Question · asked by 1 review
Any method, procedure or policy to reduce contaminated aerosols in dental clinics vs Any other method, no treatment or combination of methods: Cost of the intervention
- Population
- Dental healthcare providers (dentist, dental surgery assistant, dental hygienist, dental technologist, dental laboratory staff, dental aide or dental trainee) and their patients undergoing a dental AGP
- Intervention
- Any method, procedure or policy to reduce contaminated aerosols in dental clinics
- Comparison
- Any other method, no treatment or combination of methods
- Outcome
- Cost of the intervention
The review found no eligible studies for this question.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Any method, procedure or policy to reduce contaminated aerosols in dental clinics vs Any other method, no treatment or combination of methods Costs for the interventions used · Dental healthcare providers (dentist, dental surgery assistant, dental hygienist, dental technologist, dental… The review found no eligible studies for this question. Interventions to reduce contaminated aerosols produced during dental procedures for preventing infectious… (2020) · Cochrane All outcomes | no estimate extracted | 0 studies | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions to reduce contaminated aerosols produced during dental procedures for preventing infectious diseases 2020 · Cochrane All outcomes | 2020-09 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Any method, procedure or policy to reduce contaminated aerosols in dental clinics vs Any other method or combination of methods · Dental staff (dentist, dental surgery assistant, dental hygienist, dental technologist,… · 0 reviews
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.