International perspectives on emergency department crowding

Age in addition to RETTS triage priority substantially improves 3-day mortality prediction in emergency department patients: a multi-center cohort study

BACKGROUND

Previous studies have shown varying results on the validity of the rapid emergency triage and treatment system (RETTS), but have concluded that patient age is not adequately considered as a risk factor for short term mortality. Little is known about the RETTS system's performance between different chief complaints and on short term mortality. We therefore aimed to evaluate how well a model including both RETTS triage priority and patient age (TP and age model) predicts 3-day mortality compared to a univariate RETTS triage priority model (TP model). Secondarily, we aimed to evaluate the TP model compared to a univariate age model (age model) and whether these three models' predictive performance regarding 3-day mortality varies between patients with different chief complaints in an unsorted emergency department patient population.

METHODS

This study was a prospective historic observational cohort study, using logistic regression on a cohort of patients seeking emergency department care in Stockholm during 2012-2016. Patient visits were stratified into the 10 chief complaint categories (CCC) with the highest number of deceased patients within 3 days of arrival, and to "other chief complaints". Patients with priority 1 were excluded.

RESULTS

The studied cohort contained 1,690,981 visits by 788,046 different individuals. The TP and age model predicted 3-day mortality significantly and substantially better than both univariate models in the total population and in each studied CCC. The age model predicted 3-day mortality significantly and substantially better than the TP model in the total population and for all but three CCCs and was not inferior in any CCC. There were substantial differences between the studied CCCs in the predictive ability of each of the three models.

CONCLUSIONS

Adding patient age to the RETTS triage priority system significantly and substantially improves 3-day mortality prediction compared to RETTS priority alone. Age alone is a non-inferior predictor of 3-day mortality compared to RETTS priority. The impact on 3-day mortality prediction of adding patient age to RETTS priority varies between CCCs but is substantial for all CCCs and for the total population. Including age as a variable in future revisions of RETTS could substantially improve patient safety.

Who, When, Why?-Traumatological Patients in the Emergency Department of a Maximum Care Provider

Nationwide, there is an annual increase in the number of patients in German emergency departments resulting in a growing workload for the entire emergency department staff. Several studies have investigated the situation in emergency departments, most of which were interdisciplinary, but there are no data on a solely traumatological patient population. The present study therefore aims to investigate the situation in a university-based trauma surgery emergency department. A total of 8582 traumatological patients attending a university hospital from 1 January 2019 to 31 December 2019 were studied. Various variables, such as reason for presentation, time of accident, diagnosis, and diagnostic as well as therapeutic measures performed were analyzed from the admission records created. The mean age was 36.2 years, 60.1% were male, 63.3% presented on their own to the emergency department, and 41.2% presented during regular working hours between 8:00 a.m. and 6:00 p.m., Monday through Friday. The most common reason for presentation was outdoor falls at 17.4%, and 63.3% presented to the emergency department within the first 12 h after the sustained trauma. The most common diagnosis was bruise (27.6%), and 14.2% of patients were admitted as inpatients. Many of the emergency room patients suffered no relevant trauma sequelae. In order to reduce the number of patients in emergency rooms in the future, existing institutions in the outpatient emergency sector must be further expanded and effectively advertised to the public. In this way, the emergency medical resources of clinics, including staff, can be relieved to provide the best possible care for actual emergency patients.

Strategies to mitigate emergency department crowding and its impact on cardiovascular patients

Emergency department (ED) crowding is a worsening global problem caused by hospital capacity and other health system challenges. While patients across a broad spectrum of illnesses may be affected by crowding in the ED, patients with cardiovascular emergencies-such as acute coronary syndrome, malignant arrhythmias, pulmonary embolism, acute aortic syndrome, and cardiac tamponade-are particularly vulnerable. Because of crowding, patients with dangerous and time-sensitive conditions may either avoid the ED due to anticipation of extended waits, leave before their treatment is completed, or experience delays in receiving care. In this educational paper, we present the underlying causes of crowding and its impact on common cardiovascular emergencies using the input-throughput-output process framework for patient flow. In addition, we review current solutions and potential innovations to mitigate the negative effect of ED crowding on patient outcomes.

Bidirectional referral system between National Taiwan University Hospital medical center and Zhongxiao Branch community hospital of Taipei City Hospital: focus on patient satisfaction

The policy of bidirectional referral between National Taiwan University Hospital and Taipei City Hospital has been launched due to the over-crowding of the emergency department at National Taiwan University Hospital. This research aims to evaluate patient satisfaction with the bidirectional referral. Sixty-six patients have been referred from the emergency department of National Taiwan University Hospital to Taipei City Hospital, Zhongxiao campus from April 2015 to December 2017. The selection criteria of the subjects for bidirectional referral include the management of patients classified as triage classification 2 or 3. Exclusion criteria are as follows: incomplete patient records and patients who chose hospice care. Sixty-six patients completed the questionnaires. Multivariate regression was used to evaluate the determinants of overall satisfaction scores of the bidirectional referral. The two overall satisfaction scores of patients were high (> 7). Three independent variables, (1) overall satisfaction scores of medical care at Taipei City Hospital, Zhongxiao campus, (2) waiting times for examination, treatment, and test, and (3) a positive question regarding quality improvement of delivered care for patients and family explained 69.3% adjusted variability of the overall satisfaction scores of bidirectional referrals. Therefore, the policy of bidirectional referrals and direct admission into the wards of Taipei City Hospital, Zhongxiao campus, from the emergency department of National Taiwan University Hospital met the criteria for patient satisfaction and public accountability.

Practice of Pre-Hospital Emergency Care and Associated Factors in Addis Ababa, Ethiopia: Facility-Based Cross-Sectional Study Design

Background

Medical emergencies require quick field interventions and stabilization before transport, while rapid transportation to definitive healthcare with fewer field interventions improves trauma outcomes. Poor prehospital healthcare practices negatively impact patients' health, and limited studies exist on providers' practices in resource-limited areas like Ethiopia. This study aimed to assess the practice of pre-hospital emergency care and associated factors at pre-hospital health facilities in Addis Ababa, Ethiopia.

Methods

A facility-based cross-sectional study was conducted 191 pre-hospital healthcare providers, of which 20 randomly selected participants were participated in the observational study from October 2021 to February 2022 in Addis Ababa Ethiopia. Data was collected using a checklist and self-administered questionnaire. Data was cleaned, entered into Epi data version 4.4, and exported to SPSS software for analysis. Binary and multivariable logistic regression analyses were performed, with a P-value of 0.05 considered statistically significant.

Results

The study found that 43% (82) of pre-hospital healthcare providers in Addis Ababa, Ethiopia, had good practice in pre-hospital emergency care. The identified factors that increased the odds of good practice in pre-hospital emergency care were: being able to provide advanced life support (AOR = 88.99; 95% CI: 27.143-291.603); adequate monitoring and defibrillators (AOR = 5.829; 95% CI: 1.430-23.765); having work experience of 4-5 years (AOR = 5.86; 95% CI: 1.424-24.109); and having the opportunity to continue education (AOR = 31.953; 95% 6.479-157.591).

Conclusions and Recommendations

The study found high levels of poor practice among pre-hospital healthcare providers in Addis Ababa, Ethiopia. Factors contributing to good practice include being trained in advanced Life Support, adequate monitoring, defibrillators, work experience, and having the opportunity to continue education. Therefore, policymakers and health planners should establish teaching and training centres based on Ministry of Health and Education guidelines.

Existing Data Sources in Clinical Epidemiology: Database of Community Acquired Infections Requiring Hospital Referral in Eastern Denmark (DCAIED) 2018-2021

Infectious diseases are major health care challenges globally and a prevalent cause of admission to emergency departments. Epidemiologic characteristics and outcomes based on population level data are limited. The Database of Community Acquired Infections in Eastern Denmark (DCAIED) 2018-2021 was established with the aim to explore and estimate the population characteristics, and outcomes of patients suffering from community acquired infections at the emergency departments in the Capital Region and the Zealand Region of Denmark using data from electronic medical records. Adult patients (≥18 years) presenting to the emergency department with suspected or confirmed infection are included in the cohort. Presence of sepsis and organ failure are assessed using modified criteria from the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). During the inclusion period from January 2018 to January 2022, 2,241,652 adult emergency department visits have been registered. Of these, 451,825 were unique encounters of which 60,316 fulfilled criteria of suspected infection and 28,472 fulfilled sepsis criteria and 8,027 were defined as septic shock. The database covers the entire Capital and Zealand Region of Denmark with an uptake area of 2.6 million inhabitants and includes demographic, laboratory and outcome indicators, with complete follow-up. The database is well-suited for epidemiological research for future national and international collaborations.

