Evidence map›Paper›PMID 38224480›Full record

ArticleJMIR infodemiology2024

The Use of Social Media to Express and Manage Medical Uncertainty in Dyskeratosis Congenita: Content Analysis.

Emily Pearce, Hannah Raj, Ngozika Emezienna, Melissa B Gilkey, Allison J Lazard, Kurt M Ribisl, Sharon A Savage, Paul Kj Han

Open access · goldAbstract read
In one paragraph

Article in JMIR infodemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Emily Pearce *Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0003-4222-9340
Hannah RajTeam Telomere, Coeur d'Alene, ID, United States.ORCID 0009-0002-7312-6934
Ngozika EmeziennaDivision of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-2532-0890
Melissa B GilkeyDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-1561-1392
Allison J LazardHussman School of Journalism and Media, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-2502-2850
Kurt M RibislDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-3318-8524
Sharon A SavageDivision of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0001-6006-0740
Paul Kj HanDivision of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0003-0165-1940
National Cancer Institute · USUniversity of North Carolina at Chapel Hill · USNorth Idaho College · US

Funding

Clinical Genetic Studies of Familial and Hereditary Cancer SyndromesZIACP010144 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$111.8M
6 · The paper itself

Abstract

backgroundSocial media has the potential to provide social support for rare disease communities; however, little is known about the use of social media for the expression of medical uncertainty, a common feature of rare diseases.

objectiveThis study aims to evaluate the expression of medical uncertainty on social media in the context of dyskeratosis congenita, a rare cancer-prone inherited bone marrow failure and telomere biology disorder (TBD).

methodsWe performed a content analysis of uncertainty-related posts on Facebook and Twitter managed by Team Telomere, a patient advocacy group for this rare disease. We assessed the frequency of uncertainty-related posts, uncertainty sources, issues, and management and associations between uncertainty and social support.

resultsAcross all TBD social media platforms, 45.98% (1269/2760) of posts were uncertainty related. Uncertainty-related posts authored by Team Telomere on Twitter focused on scientific (306/434, 70.5%) or personal (230/434, 53%) issues and reflected uncertainty arising from probability, ambiguity, or complexity. Uncertainty-related posts in conversations among patients and caregivers in the Facebook community group focused on scientific (429/511, 84%), personal (157/511, 30.7%), and practical (114/511, 22.3%) issues, many of which were related to prognostic unknowns. Both platforms suggested uncertainty management strategies that focused on information sharing and community building. Posts reflecting response-focused uncertainty management strategies (eg, emotional regulation) were more frequent on Twitter compared with the Facebook community group (χ

conclusionsAlthough uncertainty is a pervasive and multifactorial issue in TBDs, our findings suggest that the discussion of medical uncertainty on TBD social media is largely limited to brief exchanges about scientific, personal, or practical issues rather than ongoing supportive conversation. The nature of uncertainty-related conversations also varied by user group: patients and caregivers used social media primarily to discuss scientific uncertainties (eg, regarding prognosis), form social connections, or exchange advice on accessing and organizing medical care, whereas Team Telomere used social media to express scientific and personal issues of uncertainty and to address the emotional impact of uncertainty. The higher involvement of female parents on TBD social media suggests a potentially greater burden of uncertainty management among mothers compared with other groups. Further research is needed to understand the dynamics of social media engagement to manage medical uncertainty in the TBD community.

Indexed as

Dyskeratosis CongenitaSocial MediaFemaleHumansProbabilityRare DiseasesUncertaintydyskeratosis congenitamedical uncertaintysocial mediasocial supporttelomere biology disorder

Identifiers

PMID38224480
PMCPMC10825764
OpenAlexW4389103266

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.