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Record W2906631411 · doi:10.47339/ephj.2018.56

Biological hazards associated with microblading and evaluation of its infection control procedures and wound care

2018· article· en· W2906631411 on OpenAlexvenueno aff
Emily Wong, Environmental Health BCIT School of Health Sciences, Helen Heacock

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTattoo and Body Piercing Complications
Canadian institutionsnot available
Fundersnot available
KeywordsCertificateInfection controlPersonal protective equipmentMedicineDemographicsWound careFamily medicineMedical emergencySurgeryPathologyCoronavirus disease 2019 (COVID-19)Demography

Abstract

fetched live from OpenAlex

Background: Microblading is emerging as one of the fastest growing beauty trends, appearing in tattoo shops, hair salons, and even in private home studios. The procedure uses a tool with single blade to penetrate the upper layer of the dermis and deposit semi-permanent pigments to mimic hair-like strokes. This study compares the risks of microblading to those in tattooing and analyzes the similarities in order to determine the biological hazards associated with microblading. Currently, there is a lack of knowledge on microblading practices specifically, and the purpose of this study was to evaluate the level of infection control knowledge and practices in place, as well as the attitudes towards regulations in British Columbia. Method: Self-administered electronic surveys created on Google Forms were distributed to microblading establishments in B.C. through email. The survey assessed the knowledge, attitudes, and practices of microbladers in B.C. through a series of questions regarding demographics, infection control, and wound care. A list of 130 microblading establishments were contacted and asked to participate in the online survey. Results: Among the 130 microblading establishments contacted, 41 agreed to participate. The majority of microbladers had a college certificate or diploma, 1-5 years of experience, and have taken a bloodborne pathogen course. Over 31% of the participants operated both in microblading as well as permanent makeup, 27% operated solely as microbladers, and 22% of the participants had both microblading and spa operations. The most prevalent form of training was a microblading course that lasted a week or longer, and 78% of the participants felt that there should be more training required for becoming a microblader. There was no association between the years of experience and level of pathogen knowledge according to the Chi square test (p=0.78), and no association between the attitude towards regulations regarding microblading and the number of infection control measures in place (p=0.38). However, there was a statistically significant association between taking a bloodborne pathogen course and knowing the correct bloodborne pathogens of concern. Conclusion: Microbladers in British Columbia are fairly new and thus only have 1-5 years of experience, and minimal training of week-long microblading courses. A majority of them feel that more training or certification should be required and that there should be more regulations regarding microblading. The results indicated that education and training provide the most knowledge rather than years of experience. This suggests that health authorities should focus on providing more access to education for microblading, such as offering a TattooSafe program for tattooing microblading, and permanent makeup, similar to FoodSafe, and developing more material to inform microblading fact sheets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.347
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2018
Admission routes1
Has abstractyes

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