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Enregistrement W4411753611 · doi:10.1093/humrep/deaf097.665

P-359 Patients’ experiences with elective egg freezing (EEF) consent processes: best practices and recommendations for improving informed consent

2025· article· en· W4411753611 sur OpenAlexaffabout
Katherine A. Green Hammond

Notice bibliographique

RevueHuman Reproduction · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics and Legal Issues in Pediatric Healthcare
Établissements canadiensToronto Metropolitan University
Organismes subventionnairesnon disponible
Mots-clésInformed consentMedicineFamily medicineAlternative medicinePathology

Résumé

récupéré en direct d'OpenAlex

Abstract Study question What are the consent processes for patients undergoing EEF at Canadian fertility clinics, and do these patients feel adequately informed through existing consent processes? Summary answer EEF consent processes rely on an unstandardized patchwork of sources. 18 EEF patients felt adequately informed; all patients thought that consent processes could be improved. What is known already The use of EEF is on the rise. Scholars have argued that the aggressive marketing of EEF, along with the fact that it is not medically necessary, necessitates a heightened standard for informed consent. In particular, scholars have argued that EEF patients need clear honest information that not only makes success rates clear but also provides patients with essential information about risks, costs, and options for the future uses of genetic material. Despite this, little to no research has evaluated EEF consent processes and EEF patients’ perceptions of these processes. This study sought to fill this gap. Study design, size, duration This study comprised of: (1) qualitative semi-structured interviews (average 37 minutes) with 27 participants, over the age of 18, who had undergone at least one cycle of EEF at a Canadian fertility clinic. Interviews occurred between April 2023 and September 2024. (2) Consent materials were collected from 11 Canadian fertility clinics. In February 2024 all Canadian fertility clinics were contacted by email with a request for samples of consent forms and accompanying materials. Participants/materials, setting, methods Average participant age, at time of freezing eggs, was 35 (range: 21-40). Interviews took place over Zoom and were recorded, transcribed and analyzed through NVivo. Consent materials came from clinics across Canada. In addition to the 11 consent forms, accompanying materials included information packages, brochures, online materials, and videos. All consent materials were analyzed by the principal investigator and a research assistant according to seven elements of ethical standards of disclosure. Main results and the role of chance Consent processes vary significantly from clinic to clinic and rely on an unstandardized patchwork of materials. Some consent materials are very thorough, but most did not adhere to minimum standards of disclosure. There were 8 areas that were recurringly mentioned by participants (5+) as areas where they did not feel as though they were given adequate information. These were: (1) administration of hormone injections, (2) logistics of the egg retrieval, (3) subsequent procedures to use frozen eggs (e.g. IVF), (4) emotional risks and inconveniences, (5) egg storage (cost and location) (6) success rates at the clinic where they pursued EEF, (7) options for any unused eggs, and (8) possibility to freeze embryos. In terms of how information was given, best practices noted by participants included: thorough meeting with the physician, opportunity to ask questions after initial meeting, inclusion of explanatory videos, online platforms, tutorials with a nurse, and complimentary fertility counseling. Problems with delivery of information for consent were: feeling rushed, no time to ask questions, questions unanswered, “barebones overview” of steps, and explanation (rather than demonstration) for hormonal injections. Limitations, reasons for caution Findings may be limited by the smaller sample size. Additionally, these findings stem from Canada and usefulness to other jurisdictions may be impacted, to some extent, by local laws, regulations, and guidelines pertaining to healthcare consent processes. Wider implications of the findings This study provides insight into what information EEF patients are seeking, i.e. what information EEF patients need to have given informed consent. It illustrates best practices for EEF consent processes and provides recommendations on how to optimize these processes to ensure informed consent. Trial registration number No

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,009
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,394
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,123
Tête enseignante GPT0,438
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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