P184 Health inequalities and gender - life with axial spondyloarthritis (axial SpA)
Notice bibliographique
Résumé
Abstract Background/Aims Previous studies have indicated that there are inequalities for women in the diagnosis and management of axial SpA. LQBTQ+ people experience significant inequalities in healthcare more generally in terms of healthcare service provision, health outcomes and risk factors, and in comparison to cis-heterosexual populations, greater incidence of poor mental health, risk of suicide and self-harm.The present study sought to understand more deeply people’s clinical and personal experiences through the lens of sex, gender and gender identity, addressing the following areas: Living with axial SpA (health inequality through a gendered lens) Length to diagnosis and experience of seeking diagnosis of axial SpA Discrimination, ignorance and stigma - gender identity, sexuality (LGBTQ+) Other impacts Methods This used a combination of online focus groups and interviews with participants initially recruited using social media and email channels. 25 individuals were interviewed: 10 females, 11 males and 4 individuals who identified as gender diverse. Within the sample we interviewed 9 individuals from minoritised communities. Participants’ ages ranged from 23 - 59. We explored participants’ experience of their diagnosis of axial SpA with a focus on length of time to diagnosis and living with axial SpA and its impact on the individual. For each topic, we asked participants about their experiences with questions that highlighted the influence or impact of gender on those experiences. Results All participants: Felt age had played a role in their delayed diagnosis. Found that having supportive health care professionals who listened to their concerns made a significant difference to their confidence in managing their axial SpA. Women: Had a delayed diagnosis due to misconceptions about axial SpA being ‘a man’s disease,’ especially if they didn’t have the typical low back pain, often being misdiagnosed.Didn’t feel they could discuss issues such as fertility, pregnancy and menopause. Found being considered ‘the nurturer’ for children presented emotional and physical difficulties. Men: Found gender stereotyping had impacted on their diagnosis, with manual labour or lifestyle symptoms often being blamed for symptoms. Were concerned about their abilities to be ‘an active dad.’ Are more likely to struggle on with a ‘stiff upper lip’. Gender diverse people: Were less open about discussing their experiences. Did not feel comfortable revealing their gender status to their health care professionals. Found NHS use of gendered pronouns frustrating and distressing. Conclusion More gender specific research is needed from both a clinical and non-clinical perspective, to enable health care professionals to deliver the best possible care. More research is needed amongst the LGBTQ+ community who were reticent to discuss their experiences in comparison to cis-het participants. The psychological impact of living with axial SpA across genders should be investigated further. Health care professionals should be adequately trained to understand gender diversity. Disclosure J.M. Hamilton: None. A. Drury: None. A. Hardy: None. D. Webb: None.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».