ArticleJMIR research protocols2022
A Quality Improvement Emergency Department Surge Management Platform (SurgeCon): Protocol for a Stepped Wedge Cluster Randomized Trial.
Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04789902 (A Stepped Wedge Cluster Randomized Trial Designed to Evaluate the Effects of SurgeCon), which is not on this map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Stepped Wedge Cluster Randomized Trial Designed to Evaluate the Effects of SurgeCon: A Quality Improvement Surge Management Platform
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Trial
- Growing a Learning Health Care Community: reflections from the 6for6 rural research journey: Part 1 of a 4-part series.Canadian family physician Medecin de famille canadien · 2026Article
- Counting the Cost: Examining Out-of-Pocket Spending on Emergency Care in Newfoundland and Labrador, Canada.Journal of the American College of Emergency Physicians open · 2026Article
- Article
- Privacy Matters: Experiences of Rural and Remote Emergency Department Patients - A Mixed-Methods Research Conducted in Newfoundland and Labrador, Canada.Health services insights · 2025Article
- "They Just Don't Want to Feel Forgotten": A Mixed-Methods Research on Patient Satisfaction With Wait Times in Emergency Departments.Journal of patient experience · 2025Article
- A qualitative study of the barriers and facilitators impacting the implementation of a quality improvement program for emergency departments: SurgeCon.BMC health services research · 2024Article
- Applications of Artificial Intelligence in Emergency Departments to Improve Wait Times: Protocol for an Integrative Living Review.JMIR research protocols · 2024Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite many efforts, long wait times and overcrowding in emergency departments (EDs) have remained a significant health service issue in Canada. For several years, Canada has had one of the longest wait times among the Organisation for Economic Co-operation and Development countries. From a patient's perspective, this challenge has been described as "patients wait in pain or discomfort for hours before being seen at EDs." To overcome the challenge of increased wait times, we developed an innovative ED management platform called SurgeCon that was designed based on continuous quality improvement principles to maintain patient flow and mitigate the impact of patient surge on ED efficiency. The SurgeCon quality improvement intervention includes a protocol-driven software platform, restructures ED organization and workflow, and aims to establish a more patient-centric environment. We piloted SurgeCon at an ED in Carbonear, Newfoundland and Labrador, and found that there was a 32% reduction in ED wait times.
objectiveThe primary objective of this trial is to determine the effects of SurgeCon on ED performance by assessing its impact on length of stay, the time to a physician's initial assessment, and the number of patients leaving the ED without being seen by a physician. The secondary objectives of this study are to evaluate SurgeCon's effects on patient satisfaction and patient-reported experiences with ED wait times and its ability to create better-value care by reducing the per-patient cost of delivering ED services.
methodsThe implementation of the intervention will be assessed using a comparative effectiveness-implementation hybrid design. This type of hybrid design is known to shorten the amount of time associated with transitioning interventions from being the focus of research to being used for practice and health care services. All EDs with 24/7 on-site physician support (category A hospitals) will be enrolled in a 31-month, pragmatic, stepped wedge cluster randomized trial. All clusters (hospitals) will start with a baseline period of usual care and will be randomized to determine the order and timing of transitioning to intervention care until all hospitals are using the intervention to manage and operationalize their EDs.
resultsData collection for this study is continuing. As of February 2022, a total of 570 randomly selected patients have participated in telephone interviews concerning patient-reported experiences and patient satisfaction with ED wait times. The first of the 4 EDs was randomly selected, and it is currently using SurgeCon's eHealth platform and applying efficiency principles that have been learned through training since September 2021. The second randomly selected site will begin intervention implementation in winter 2022.
conclusionsBy assessing the impact of SurgeCon on ED services, we hope to be able to improve wait times and create better-value ED care in this health care context.
trial registrationClinicalTrials.gov NCT04789902; https://clinicaltrials.gov/ct2/show/NCT04789902. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30454.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.