Certainty of evidence and intervention's benefits and harms are key determinants of guidelines' recommendations
Related Experiment Video
Updated: Nov 15, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Benjamin Djulbegovic1, Iztok Hozo2, Shelly-Anne Li3
1Beckman Research Institute, Department of Computational & Quantitative Medicine, City of Hope, Duarte, CA; Division of Health Analytics, Duarte, CA; Evidence-based Medicine and Comparative Effectiveness Research, Duarte, CA.
Objective:
Many factors are postulated to affect guidelines developments. We set out to identify the key determinants.
Study Design And Setting:
a) Web-based survey of 12 panels of 153 "voting" members who issued 2941 recommendations; b) qualitative analysis of 13 panels of 311 attendees (panel members, systematic review teams and observers).
Results:
Compared with "no recommendations", when intervention's benefit outweigh harms (BH-balance), probability of issuing strong recommendations in favor of intervention was 0.22 (95%CI: 0.08 to 0.36) when certainty of evidence (CoE) was very low; 0.5 (95%CI:0.36 to 0.63) when low; 0.74 (95%CI 0.61 to 0.87) when moderate and 0.85 (95%CI:0.71 to 1.00) when high. No other postulated factor significantly affected recommendations. The findings are consistent with a J- curve model when recommendations are issued in favor but not against an intervention. Panelists often changed their judgments as a result of the meeting discussion (67% for CoE to 92% for balance between benefits and harms). The panels spent over 50% of their time debating CoE; the chairs and co-chairs dominated discussion.
Conclusions:
CoE and BH-balance are key determinants of recommendations in favor of an intervention. Chairs and co-chairs dominate discussion. Panelists often change their judgments as a result of panel deliberation.
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