Prototype dashboard developed by Aditya Aggarwal, on behalf of Centre for Urban Health and Healthcare (CUHH), part of The Institute of Global Health Innovation (IGHI), Imperial College London
⚠ PROTOTYPE — For data sources visit Registry. Figures are not assured for operational or clinical decision-making. Sections marked “illustrative” use worked examples rather than live data.

Determinant-to-Outcome Pathway

Viewing pathway for · London

Mapping structural and environmental health determinants to downstream acute healthcare utilisation in .

Illustrative example — the four-stage pathway below uses fixed example figures to show how a determinant chain reads end to end. It does not yet recompute for the selected area. The correlation panels above are live data.

Stage 1: Root Determinant

Poor Housing & Air Quality

Overcrowded Housing
25.3%+14.1 vs Lon
PM2.5 Exposure
13.1µg/m³
Stage 2: Elevated Risk

Respiratory Vulnerability

Air Quality Rank
3rd Highest (Lon)

High particulate exposure combined with indoor mould and crowding significantly elevates pulmonary triggers, especially in pediatrics.

Stage 3: Health Outcome

Childhood Asthma Prevalence

QOF Diagnosis Rate (0-15y)
12.4%
London Avg: 8.9%
⚠ Statistically significant variance
Stage 4: System Impact

Acute A&E Admissions

Asthma-related A&E (Under 19)
312/ 100k
Lon
+40% System Loading

Cost of Intervention Context

This pathway view provides ICS Strategists the statistical narrative required to fund upstream preventative measures over downstream acute care. In the borough of , reducing Overcrowded Housing and PM2.5 Exposure by 10% models an estimated £4.2M reduction in Stage 4 acute asthma admission costs over a 5-year longitudinal period.