Predictive indicators for determining red blood cell transfusion strategies in the emergency department

BACKGROUND AND IMPORTANCE

Appropriate decision-making is critical for transfusions to prevent unnecessary adverse outcomes; however, transfusion in the emergency department (ED) can only be decided based on sparse evidence in a limited time window.

OBJECTIVES

This study aimed to identify factors associated with appropriate red blood cell (RBC) transfusion in the ED by analyzing retrospective data of patients who received transfusions at a single center.

OUTCOME MEASURES AND ANALYSIS

This study analyzed associations between transfusion appropriateness and sex, age, initial vital signs, an ED triage score [the Korean Triage and Acuity Scale (KTAS)], the length of stay, and the hemoglobin (Hb) concentration.

MAIN RESULTS

Of 10 490 transfusions, 10 109 were deemed appropriate, and 381 were considered inappropriate. A younger age ( P  < 0.001) and a KTAS level of 3-5 ( P  = 0.028) were associated with inappropriate transfusions, after adjusting for O 2 saturation and the Hb level.

CONCLUSIONS

In this single-center retrospective study, younger age and higher ED triage scores were associated with the appropriateness of RBC transfusions.

Emergency department crowding and mortality: an observational multicenter study in Sweden

Background

Emergency department (ED) crowding is a serious problem worldwide causing decreased quality of care. It is reasonable to assume that the negative effects of crowding are at least partially due to high staff workload, but previous crowding metrics based on high workload have not been generalisable to Swedish EDs and have not been associated with increased mortality, in contrast to, e.g., occupancy rate. We recently derived and validated the modified Skåne Emergency Department Assessment of Patient Load model (mSEAL) that measures crowding based on staff workload in Swedish EDs, but its ability to identify situations with increased mortality is unclear. In this study, we aimed to investigate the association between ED crowding measured by mSEAL model, or occupancy rate, and mortality.

Methods

All ED patients from 2017-01-01 to 2017-06-30 from two regional healthcare systems (Skåne and Östergötland Counties with a combined population of approximately 1.8 million) in Sweden were included. Exposure was ED- and hour-adjusted mSEAL or occupancy rate. Primary outcome was mortality within 7 days of ED arrival, with one-day and 30-day mortality as secondary outcomes. We used Cox regression hazard ratio (HR) adjusted for age, sex, arrival by ambulance, hospital admission and chief complaint.

Results

We included a total of 122,893 patients with 168,900 visits to the six participating EDs. Arriving at an hour with a mSEAL score above the 95th percentile for that ED and hour of day was associated with an non-significant HR for death at 7 days of 1.04 (95% CI 0.96-1.13). For one- and 30-day mortality the HR was non-significant at 1.03 (95% CI 0.9-1.18) and 1.03 (95% CI 0.97-1.09). Similarly, occupancy rate above the 95th percentile with a HR of 1.04 (95% CI 0.9-1.19), 1.03 (95%CI 0.95-1.13) and 1.04 (95% CI 0.98-1.11) for one-, 7- and 30-day mortality, respectively.

Conclusion

In this multicenter study in Sweden, ED crowding measured by mSEAL or occupancy rate was not associated with a significant increase in short-term mortality.

Synergism of an Urgent Care Walk-in Clinic With an Emergency Department

BACKGROUND

The overutilization of hospital emergency departments by low-urgency patients is seen as a growing problem in health-care delivery, and a variety of solutions are under discussion. We studied the change in utilization of a hospital emergency department (ED) by low-urgency patients after an urgent care walk-in clinic (WIC) was opened in the immediate vicinity.

METHODS

A prospective, single-center pre-post comparative study was carried out at the University Medical Center Hamburg-Eppendorf (UKE). The ED patient collective consisted of adult walk-in patients who presented to the ED between 4 pm and midnight. The "pre" period consisted of August and September 2019, and the "post" period was from November 2019 (after the opening of the WIC) to January 2020.

RESULTS

The study patients consisted of 4765 ED walk-in patients and 1201 WIC patients. 956 (80.5%) of the WIC patients had been referred onward to the WIC after initially presenting to the ED; from this group, 790 patients (82.6%) received definitive care in the WIC. The number of outpatients treated in the ED fell by 37.3% (95% confidence interval [30.9; 43.8]), from 851.5 to 536.7 per month. The most marked decreases were in the areas of dermatology (from 62.5 to 14.3 patients per month), neurology (45.5 to 25), ophthalmology (115 to 64.7), and trauma surgery (211 to 128.7). No decrease was seen in urology, psychiatry, or gynecology. For patients presenting without any referral document, the mean length of stay fell by a mean of 17.6 [7.4; 27.8] minutes from its "pre" value of 172.3 minutes. The rate of patients who left during treatment fell from 76.5 to 28.3 patients per month (p < 0.001).

CONCLUSION

A GP-led urgent care walk-in clinic next door to an interdisciplinary hospital emergency department is a resource-saving treatment option for walk-in patients who present to the emergency department. Most of the patients referred from the ED to the WIC were able to receive definitive care there.

The impact of alternate level of care on access block and operational strategies to reduce emergency wait times: a multi-center simulation study

OBJECTIVES

Lengthy emergency department (ED) wait times caused by hospital access block is a growing concern for the Canadian health care system. Our objective was to quantify the impact of alternate-level-of-care on hospital access block and evaluate the likely effects of multiple interventions on ED wait times.

METHODS

Discrete-event simulation models were developed to simulate patient flows in EDs and acute care of six Canadian hospitals. The model was populated with administrative data from multiple sources (April 2017-March 2018). We simulated and assessed six different intervention scenarios' impact on three outcome measures: (1) time waiting for physician initial assessment, (2) time waiting for inpatient bed, and (3) patients who leave without being seen. We compared each scenario's outcome measures to the baseline scenario for each ED.

RESULTS

Eliminating 30% of medical inpatients' alternate-level-of-care days reduced the mean time waiting for inpatient bed by 0.25 to 4.22 h. Increasing ED physician coverage reduced the mean time waiting for physician initial assessment (∆ 0.16-0.46 h). High-quality care transitions targeting medical patients lowered the mean time waiting for inpatient bed for all EDs (∆ 0.34-6.85 h). Reducing ED visits for family practice sensitive conditions or improving continuity of care resulted in clinically negligible reductions in wait times and patients who leave without being seen rates.

CONCLUSIONS

A moderate reduction in alternate-level-of-care hospital days for medical patients could alleviate access block and reduce ED wait times, although the magnitude of reduction varies by site. Increasing ED physician staffing and aligning physician capacity with inflow demand could also decrease wait time. Operational strategies for reducing ED wait times should prioritize resolving output and throughput factors rather than input factors.

Qualitative study on the use of emergency services by people with serious mental disorder in Spain

BACKGROUND

The population with severe mental disorders (SMD) is a frequent user of emergency services. Situations of psychiatric decompensation can have devastating consequence and can cause problems in getting urgent medical care. The objective was to study the experiences and needs of these patients and their caregivers regarding the demand for emergency care in Spain.

METHODS

Qualitative methodology involving patients with SMD and their informal caregivers. Purposive sampling by key informants in urban and rural areas. Paired interviews were carried out until data saturation. A discourse analysis was conducted, obtaining a codification in categories by means of triangulation.

RESULTS

Forty-two participants in twenty-one paired interviews (19 ± 7.2 min as mean duration). Three categories were identified. 1º Reasons for urgent care: poor self-care and lack of social support, as well as difficulties in accessibility and continuity of care in other healthcare settings. 2º Urgent care provision: trust in the healthcare professional and the information patients receive from the healthcare system is crucial, telephone assistance can be a very useful resource. 3º Satisfaction with the urgent care received: they request priority care without delays and in areas separated from the other patients, as well as the genuine interest of the professional who attends them.

