ArticleInternal and emergency medicine2018
Emergency department throughput: an intervention.
Article in Internal and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emergency department crowding in the modern era: a systematic review (2018-2025).Clinical and experimental emergency medicine · 2026Pooled it
- Clinical and operational impact of rapid point-of-care SARS-CoV-2 detection in an emergency department.The American journal of emergency medicine · 2021Article
- "Friction by Definition": Conflict at Patient Handover Between Emergency and Internal Medicine Physicians at an Academic Medical Center.The western journal of emergency medicine · 2021Article
- The impact of delayed time to first CT head in traumatic brain injury.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shortening emergency department (ED) boarding time and managing hospital bed capacity by expediting the inpatient discharge process have been challenging for hospitals nationwide. The objective of this study is was to explore the effect of an innovative prospective intervention on hospital workflow, specifically on early inpatient discharges and the ED boarding time. The intervention consisted of a structured nursing "admission discharge transfer" (ADT) protocol receiving new admissions from the ED and helping out floor nursing with early discharges. ADT intervention was implemented in a 38-bed hospitalist run inpatient unit at an academic hospital. The study population consisted of 4486 patients (including inpatient and observation admissions) who were hospitalized to the medicine unit from March 2013-March 2014. Of these hospitalizations, 2259 patients received the ADT intervention. Patients' demographics, discharge and ED boarding data were collected for from March 4, 2013 to March 31, 2014 for both intervention and control groups (28 weeks each). Chi-square and unpaired t tests were utilized to compare population characteristics. Poisson regression analysis was conducted to estimate the association between intervention and hospital length of stay adjusted for differences in patient demographics. Mean age of the study population was 58.6 years, 23% were African Americans and 55% were women. A significant reduction in ED boarding time (p < 0.001) and improvement in early (before 2 PM) hospital discharges (p = 0.01) were noticed among patients in the intervention groups. There was a slight but significant reduction in hospital length of stay for observation patients in the intervention group; however, no such difference was noted for inpatient admissions. Our study showed that dedicating nursing resources towards ED-boarded patients and early inpatient discharges can significantly improve hospital workflow and reduce hospital length of stay.
Indexed as
Identifiers
29335822What OpenQuestion holds
Registered trials
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.