Evidence map›Paper›PMID 34286209›Full record

ArticleFuture healthcare journal2021

Digitally enhanced recovery from severe COVID-19: a new frontier?

Alexander Hunter, Todd Leckie, Daniel Fitzpatrick, Anacarolina Goncalves, Alan Richardson, Luke Hodgson

Abstract read
In one paragraph

Article in Future healthcare journal, 2021. 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. 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.

Alexander HunterWorthing Hospital, Worthing, UK.
Todd LeckieBrighton University Hospitals, Brighton, UK.
Daniel FitzpatrickUniversity of Brighton, Brighton, UK.
Anacarolina GoncalvesWorthing Hospital, Worthing, UK.
Alan RichardsonUniversity of Brighton, Brighton, UK.
Luke HodgsonWorthing Hospital, Worthing, UK and visiting senior lecturer, University of Surrey, Guildford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the first wave of intensive care unit admissions with COVID-19, in response to the constraints of social distancing we introduced a new digitally enabled critical care rehabilitation pathway. Using smartwatch technology, this pathway rapidly enabled our multidisciplinary team to observe the recovery of a COVID-19 cohort across eight NHS acute hospitals across the south of England. This represents one of the geographically largest smartwatch studies of its kind.

Indexed as

COVID-19digital assessmentdigital rehabilitationsmartwatch technology

Identifiers

PMID34286209
PMCPMC8285128

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.