Understanding Intimate Health in Online Spaces Among Women in Aotearoa New Zealand: Protocol for a Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Social media has become an important tool facilitating communication and connection in a postpandemic landscape. This context has prompted an increase in the sharing of information and disinformation about general health. This provides an opportunity to seek information about and support for intimate (ie, sexual and reproductive) health, with the added assurance of maintaining a degree of anonymity in a socially taboo context. OBJECTIVE: The aim of this study is to better understand how women in Aotearoa New Zealand use social media to access sexual and reproductive health information and support. Engagement with stakeholders and community groups will be undertaken throughout the study to analyze the findings and present solutions to identified issues. METHODS: This online survey is the first stage in a study which uses a mixed methods approach involving the collection of qualitative and quantitative data through an anonymous survey on the Qualtrics platform. Recruitment occurred through advertising on the University of Auckland | Waipapa Taumata Rau and University of Waikato social media accounts and physical posters in various locations nationwide. These posters prioritized recruitment of groups that are often underrepresented. This study will also present the preliminary results to stakeholders, prioritizing whakawhanaungatanga (building relationships) and manaakitanga (kindness and respect for others, emphasizing responsibility and reciprocity) in the co-designing of future research aims. Subsequent analysis of all the above data forms will be performed using reflexive thematic coding analysis, using codes derived from both the literature and emergent from the data. Results will be disseminated in academic, participant, and stakeholder circles. The analysis plan involves research assistants and investigators working collaboratively and independently, progressively comparing codebooks and results to reiteratively code for the eventual thematic results. RESULTS: Ethical approval to conduct this study was granted by the University of Auckland ethical review board on June 28, 2023, and an amendment to change survey questions and expand recruitment was approved on July 1, 2024. Online data collection closed in February 2025, and focus groups and interviews are scheduled to begin meeting in August 2025 with stakeholder engagement occurring throughout. Compensation was not provided for completion of the online survey, but will be provided (NZ $50 [US $28.93] vouchers) for focus group and interview participants when stage 3 of the project is undertaken. CONCLUSIONS: From early data analysis, we anticipate survey results will confirm our hypothesis that social media communities can provide increased access to information and support for women who have had or continue to have limited access to intimate health care due to a number of factors, including social (embarrassment), structural (location), or cultural (lack of health care provider training) factors. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65288.
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 | 0,081 | 0,056 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,004 |
| Méta-épidémiologie (sens large) | 0,005 | 0,004 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,007 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,065 | 0,013 |
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 ».