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Enregistrement W2760937483 · doi:10.47339/ephj.2017.89

The public health impact of infection control, sterilization and regulation in tattooing

2017· article· en· W2760937483 sur OpenAlexvenueaboutno aff
Kat Hansen, Environmental Health BCIT School of Health Sciences, Helen Heacock, Angela Eykelbosh

Notice bibliographique

RevueBCIT Environmental Public Health Journal · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueTattoo and Body Piercing Complications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRespondentSterilization (economics)MedicineInfection controlCertificationFamily medicineBusinessSurgeryLawPolitical science

Résumé

récupéré en direct d'OpenAlex


 Background: The purpose of this study was to look at infection control and sterilization procedures in relation to invasive services performed at Personal Service Establishments (PSEs) in British Columbia. The objective was to collect data on the opinions of regulation and infection control practices of persons currently working in the industries of: tattooing, micro-blading and permanent make-up. Method: Data was collected from a survey that was created and distributed online through Survey Monkey. A list of 261 personal service establishments throughout Vancouver Costal Health and Fraser Health were called and/or e-mailed and asked to participate in the online survey. Results and Analyses: Among the 261 PSEs contacted, 30 agreed to participate. They were asked about the regulation of their profession and their standard practices for infection control and sterilization. 3% of the respondent’s primary service was permanent make-up, 7% micro-blading, 7% piercing and 80% was tattooing. The majority of opinions on regulation were divided where 50% felt the industry was under regulated and 40% felt it was adequately regulated. 90% of the respondents agreed that formal training should be required before being allowed to tattoo and 43% of the respondents also agreed that the use of an autoclave should require certification. For infection control/sterilization procedures 100% of shops use one-time use (disposable) needles and ink caps, 80% use disposable tubes, 93% use cord and machine covers and 90% use disposable razors. 63% of the respondents do not use autoclaves because they use disposable items and therefore do not need to clean and sterilize re-usable equipment. The data compared in chi-squared analysis, age and formal training had a p-value of 0.01460 which indicates that there is an association between age and the belief that formal training should be required for those who practice tattooing. Those under 40 were more likely to indicate that formal training should be required. Conclusion: With a low response rate for micro-blading and permanent make-up it is not feasible to compare or contrast opinions and/or practices between the three services. The tattooing industry had the highest response rate and can be looked at in more detail. The information collected on tattooing could be used to develop a course to improve the safety of PSE’s. EHO knowledge in inspecting food service establishments is very high as a system has been put into place that ensures effective inspections. As well, the FOODSAFE program teaches safe practices to those who work in the kitchen. The growing popularity of PSEs now gives EHOs the opportunity to focus on creating safe work environments through the implementation of a training course and possibly altering the way inspections of each different PSE are conducted. Results of this study, along with other Canadian published data, should be considered when developing standardized training and education in the industry where invasive procedures are used.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,195
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0040,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,074
Tête enseignante GPT0,380
Écart entre enseignants0,307 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission2
Résumé présentoui

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