### Metric indices

There are three groups of metric indices for benefit-risk assessment: (1) threshold indices, (2) health indices, and (3) trade-off indices.

#### 1. Threshold indices

This is a group of general indices that are used in benefit-risk assessments to quantify benefits and risks. These indices are derived from mathematical and statistical manipulations of probabilities and/or utilities, and are generally used as thresholds (cut-points) when assessing benefit-risk balance or in deciding best treatment options. These indices are either not designed to or are not formally used to trade-off benefits and risks.

#### 2. Health utility indices

A particular group of specialist trade-off metric indices are the health utility indices. Health utility indices are established indices which are specific to health-related outcomes and usually have been validated internally and externally for use under certain conditions.

#### 3. Trade-off indices

Another set of metric indices take the idea further by proposing a formal method to trade off benefits and risks. There is a fine line between metric indices in this group and the threshold indices.[link to threshold indices section] However, the quantitative trade-off indices integrate benefits and risks into a single metric index which represent the value of the trade-off.

#### 4. Operational characteristics

X = required or a feature, O = optional, U_ρ="utility threshold" , U_w="weighted utility" , ψ="score", ψ_w="weighted score" , Δ_ρ="rates threshold" , Δ_w="weighted rates" , "blank or "-="not applicable"

#### 5. Comparative overview

Discriminative scoring describes the number of different levels to distinguish the values (performance, preference etc.) associated with the consequences of each option employed by the scoring technique of a method: Low (<5levels), Medium (), High ( or on continuous scale), N/A = not applicable.

Level of complexity describes the technical difficulty in applying and/or understanding a method: Simple (low technical difficulty that does not require medical/statistical expertise and does not require specialist software to implement), Medium (mediocre technical difficulty that may need some but not extensive medical/statistical expertise and may require specialist software to implement), Complex (high technical difficulty that requires extensive medical/statistical expertise and may require specialist software to implement). N/A = not applicable

Number of options is the number of treatment options that can be compared simultaneously within a method. Typically a method assesses 2 options but it is not sufficient when there are multiple alternative treatments. N/A = not applicable.

Evidence data describes whether a method requires individual-level data or could be implemented using population summary data. N/A = not applicable.

Perspective for stakeholders suggests the type of stakeholders, to whom a method may be of interest and/or suitable. N/A = not applicable