Evidence map›Paper›PMID 31710303›Full record

ArticleJMIR research protocols2019

Feasibility of Point-of-Care Testing for Influenza Within a National Primary Care Sentinel Surveillance Network in England: Protocol for a Mixed Methods Study.

Simon de Lusignan, Uy Hoang, Harshana Liyanage, Ivelina Yonova, Filipa Ferreira, Javier Diez-Domingo, Tristan Clark

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Spotlight influenza: Influenza surveillance before and after the introduction of point-of-care testing in Denmark, season 2014/15 to 2018/19.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Integrating molecular point-of-care testing for influenza into primary care: a mixed-methods feasibility study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Article
  8. 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

7 authors at 3 institutions in 2 countries.

Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-8553-2641
Uy HoangDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom.ORCID https://orcid.org/0000-0002-8428-5140
Harshana LiyanageDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom.ORCID https://orcid.org/0000-0001-9738-6349
Ivelina YonovaDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom.ORCID https://orcid.org/0000-0003-4856-3075
Filipa FerreiraDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom.ORCID https://orcid.org/0000-0002-7717-8486
Javier Diez-DomingoVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain.ORCID https://orcid.org/0000-0003-1008-3922
Tristan ClarkAcademic Unit of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom.ORCID https://orcid.org/0000-0001-6026-5295
University of Surrey · GBFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESUniversity of Southampton · GB

Funding

Department of Health PDF-2016-09-061
6 · The paper itself

Abstract

backgroundPoint-of-care testing (POCT) for influenza promises to provide real-time information to influence clinical decision making and improve patient outcomes. Public Health England has published a toolkit to assist implementation of these tests in the UK National Health Service.

objectiveA feasibility study will be undertaken to assess the implementation of influenza POCT in primary care as part of a sentinel surveillance network.

methodsWe will conduct a mixed methods study to compare the sampling rates in practices using POCT and current virology swabbing practices not using POCT, and to understand the issues and barriers to implementation of influenza POCT in primary care workflows. The study will take place between March and May 2019. It will be nested in general practices that are part of the English national sentinel surveillance network run by the Royal College of General Practitioners Research and Surveillance Centre. The primary outcome is the number of valid influenza swabs taken and tested by the practices involved in the study using the new POCT.

resultsA total of 6 practices were recruited, and data collection commenced on March 11, 2019. Moreover, 312 swab samples had been collected at the time of submission of the protocol, which was 32.5% (312/960) of the expected sample size. In addition, 68 samples were positive for influenza, which was 20.1% (68/338) of the expected sample size.

conclusionsTo the best of our knowledge, this is the first time an evaluation study has been undertaken on POCT for influenza in general practice in the United Kingdom. This proposed study promises to shed light on the feasibility of implementation of POCT in primary care and on the views of practitioners about the use of influenza POCT in primary care, including its impact on primary care workflows. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14186.

Indexed as

diagnosisgeneral practiceinfluenza, humanpoint-of-care systems

Identifiers

PMID31710303
PMCPMC6878097
OpenAlexW2984759165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.