Interactive HTA Radar Chart Explorer

Unlocking Value in HTA

An Interactive Guide to Radar Charts for Multi-Criteria Decision Analysis

The "Why": Navigating Healthcare's Complexity

Healthcare decisions are rarely simple. They extend far beyond clinical effectiveness, touching upon costs, ethics, patient values, and practical implementation. Health Technology Assessment (HTA) provides a framework to navigate this complexity, but understanding the trade-offs between these different factors is a major challenge. This is where Multi-Criteria Decision Analysis (MCDA) and powerful visualization tools become essential.

HTA is a systematic, multidisciplinary process that evaluates health technologies. Its scope has evolved beyond just safety and efficacy to include patient perspectives, organizational aspects, social impacts, and legal considerations, aiming for a holistic understanding of a technology's "value."

Decisions in HTA are not made in a vacuum. They are shaped by societal values (like equity and access) and personal values (patient preferences and experiences). Furthermore, the theory of constructivism tells us that for HTA findings to be accepted, they must be reconciled with the existing knowledge and context of stakeholders. This makes clear communication and engagement paramount.

The "What": A Powerful Visualization Tool

Introducing Radar Charts

A Radar Chart (or Spider Chart) is a tool for displaying multivariate data. It consists of a sequence of "spokes," each representing a different variable. By plotting points and connecting them, we create a polygon that provides an instant visual summary of performance across multiple criteria.

In HTA, this allows us to see the strengths, weaknesses, and overall profile of a health technology at a glance, making it a powerful tool for comparison and discussion.

Best Practices for Design

  • Limit Variables: Use 5-8 axes to avoid clutter and maintain clarity.
  • Normalize Data: Ensure all variables are on the same scale (e.g., 0-10) for meaningful comparison.
  • Logical Order: Group related axes (e.g., clinical, economic) together.
  • Visual Clarity: Use transparent fills and clear labels.

The "How": Interactive HTA Comparison

Select one or more technologies below to compare their performance profiles on the radar chart. Observe how their strengths and weaknesses create different shapes, highlighting the trade-offs involved in decision-making.

Interpreting the Chart

Overall Shape & Area

A larger polygon generally indicates better overall performance. A more balanced, symmetrical shape suggests consistent performance across all dimensions.

Length of Spokes

A point further from the center signifies a strength in that dimension. A point closer to the center indicates a weakness or area for concern.

Spikes & Valleys

Sudden spikes highlight exceptional strengths, while deep valleys point to significant weaknesses. These are key distinguishing features.

Comparing Polygons

Overlaying technologies reveals trade-offs. Where one polygon is larger might be where another is smaller, making compromises visually explicit.

Align with Priorities

Use the chart to see which technology best aligns with specific goals. If cost is a priority, focus on the "Economic Impact" axis.

Facilitate Discussion

The chart is a conversation starter. Use it to engage stakeholders, explain complex data simply, and build consensus around a decision.

An interactive resource based on the HTAsiaLink 2025 Workshop on Radar Charts.