Evidence map›Paper›PMID 38420576›Full record

ArticleJournal of the American College of Emergency Physicians open2024

Relationship between on-demand telehealth visits and emergency department and hospital surge during the COVID-19 pandemic.

Benjamin H Slovis, Xin Ji, Anna Marie Chang, John Kairys, Judd E Hollander

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Benjamin H SlovisOffice of the CMIO Thomas Jefferson University Philadelphia Pennsylvania USA.
Xin JiMcKesson Denton Texas USA.
Anna Marie ChangDepartment of Emergency Medicine Sidney Kimmel Medical College of Thomas Jefferson University Philadelphia Pennsylvania USA.
John KairysOffice of the CMIO Thomas Jefferson University Philadelphia Pennsylvania USA.
Judd E HollanderDepartment of Emergency Medicine Sidney Kimmel Medical College of Thomas Jefferson University Philadelphia Pennsylvania USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The relationship between COVID-19-related telehealth calls could be used to predict emergency department visits and hospital surges 3 days later potentially facilitating staffing adjustments in advance of patient arrivals. The purpose of this research was to study the temporal association between frequencies of on demand telehealth calls and emergency department surges during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Methods: This cohort study examined patients who self-initiated synchronous audio-video on-demand telehealth calls between January 1, 2020 and June 30, 2022, and compared these to emergency department arrivals. The exposure in question was a synchronous audio-video on-demand telehealth visit. Our main outcome measured was frequency of emergency department visits. After autocorrelation, a multivariate linear regression model was utilized to determine temporal relationships between the two variables. Results: This cohort study examined 42,429 synchronous audio-video on-demand telehealth calls, of which 43.6% were COVID-19 related, and 540,686 emergency department visits, of which 3.9% were diagnosed with COVID-19. COVID-19-related telehealth calls 3 days prior were predictive of emergency department encounters ( Conclusions: Our results demonstrate that telehealth calls related to COVID-19 were an accurate predictor of emergency department encounters 3 days later, and emergency department encounters are highly correlated with hospital admissions. Limitations include that we only assessed a single health system in the region covered by the telemedicine healthcare professionals. We did not examine direct links between these two encounter types nor severity of illness at the patient level. Understanding that telehealth calls related to COVID-19 are highly predictive of emergency department encounters within 3 days may provide a brief but important window to upstaff hospitals at the beginning of future COVID-19 surges.

Indexed as

COVID‐19emergency medicinehospital surgetelehealth

Identifiers

PMID38420576
PMCPMC10897634

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.