NEW Introducing #multicomparison
Health #guidelines should consider *multiple* interventions , and provide the most useful recommendation among them https://www.jclinepi.com/article/S0895-4356(20)31155-0/fulltext cc @GRADE_WG @GRADEproGDT @USGRADEnet @JBI_GRADE @schunemann_mac @GriLeont
Health #guidelines should consider *multiple* interventions , and provide the most useful recommendation among them https://www.jclinepi.com/article/S0895-4356(20)31155-0/fulltext cc @GRADE_WG @GRADEproGDT @USGRADEnet @JBI_GRADE @schunemann_mac @GriLeont
Historically, guidelines use a pairwise comparison vs; maybe others too: vs , vs. This can leave the user of a guideline confused as to which intervention to actually use at the end of the day.
Network meta-analysis has helped to compare the harms and benefits across multiple interventions; but there are a lot of other important considerations (Evidence-to-Decision framework)
- Values and preferences
- Cost & cost-effectiveness
- Equity
- Acceptability
- Feasibility
- Values and preferences
- Cost & cost-effectiveness
- Equity
- Acceptability
- Feasibility
Now we've proposed a method to consider all these factors across multiple interventions and created a @GRADEproGDT software solution to make it easy for guideline developers. @artur_nowak @evidence_prime see: http://gradepro.org
Finally, we've also validated the approach in multiple guidelines from @EuropeanCommiss and @WHO, including this @WHO guideline on tuberculosis infection prevention and control #EndTB https://www.who.int/tb/features_archive/WHO-issues-updated-recommendations-TB-Infection/en/