Question · asked by 1 review

Procedures: donning and doffing with instructions vs No special instructions (control): People with one or more errors

It is very uncertain whether procedures: donning and doffing with instructions changes people with one or more errors compared with without instruction (very low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Procedures: donning and doffing with instructions vs without instruction
People with one or more errors · healthcare workers
It is very uncertain whether procedures: donning and doffing with instructions changes people with one or more errors compared with without instruction (very low certainty).
Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body… (2020) · Cochrane Headline outcomes onlyearlier version CD011621.PUB4, superseded
RR 0.31 [0.11, 0.93]1 study · 120 participantsVery low
Procedures: donning and doffing with instructions vs without instruction
People with one or more errors · healthcare workers
It is very uncertain whether procedures: donning and doffing with instructions changes people with one or more errors compared with without instruction (very low certainty).
Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body… (2020) · Cochrane Headline outcomes only
RR 0.31 [0.11, 0.93]1 study · 120 participantsVery low

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body fluids in healthcare staff
2020 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

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.