Submitted:
14 March 2025
Posted:
17 March 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methods

2.1. Eligibility Criteria
2.1.1. Inclusion Criteria
2.1.2. Exclusion Criteria
2.2. Search Strategy
2.3. Data Extraction and Analysis
3. Results
3.1. Search Results
| Scope | Primary registry publications 1 | Secondary publications 2 |
|---|---|---|
| General | 6 | 2 |
| Condition or population specific | 21 | 31 |
3.2. Characteristics of Primary ED Registry Publications
| Registry | Date Range | Country/ies | Number of EDs 3 | Condition or population | Funding | Associated studies 2 | |
|---|---|---|---|---|---|---|---|
| Acute Admission Database | Barford, 2012 | 22-09-2009 to 28-02-2010 | Denmark | 1 | General | Hillerød Hospital research grant. | 0 |
| American College of Emergency Physicians Clinical Emergency Data Registry (CEDR) | Venkatesh, 2021 | 2017 1, 5 | USA | 889 | General | American College of Emergency Physicians | 0 |
| Centre des Urgences de Yaoundé (CURY) 4 | Jeong, 2022 | 01-2016 to 06-2018 1 | Africa | 1 | General | Korea International Cooperation Agency | 0 |
| Danish Database for Acute and Emergency Hospital Contacts (DDAEHC) | Lassen, 2016 | Not specified 5 | Denmark | 26 | General | Danish Regions. | 0 |
| Swedish Emergency Registry (SVAR) | Ekelund, 2011 | 01-01-2009 to 30-06-2009 1, 5 | Sweden | 6 | General | Region Skåne, the Stockholm County Council and the Swedish Association of Local Authorities and Regions. | 1 |
| The Registry for Emergency Care (REC) | O’Reilly, 2020 | Not specified | Australia | 1 | General | No funding acknowledged. | 1 |
| Cleveland Clinic Emergency Airway Registry 4 | Phelan, 2010 | 01-07-2005 to 31-03-2007 | USA | 1 | Airway | No funding acknowledged. | 0 |
| Australia and New Zealand Emergency Department Airway Registry (ANZEDAR) | Fogg, 2016 | 01-04-2010 to 30-03-2014 5 | Australia | 1 | Airway | Emergency Care Institute research funding scheme. | 3 |
| Defense Registry for Emergency Airway Management (DREAM) | Mendez, 2021 | 01-2020 to 07-2020 1 | USA | 1 | Airway | No funding acknowledged. | 0 |
| Korean Emergency Airway Management Registry (KEAMR) | Choi, 2021 | 03-2006 to 12-2010 1 | Korea | 13 | Airway | No funding acknowledged. | 2 |
| National Emergency Airway Registry (NEAR) | Brown, 2015 | 01-07-2002 to 31-12-2012 5 | USA, Australia, Canada | 13 | Airway | No funding acknowledged. | 19 |
| South African Emergency Department Airway Registry 4 | Hart, 2020 | 01-09-2015 to 31-10-2016 1 | South Africa | 1 | Airway | No funding acknowledged. | 0 |
| Children's Injury Database (CID) | McCain, 2023 | 2021 1 | USA | 1 | Pediatric | No funding acknowledged. | 0 |
| Nicaragua Pediatric Emergency Registry 4 | Bressan, 2021 | 01-01-2017 to 31-12-2017 1 | Nicaragua | 7 | Pediatric | Regione Lombardia and the Associazione il Bambino Nefropatico | 0 |
| The Pediatric Emergency Care Applied Research Network Registry (PECARN) | Sara, 2018 | 01-2012 to 06-2016 1, 5 | USA | 7 | Pediatric | Agency for Healthcare Research and Quality 6. | 0 |
| Emergency Medicine Pulmonary Embolism in the Real World Registry (EMPORER) | Pollack, 2011 | 01-01-2005 to 29-12-2008 | USA | 22 | Acute pulmonary embolism | GlaxoSmithKline. | 1 |
| Risk Profile of Patients VTED Attended in Spanish Emergency Departments Registry (ESPHERIA) | Jimenez, 2017 | 13-10-2014 to 14-12-2014 1 | Spain | 53 | Venous thromboembolism | Bayer Hispania. | 1 |
| Emergency Atrial Fibrillation Registry of the Catalan Institute of Health (URGFAICS) | Jacob, 2019 | 09-2016 to 02-2017 1 | Spain | 5 | Atrial fibrillation | No funding acknowledged. | 1 |
| Epidemiology of Acute Heart Failure in Emergency Departments Registry (EAHFE) | Llorens, 2015 | 15-03 to 15-05-2007; 01-06 to 30-06-2009;07-11-2011 to 07-01-2012 | Spain | 29 | Heart failure | Partially funded by the Institute of Health. | 2 |
| Acute Epileptic Seizures in the Emergency Department Registry (ACESUR) | Alonso, 2019 | 01-02-2017 to 31-10-2017 | Spain | 18 | Acute epileptic seizures | No funding acknowledged. | 0 |
| Ain Shams University Hospital Trauma Registry 4 | Khalil, 2021 | 01-2017 to 12-2017 | Egypt | 1 | Trauma | Fogarty Institute in USA. | 0 |
| Auckland City Hospital Emergency Department Overdose Database | Theron, 2017 | 2002 to 2004 1 | New Zealand | 1 | Overdose | No funding acknowledged. | 0 |
