Evidence map›Paper›PMID 34411122›Full record

ArticlePloS one2021

They promised this ten years ago. Effects of diabetes news characteristics on patients' perceptions and attitudes towards medical innovations and therapy adherence.

Hans Vehof, Eibert R Heerdink, José Sanders, Enny Das

Abstract read
In one paragraph

Article in PloS one, 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. 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.

Hans VehofCentre for Language Studies, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0001-6800-9157
Eibert R HeerdinkResearch Group Process Innovations in Pharmaceutical Care, HU University of Applied Sciences, Utrecht, The Netherlands.
José SandersCentre for Language Studies, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0003-2984-3143
Enny DasCentre for Language Studies, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0002-0367-6757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients have ever-increasing access to web-based news about hopeful scientific developments that may or may not cure them in the future. Science communication experts agree that the quality of news provision is not always guaranteed. However, literature does not clarify in what way users are actually affected by typical news characteristics such as the news object (described developmental phase of an innovation), the news source (degree of authority), and the news style (degree of language intensification). An online vignette experiment (N = 259) investigated causal relationships between characteristics of news about diabetes innovations and patients' perceptions of future success, their interest in the innovation, and attitudes regarding current therapy adherence. Findings show that descriptions of success in mice led to higher estimations of future success chances than earlier and later developmental phases. Furthermore, news from a nonauthoritative source led to an increased interest in the innovation, and a more negative attitude towards current lifestyle advice. Lastly, the intensification of the language used in news messages showed slight adverse effects on the readers' attitude. These findings, combined with their small effect sizes, support the optimistic view that diabetes patients are generally critical assessors of health news and that future research on this topic should focus on affected fragile subgroups.

Indexed as

Attitude to HealthCommunicationPatient ComplianceAdolescentAdultAgedAged, 80 and overDiabetes MellitusFemaleHumansMaleMass MediaMiddle AgedPatientsPerceptionYoung Adult

Identifiers

PMID34411122
PMCPMC8376088

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Registered trials

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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.