Making Endometriosis Visible

Jasmine Heath Hearn, Whadcock, Ian, Arts And Humanities Research Council
2025 · doi:10.23634/mmu.00638193 · W6907395790
dataset OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex View at publisher
⚙ AI-generated deep summary by claude@2026-06, 2026-06-14 · read from full text ⓘ

This unpublished dataset/project by Hearn and Whadcock (2025) examined how to improve communication about endometriosis pain by combining health psychology, linguistics, and art/design. Using public engagement workshops, the authors generated visual artefacts of participants’ endometriosis pain that feed into a communication toolkit intended to address long diagnosis delays and pain normalization; the abstract frames a reported UK prevalence of 1 in 10 women and an average 8-year diagnostic timeline. A major limitation explicitly implied by the description is that the work focuses on creating visual representations and a communication toolkit rather than presenting new clinical diagnostic or efficacy outcomes. This paper is centrally about endometriosis — it presents a dataset of visual representations created through workshops to make endometriosis pain more visible and communicable.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Endometriosis is a chronic condition where tissue similar to the uterine lining grows outside the uterus, affecting 1 in 10 women in the UK. Symptoms include painful periods, chronic pelvic pain, and difficulty getting pregnant. Diagnosis often takes 8 years due to communication issues and pain normalisation. This project aims to improve communication about endometriosis pain through a novel blend of health psychology, linguistics, and art and design. By engaging the public with endometriosis in a series of workshops to create visual artefacts of pain, we developed a toolkit to support effective communication and reduce diagnosis delays. The images within this dataset underpin that toolkit, and constitute visual representations of our participants’ endometriosis.
Full text 1,134 characters · extracted from oa-html · click to expand
Hearn, Jasmine ORCID: https://orcid.org/0000-0001-5988-5278 and Whadcock, Ian (2025) Making Endometriosis Visible. [Dataset] (Unpublished) | Full Archive Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (241MB) | Abstract Endometriosis is a chronic condition where tissue similar to the uterine lining grows outside the uterus, affecting 1 in 10 women in the UK. Symptoms include painful periods, chronic pelvic pain, and difficulty getting pregnant. Diagnosis often takes 8 years due to communication issues and pain normalisation. This project aims to improve communication about endometriosis pain through a novel blend of health psychology, linguistics, and art and design. By engaging the public with endometriosis in a series of workshops to create visual artefacts of pain, we developed a toolkit to support effective communication and reduce diagnosis delays. The images within this dataset underpin that toolkit, and constitute visual representations of our participants’ endometriosis. Impact and Reach Statistics Additional statistics for this dataset are available via IRStats2.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-html ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosischronic_pelvic_pain

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-05-10T10:53:28.680670+00:00
License: CC0 · commercial use OK