CONCLUSIONS

The request for urgent care in patients with SMD depends on different psychosocial determinants and not only on the severity of the symptoms. There is a demand for care that is differentiated from the other patients in the emergency department. The increase in social networks and alternative systems of care would avoid overuse of the emergency departments.

Are Short-Stay Units Safe and Effective in the Treatment of Non-Variceal Upper Gastrointestinal Bleeding?

Introduction: Emergency Department (ED) overcrowding is a health, political, and economic problem of concern worldwide. The causes of overcrowding are an aging population, an increase in chronic diseases, a lack of access to primary care, and a lack of resources in communities. Overcrowding has been associated with an increased risk of mortality. The establishment of a Short Stay Unit (SSU) for conditions that cannot be treated at home but require treatment and hospitalization for up to 72 h may be a solution. SSU can significantly reduce hospital length of stay (LOS) for certain conditions but does not appear to be useful for other diseases. Currently, there are no studies addressing the efficacy of SSU in the treatment of non-variceal upper gastrointestinal bleeding (NVUGIB). Our study aims to evaluate the efficacy of SSU in reducing the need for hospitalization, LOS, hospital readmission, and mortality in patients with NVUGIB compared with admission to the regular ward. Materials and Methods: This was a retrospective, single-center observational study. Medical records of patients presenting with NVUGIB to ED between 1 April 2021, and 30 September 2022, were analyzed. We included patients aged >18 years who presented to ED with acute upper gastrointestinal tract blood loss. The test population was divided into two groups: Patients admitted to a normal inpatient ward (control) and patients treated at SSU (intervention). Clinical and medical history data were collected for both groups. The hospital LOS was the primary outcome. Secondary outcomes were time to endoscopy, number of blood units transfused, readmission to the hospital at 30 days, and in-hospital mortality. Results: The analysis included 120 patients with a mean age of 70 years, 54% of whom were men. Sixty patients were admitted to SSU. Patients admitted to the medical ward had a higher mean age. The Glasgow-Blatchford score, used to assess bleeding risk, mortality, and hospital readmission were similar in the study groups. Multivariate analysis after adjustment for confounders found that the only factor independently associated with shorter LOS was admission to SSU (p < 0.0001). Admission to SSU was also independently and significantly associated with a shorter time to endoscopy (p < 0.001). The only other factor associated with a shorter time to EGDS was creatinine level (p = 0.05), while home treatment with PPI was associated with a longer time to endoscopy. LOS, time to endoscopy, number of patients requiring transfusion, and number of units of blood transfused were significantly lower in patients admitted to SSU than in the control group. Conclusions: The results of the study show that treatment of NVUGIB in SSU can significantly reduce the time required for endoscopy, the hospital LOS, and the number of transfused blood units without increasing mortality and hospital readmission. Treatment of NVUGIB at SSU may therefore help to reduce ED overcrowding but multicenter randomized controlled trials are needed to confirm these data.

Emergency department crowding negatively influences outcomes for adults presenting for chronic obstructive pulmonary disease

OBJECTIVES

Emergency department (ED) crowding leads to poor outcomes. Patients with respiratory conditions like chronic obstructive pulmonary disease (COPD) are especially vulnerable to crowding-related delays in care. We aimed to assess the associations of ED crowding metrics with outcomes for patients presenting with COPD.

METHODS

We conducted a population-based cohort study of adult patients presenting with a diagnosis of COPD to 18 high-volume EDs between 2014 and 2019 in Alberta, Canada. Administrative databases provided date and time data on key stages of the presentation including physician initial assessment and disposition decision. Crowding metrics were calculated using facility-specific median physician initial assessment and length of stay. Patient presentations were grouped by acuity and mixed-effects regression models were fit to adjust for the clustering at the facility level.

RESULTS

There were 49,085 presentations for COPD made by 25,734 patients (median age = 73 years). A 1-h increase in the physician initial assessment metric was associated with an increase in physician initial assessment for COPD patients by 23, 53, and 59 min for the high, moderate, and low acuity groups, respectively, adjusted for other predictors. For the low acuity group, this metric was associated with an increased length of stay of 73 min for admitted individuals. Similarly, an increase in the length of stay metric was also associated with an increased likelihood of being admitted for all acuity groups.

CONCLUSIONS

For patients with COPD, ED crowding results in delays in assessment increased length of stay, and increased proportion of patients admitted. These results suggest that ED crowding mitigation efforts to provide timely care for patients with COPD are urgently needed.

TRIAL REGISTRATION

N/A.

Exploring the views of low-acuity emergency department consulters on an educational intervention and general practitioner appointment service: a qualitative study in Berlin, Germany

OBJECTIVES

Low-acuity patients presenting to emergency departments (EDs) frequently have unmet ambulatory care needs. This qualitative study explores the patients' views of an intervention aimed at education about care options and promoting primary care (PC) attachment.

DESIGN

Qualitative telephone interviews were conducted with a subsample of participants of an interventional pilot study, based on a semi-structured interview guide. The data were analysed through qualitative content analysis.

SETTING

The study was carried out in three EDs in the city centre of Berlin, Germany.

PARTICIPANTS

Thirty-two low-acuity ED consulters with no connection to a general practitioner (GP) who had participated in the pilot study were interviewed; (f/m: 15/17; mean age: 32.9 years).

INTERVENTION

In the pilot intervention, ED patients with low-acuity complaints were provided with an information leaflet on appropriate ED usage and alternative care paths and they were offered an optional GP appointment scheduling service. Qualitative interviews explored the views of a subsample of the participants on the intervention.

RESULTS

Interviewees perceived both parts of the intervention as valuable. Receiving a leaflet about appropriate ED use and alternatives to the ED was viewed as helpful, with participants expressing the desire for additional online information and a wider distribution of the content. The GP appointment service was positively assessed by the participants who had made use of this offer and seen as potentially helpful in establishing a long-term connection to GP care. The majority of patients declining a scheduled GP appointment expected no personal need for further medical care in the near future or preferred to choose a GP independently.

CONCLUSIONS

Low-acuity ED patients seem receptive to information on alternative acute care options and prevailingly appreciate measures to encourage and facilitate attachment to a GP. Promoting PC integration could contribute to a change in future usage behaviour.

TRIAL REGISTRATION NUMBER

DRKS00023480.

Appropriateness of frequent use of emergency departments: A retrospective analysis in Rome, Italy

Background

Frequent users (FUs) are patients who repeatedly and inappropriately visit the emergency department (ED) for low-grade symptoms that could be treated outside the hospital setting. This study aimed to investigate the phenomenon of the FU in Rome by profiling such users and analyzing ED attendance by FUs.

Methods

The analysis was carried out for attendance in 2021 at 15 EDs in the Local Health Authority Roma 1 geographical area. A digital app collected data, including information on the following variables: number of attendance, demographic characteristics, emergency medical service (EMS) usage, triage code, and appropriateness of attendance. COVID-19 diagnosis was also studied to analyze any possible influence on ED attendance. Differences between FUs and non-FUs were investigated statistically by t-test and chi-square test. Univariate analysis and multivariable logistic regression were performed to analyze the associated factors.

Results

A total of 122,762 ED attendance and 89,036 users were registered. The FU category represented 2.9% of all users, comprising 11.9% of total ED attendance. There was a three times higher frequency of non-urgent codes in attendance of FU patients (FU: 9.7%; non-FU: 3.2%). FUs were slightly more likely to have used the EMS (13.6% vs. 11.4%) and had a lower frequency of appropriate ED attendance (23.8% vs. 27.0%). Multivariate logistic analysis confirmed a significant effect of triage code, gender, age, EMS usage, and COVID-19 diagnosis for the appropriateness of attendance. The results were statistically significant (p &lt; 0.001).

Conclusion

The FU profile describes mostly non-urgent and inappropriate attendance at the ED, including during the COVID-19 pandemic. This study represents an important tool for strengthening preventive policies outside the hospital setting. The Italian National Recovery and Resilience Plan represents an excellent opportunity for the development of new strategies to mitigate the phenomenon of FUs.

