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. 2017 Nov 14;2017(11):CD009740. doi: 10.1002/14651858.CD009740.pub3

Summary of findings 13. (ITS) Legislation compared to no legislation for preventing percutaneous exposure injuries caused by needles in healthcare personnel.

Legislation compared to no legislation ITS for preventing percutaneous exposure injuries caused by needles in healthcare personnel
Patient or population: preventing percutaneous exposure injuries caused by needles in healthcare personnel
 Setting: healthcare
 Intervention: Legislation
 Comparison: no legislation ITS
Outcomes Impact № of participants
 (studies) Quality of the evidence
 (GRADE)
NSI‐ change in level ‐ Interruption Effect size ‐6.15; confidence interval ‐7.76 to ‐4.54. (2 observational studies) ⊕⊕⊕⊝
 MODERATE 1
NSI‐ change in level ‐ Gradual introduction Effect size 0.80; confidence interval 0.41 to 1.19. (1 observational study) ⊕⊕⊝⊝
 LOW 1
NSI‐ Change in slope ‐ Interruption Effect size ‐0.94; confidence interval ‐1.97 to 0.09 (2 observational studies) ⊕⊝⊝⊝
 VERY LOW 1 2
NSI‐ Change in slope ‐ Gradual introduction Effect size 0.50; confidence interval 0.36 to 0.64 (1 observational study) ⊕⊕⊝⊝
 LOW 1
Interpretation of effect size: small (0‐0.2) medium (0.2‐0.5) large (0.6 and above), a effect size with negative sign implies decrease and positive sign implies increase of effect.
GRADE Working Group grades of evidenceHigh quality: We are very confident that the true effect lies close to that of the estimate of the effect
 Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
 Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
 Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded the quality of evidence by one level due to risk of bias (dataset did not represent the whole sample).
 2 We downgraded the quality of evidence by one level due to imprecision (wide confidence interval).