Question · asked by 1 review

Hearing loss prevention programme vs audiometric testing (hearing loss): Hearing loss STS ≥ 10 dB hearing loss average over 2, 3, 4 kHz in either ear

Hearing loss prevention programme showed no clear difference in hearing loss STS ≥ 10 dB loss average over 2, 3, 4 kHz in either ear compared with audiometric testing (hearing loss) (moderate certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Hearing loss prevention programme vs audiometric testing (hearing loss)
Hearing loss STS ≥ 10 dB loss average over 2, 3, 4 kHz in either ear · agricultural students without hearing loss
Hearing loss prevention programme showed no clear difference in hearing loss STS ≥ 10 dB loss average over 2, 3, 4 kHz in either ear compared with audiometric testing (hearing loss) (moderate certainty).
Interventions to prevent occupational noise‐induced hearing loss (2017) · Cochrane Headline outcomes only
OR 0.85 [0.29, 2.44]1 study · 687 participantsModerate
Hearing loss prevention programme vs audiometric testing (hearing loss)
Hearing loss STS ≥ 10 dB hearing loss average over 2, 3, 4 kHz in either ear · agricultural students without hearing loss
Hearing loss prevention programme showed no clear difference in hearing loss STS ≥ 10 dB hearing loss average over 2, 3, 4 kHz in… compared with audiometric testing (hearing loss) (moderate certainty).
Interventions to prevent occupational noise‐induced hearing loss (2017) · Cochrane Headline outcomes only
OR 0.94 [0.46, 1.91]1 study · 355 participantsModerate

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Interventions to prevent occupational noise‐induced hearing loss
2017 · 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.