Evidence map›Paper›PMID 37062887›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2023

Using social media listening to understand barriers to genomic medicine for those living with Ehlers-Danlos syndromes and hypermobility spectrum disorders.

Erika Kline, Amanda Leigh Garrett, Catherine Brownstein, Sonja Ziniel, Erica Payton, Aleah Goldin, Kathleen Hoffman, Judy Chandler, Shani Weber

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Social Listening as a Tool to Understand Nutrition-Related Information Needs: A Case Study in Inflammatory Bowel Disease.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Using social media listening to understand barriers to genomic medicine for those living with Ehlers-Danlos syndromes and hypermobility spectrum disorders.Health expectations : an international journal of public participation in health care and health policy · 2023
    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

9 authors at 4 institutions in 1 country.

Erika KlineInspire, Arlington, Virginia, USA.
Amanda Leigh GarrettInspire, Arlington, Virginia, USA.ORCID 0000-0001-5659-9874
Catherine BrownsteinDivision of Genetics and Genomics, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston Children's Hospital, Boston, Massachusetts, USA.
Sonja ZinielUniversity of Colorado School of Medicine, Department of Pediatrics, Section of Hospital Medicine, Children's Hospital Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Erica PaytonInspire, Arlington, Virginia, USA.ORCID 0000-0002-2912-9495
Aleah GoldinInspire, Arlington, Virginia, USA.
Kathleen HoffmanInspire, Arlington, Virginia, USA.
Judy ChandlerInspire, Arlington, Virginia, USA.
Shani WeberThe Ehlers-Danlos Society 1732, New York, New York, USA.
Inspire Institute · USBoston Children's Hospital · USChildren's Hospital Colorado · USEhlers-Danlos Society · US

Funding

Navigating Online Patient Experiences of Genomic Medicine: Identifying and Overcoming Obstacles for African American CommunitiesR21HG011802 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI BROWNSTEIN, CATHERINE ASTRID · 2021 to 2022
$611k
NHGRI NIH HHS National Institutes of Health (NIH) 1R21HG011802-0NHGRI NIH HHS R21 HG011802
6 · The paper itself

Abstract

introductionTechnological improvements alone have not led to the integration of genomic medicine across a broad range of diseases and populations. For genomic medicine to be successfully implemented across specialties and conditions, the challenges patients and caregivers experience need to be identified using a multi-faceted understanding of the context in which these obstacles occur and how they are experienced. Individuals affected by rare conditions, like Ehlers-Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD), express numerous challenges with accessing genomic medicine. Many patients living with rare diseases seek information and find comfort in online health communities.

methodsSocial media conversations facilitated through online health communities are windows into patients' and caregivers' authentic experiences. To date, no other study has examined genomic medicine barriers by analysing the content of social media posts, yet the novel methodological approach of social media listening permits the analysis of virtual, organic conversations about lived experiences. RESULTS/

conclusionsUsing a modified social-ecological model, this study found that social-structural and interpersonal barriers most frequently impede access to genomic medicine for patients and caregivers living with EDS and HSD. PATIENT OR PUBLIC CONTRIBUTION: Data were retrieved through social media conversations facilitated through publicly accessible health communities through Inspire, an online health community. Social media listening permits the analysis of virtual, organic conversations about lived experiences.

Indexed as

Ehlers-Danlos SyndromeSocial MediaGenomic MedicineHumansEhlers-Danlos syndromesgenomic medicinehealth care accesshypermobility spectrum disorderssocial media listening

Identifiers

PMID37062887
PMCPMC10349242
OpenAlexW4366084073

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.