Evidence map›Paper›PMID 33094254›Full record

ArticleFuture healthcare journal2020

COVID-19 recognition and digital risk stratification.

Luke E Hodgson, Todd Leckie, Alexander Hunter, Nicolaas Prinsloo, Richard Venn, Lui Forni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Future healthcare journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Characteristics and specifications of dashboards developed for the COVID-19 pandemic: a scoping review.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023
    Review
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

6 authors.

Luke E HodgsonWorthing Hospital, Worthing, UK and visiting senior lecturer, University of Surrey, Guildford, UK.
Todd LeckieWorthing Hospital, Worthing, UK.
Alexander HunterSt Richard's Hospital, Chichester, UK.
Nicolaas PrinslooWorthing Hospital, Worthing, UK.
Richard VennWorthing Hospital, Worthing, UK.
Lui ForniRoyal Surrey County Hospital Guildford, UK and professor, University of Surrey, Guildford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the acute hospital setting the COVID-19 pandemic presents some unique challenges to acute patient care. These include accurate recognition of cases, confirmation of both testing requests and results, establishing patient acuity and alerting to deterioration. We report our experience introducing a digital COVID-19 assessment tool with an associated live dashboard at two acute NHS hospitals, enabling accurate hospital-level reporting alongside risk stratification.

Indexed as

coronavirusCOVID-19Digital assessment

Identifiers

PMID33094254
PMCPMC7571732

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.