| Emergency Medicine Events Register (EMER) | Hansen, 2016 | 12-2012 to 02-2015 1 | Australia, New Zealand | 21 | Safety incidents | Australasian College for Emergency Medicine | 0 |
| Procedural Sedation in the Community Emergency Department Registry (ProSCED) | Sacchetti, 2007 | 01-01-2003 to 04-03-2006 1 | USA | 14 | Procedural sedation | No funding acknowledged. | 1 |
| Singapore Head Injury Database 4 | Chong, 2015 | 01-2006 to 06-2014 1 | Singapore | 1 | Pediatric head injury | Pediatrics Academic Clinical Program, Singapore. | 0 |
| The Sepsis Registry 4 | Williams, 2011 | Not specified | Australia | 1 | Sepsis | Queensland Emergency Medicine Research Foundation. | 0 |
| VNICat (NIVCat in English) | Jacob, 2017 | 02-2015 to 03-2015 1 | Spain | 8 | Non-invasive mechanical ventilation | No funding acknowledged. | 1 |
3.3. Funding for Primary ED Registry Publications
3.4. Aims, Results and Conclusion in Primary ED Registry Publications with a General Scope
3.5. Aims, Results and Conclusion in Primary ED Registry Publications Specific for a Condition or Population
3.6. Aims, Results and Conclusion in Secondary Publications
4. Discussion
4.1. Emergency Department Registries Reported in the Literature
4.2. Emergency Department Registry Scope
4.3. Temporal Scope of Emergency Department Registries
4.4. Funding source for Emergency Department Registries
4.5. ED Registries as a Catalyst for Further Publications
4.6. ED Registries as a Catalyst for Quality –A Piece of the Learning Health System Puzzle?
5. Limitations
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Search Strategy
| Search Query | ||
|---|---|---|
| All databases | Full text available; English language | |
| PubMed | ((Emergency [Title]) AND (Registry [Title] OR Register[Title] OR Database[Title])) | |
| Embase | ((Emergency.ti.) AND (Registry.ti. OR Register.ti. OR Database.ti.)) | |
| Web of Science | (TI=(Emergency) AND (TI=(Registry) OR TI=(Register) OR TI=(Database))) |
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| Category | Scope | Clinical quality registry example |
|---|---|---|
| Procedure, device or drug | Joint replacement | The American Joint Replacement Registry [13] |
| Ventricular Assisted Device | The Spanish Registry of durable ventricular assist devices [14] | |
| Disease or illness | Hip fracture | The Swedish Fracture Register [15] |
| Stroke | The Australian Stroke Clinical Registry [16] | |
| Specific healthcare resource | Trauma | The Australian Trauma Registry [17] |
| Intensive Care | The Australian and New Zealand Intensive Care Society Centre for Outcomes and Resources Evaluation [8] |
| Registry | Aim | Results | Conclusion | |
|---|---|---|---|---|
| Acute Admission Database | Barford, 2012 | The objective of this article is to 1) describe the formation and design of the ‘Acute Admission Database’ and 2) characterize the cohort included. | In primary triage, patients were categorized as red (4.4%), orange (25.2%), yellow (38.7%) and green (31.7%). Abnormal vital signs were present at admission in 25% of the patients, most often temperature (10.5%), saturation of peripheral oxygen (9.2%), Glasgow Coma Score (6.6%) and respiratory rate (4.8%). A venous acid-base status was obtained in 43% of all patients. The majority (78%) had a pH within the normal range (7.35-7.45), 15% had acidosis (pH < 7.35) and 7% had alkalosis (pH > 7.45). Median length of stay was 2 days (range 1-123). The proportion of patients admitted to Intensive Care Unit was 1.6% (95% CI 1.2-2.0), 1.8% (95% CI 1.5-2.2) died within 7 days, and 4.2% (95% CI 3.7-4.7) died within 28 days after admission. | Despite challenges of data registration, we succeeded in creating a database of adequate size and data quality. Future studies will focus on the association between patient status at admission and patient outcome, e.g. admission to Intensive Care Unit or in-hospital mortality. |
