Evidence map›Paper›PMID 34179437›Full record

ArticleJournal of patient experience2021

The Virtual Care Experience of Patients Diagnosed With COVID-19.

Freya Raffan, Teresa Anderson, Tim Sinclair, Miranda Shaw, Sue Amanatidis, Rajip Thapa, Sarah Jane Nilsson, Dianna Jagers, Andrew Wilson, Fiona Haigh

Abstract read
In one paragraph

Article in Journal of patient experience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  14. Observational
  15. Article
  16. Article
  17. 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

10 authors.

Freya RaffanVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.ORCID https://orcid.org/0000-0001-8490-8646
Teresa AndersonSydney Local Health District, Camperdown, New South Wales, Australia.
Tim SinclairSydney Local Health District, Camperdown, New South Wales, Australia.
Miranda ShawVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.
Sue AmanatidisVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.
Rajip ThapaVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.
Sarah Jane NilssonVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.
Dianna JagersVirtual Hospital, Sydney Local Health, Camperdown, New South Wales, Australia.
Andrew WilsonMenzies Centre for Health Policy, University of Sydney, Sydney, New South Wales Australia.
Fiona HaighResearch and Development Unit, Centre for Health Equity, University of New South Wales, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual models of care are seen as a sustainable solution to the growing demand for health care. This paper analyses the experience of virtual care among patients diagnosed with COVID-19 in home isolation or health hotel quarantine using a patient-reported experience questionnaire. Results found that patients respond well to virtual models of care during a pandemic. Lessons learned can inform future developments of virtual care models.

Indexed as

access to careCOVID-19patient expectationspatient feedbackpatient satisfactiontechnologytelehealth

Identifiers

PMID34179437
PMCPMC8205417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.