The Causal Effect of Community Hospitals on General Hospital Admissions. Evaluation of a Natural Experiment Using Register Data

Background

To reduce overall healthcare costs, several countries have attempted to shift services from specialist to primary care. This was also the main strategy of the Coordination Reform introduced in Norway in 2012. An important part of the reform was the introduction of Municipal Acute Wards (MAWs), a type of community hospital aimed at reducing admissions to general hospitals. The main objective of this paper is to investigate whether the implementation of MAWs had a causal effect on hospital admissions.

Methods

Monthly admission rates in total and by age groups for patients admitted with acute or elective conditions at internal medicine or surgical departments were analyzed using panel data regression techniques. We identified causal effects by exploiting the sequential roll out of the MAWs within fixed effect analyses. Our data covered all municipalities from start of 2010 until the end of 2017.

Results

The sequential implementation of the MAWs started during the summer of 2012. By the beginning of 2016 close to all municipalities had an operative MAW. The introduction of MAWs significantly reduced acute hospital admissions. The effect was strongest for patients ≥80 years admitted acutely to internal medicine departments. The effects were even stronger if the MAW had a physician on site 24/7 or was located close to a local emergency center.

Conclusion

Our findings suggest that this type of intermediate care unit is a viable option to alleviate the burden on hospitals by reducing acute secondary care admission volumes.

CEU 2023 Florence: an appointment with the future of the emergency system

The Academy of Emergency Medicine and Care is one of the more than 20 scientific societies promoting the 3rd National Congress of Emergency/Urgency (CEU2023), planned in Florence from March 30th to April 1st.1 This will be a fundamental appointment for update on all clinical and organizing aspects of the Italian emergency system. More that 2500 people will participated to the CEU2023 meeting and courses with the possibility to attend more than 50 sessions with approximately 500 national and international speakers. This organization will ensure elevate quality of updating for specific themes by covering the point of view of hospital and pre-hospital medical doctors and nurses, emergency medicine trainees, but other professionals (drivers, rescuers, technicians, and volunteers). [...]

A Disease-Prediction Protocol Integrating Triage Priority and BERT-Based Transfer Learning for Intelligent Triage

Large hospitals can be complex, with numerous discipline and subspecialty settings. Patients may have limited medical knowledge, making it difficult for them to determine which department to visit. As a result, visits to the wrong departments and unnecessary appointments are common. To address this issue, modern hospitals require a remote system capable of performing intelligent triage, enabling patients to perform self-service triage. To address the challenges outlined above, this study presents an intelligent triage system based on transfer learning, capable of processing multilabel neurological medical texts. The system predicts a diagnosis and corresponding department based on the patient’s input. It utilizes the triage priority (TP) method to label diagnostic combinations found in medical records, converting a multilabel problem into a single-label one. The system considers disease severity and reduces the “class overlapping” of the dataset. The BERT model classifies the chief complaint text, predicting a primary diagnosis corresponding to the complaint. To address data imbalance, a composite loss function based on cost-sensitive learning is added to the BERT architecture. The study results indicate that the TP method achieves a classification accuracy of 87.47% on medical record text, outperforming other problem transformation methods. By incorporating the composite loss function, the system’s accuracy rate improves to 88.38% surpassing other loss functions. Compared to traditional methods, this system does not introduce significant complexity, yet substantially improves triage accuracy, reduces patient input confusion, and enhances hospital triage capabilities, ultimately improving the patient’s medical experience. The findings could provide a reference for intelligent triage development.

To Admit or Not to Admit to the Emergency Department: The Disposition Question at a Tertiary Teaching and Referral Hospital

BACKGROUND

Disposition decision-making in the emergency department (ED) is crucial to patient safety and quality of care. It can inform better care, lower chance of infections, appropriate follow-up care, and reduced healthcare costs. The aim of this study was to examine correlates of ED disposition among adult patients at a teaching and referral hospital based on patients' demographic, socioeconomic, and clinical characteristics.

METHOD

A cross-sectional study conducted at the ED of the King Abdulaziz Medical City hospital in Riyadh. A two-level validated questionnaire was used-a patient questionnaire and healthcare staff/facility survey. The survey employed a systematic random sampling technique to recruit subjects at a pre-specified interval as patients arrived at the registration desk. We analyzed 303 adult patients visiting the ED, who were triaged, consented to participate in the study, completed the survey, and admitted to a hospital bed or discharged home. We used descriptive and inferential statistics to summarize and determine the interdependence and relationships of variables. We used logistic multivariate regression analysis to establish relationships and the odds of admission to a hospital bed.

RESULTS

The mean age of the patients was 50.9 (SD = 21.4, Range 18 to 101). A total of 201 (66%) were discharged home while the rest were admitted to a hospital bed. Results of the unadjusted analysis suggest that older patients, males, patients with low level of education, and those with comorbidities and middle-income were more likely to be admitted to the hospital. The results of the multivariate analysis suggest that patients with comorbidities, urgent conditions, prior history of hospitalization, and higher triage levels were more likely to be admitted to a hospital bed.

CONCLUSIONS

Having proper triage and timely stopgap review measures in the admission process can help new patients to locations that best support their needs and improve the quality and efficiency of the facility. The findings may be a sentinel indicator that informs overuse or inappropriate use of EDs for non-emergency care, which is a concern in the Saudi Arabian publicly funded health system.

Effects of process changes on emergency department crowding in a changing world: an interrupted time-series analysis

BACKGROUND

During a 6-year period, several process changes were introduced at the emergency department (ED) to decrease crowding, such as the implementation of a general practitioner cooperative (GPC) and additional medical staff during peak hours. In this study, we assessed the effects of these process changes on three crowding measures: patients' length of stay (LOS), the modified National ED OverCrowding Score (mNEDOCS), and exit block while taking into account changing external circumstances, such as the COVID-19 pandemic and centralization of acute care.

METHODS

We determined time points of the various interventions and external circumstances and built an interrupted time-series (ITS) model per outcome measure. We analyzed changes in level and trend before and after the selected time points using ARIMA modeling, to account for autocorrelation in the outcome measures.

RESULTS

Longer patients' ED LOS was associated with more inpatient admissions and more urgent patients. The mNEDOCS decreased with the integration of the GPC and the expansion of the ED to 34 beds and increased with the closure of a neighboring ED and ICU. More exit blocks occurred when more patients with shortness of breath and more patients > 70 years of age presented to the ED. During the severe influenza wave of 2018-2019, patients' ED LOS and the number of exit blocks increased.

CONCLUSIONS

In the ongoing battle against ED crowding, it is pivotal to understand the effect of interventions, corrected for changing circumstances and patient and visit characteristics. In our ED, interventions which were associated with decreased crowding measures included the expansion of the ED with more beds and the integration of the GPC on the ED.

Machine Learning-Based Prediction of Hospital Admission Among Children in an Emergency Care Center

OBJECTIVES

Machine learning-based prediction of hospital admissions may have the potential to optimize patient disposition and improve clinical outcomes by minimizing both undertriage and overtriage in crowded emergency care. We developed and validated the predictive abilities of machine learning-based predictions of hospital admissions in a pediatric emergency care center.

METHODS

A prognostic study was performed using retrospectively collected data of children younger than 16 years who visited a single pediatric emergency care center in Osaka, Japan, between August 1, 2016, and October 15, 2019. Generally, the center treated walk-in children and did not treat trauma injuries. The main outcome was hospital admission as determined by the physician. The 83 potential predictors available at presentation were selected from the following categories: demographic characteristics, triage level, physiological parameters, and symptoms. To identify predictive abilities for hospital admission, maximize the area under the precision-recall curve, and address imbalanced outcome classes, we developed the following models for the preperiod training cohort (67% of the samples) and also used them in the 1-year postperiod validation cohort (33% of the samples): (1) logistic regression, (2) support vector machine, (3) random forest, and (4) extreme gradient boosting.

RESULTS

Among 88,283 children who were enrolled, the median age was 3.9 years, with 47,931 (54.3%) boys and 1985 (2.2%) requiring hospital admission. Among the models, extreme gradient boosting achieved the highest predictive abilities (eg, area under the precision-recall curve, 0.26; 95% confidence interval, 0.25-0.27; area under the receiver operating characteristic curve, 0.86; 95% confidence interval, 0.84-0.88; sensitivity, 0.77; and specificity, 0.82). With an optimal threshold, the positive and negative likelihood ratios were 4.22, and 0.28, respectively.

