produce a better predictive model.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Luo ◽  
J M Du-Fay-De-Lavallaz ◽  
J M D Gomez ◽  
S Fugar ◽  
L Golemi ◽  
...  

Abstract Background/Introduction Patients with COVID-19 are at increased risk for mortality during hospitalization. Better definition of the incidence, predictors, and outcomes of cardiac arrest during hospitalization for COVID-19 may support early identification and intervention. Purpose To estimate the incidence of in-hospital cardiac arrest in patients with COVID-19, describe the temporal trends in incidence of and survival after cardiac arrest, summarise characteristics of those who experienced a cardiac arrest, and compare the characteristics of survivors versus non-survivors of cardiac arrest. Methods We conducted a retrospective cohort study of patients admitted for COVID-19 to a tertiary medical center comprising three hospitals between March and November 2020. Data entry is ongoing for more than 2000 patients admitted through 2021. Clinical variables extracted via review of electronic medical records included age, sex, race/ethnicity, body mass index, history of cardiovascular disease (ie., coronary artery disease, congestive heart failure, atrial fibrillation, or cerebrovascular event), other comorbidities included in the Charlson comorbidity index, date of admission, duration of hospitalization, all cardiac arrest events during hospitalization, presenting rhythm during first cardiac arrest, and death. Data were described using summary statistics. Multivariable logistic regression was used to evaluate associations. Results Among 1666 patients, 107 (6.4%) experienced at least one in-hospital cardiac arrest event during hospitalization for COVID-19, of which 25 (23%) survived to hospital discharge. From March to October 2020, there was a decrease in estimated cardiac arrest incidence in-hospital from 8.2% to 3%, whereas estimated survival to hospital discharge after an arrest remained similar at approximately 20% (Figure). Compared to those who did not, patients who experienced in-hospital cardiac arrest were older and more likely to have existing cardiovascular disease, as well as other comorbidities. Similar factors were associated with lower chance of survival after cardiac arrest (Table). Patients with pulseless ventricular tachycardia/fibrillation (VT/VF) as presenting rhythm in cardiac arrest had better survival to hospital discharge compared to those with other rhythms (OR 3.3, p=0.02). Younger age (per 10 years, OR=0.7, p=0.03) and fewer comorbidities (per one fewer comorbidity, OR=1.5, p=0.05) were associated with better survival after cardiac arrest in multivariable logistic regression. Conclusion There was a decline in estimated incidence of cardiac arrest during hospitalization for COVID-19 since beginning of pandemic, with survival to hospital discharge after cardiac arrest estimated to be stable at around 20%. Younger age and fewer comorbidities especially cardiovascular disease were associated with better survival after an in-hospital cardiac arrest. FUNDunding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Rush University Medical Center Figure 1 Table 1


2020 ◽  
Vol 32 (6) ◽  
pp. 1034-1039
Author(s):  
Gerard M O'Reilly ◽  
Rob D Mitchell ◽  
Biswadev Mitra ◽  
Michael P Noonan ◽  
Ryan Hiller ◽  
...  

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