Evidence map›Paper›PMID 40115594›Full record

ArticleGenetics in medicine open2025

Rare disease narratives on social media: A content analysis.

Hannah J Park, Cassidy J Scott, Hadley Stevens Smith, Monica H Wojcik

Abstract read
In one paragraph

Article in Genetics in medicine open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Hannah J ParkDivision of Newborn Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA.
Cassidy J ScottDivision of Newborn Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA.
Hadley Stevens SmithDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston MA.
Monica H WojcikDivision of Newborn Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Social media provides an opportunity for the expression of people with rare conditions and may provide valuable insight into lived experiences to inform genomic care. Our objective was to describe the nature and content of rare disease video narratives on social media. Methods: We reviewed content on a short-video-format social media website containing the tags of #raredisease, #raredisorder, or #raredisorders. Two authors independently coded videos for content matter and conducted thematic analysis using a mixed deductive-inductive approach. The demographic characteristics of the content and names of specific rare conditions were documented when available, as were the characteristics of the videos themselves. Results: We reviewed 500 videos created by 299 unique users and identified 6 major themes: Spreading Awareness, Guidance for Others, Intimate View into Life, Interactions with Health care, Responses, and Requests for Support. The video narrators were typically family members or caregivers (50.2%) or the person affected (46.6%); a small percentage were health care professionals (2.2%). People with rare diseases in the video comprised both children (40.6%) and adults (52.6%). A total of 189 rare conditions were mentioned, the most common being Ehler-Danlos syndrome (7.8%), Sanfilippo syndrome (1.8%), and narcolepsy (1.8%). Conclusion: Our data suggest that video-format social media allows community building among people affected by rare conditions. Insights from narratives expressed in this format may contribute to a better understanding of medical experiences in the context of daily life, both positive and negative, fostering empathy and leading to improvements in genomic medicine practice.

Indexed as

GeneticsGenomicsNarrativeRare diseaseSocial media

Identifiers

PMID40115594
PMCPMC11925512

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LicenceCC BY-NC-ND
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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.