Self-Screening for Cervical Cancer Offered through a Digital Platform in a Region of British Columbia with Lower Screening Rates
Notice bibliographique
Résumé
Cervical cancer is highly preventable through vaccination, early detection, and treatment, yet is the fourth most common cancer globally. HPV testing is superior to cytology for the detection of cervical pre-cancer, and jurisdictions around the world are implementing HPV primary screening, which offers the opportunity for self-screening, an important self-care intervention. Digital health solutions are also increasingly important components of self-care. In this study, we assessed the acceptability and completion of self-screening for cervical cancer offered through a digital platform within a low screening uptake region of British Columbia. The primary objective of this study was to evaluate the acceptability of self-screening for cervical cancer offered through a digital platform as measured by return rates of self-screening kits. Patients due or overdue for cervix screening were invited to participate. Eligible participants registered online to receive a self-screening kit, which included a device for vaginal self-screening, instructions, and a return envelope, sent to their home. After self-screening using the vaginal device, HPV testing was conducted. HPV-negative participants were returned to routine screening, and HPV-positive participants were recommended for cytology or colposcopy. Attendance rates at follow-up were evaluated. Participants were invited to complete an acceptability survey. From April 2019 to December 2023, 283 participants were sent kits, with 207 kits returned for a completion rate of 73%. Of valid samples (n = 202), 15 were HPV positive, and 93% attended follow-up care. Most respondents found the CervixCheck website easy to use, informative, and secure and were satisfied with receiving their results online. CervixCheck had a high completion rate among participants who were sent a self-screening kit. High compliance with recommended follow-up and high acceptability of self-screening for cervical cancer was observed. Most participants indicated they would self-screen again in the future. Innovative approaches to cervical screening, including self-screening and the use of digital health interventions, are ways to enhance equity and improve uptake of cervical screening.
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 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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».