Evidence map›Paper›PMID 36378518›Full record

ArticleJournal of medical Internet research2022

Use of the Hashtag #DataSavesLives on Twitter: Exploratory and Thematic Analysis.

Piotr Teodorowski, Sarah E Rodgers, Kate Fleming, Lucy Frith

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of Public Involvement in Doctoral Research Using a Four-Dimensional Theoretical Framework.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  4. 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

4 authors.

Piotr Teodorowski *Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0003-2172-8298
Sarah E Rodgers *Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-4483-0845
Kate Fleming *NHS Digital, Liverpool, United Kingdom.ORCID 0000-0002-6572-5016
Lucy Frith *Centre for Social Ethics and Policy, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-8506-0699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background"Data Saves Lives" is a public engagement campaign that highlights the benefits of big data research and aims to establish public trust for this emerging research area.

objectiveThis study explores how the hashtag #DataSavesLives is used on Twitter. We focused on the period when the UK government and its agencies adopted #DataSavesLives in an attempt to support their plans to set up a new database holding National Health Service (NHS) users' medical data.

methodsPublic tweets published between April 19 and July 15, 2021, using the hashtag #DataSavesLives were saved using NCapture for NVivo 12. All tweets were coded twice. First, each tweet was assigned a positive, neutral, or negative attitude toward the campaign. Second, inductive thematic analysis was conducted. The results of the thematic analysis were mapped under 3 models of public engagement: deficit, dialogue, and participatory.

resultsOf 1026 unique tweets available for qualitative analysis, discussion around #DataSavesLives was largely positive (n=716, 69.8%) or neutral (n=276, 26.9%) toward the campaign with limited negative attitudes (n=34, 3.3%). Themes derived from the #DataSavesLives debate included ethical sharing, proactively engaging the public, coproducing knowledge with the public, harnessing potential, and gaining an understanding of big data research. The Twitter discourse was largely positive toward the campaign. The hashtag is predominantly used by similar-minded Twitter users to share information about big data projects and to spread positive messages about big data research when there are public controversies. The hashtag is generally used by organizations and people supportive of big data research. Tweet authors recognize that the public should be proactively engaged and involved in big data projects. The campaign remains UK centric. The results indicate that the communication around big data research is driven by the professional community and remains 1-way as members of the public rarely use the hashtag.

conclusionsThe results demonstrate the potential of social media but draws attention to hashtag usage being generally confined to "Twitter bubbles": groups of similar-minded Twitter users.

Indexed as

Social MediaCommunicationHumansState Medicinebig datacampaigncommunityconsumer involvementdata sharingethicshashtagpatient participationperceptionpublic engagementresearchsocial mediastakeholder participationtrusttweetsTwitterusageusers

Identifiers

PMID36378518
PMCPMC9709666

What OpenQuestion holds

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LicenceCC BY
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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.