CONCLUSIONS

Machine learning-based prediction of hospital admissions may support physicians' decision-making for hospital admissions. However, further improvements are required before implementing these models in real clinical settings.

Operations Factors Associated with Emergency Department Length of Stay: Analysis of a National Operations Database

Introduction: Prolonged emergency department (ED) length of stay (LOS) has been shown to adversely affect patient care. We sought to determine factors associated with ED LOS via analysis of a large, national, ED operations database. Methods: We performed retrospective, multivariable, linear regression modeling using the 2019 Emergency Department Benchmarking Alliance survey results to identify associated factors of ED LOS for admitted and discharged patients. Results: A total of 1,052 general and adult-only EDs responded to the survey. Median annual volume was 40,946. The median admit and discharge LOS were 289 minutes and 147 minutes, respectively. R-squared values for the admit and discharge models were 0.63 and 0.56 with out-of-sample R-squared values of 0.54 and 0.59, respectively. Both admit and discharge LOS were associated with academic designation, trauma level designation, annual volume, proportion of ED arrivals occurring via emergency medical services, median boarding, and use of a fast track. Additionally, admit LOS was associated with transfer-out percentage, and discharge LOS was associated with percentage of high Current Procedural Terminology, percentage of patients <18 years old, use of radiographs and computed tomography, and use of an intake physician. Conclusion: Models derived from a large, nationally representative cohort identified diverse associated factors of ED length of stay, several of which were not previously reported. Dominant within the LOS modeling were patient population characteristics and other factors extrinsic to ED operations, including boarding of admitted patients, which was associated with both admitted and discharged LOS. The results of the modeling have significant implications for ED process improvement and appropriate benchmarking.

The preanalytical process in the emergency department, a European survey

OBJECTIVES

Clinical decision-making in emergency medicine is under constant pressure from demand and performance requirements, with blood tests being a fundamental part of this. However, the preanalytical process has received little attention. Therefore, this study aimed to investigate the quality of preanalytical phase processes in European emergency departments (EDs) from the perspectives of the three main providers: clinicians, nurses, and laboratory specialists.

METHODS

This online survey, distributed among European EDs and laboratories, was supported by the European Society for Emergency Nursing (EUSEN), European Society for Emergency Medicine (EuSEM), and the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). The size of the centres, the European region, the responder's profession and the country's economic condition were used as co-variables.

RESULTS

We included 376 responses from all ED-related professions from 306 European centres. In 66.9% of all ED visits, at least one blood test was performed. Tests were requested mostly by nurses (44.6%) using electronic Order/Entry systems (65.4%). Only a minority (19%) reported not using laboratory quality indicators (QIs). Most responders defined the TAT starting point "when the laboratory receives the sample" (66.1%), defining the goal to be "less than 60 min" (69.9%), but only 42.4% of the centres estimated achieving this goal.

CONCLUSIONS

Our survey illustrates the current situation on preanalytical blood sample processing in European EDs from the clinical and laboratory perspectives. The results emphasise the importance of the IT infrastructure and QI usage in this process and highlight some differences between European regions.

Patients' perspectives on care, communication, and teamwork in the emergency department

BACKGROUND

The work of healthcare professionals (HCPs) in the emergency department (ED) involves effective communication and efficient teamwork, which may be perceived differently by patients and HCPs. Therefore, it is important to explore patient perspectives of information exchange and clinical assessment.

AIM

To evaluate experiences of care, communication, and teamwork from ED patients' perspectives.

METHODS

Semi-structured interviews were conducted with 17 patients who were assessed in a Swedish ED during Spring 2021. Thematic analysis was used.

RESULTS

Participants' experiences reflected the complex environment of the ED. Findings emphasize the importance of information exchange in relation to a caring approach. Three themes emerged: the need for a caring approach by HCPs towards patients'; the need for dialogue between patient and HCPs; and the need for information on ED environment constraints.

CONCLUSIONS

Patients felt comforted when they experienced a caring empathic approach from the HCPs. For example, patients valued an individual holistic approach rather than feeling that they were being objectified by their medical conditions. This was important in coping with the anxiety caused by a stressful ED environment. There is a critical need for effective exchange of information between patients and HCPs.

Length-of-Stay in the Emergency Department and In-Hospital Mortality: A Systematic Review and Meta-Analysis

The effect of emergency department (ED) length of stay (EDLOS) on in-hospital mortality (IHM) remains unclear. The aim of this systematic review and meta-analysis was to determine the association between EDLOS and IHM. We searched the PubMed, Medline, Embase, Web of Science, Cochrane Controlled Register of Trials, CINAHL, PsycInfo, and Scopus databases from their inception until 14−15 January 2022. We included studies reporting the association between EDLOS and IHM. A total of 11,337 references were identified, and 52 studies (total of 1,718,518 ED patients) were included in the systematic review and 33 in the meta-analysis. A statistically significant association between EDLOS and IHM was observed for EDLOS over 24 h in patients admitted to an intensive care unit (ICU) (OR = 1.396, 95% confidence interval [CI]: 1.147 to 1.701; p < 0.001, I2 = 0%) and for low EDLOS in non-ICU-admitted patients (OR = 0.583, 95% CI: 0.453 to 0.745; p < 0.001, I2 = 0%). No associations were detected for the other cut-offs. Our findings suggest that there is an association between IHM low EDLOS and EDLOS exceeding 24 h and IHM. Long stays in the ED should not be allowed and special attention should be given to patients admitted after a short stay in the ED.

Reducing 48-h emergency department revisits and subsequent admissions: a retrospective study of increased emergency medicine resident floor coverage

BACKGROUND

Early unexpected hospital admission after emergency department (ED) discharge is an important topic regarding effective preventive measures. Reducing avoidable return visits can improve ED effectiveness and emergency care. This study evaluated the effects of an increase in the number of physicians and the 24-h coverage of emergency physicians on 48-h ED revisits with subsequent hospital admission. The characteristics and risk factors of the patients were also investigated.

RESULTS

This was a retrospective analysis performed 2 years before and 2 years after the implementation of an intervention in a tertiary care hospital in Thailand. The medical records of adult patients who revisited the ED within 48 h for related complaints were reviewed. The effect of the intervention was analyzed, and a prediction model was developed based on logistic regression. After implementing the intervention, the hospital admission rate at the second ED visit decreased from 44.5 to 41.1%; no significant difference was found (95% confidence interval (CI) - 5.05 to 11.78). Patients who required hospital admission had a significantly higher comorbidity score, more ED visits, and more hospitalizations within the past 12 months. A significantly higher hospital admission rate was also observed among patients older than 60 years, those who had an initial infectious diagnosis, and those who had a higher triage severity level (ESI II) at their first visit. The odds ratio (OR) showed lower odds of hospital admission at the second visit in the postintervention period; this difference was not significant (OR 0.87; 95% CI 0.61 to 1.23).

CONCLUSION

Our intervention did not significantly decrease the incidence of admission at an ED revisit. However, some factors identified in this study seem to have some benefits and might be helpful for preventing errors and constructing a standard discharge care plan for patients with these risk factors.

The Use of Generic Patient-Reported Outcome Measures in Emergency Department Surveys: Discriminant Validity Evidence for the Veterans RAND 12-Item Health Survey and the EQ-5D

OBJECTIVES

This study aimed to compare discriminant validity evidence of 2 generic patient-reported outcome measures (PROMs), the Veterans RAND 12-Item Health Survey (VR-12) and level 5 of EQ-5D (EQ-5D-5L), for use in emergency departments (EDs).

METHODS

Data were obtained via a cross-sectional survey of 5876 patients in British Columbia (Canada) who completed a questionnaire after visiting an ED in 2018. We compared the extent to which the VR-12 and the EQ-5D-5L distinguished among groups of ED patients with different levels of comorbidity burden and self-reported physical and mental or emotional health status. Multivariable logistic regression was used to evaluate the ability of the 2 PROMs to identify patients presenting with a mental health (MH) condition.

