Technology-Related Trauma in Sexual and Reproductive Health Digital Technologies: Grounded Theory Study
Notice bibliographique
Résumé
Background: Digital health technologies are increasingly used as complementary and alternative means of seeking sexual and reproductive health services. These platforms now play a critical role in facilitating services such as contraception counseling, abortion care, sexually transmitted infection testing and treatment, and fertility-related support, particularly for individuals who face barriers to in-person care. Despite their increasing prevalence, there is an emerging concern that such platforms could inadvertently trigger or perpetuate trauma among end-user patients. This risk is particularly salient for individuals from equity-deserving populations who already navigate stigma, discrimination, or prior traumatic experiences in health care settings. Objective: This study aimed to develop a theoretical account of how digital health technologies can cause or perpetuate emotional trauma among people who seek technology-based sexual and reproductive health services. Methods: We used the Charmaz constructivist grounded theory approach by conducting interviews with 25 participants who have used government and other regulated digital health platforms (ie, web-based platforms and mHealth apps) to access sexual and reproductive health information or services including sexually transmitted infection testing, contraception, and abortion. Data analysis occurred alongside data collection, and data were analyzed inductively using open, axial, and theoretical coding. Results: We developed an explanatory model that shows that technology-related harm can occur in two main ways: (1) digital platform design features (ie, navigation challenges, data and security breaches, and inappropriate display of content) and (2) digital platform-related interpersonal interactions (targeted campaigns and depersonalized digital health interactions). While these activities can cause harm to users in general, they are more likely to result in emotional trauma for individuals with prior traumatic experiences and in emotional discomfort for those without such histories. Conclusions: Web-based platforms provide opportunities for advancing access to sexual and reproductive health and services. At the same time, these technologies can also serve as conduits through which trauma can be triggered, perpetuated, and exacerbated. While technology-related trauma could occur unintentionally via design choices, some activities, including technology-related interactions, could trigger or perpetuate trauma among end users. To mitigate the risks, both technology developers (particularly designers) and health providers should consider design choices and implementation strategies that not only prevent trauma but also promote users' emotional well-being.
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 | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».