ArticlePrehospital emergency care
Alcohol as a Factor in 911 Calls in Denver.
Article in Prehospital emergency care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed, 6 citations in OpenAlex.
- Alcohol Intoxication in the Academic Emergency Department: Epidemiology and Facility-Fee Financial Impact.The western journal of emergency medicine · 2025Article
- The Burden of Alcohol-Related Emergency Department Visits in a Hospital of a Large European City.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundExcessive alcohol consumption is associated with a substantial number of emergency department visits annually and is responsible for a significant number of lives lost each year in the United States. However, a minimal amount is known about the impact of alcohol on the EMS system.
objectivesThe primary objective was to determine the proportion of 9-1-1 calls in Denver, Colorado in which (1) alcohol was a contributing factor or (2) the individual receiving EMS services had recently ingested alcohol. The secondary objectives were to compare the characteristics of EMS calls and to estimate the associated costs.
methodsThis was a prospective observational cohort study of EMS calls for adults from July 1, 2012, to June 30, 2014. Primary outcomes for the study were alcohol as a contributing factor to the EMS call and recent alcohol consumption by the patient receiving EMS services. Logistic regression was utilized to determine the associations between EMS call characteristics and the outcomes. Cost was estimated using historic data.
resultsDuring the study period, 169,642 EMS calls were completed by the Denver Health Paramedic Division. Of these 71% were medical and 29% were trauma-related. The median age was 45 (interquartile range [IQR] 29-59) years, and 55% were male. 50,383 calls (30%) had alcohol consumption, and 49,165 (29%) had alcohol as a contributing factor. Alcohol related calls were associated with male sex, traumatic injuries including head trauma, emergent response, use of airway adjuncts, cardiac monitoring, glucose measurement, use of restraints, use of spinal precautions, and administration of medications for sedation. Estimated costs to the EMS system due to alcohol intoxication exceeded $14 million dollars over the study period and required in excess of 37 thousand hours of paramedic time.
conclusionsCompared to 9-1-1 calls that do not involve alcohol, alcohol-related calls are more likely to involve male patients, emergent response, traumatic injuries, advanced monitoring, airway adjuncts, and medications for sedation. This represents a significant burden on the emergency system and society. Further studies are needed to evaluate whether additional interventions such as social services could be used to lessen this burden.
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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.