A qualitative study of the perceived effects of blue lights in washrooms on people who use injection drugs
Notice bibliographique
Résumé
BACKGROUND: Blue lights are sometimes placed in public washrooms to discourage injection drug use. Their effectiveness has been questioned and concerns raised that they are harmful but formal research on the issue is limited to a single study. We gathered perceptions of people who use injection drugs on the effects of blue lights with the aim of informing harm reduction practice. METHODS: We interviewed 18 people in two Canadian cities who currently or previously used injection drugs to better understand their perceptions of the rationale for and consequences of blue lights in public washrooms. RESULTS: Participants described a preference for private places to use injection drugs, but explained that the need for an immediate solution would often override other considerations. While public washrooms were in many cases not preferred, their accessibility and relative privacy appear to make them reasonable compromises in situations involving urgent injecting. Participants understood the aim of blue lights to be to deter drug use. The majority had attempted to inject in a blue-lit washroom. While there was general agreement that blue lights do make injecting more difficult, a small number of participants were entirely undeterred by them, and half would use a blue-lit washroom if they needed somewhere to inject urgently. Participants perceived that, by making veins less visible, blue lights make injecting more dangerous. By dispersing public injection drug use to places where it is more visible, they also make it more stigmatizing. Despite recognizing these harms, more than half of the participants were not opposed to the continued use of blue lights. CONCLUSIONS: Blue lights are unlikely to deter injection drugs use in public washrooms, and may increase drug use-related harms. Despite recognizing these negative effects, people who use injection drugs may be reluctant to advocate against their use. We attempt to reconcile this apparent contradiction by interpreting blue lights as a form of symbolic violence and suggest a parallel with other emancipatory movements for inspiration in advocating against this and other oppressive interventions.
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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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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.
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