Family-Centered Sexual Health Intervention to Promote Cervical Cancer Screening Uptake Among Low-income Rural Women in India: A Community-Based Protocol study (Preprint)
Notice bibliographique
Résumé
BACKGROUND Human papillomavirus (HPV) is the primary cause of cervical cancer, which is preventable through screening and early treatment. The Papanicolaou (Pap) test and visual inspection with acetic acid (VIA), traditionally performed at the clinical setting, have been used effectively to screen for cervical cancer and pre-cancerous changes, and reduce cervical cancer mortality in high-income countries for many decades. However, these screening methods are not easily accessible to women living in low- and middle- income countries (LMIC), especially women living in rural areas. OBJECTIVE Preventing Cervical Cancer in India through Self-Sampling (PCCIS) is a community-based family-centered research project that aims to reduce avoidable cervical cancer disparities in rural area in India. The project will use HPV self-sampling, supported by a sexual health literacy intervention to increase rural women’s participation in cervical cancer screening. The objectives are to determine the effectiveness of this program in: (a) increasing sexual health literacy; (b) reducing gendered stigma of HPV and cervical cancer; (c) promoting cervical cancer screening using HPV self-sampling. METHODS We will recruit 120 women aged 30-69, who are under or never screened (UNS) for cervical cancer along with 120 supportive male relatives or friends from 3 impoverished rural / tribal villages in Palghar district in the state of Maharashtra, India. Participants will attend gender-specific sexual health education (SHE) followed by a Movie Matinee. Data will be collected though an interviewer-administered questionnaire before and after SHE. The questionnaire will include items on social demographics, medical history, attitudes, sexual health stigma, cervical cancer knowledge, and screening practices. Women will self-select whether to use HPV self-sampling. Those who do not may or may not undergo Pap test/VIA. Participants’ views regarding barriers and facilitators and suggestions to improve access and uptake will also be elicited. RESULTS PCCIS was funded in January 2020 for 15 months. Due to the COVID19 pandemic, the project was extended by one year. The protocol was approved by the research ethics boards of Ryerson University (REB 2020-104) and Tata Memorial Center (OIEC/3786/2021 /00003). Study outcome measures will include changes in knowledge/attitudes about cervical cancer screening, proportion of participants who self-select into each cohort, proportion of positive test result in each cohort- and proportion of participants with confirmed cervical cancer. Women’s experiences related to barriers and facilitators associated with the screening uptake will be captured. CONCLUSIONS This multi-faceted work could lead to reduced cervical cancer mortality and morbidity, and increased community capacity in sexual health promotion and cervical cancer prevention. Insights and lessons learned from this project can be used to inform the adaptation and scale-up of HPV self-sampling among women across India and in other countries, promote collective commitment to family-centred wellness, and support women to make healthful, personalized cervical screening decisions. CLINICALTRIAL Not Applicable
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 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 | 0,005 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,001 |
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 ».