On the show

Health outcomes that track a postcode

Where someone lives predicts their health with uncomfortable accuracy. The mechanisms behind that are social, economic, and structural.

Why it is hard to measure

  • Maternal and infant outcome gaps persist even in high-income countries.
  • Access to fresh food and exposure to environmental harm both cluster geographically.
  • Aggregated statistics show the gap exists and not what sustains it.
  • The people living it can describe the barriers far better than a dataset can.

Questions only a conversation can ask

“Walk me through getting fresh food where you live — from deciding you need it to having it in the kitchen. Where does it break down?”

“Tell me about the last appointment you missed. What got in the way, and what would have gotten you there?”

Where SamSurveyor fits

Closing a gap requires knowing what is in the way. Asking people in their own words is how that gets documented, and Explorer is where an author reviews what comes back.

Hear this discussed

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