Personalised risk communication vs general risk information: Informed decision ‐ Numerical risk and categorised risk combined MMIC1
Personalised risk communication leads to higher informed decision ‐ Numerical risk and categorised risk combined MMIC1 compared with general risk information (high certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Personalised risk communication vs general risk information Informed decision ‐ Numerical risk and categorised risk combined MMIC1 · patients with informed decision making about taking screening tests Personalised risk communication leads to higher informed decision ‐ Numerical risk and categorised risk combined MMIC1 compared with general risk information (high certainty). Personalised risk communication for informed decision making about taking screening tests (2013) · Cochrane Headline outcomes only | OR 3.65 [2.13, 6.23] | 3 studies · 2444 participants | High |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Personalised risk communication for informed decision making about taking screening tests 2013 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not 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.