Ica Cca Ratio Calculator

ICA / CCA Ratio Calculator (ICER)

New Intervention (B)

e.g., QALYs, success rate, or years

Standard Intervention (A)

Baseline outcome measure

Calculation Results

Incremental Cost (ΔC):

Incremental Effectiveness (ΔE):


ICA/CCA Ratio (ICER):
(Cost per unit of additional effectiveness)

Understanding the ICA/CCA Ratio in Cost-Effectiveness Analysis

The ICA/CCA Ratio, more commonly referred to in health economics as the Incremental Cost-Effectiveness Ratio (ICER), is a critical metric used to compare the economic value of two different interventions. It provides a numerical value representing the additional cost required to achieve one additional unit of effectiveness (such as a life year gained or a Quality-Adjusted Life Year, QALY).

The Mathematical Formula

The ratio is calculated by dividing the difference in costs by the difference in outcomes:

Ratio = (Cost_New – Cost_Standard) / (Effectiveness_New – Effectiveness_Standard)

How to Interpret Results

  • Low Ratio: Suggests the new intervention provides a high degree of extra benefit for a relatively low extra cost.
  • High Ratio: Indicates that the additional benefits come at a high financial premium.
  • Negative Ratio: This usually occurs in two scenarios:
    1. The new intervention is cheaper and more effective (Dominant).
    2. The new intervention is more expensive and less effective (Dominated).

Real-World Example

Imagine a standard medication costs $30,000 and provides a patient with 0.60 QALYs. A new biotech drug costs $50,000 but increases effectiveness to 0.85 QALYs.

  • Incremental Cost (ΔC): $50,000 – $30,000 = $20,000
  • Incremental Effectiveness (ΔE): 0.85 – 0.60 = 0.25 QALYs
  • ICA/CCA Ratio: $20,000 / 0.25 = $80,000 per QALY

Decision-makers then compare this $80,000 figure against a "willingness-to-pay" threshold to decide if the new drug should be funded.

function calculateICER() { var cB = parseFloat(document.getElementById('costB').value); var cA = parseFloat(document.getElementById('costA').value); var eB = parseFloat(document.getElementById('effectB').value); var eA = parseFloat(document.getElementById('effectA').value); var errorDiv = document.getElementById('errorArea'); var resultDiv = document.getElementById('resultsArea'); errorDiv.style.display = 'none'; resultDiv.style.display = 'none'; if (isNaN(cB) || isNaN(cA) || isNaN(eB) || isNaN(eA)) { errorDiv.innerHTML = "Please enter valid numeric values for all fields."; errorDiv.style.display = 'block'; return; } var deltaCost = cB – cA; var deltaEffect = eB – eA; if (deltaEffect === 0) { errorDiv.innerHTML = "Incremental Effectiveness is zero. The ratio cannot be calculated (division by zero). This implies both treatments have identical outcomes."; errorDiv.style.display = 'block'; return; } var icer = deltaCost / deltaEffect; document.getElementById('deltaCostDisplay').innerText = deltaCost.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2}); document.getElementById('deltaEffectDisplay').innerText = deltaEffect.toFixed(4); var formattedIcer = icer.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2}); // Logic for Dominance if (deltaCost 0) { document.getElementById('icerRatioDisplay').innerText = "Dominant (" + formattedIcer + ")"; document.getElementById('icerRatioDisplay').style.color = "#28a745"; } else if (deltaCost > 0 && deltaEffect < 0) { document.getElementById('icerRatioDisplay').innerText = "Dominated (" + formattedIcer + ")"; document.getElementById('icerRatioDisplay').style.color = "#dc3545"; } else { document.getElementById('icerRatioDisplay').innerText = formattedIcer; document.getElementById('icerRatioDisplay').style.color = "#155724"; } resultDiv.style.display = 'block'; }

Leave a Reply

Your email address will not be published. Required fields are marked *