Evidence map›Paper›PMID 39752188›Full record

ArticleJMIR human factors2024

Improving Social Media-Based Support Groups for the Rare Disease Community: Interview Study With Patients and Parents of Children with Rare and Undiagnosed Diseases.

Tom A Doyle, Samantha L Vershaw, Erin Conboy, Colin M E Halverson

Abstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Tom A DoyleCenter for Bioethics, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID 0000-0002-8565-0648
Samantha L VershawCenter for Bioethics, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID 0009-0004-8610-0885
Erin ConboyDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID 0000-0002-4831-6683
Colin M E HalversonCenter for Bioethics, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID 0000-0002-4205-7860

Funding

Improving Care for Rare Genetic Diseases: Patient-Provider Communication and Patient Validation in the Ehlers-Danlos SyndromesK01HG012408 · NHGRI · INDIANA UNIVERSITY INDIANAPOLIS · PI Colin Michael Egenberger Halverson · 2022 to 2026
$836k
NHGRI NIH HHS K01 HG012408
6 · The paper itself

Abstract

backgroundThe rarity that is inherent in rare disease (RD) often means that patients and parents of children with RDs feel uniquely isolated and therefore are unprepared or unsupported in their care. To overcome this isolation, many within the RD community turn to the internet, and social media groups in particular, to gather useful information about their RDs. While previous research has shown that social media support groups are helpful for those affected by RDs, it is unclear what these groups are particularly useful or helpful for patients and parents of children with RDs.

objectiveThis study aimed to identify what specific features of disease-related support groups (DRSGs) the RD community finds particularly useful or supportive and provide a set of recommendations to improve social media-based RD support groups based on this information.

methodsSemistructured qualitative interviews were performed with patients and parents of patients with RDs. Interview participants had to be at least 18 years of age at the time of the interview, be seen by a genetics specialist at a partner health care institution and be proficient in the English language. Social media use was not a prerequisite for participation, so interview participants ranged from extensive users of social media to those who chose to remain off all social media. All interviews were conducted by phone, recorded, and then transcribed. Interview transcripts were then coded using the 6 steps outlined by Braun and Clarke. Three researchers (TAD, SLV, and CMEH) performed initial coding. After this, the study team conducted a review of themes and all members of the team agreed upon a final analysis and presentation of data.

resultsWe conducted 31 interviews (mean age 40, SD 10.04 years; n=27, 87% were women; n=30, 97% were non-Hispanic White). Thematic analysis revealed that social media DRSG users identified the informational usefulness of these groups as being related to the gathering and sharing of specific information about an RD, clarification about the importance and meaning of certain symptoms, and obtaining insight into an RD's progression and prognosis. Participants also identified that DRSGs were useful sources of practical information, such as tips and tricks about managing RD-related issues and concerns. In addition, participants found DRSGs to be a useful space for sharing their disease-related stories but also highlighted a feeling of exhaustion from overexposure and overuse of DRSGs.

conclusionsThis study identifies the usefulness of DRSGs for the RD community and provides a set of recommendations to improve future instances of DRSGs. These recommendations can be used to create DRSGs that are less prone to splintering into other DRSGs, thus minimizing the risk of having important RD-related information unhelpfully dispersed amongst a multitude of support groups.

Indexed as

ParentsQualitative ResearchRare DiseasesSelf-Help GroupsSocial MediaAdultChildFemaleHumansInterviews as TopicMalePatientscollagen diseaseconnective tissue disorderscutis elasticaEhlers-Danlos syndromefibrillar collagengenetic disordergeneticshyperelasticityhypermobility of joints, inheritedpediatricpediatric rare diseaserare diseasesocial mediasupport groups

Identifiers

PMID39752188
PMCPMC11730222

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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.