Point-of-care testing improves care timeliness in the emergency department. A multicenter randomized clinical trial (study POCTUR)
Abstract
Objectives: Emergency department (ED) crowding is a widespread problem that positions patients at risk. The desire to improve the ED throughput requires novel approaches. Point-of-care testing (POCT) has emerged as useful technology that could contribute to create more efficient patient flow and better timeliness in the ED. The main objective of our study is to demonstrate, in a multicenter study, that POCT benefits care timeliness in the ED. Methods: We conducted a multicenter and cluster randomized study. A total of 3,200 patients. We randomly assigned patients to a POCT group or Central Laboratory Group. The primary outcome was the ED time to clinical decision. The secondary outcome included the length of stay and the laboratory turnaround time. Readmission within the seven after discharge was also calculated. Results: The primary finding of this study is a strategy based on POCT that aims to significantly improve care timeliness in the ED. We found significant reductions in all outcomes regardless of presentation reason, patient disposition or hospital type. Time to clinical decision decreased by 75.2 min (205–129.8), length of stay by 77.5 min (273.1–195.6) and laboratory turnaround time by 56.2 min (82.2–26) in the POCT group. No increase in readmission was found. Conclusions: Our strategy represents a good approach to optimize timeliness in the ED. It should be seen as a starting point for further operational research focusing on POCT for improving throughput and reducing crowding in the ED.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Emergency department crowding: A systematic review of causes, consequences and solutions
Morley, C., Unwin, M., Peterson, G. M., Stankovich, J., & Kinsman, L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0203316 · Cited by 1,386 · see citing works
Point-of-care testing: state-of-the art and perspectives
Plebani, M., Nichols, J. H., Luppa, P. B., Greene, D., Sciacovelli, L., Shaw, J., Khan, A. I., Carraro, P., Freckmann, G., Dimech, W., et al. (2025) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2024-0675 · Cited by 119 · see citing works
Li, L., Georgiou, A., Vecellio, E., Eigenstetter, A., Toouli, G., Wilson, R., & Westbrook, J. I. (2015) · Academic Emergency Medicine · doi:10.1111/acem.12565 · Cited by 117 · see citing works
Flagged first, then by citations
- Authors
- Leon-Justel, A., Navarro Bustos, C., Noval-Padillo, J. A., Martin Perez, S., Aviles Gomez, M. D., Jimenez Valencia, N., Garrido Castilla, J. M., Diaz Muñoz, M., Rivera Vizcaino, M. A., Alvarez Heredia, L., Gracia Moreno, E., Roldan Fontan, M. E., Bueno Mariscal, C., Guerrero Montavez, J. M., & Sanchez-Mora, C.
- Affiliations
- Laboratory Medicine Department , Hospital Universitario Virgen Macarena. Instituto Biomedicina Sevilla IBIs/CSIC/Universidad de Sevilla/Universidad Loyola Andalucia , Sevilla , Spain
- Emergency Department , Hospital Universitario Virgen Macarena , Sevilla , Spain
- Laboratory Medicine Department , Hospital Universitario Virgen del Rocio , Sevilla , Spain
- Laboratory Medicine Department , Hospital Universitario Virgen Macarena , Sevilla , Spain
- Emergency Department , Hospital Universitario Virgen del Rocio , Sevilla , Spain
- Laboratory Medicine Department , Hospital Osuna , Sevilla , Spain
- Emergency Department , Hospital Universitario Virgen Macarena, Universidad de Sevilla , Sevilla , Spain
- Emergency Department , Hospital Osuna , Sevilla , Spain
- Laboratory Medicine Department , Hospital Universitario Virgen Sevilla, Instituto Biomedicina Sevilla IBIs/CSIC/Universidad de Sevilla , Sevilla , Spain
- Venue
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Publisher
- Walter de Gruyter GmbH
- Published
- 2024-12-05
- Volume
- 63
- Issue
- 5
- Pages
- 942-951
- ISSN
- 1434-6621 (ISSN-L)
- 1437-4331
- OpenAlex
- W4405024614
- Cited by
- 7
- References
- 3
- Citations by year
- 2026: 6 · 2025: 1
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Chemistry and Laboratory Medicine (CCLM) (publishedVersion)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (acceptedVersion)
- Funders
- Instituto de Salud Carlos III (PI21/00829)
- Topics
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
- Keywords
- point-of-care testing, emergency department overcrowding, emergency department throughput, length of hospital stay, laboratory turnaround time, hospital readmission, patient flow, central laboratory
- MeSH terms
- Point-of-Care Testing, Adult, Aged, Emergency Service, Hospital, Female, Humans, Length of Stay, Male, Middle Aged, Patient Readmission, Time Factors, Point-of-Care Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review