RESULTS

All the measures produced small effect sizes (ESs) for discriminating comorbidity levels (R² range: 0.00 [VR-12 mental component summary {MCS}] to 0.10 [VR-12 physical component summary score]). The EQ-5D visual analog scale offered the largest ES for discriminating self-reported physical health (R² = 0.48), whereas the MCS, the VR-12 MH domain, and the EQ-5D-5L anxiety/depression dimension had the largest ESs for discriminating self-reported mental or emotional health (R² = 0.42, 0.40, and 0.38, respectively). The MCS produced a medium ES (R² = 0.42) along with the VR-12 utility score (R² = 0.27) compared with the EQ-5D-5L index (R² = 0.19). Having a MH condition was predominantly identified by the MCS (Pratt index = 0.56).

CONCLUSIONS

The VR-12 PROM provides a more comprehensive measurement of MH than the EQ-5D-5L, which is important to inform healthcare service needs for patients who present in EDs with MH challenges.

Understanding patient preferences for emergency care for lower triage acuity presentations during GP hours: a qualitative study in Australia

BACKGROUND

Low acuity presentations to Australian emergency departments drive long wait times, higher costs and may be better treated in primary care settings. This study sought to understand factors leading these patients to present to emergency departments.

METHODS

Semi-structured interviews were carried out with patients at two tertiary emergency departments in Sydney during general practitioner opening hours. Nvivo was used to code the interviews and a thematic analysis was carried out to capture the main themes from the interviews.

RESULTS

Forty-four interviews were included in the analysis across the two sites. They represented a diverse population in terms of ethnicity, education and socioeconomic background. Patient preferences for emergency care were organised into four main themes: (i) patients were referred (either by another health service, work, friend, or family), (ii) emergency department factors (convenience of investigations and severity of symptoms requiring emergency care), (iii) GP factors (does not have a GP, cannot find an appointment with a GP or has previously had a negative experience with a GP) and (iv) personal factors such as their connection to the hospital.

CONCLUSION

Multiple factors led patients to seek ED care for low acuity presentations during GP hours. Some of these factors could be addressed to meet patient needs in the community, however this is currently not the case. Addressing these factors to improve access to GP clinics and the availability of services outside the hospital setting could reduce ED presentations and likely improve patient experience.

[The way to routine data from 16 emergency departments for cross-sectoral health services research : Experiences, challenges and solution approaches from the extraction of pseudonymous data for the INDEED project]

BACKGROUND

In Germany there is currently no health reporting on cross-sectoral care patterns in the context of an emergency department care treatment. The INDEED project (Utilization and trans-sectoral patterns of care for patients admitted to emergency departments in Germany) collects routine data from 16 emergency departments, which are later merged with outpatient billing data from 2014 to 2017 on an individual level.

AIM

The methodological challenges in planning of the internal merging of routine clinical and administrative data from emergency departments in Germany up to the final data extraction are presented together with possible solution approaches.

METHODS

Data were selected in an iterative process according to the research questions, medical relevance, and assumed data availability. After a preparatory phase to clarify formalities (including data protection, ethics), review test data and correct if necessary, the encrypted and pseudonymous data extraction was performed.

RESULTS

Data from the 16 cooperating emergency departments came mostly from the emergency department and hospital information systems. There was considerable heterogeneity in the data. Not all variables were available in every emergency department because, for example, they were not standardized and digitally available or the extraction effort was judged to be too high.

CONCLUSION

Relevant data from emergency departments are stored in different structures and in several IT systems. Thus, the creation of a harmonized data set requires considerable resources on the part of the hospital as well as the data processing unit. This needs to be generously calculated for future projects.

Covid-19 Versnelt Samenwerking In De Spoedzorg

De acute zorg is overbelast en dreigt minder toegankelijk te worden. De coronacrisis heeft scherp duidelijk gemaakt dat de kwaliteit van de acute zorg, zeker in crisistijd, alleen op peil kan blijven als de betrokken organisaties en zorgverleners beter gaan samenwerken. Wij onderzochten welke factoren die samenwerking belemmeren of juist faciliteren, en hoe dat integratieproces in de toekomst beter kan - ook buiten crisistijd.

Predictors of behavioral health unit readmission within 30 days of discharge: A retrospective study

Several studies have aimed to describe associated demographic and psychiatric risk factors that would lead to readmission to a behavioral health unit within 30 days of discharge. Here we considered 1,095 patients that were discharged from Millcreek Community Hospital (MCH) in Erie, Pennsylvania between June 2018 and June 2019. We extracted electronic medical data and analyzed various risk factors using a SPSS software and performed Chi square analysis to determine significance. We determined that patients between the age 30–39 that were diagnosed with major depressive disorder or bipolar disorder, and patients that had 12 or more previous behavioral health admissions were significantly more likely to be readmitted within 30 days of discharge. By analyzing risk factors that lead to a higher percentage of readmission rates, physicians can be more readily equipped and prepared while treating inpatient psychiatric patients. These physicians can take more precautionary measures when discharging patients with specific characteristic profiles to prevent the risk of being readmitted within 30 days of discharge.

Understanding the impacts of health information systems on patient flow management: A systematic review across several decades of research

Background

Patient flow describes the progression of patients along a pathway of care such as the journey from hospital inpatient admission to discharge. Poor patient flow has detrimental effects on health outcomes, patient satisfaction and hospital revenue. There has been an increasing adoption of health information systems (HISs) in various healthcare settings to address patient flow issues, yet there remains limited evidence of their overall impacts.

Objective

To systematically review evidence on the impacts of HISs on patient flow management including what HISs have been used, their application scope, features, and what aspects of patient flow are affected by the HIS adoption.

Methods

A systematic search for English-language, peer-review literature indexed in MEDLINE and EMBASE, CINAHL, INSPEC, and ACM Digital Library from the earliest date available to February 2022 was conducted. Two authors independently scanned the search results for eligible publications, and reporting followed the PRISMA guidelines. Eligibility criteria included studies that reported impacts of HIS on patient flow outcomes. Information on the study design, type of HIS, key features and impacts was extracted and analysed using an analytical framework which was based on domain-expert opinions and literature review.

Results

Overall, 5996 titles were identified, with 44 eligible studies, across 17 types of HIS. 22 studies (50%) focused on patient flow in the department level such as emergency department while 18 studies (41%) focused on hospital-wide level and four studies (9%) investigated network-wide HIS. Process outcomes with time-related measures such as ‘length of stay’ and ‘waiting time’ were investigated in most of the studies. In addition, HISs were found to address flow problems by identifying blockages, streamlining care processes and improving care coordination.

Conclusion

HIS affected various aspects of patient flow at different levels of care; however, how and why they delivered the impacts require further research.

A methodological framework for evaluating transitions in acute care services in the Netherlands to achieve Triple Aim

Objective

The accessibility of acute care services is currently under pressure, and one way to improve services is better integration. Adequate methodology will be required to provide for a clear and accessible evaluation of the various intervention initiatives. The aim of this paper is to develop and propose a Population Health Management(PHM) methodology framework for evaluation of transitions in acute care services.

Results

Our methodological framework is developed from several concepts found in literature, including Triple Aim, integrated care and PHM, and includes continuous monitoring of results at both project and population levels. It is based on a broad view of health rather than focusing on a specific illness and facilitates the evaluation of various intervention initiatives in acute care services in the Netherlands and distinctly explains every step of the evaluation process and can be applied to a heterogeneous group of patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-022-06187-w.

Bed-to-Bed Transfer Program Among Patients Who Need Hospitalization in a Crowded Emergency Department in Taiwan

BACKGROUND

Emergency department (ED) crowding is a universal issue. In Taiwan, patients with common medical problems prefer to visit ED of medical centers, resulting in overcrowding. Thus, a bed-to-bed transfer program has been implemented since 2014. However, there was few studies that compared clinical outcomes among patients who choose to stay in medical centers to those being transferred to regional hospitals. The aim of this study was to explore the transfer rate, delineate the factors related to patient transfer, and clarify the influence upon the program outcomes.

METHODS

A retrospective cohort study was conducted using demographic and clinical disease factors from the patient electronic referral system, electronic medical records (EMRs) of a medical center in Taipei, and response to referrals from regional hospitals. The study included adult patients who were assessed as appropriate for transfer in 2016. We analyzed the outcomes (length of stay and mortality rate) between the referrals were accepted and refused using propensity score matching.

