Evidence map›Paper›PMID 32723388›Full record

ArticleBMC medical research methodology2020

The influence of social media on recruitment to surgical trials.

Carly Nichola Bisset, Ben Carter, Jennifer Law, Jonathan Hewitt, Kat Parmar, Susan Joan Moug, ELF Study Group Collaborative Authorship

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02952430 (Emergency Laparotomy and Frailty; a National Multicentre Prospective Cohort Study of Older Surgical Patients), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 14% 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.

NCT02952430 unknown statusnot on this map

Emergency Laparotomy and Frailty; a National Multicentre Prospective Cohort Study of Older Surgical Patients (ELF Study)

TypeobservationalSponsorNorth Western Research CollaborativeRan2016 to 2017Enrolled500ConditionsEmergencies, Frail Older Adult, LaparotomyArmsEmergency laparotomy
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Use of Twitter in Neurology: Boon or Bane?Journal of medical Internet research · 2021
    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

7 authors at 5 institutions in 1 country.

Carly Nichola BissetDepartment of General Surgery, Royal Alexandra Hospital, Paisley, PA2 9PN, UK. cbisset@nhs.net.ORCID 0000-0003-3331-4420
Ben CarterDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Jennifer LawDepartment of General Surgery, Blackpool Victoria Hospital, Blackpool, UK.
Jonathan HewittDepartment of Population Medicine, Cardiff University, Cardiff, UK.
Kat ParmarDepartment of General Surgery, Manchester Royal Infirmary, Manchester, UK.
Susan Joan MougDepartment of General Surgery, Royal Alexandra Hospital, Paisley, PA2 9PN, UK.
ELF Study Group Collaborative Authorship
Royal Alexandra Hospital · GBCardiff University · GBManchester Royal Infirmary · GBUniversity of Liverpool · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media has changed the way surgeons communicate worldwide, particularly in dissemination of trial results. However, it is unclear if social media could be used in recruitment to surgical trials. This study aimed to investigate the influence of Twitter in promoting surgical recruitment in The Emergency Laparotomy and Frailty (ELF) Study.

methodsThe ELF Study was a UK-based, prospective, observational cohort that aimed to assess the influence of frailty on 90-day mortality in older adults undergoing emergency surgery. A power calculation required 500 patients to be recruited to detect a 10% change in mortality associated with frailty. A 12-week recruitment period was selected, calculated from information submitted by participating hospitals and the numbers of emergency surgeries performed in adults aged > 65 years. A Twitter handle was designed (@ELFStudy) with eye-catching logos to encourage enrolment and inform the public and clinicians involved in the study. Twitter Analytics and Twitonomy (Digonomy Pty Ltd) were used to analyse user engagement in relation to patient recruitment.

resultsAfter 90 days of data collection, 49 sites from Scotland, England and Wales recruited 952 consecutive patients undergoing emergency laparotomy, with data logged into a database created on REDCap. Target recruitment (n = 500) was achieved by week 11. A total of 591 tweets were published by @ELFStudy since its conception, making 218,136 impressions at time of writing. The number of impressions (number of times users see a particular tweet) prior to March 20th 2017 (study commencement date) was 23,335 (343.2 per tweet), compared to the recruitment period with 114,314 impressions (256.3 per tweet), ending June 20th 2017. Each additional tweet was associated with an increase in recruitment of 1.66 (95%CI 1.36 to 1.97; p < 0.001).

conclusionThe ELF Study over-recruited by nearly 100%, reaching over 200,000 people across the U.K. Branding enhanced tweet aesthetics and helped increase tweet engagement to stimulate discussion and healthy competition amongst clinicians to aid trial recruitment. Other studies may draw from the social media experiences of the ELF Study to optimise collaboration amongst researchers.

trial registrationThis study is registered online at www.clinicaltrials.gov (registration number NCT02952430 ) and has been approved by the National Health Service Research Ethics Committee.

Indexed as

Social MediaAgedEnglandHumansProspective StudiesScotlandState MedicineRecruitmentSocial mediaSurgical trials

Identifiers

PMID32723388
PMCPMC7388470
OpenAlexW3045638559

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.