Evidence map›Paper›PMID 36307280›Full record

ArticleThe Journal of emergency medicine2022

Drive-Through Medicine: A Novel Health Care Delivery Mechanism for the COVID-19 Pandemic.

Sean Stuart, Graeme Bannerman, Michael Jackson

Abstract read
In one paragraph

Article in The Journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sean StuartDepartment of Emergency Medicine, Naval Medical Center Portsmouth, Portsmouth, VA; Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Graeme BannermanDepartment of Emergency Medicine, Naval Medical Center Portsmouth, Portsmouth, VA.
Michael JacksonDepartment of Emergency Medicine, Naval Medical Center Portsmouth, Portsmouth, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) placed additional strain on an already struggling health care system. In response, novel solutions such as telehealth have been explored, however, there is significant room for innovation in health care delivery.

objectivesThe aim of our study was to evaluate the effectiveness of a drive-through medical treatment system for evaluating patients with COVID-like symptoms.

methodsWe designed a prototype drive-through medical treatment facility (DMF) to triage large volumes of patients quickly and efficiently, while fully evaluating, treating, and discharging low-risk patients. A retrospective chart review was performed to extract clinical and logistical metrics.

resultsA total of 2164 patients were evaluated between May 1 and July 1, 2020. Overall accuracy for patient classification was 92.4% (95% confidence interval [CI] 91.2-93.5%). Screening criteria resulted in a return with need for workup or admission rate of 0.25%, yielding a sensitivity of 83.3% (95% CI 65.3-94.4%). Of those presenting to the DMF, 179 patients (8.3%) were diverted to the main emergency department (ED) for further evaluation, of which 14% received diagnostic workups and 5% subsequent admission to an inpatient service, yielding a specificity of 92.8% (95% CI 91.7- 93.9%). Length of stays for those seen in the DMF vs. the main ED (M = 38 min vs 149 min) yielded a mean difference of 111 min per encounter and a total time savings of 3762 h.

conclusionDrive-through medical systems can accurately triage patients presenting with potential COVID-19 and effectively treat lower-risk patients, thereby reducing ED utilization.

Indexed as

COVID-19PandemicsDelivery of Health CareEmergency Service, HospitalHumansRetrospective StudiesSARS-CoV-2COVID-19drive-throughhealth care delivery systemspandemicSARS-CoV-2surge response

Identifiers

PMID36307280
PMCPMC9464587

What OpenQuestion holds

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Registered trials

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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.