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ICER Dominance Quadrant Label

Label strict cost/effect dominance, tradeoff quadrants, and explicit equal-cost or equal-effect boundaries, with an ICER only for nonzero incremental effect.

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Description

Classify incremental cost/effect differences and calculate an ICER when effect difference is nonzero.

An incremental cost-effectiveness ratio divides the cost difference by the effect difference between alternatives. Its sign alone cannot distinguish a less costly, more effective option from a more costly, less effective one. Interpretation requires the effect direction, units and separate cost/effect signs, including zero differences.

Classify incremental cost/effect differences and calculate an ICER when effect difference is nonzero.

When to use this tool

Use ICER Dominance Quadrant Label when checking the stated cost-effectiveness-plane quadrant and ratio convention.

How to use the tool and how it works

  1. Enter incrementalCost, incrementalEffect. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read classification, icer, ratioDefined. Inspect ratioDefined before interpreting the associated values.

Compare incremental cost/effect signs, assuming larger effect is favorable, and distinguish dominance, tradeoffs, equal-cost/effect cases and no difference. Return cost/effect when effect!=0; otherwise return icer=0 with ratioDefined=false.1

Incremental evaluation considers both cost and effect differences. A negative ICER needs its quadrant to distinguish dominance from being dominated; no decision threshold is supplied here.2

Input fieldMeaning and unitsAccepted input
incrementalCostIncremental CostRequired. Finite number.
incrementalEffectSigned effect difference on a scale where larger is favorable.Required. Finite number.
Output fieldInterpretationReturned shape
classificationClassificationRequired. Text; maximum UTF-16 length 8192.
icerCost difference/effect difference; zero placeholder when ratioDefined=false.Required. Finite number.
ratioDefinedFalse exactly when incrementalEffect=0; classification remains meaningful.Required. Boolean.
json
{
  "input": {
    "incrementalCost": -100,
    "incrementalEffect": 0.2
  },
  "output": {
    "classification": "dominant",
    "icer": -500,
    "ratioDefined": true
  }
}

Limitations and assumptions

  • Negative ICERs can represent opposite dominance situations; use classification and ratioDefined rather than interpreting the ratio alone.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use a complete incremental analysis with justified outcome direction, relevant comparators and uncertainty; seek qualified health-economic interpretation for actual decisions.

References

  1. Calculation and input contract: health-economics/icer-dominance-quadrant-label — tool.io

  2. Economic evaluation: incremental analysis — NICE

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