Question · asked by 1 review
Any antimicrobial mouthwash and/or nasal spray (alone or in combination), at any concentration, delivered to healthcare workers, with or without the same intervention given to the patients with COVID-19 vs No treatment or saline or water: Changes in microbiome in oral cavity, nasal cavity, oro- or nasopharynx
- Population
- Healthcare workers (HCWs) treating patients with suspected or confirmed COVID-19 infection
- Intervention
- Any antimicrobial mouthwash and/or nasal spray (alone or in combination), at any concentration, delivered to healthcare workers, with or without the same intervention given to the patients with COVID-19
- Comparison
- No treatment or saline or water
- Outcome
- Changes in microbiome in oral cavity, nasal cavity, oro- or nasopharynx
The review found no eligible studies for this question.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Any antimicrobial mouthwash and/or nasal spray (alone or in combination), at any concentration, delivered to healthcare workers, with or without the same intervention given to the patients with COVID-19 vs No treatment or saline or water Changes in microbiome in oral cavity, nasal cavity, oro- or nasopharynx · Healthcare workers (HCWs) treating patients with suspected or confirmed COVID-19 infection The review found no eligible studies for this question. Use of antimicrobial mouthwashes (gargling) and nasal sprays by healthcare workers to protect them when… (2020) · Cochrane All outcomes | No data available (no included studies) | 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 |
|---|---|---|---|
| Use of antimicrobial mouthwashes (gargling) and nasal sprays by healthcare workers to protect them when treating patients with suspected… 2020 · Cochrane All outcomes | 2020-06 | Not listed | Not assessed |
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.