Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia
Notice bibliographique
Résumé
Abstract Background We recognized a paucity of accessible, evidence-based, empowering patient-centred resources for those with endometriosis-associated dyspareunia. Affecting more than 50% of people with endometriosis, dyspareunia can significantly impact relationships, chronic pain and the ability to have a family. We aimed to develop a patient-centred educational website for those affected by endometriosis-associated dyspareunia. Methods To develop a functional and meaningful website for endometriosis-associated dyspareunia, we utilized a Knowledge to Action framework, supplemented with a patient-centred research design and technology-enabled knowledge translation. Our patient partners influenced the direction and scope of the project, provided critical feedback throughout the development process, and approved website revisions prior to launch. The website was developed in five phases; (1) needs assessment interviews and focus groups with key stakeholders, (2) landscape analysis of pre-existing websites, (3) development, (4) usability testing and qualitative interviews, and (5) revisions and launch. Results Phase 1 and 2 emphasized a need for comprehensive yet plain language explanations of pain mechanisms and strategies for pain management. Rigorous consultation with key stakeholders informed the creation of the preliminary website in phase 3. Usability testing in phase 4 identified five main categories of usability problems, most of which were considered minor. Phase 4 qualitative interviews identified users’ overall impressions of the preliminary website, including that the website could help people understand their pain and describe their pain to partners and healthcare providers, as well as feel empowered to seek healthcare and validated in their experiences. User suggestions, combined with usability testing, informed revisions in phase 5. Conclusion We developed an educational website for endometriosis-associated painful sex where people can find evidence-based etiologies for pain, pain management options, and actionable resources. Based on the data collected through qualitative interviews with patients, this website can potentially empower people to seek health care. The strength of the website development approach used was the inclusion of qualitative user insights in addition to the commonly completed user tests. The patient interviews provided insights into the potential impact of the website and, thus, ensured that we not only created a functional website that meets end users’ needs, but a website that is also meaningful to those affected by this condition.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 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 tête enseignante, 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 ».