Professional societies, like many other organizations around the world, have recognized the need to use more rigorous processes
to ensure that healthcare recommendations are informed by the best available research evidence. This is the 11th of a series
of 14 articles that methodologists and researchers from around the world prepared to advise guideline developers for respiratory
and other diseases on how to achieve this goal. For this article, we developed five key questions and updated a review of
the literature on moving from evidence to recommendations.We addressed the following specific questions.What is the strength of a recommendation and what determines the strength? What
are the implications of strong and weak recommendations for patients, clinicians, and policy makers? Should guideline panels
make recommendations in the face of very low-quality evidence? Under which circumstances should guideline panels make research
recommendations? How should recommendations be formulated and presented? We searched PubMed and other databases of methodological
studies for existing systematic reviews and relevant methodological research. We did not conduct systematic reviews ourselves.
Our conclusions are based on available evidence, consideration of what guideline developers are doing, and pre- and postworkshop
discussions.The strength of a recommendation reflects the extent to which guideline developers can, across the range of patients for whom
the recommendations are intended, be confident that the desirable effects of following the recommendation outweigh the undesirable
effects. Four factors influence the strength of a recommendation: the quality of evidence supporting the recommendation, the
balance between desirable and undesirable effects, the uncertainty or variability of patient values and preferences, and costs.
Strong and weak (also called "conditional") recommendations have distinct implications for patients, clinicians, and policy
makers. Adherence to strong recommendations or, in the case of weak (conditional) recommendations, documentation of discussion
or shared decision making with a patient, might be used as quality measures or performance indicators. Clinicians desire guidance
regardless of the quality of the underlying evidence. Very low-quality evidence should ideally result in either appropriately
labeled recommendations (i.e., as based on very low-quality evidence) or a statement that the guideline panel did not reach
consensus on the recommendation due to the lack of confidence in the effect estimates. However, guideline panels often have
more resources, time, and information than practicing clinicians. Therefore, they may be in a position to use their best judgments
to make recommendations even when there is very low-quality evidence, although some guideline developers disagree with this
approach and prefer a general approach of not making recommendations in the face of very low-quality evidence. Guideline panels
should consider making research recommendations when there is important uncertainty about the desirable and undesirable effects
of an intervention, further research could reduce that uncertainty, and the potential benefits and savings of reducing the
uncertainty outweigh the potential harms of not making the research recommendation. Recommendations for additional research
should be as precise and specific as possible.