RESULTS

Of the 1759 patients eligible for transfer to regional hospitals, 420 patients (24%) accepted the referral. Medical records were obtained from the regional hospitals for 283 patients (67%). After propensity score matching, the results showed that interhospital transfer resulted in similar median total length of stay (8.7 days in the medical center vs 7.9 days in regional hospitals; P=.245). In-hospital mortality was low for both groups (3.1% in the medical center vs 1.3% in regional hospitals; P=.344).

CONCLUSION

Transfer from an overcrowded ED in a medical center to regional hospitals in eligible patients results in non-significant outcome of total length of stay. With the caveat of an underpowered sample, we did not find statistically significant differences in in-hospital mortality. This healthcare delivery model may be used in other cities facing similar problems of ED overcrowding.

Public perceptions of urgency of severe cases of COVID-19 and inflammatory gastrointestinal disease

Background

There is evidence that perceived urgency of medical complaints is associated with emergency care utilization. Patients’ perception of urgency can differ from physicians’ assessment. This study explored public perceptions of urgency of severe cases of COVID-19 and inflammatory gastrointestinal disease and analyzed variations in perceptions of urgency by characteristics of the afflicted person in the vignettes and sociodemographic characteristics of respondents.

Methods

Vignettes with severe symptoms of either inflammatory gastrointestinal disease or COVID-19 with comparable urgency of treatment were used in a telephone survey in Germany (N = 1,207). Besides disease, the vignettes varied in terms of sex, age (child, middle-aged person, old person) and daytime (Tuesday morning, Tuesday evening). Respondents were asked to rate the urgency of the reported symptoms with four items. A sum scale was computed. Variations in perceptions of urgency according to vignette characteristics and sociodemographic characteristics of the respondents (sex, age, educational level, migration background, children (yes/no) and personal affliction) were analyzed using a linear regression model.

Results

In terms of vignette characteristics, multivariate analysis showed a lower estimated urgency for males, as well as for the middle-aged and aged persons, compared to the child vignettes, and for COVID-19, compared to inflammatory gastrointestinal disease. Regarding the characteristics of the respondents, estimated urgency increased with age and was lower among respondents, who were previously affected by the symptoms themselves.

Conclusion

Although urgency in the vignettes was comparable, variations in estimated urgency by age and sex of the afflicted person and the described disease as well as age and personal affliction of the respondents were identified. This could result in an inadequate health care service utilization. Therefore, variations in public perceptions of urgency should be considered in the planning of public campaigns on adequate health care services utilization.

Healthcare resource utilization among patients receiving non-invasive testing for coronary artery disease in an outpatient setting: A cohort study reflecting daily practice trends

BACKGROUND

Accurate, early diagnosis and the initiation of appropriate treatment is central to reducing the clinical burden of coronary artery disease (CAD); however, real-world evidence characterizing healthcare resource utilization (HCRU) associated with testing for CAD is lacking.

METHODS AND RESULTS

Using a non-interventional, retrospective, secondary database analysis, patients aged ≥18 years who underwent outpatient non-invasive cardiac diagnostic testing were identified. The primary objective was to gain an understanding of pre- and post-assessment care pathways and the associated interventions for patients who underwent non-invasive testing for CAD in either an outpatient or emergency department setting. Overall, chest pain was the primary reason for the index visit (54.8%), followed by shortness of breath (23.7%), myocardial infarction (MI), coronary artery disease (CAD) or congestive heart failure (CHF) (3.8%), and other (46.8%); 3.0% of patients had no apparent reason for testing in the last 45 days. Single-photon emission computed tomography (SPECT) was the dominant diagnostic testing modality (40.3%). During the 90-day follow-up, 7.3% (n = 22,083) of patients were diagnosed with CAD; among these patients, 19.4% had repeat diagnostic testing, 26.0% of patients had a revascularization procedure, and 65.6% underwent cardiac catheterization. These rates varied by testing modality.

CONCLUSIONS

In this study of a large real-world data sample, variability in the use of non-invasive tests and HCRU were evident. These results may assist efforts to optimize system-wide care/diagnostic pathways and value-based treatment decisions for patients.

Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage

Providing timely intervention to critically ill patients is a challenging task in emergency departments (ED). Our study aimed to predict early critical interventions (CrIs), which can be used as clinical recommendations. This retrospective observational study was conducted in the ED of a tertiary hospital located in a Korean metropolitan city. Patient who visited ED from January 1, 2016, to December 31, 2018, were included. Need of six CrIs were selected as prediction outcomes, namely, arterial line (A-line) insertion, oxygen therapy, high-flow nasal cannula (HFNC), intubation, Massive Transfusion Protocol (MTP), and inotropes and vasopressor. Extreme gradient boosting (XGBoost) prediction model was built by using only data available at the initial stage of ED. Overall, 137,883 patients were included in the study. The areas under the receiver operating characteristic curve for the prediction of A-line insertion was 0·913, oxygen therapy was 0.909, HFNC was 0.962, intubation was 0.945, MTP was 0.920, and inotropes or vasopressor administration was 0.899 in the XGBoost method. In addition, an increase in the need for CrIs was associated with worse ED outcomes. The CrIs model was integrated into the study site's electronic medical record and could be used to suggest early interventions for emergency physicians.

Soluble Urokinase Plasminogen Activator Receptor (suPAR) in the Emergency Department (Ed): A Tool for the Assessment of Elderly Patients

Emergency department (ED) overcrowding is a global issue setting challenges to all care providers. Elderly patients are frequent visitors of the ED and their risk stratification is demanding due to insufficient assessment methods. A prospective cohort study was conducted to determine the risk-predicting value of a prognostic biomarker, soluble urokinase plasminogen activator receptor (suPAR), in the ED, concentrating on elderly patients. SuPAR levels were determined as part of standard blood sampling of 1858 ED patients. The outcomes were assessed in the group of <75 years (=younger) and ≥75 years (=elderly). The elderly had higher median suPAR levels than the younger (5.4 ng/mL vs. 3.7 ng/mL, p < 0.001). Increasing suPAR levels were associated with higher probability for 30-day mortality and hospital admission in all age groups. SuPAR also predicted 30-day mortality when adjusted to other clinical factors. SuPAR acts successfully as a nonspecific risk predictor for 30-day mortality, independently and with other risk-assessment tools. Low suPAR levels predict positive outcomes and could be used in the discharging process. A cut-off value of 4 ng/mL could be used for all ED patients, 5 ng/mL being a potential alternative in elderly patients.

Psychiatric Hospitalization Associated with Emergency Department Visits

Psychiatric boarding in an emergency department (ED) has personal and social consequences that can increase healthcare expenditure through a variety of inter-related mechanisms. This study aimed to compare health outcomes (e.g., length of stays, the severity of illness) between patients who stayed in an emergency department and those who did not visit an emergency department before the hospitalization. With the National Inpatient Sample dataset in the United States, we compared psychiatric inpatient service utilization outcomes between those who had stated in an emergency department and those who had not. Results: Among those with ED visits, the in-hospital mortality was 0.80 times lower (95% CI: 0.79-0.81). The length of hospital stays and the total charges were not significantly different from those without ED visits. The integration of primary care with psychiatric inpatient services can improve the management of psychiatric prevention and treatment, with the reduction of ED visits. This study provides an essential value in reducing emergency visits as the plan for psychiatric inpatient utilization to achieve more cost-effective and adequate healthcare outcomes.

Performance of the American Heart Association/American College of Cardiology/Heart Rhythm Society versus European Society of Cardiology guideline criteria for hospital admission of patients with syncope

BACKGROUND

Current American College of Cardiology/American Heart Association/Heart Rhythm Society (ACC/AHA/HRS) and European Society of Cardiology (ESC) guidelines recommend different strategies to avoid low-yield admissions in patients with syncope.

OBJECTIVE

The purpose of this study was to directly compare the safety and efficacy of applying admission criteria of both guidelines to patients presenting with syncope to the emergency department in 2 multicenter studies.

METHODS

The international BASEL IX (BAsel Syncope EvaLuation) study (median age 71 years) and the U.S. SRS (Improving Syncope Risk Stratification in Older Adults) study (median age 72 years) were investigated. Primary endpoints were sensitivity/specificity for the adjudicated diagnosis of cardiac syncope (BASEL IX only) and 30-day major adverse cardiovascular events (30d-MACE).