| American College of Emergency Physicians Clinical Emergency Data Registry (CEDR) | Venkatesh, 2021 | To develop a volume-adjusted ED throughput quality measure to balance variation at the ED group level. | We found marked differences in the classification of ED throughput performance between scoring approaches. The weighted standardized score (z score) approach resulted in the least skewed and most uniform distribution across the majority of ED types, with a kurtosis of 12.91 for taxpayer identification numbers composed of 1 ED, 2.58 for those with multiple EDs without any supercenter, and 3.56 for those with multiple EDs with at least 1 supercenter, all lower than comparable scoring methods. The plurality and simple average scoring approaches appeared to disproportionally penalize ED groups that staff a single ED or multiple large-volume EDs. | Application of a weighted standardized (z score) approach to ED throughput measurement resulted in a more balanced variation between different ED group types and reduced distortions in the length-of-stay measurement among ED groups staffing high-volume EDs. This approach may be a more accurate and acceptable method of profiling ED group throughput pay-for-performance programs. |
| Centre des Urgences de Yaoundé (CURY) 4 | Jeong, 2022 | This paper describes the methods of CURY patient data collection and the characteristics of the patients visited CURY from January 2016 to June 2018. | During the study period, a total of 18,875 patients’ data were collected (44.5% women, median age of 36). Of the total patients, 2.4% had chest pain, 2.7% had stroke, 1.9% had sepsis/septic shock, and 1.6% had multiple trauma. About 6.0% patients received operation and majority of patients were discharged either normally (48.2%) or with continuity of care (26.3%). About 5.0% of patients were transferred to other hospital and 5.2% of patients were dead. | This study serves to broaden understanding of the emergency patients in Yaoundé, Cameroon. The hospital patient database for emergency patients can be further used as a basis for providing improved quality of medical care and effective communication tool among the medical staffs. |
| Danish Database for Acute and Emergency Hospital Contacts (DDAEHC) | Lassen, 2016 | The aim of the Danish database for acute and emergency hospital contacts (DDAEHC) is to monitor the quality of care for all unplanned hospital contacts in Denmark (acute and emergency contacts). | The DDAEHC also includes age, sex, Charlson Comorbidity Index conditions, civil status, residency, and discharge diagnoses. The DDAEHC expects to include 1.7 million acute and emergency contacts per year. | The DDAEHC is a new database established by the Danish Regions including all acute and emergency hospital contacts in Denmark. The database includes specific outcome and process health care quality indicators as well as demographic and other basic information with the purpose to be used for enhancement of quality of acute care. |
| Swedish Emergency Registry (SVAR) | Ekelund, 2011 | To assess the feasibility of collecting selected quality of care data from six different Swedish EDs using automated data capture as a basis for a national quality of care registry, and to present some first results regarding throughput times and patient presentation times. | All EDs provided throughput times and patient presentation data without significant problems. In all EDs, Monday was the busiest day and the fewest patients presented on Saturday. All EDs had a large increase in patient inflow before noon with a slow decline over the rest of the 24 h, and this peak and decline was especially pronounced in elderly patients. The average LOS was 4 h of which 2 h was spent waiting for the first physician. These throughput times showed a considerable diurnal variation in all EDs, with the longest times occurring 6-7am and in the late afternoon. | These results demonstrate the feasibility of collecting benchmarking data on quality of care targets within Swedish EM, and form the basis for ANSWER, A National SWedish Emergency Registry. |
| The Registry for Emergency Care | O’Reilly, 2020 | The first objective of the REC Project is to determine the impact of patient isolation and IPC processes on ED length of stay for adult patients. | Clinical tools will be generated to inform emergency care, both during and beyond the COVID-19 pandemic. | The REC Project will support ED clinicians in the emergency care of all patients. |
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