RESULTS

Among 2560 patients in the BASEL IX and 2085 in SRS studies, ACC/AHA/HRS and ESC criteria recommended admission for a comparable number of patients in BASEL IX (27% vs 28%), but ACC/AHA/HRS criteria less often in SRS (19% vs 32%; P <.01). Recommendations were discordant in ∼25% of patients. In BASEL IX, sensitivity for cardiac syncope and 30d-MACE among patients without admission criteria was comparable for ACC/AHA/HRS and ESC criteria (64% vs 65%, P = .86; and 67% vs 71%, P = .15, respectively). In SRS, sensitivity for 30d-MACE was lower with ACC/AHA/HRS (54%) vs ESC criteria (88%; P <.001). Similarly, specificity for cardiac syncope and 30d-MACE in BASEL IX was comparable for both guidelines, but in SRS the ACC/AHA/HRS guidelines showed a higher specificity for 30d-MACE than the ESC guidelines.

CONCLUSION

ACC/AHA/HRS and ESC guidelines showed disagreement regarding admission for 1 in 4 patients and had only modest sensitivity, all indicating possible opportunities for improvements.

Modelling Granular Process Flow Information to Reduce Bottlenecks in the Emergency Department

Increasing demand and changing case-mix have resulted in bottlenecks and longer waiting times in emergency departments (ED). However, many process improvement efforts addressing the bottlenecks have limitations, as they lack accurate models of the real system as input accounting for operational complexities. To understand the limitation, this research modelled granular procedural information, to analyse processes in a Level-1 ED of a 1200-bed teaching hospital in the UK. Semi-structured interviews with 21 clinicians and direct observations provided the necessary information. Results identified Majors as the most crowded area, hence, a systems modelling technique, role activity diagram, was used to derive highly granular process maps illustrating care in Majors which were further validated by 6 additional clinicians. Bottlenecks observed in Majors included awaiting specialist input, tests outside the ED, awaiting transportation, bed search, and inpatient handover. Process mapping revealed opportunities for using precedence information to reduce repeat tests; informed alerting; and provisioning for operational complexity into ED processes as steps to potentially alleviate bottlenecks. Another result is that this is the first study to map care processes in Majors, the area within the ED that treats complex patients whose care journeys are susceptible to variations. Findings have implications on the development of improvement approaches for managing bottlenecks.

Analysis of Functional Layout in Emergency Departments (ED). Shedding Light on the Free Standing Emergency Department (FSED) Model

The ever-increasing number of hospital Emergency Department (ED) visits pose a challenge to the effective running of health systems in many countries globally and multiple strategies have been adopted over the years to tackle the plight. According to a systematic review of the available literature, of the numerous models of healthcare systems used to address the issue in western countries, the FSED Model has the greatest potential for reducing hospital ED overcrowding as it can reduce the additional load by diverting minor cases, freeing up space for more urgent cases. The aim of the study is to shed light on the Free Standing Emergency Department (FSED) model and compare it with the traditional Hospital Based Emergency Department (HBED) in international contexts. In this study, 23 papers have been collected in a literature review and the main features have been highlighted; 12 case studies have been analyzed from a layout point of view and data have been collected in terms of surfaces, functions, and flow patterns. The percentages of floor areas devoted to each function have been compared to define evolution strategies in the development of emergency healthcare models and analyses. The use of FSED models is an interesting way to face the overcrowding problem and a specific range for functional area layout has been identified. Further studies on its application in different contexts are encouraged.

Time-series cohort study to forecast emergency department visits in the city of Milan and predict high demand: a 2-day warning system

OBJECTIVES

The emergency department (ED) is one of the most critical areas in any hospital. Recently, many countries have seen a rise in the number of ED visits, with an increase in length of stay and a detrimental effect on quality of care. Being able to forecast future demands would be a valuable support for hospitals to prevent high demand, particularly in a system with limited resources where use of ED services for non-urgent visits is an important issue.

DESIGN

Time-series cohort study.

SETTING

We collected all ED visits between January 2014 and December 2019 in the five larger hospitals in Milan. To predict daily volumes, we used a regression model with autoregressive integrated moving average errors. Predictors included were day of the week and year-round seasonality, meteorological and environmental variables, information on influenza epidemics and festivities. Accuracy of prediction was evaluated with the mean absolute percentage error (MAPE).

PRIMARY OUTCOME MEASURES

Daily all-cause EDs visits.

RESULTS

In the study period, we observed 2 223 479 visits. ED visits were most likely to occur on weekends for children and on Mondays for adults and seniors. Results confirmed the role of meteorological and environmental variables and the presence of day of the week and year-round seasonality effects. We found high correlation between observed and predicted values with a MAPE globally smaller than 8.1%.

CONCLUSIONS

Results were used to establish an ED warning system based on past observations and indicators of high demand. This is important in any health system that regularly faces scarcity of resources, and it is crucial in a system where use of ED services for non-urgent visits is still high.

Comparing complaint-based triage scales and early warning scores for emergency department triage

Background

Emergency triage systems are used globally to prioritise care based on patients’ needs. These systems are commonly based on patient complaints, while the need for timely interventions on regular hospital wards is usually assessed with early warning scores (EWS). We aim to directly compare the ability of currently used triage scales and EWS scores to recognise patients in need of urgent care in the ED.

Methods

We performed a retrospective, single-centre study on all patients who presented to the ED of a Dutch Level 1 trauma centre, between 1 September 2018 and 24 June 2020 and for whom a Netherlands Triage System (NTS) score as well as a Modified Early Warning Score (MEWS) was recorded. The performance of these scores was assessed using surrogate markers for true urgency and presented using bar charts, cross tables and a paired area under the curve (AUC).

Results

We identified 12 317 unique patient visits where NTS and MEWS scores were documented during triage. A paired comparison of the AUC of these scores showed that the MEWS score had a significantly better AUC than the NTS for predicting the need for hospital admission (0.65 vs 0.60; p<0.001) or 30-day all-cause mortality (0.70 vs 0.60; p<0.001). Furthermore, when non-urgent MEWS scores co-occur with urgent NTS scores, the MEWS score seems to more accurately capture the urgency level that is warranted.

Conclusions

The results of this study suggest that EWSs could potentially be used to replace the current emergency triage systems.

Intended healthcare utilisation in cases of severe COVID-19 and inflammatory gastrointestinal disease: results of a population survey with vignettes

OBJECTIVES

To examine variations in intended healthcare utilisation in severe cases of COVID-19 and inflammatory gastrointestinal disease (IGD).

DESIGN

Representative cross-sectional telephone survey.

SETTING AND PARTICIPANTS

1207 randomly drawn adults of the city of Hamburg, Germany, between November 2020 and January 2021.

OUTCOME MEASURES

Different vignettes with severe symptoms were presented varying in sex, age (child, middle-aged person, older person), daytime (Tuesday morning or Tuesday evening) and disease (COVID-19 or IGD), while the degree of urgency was equivalent for all cases. The respondents were asked for the intended healthcare utilisation resulting in three different alternatives: general practitioner (GP)/paediatrician, medical on-call service ('116117') and emergency care (accident and emergency department, emergency practice, rescue service). In multivariate analyses, associations of characteristics of the vignettes and participants (sex, age, education, migration background) with intended healthcare utilisation were tested. In a further step, analyses were conducted separately for IGD and COVID-19.

RESULTS

Regarding the vignettes' characteristics, intended utilisation of GP/paediatrician is associated with female sex, higher age, daytime (morning) and COVID-19 symptoms, the medical on-call service with male sex, daytime (evening) and COVID-19 symptoms and the emergency medicine with younger age, daytime (evening) and IGD. Women chose more often the GP/paediatrician, men preferred emergency medicine. Only in case of IGD, higher educated persons more often chose the medical on-call service while people with a migration background decided less often for medical on-call service and emergency medicine.

CONCLUSIONS

Despite comparable urgency, the findings suggest variations of intended healthcare utilisation depending on various characteristics of the vignettes and respondents. Depending on the type of disease inequalities vary. Overall, information about healthcare alternatives in severe cases has to be improved and clear pathways to facilitate healthcare utilisation has to be further developed.