Gera A&E Pressure Index — Methodology
The complete, reproducible formula behind the Gera A&E Pressure Index, computed only from real NHS England March 2026 A&E data.
The formula
raw = (1 − Type1_4h_performance ÷ 100) × Type1_attendances
index = round( (raw − min) ÷ (max − min) × 100 )
where min and max are taken across all 118 English Type 1 A&E providers in the March 2026 release. The highest-pressure department scores 100; the lowest scores 0.
Step by step
- Take the real source figures. For each NHS Type 1 (major) A&E provider, read the published "A&E attendances Type 1" and "Attendances over 4hrs Type 1" counts from NHS England's March 2026 A&E Attendances and Emergency Admissions monthly CSV (Monthly-AE-March-2026-revised-flkg42.csv). No estimates are introduced.
- Compute the 4-hour performance. Type 1 4-hour performance = (1 − attendances over 4 hours ÷ Type 1 attendances) × 100. This is the share of major A&E patients admitted, transferred or discharged within 4 hours.
- Compute the raw pressure. Raw pressure = (1 − Type 1 4-hour performance ÷ 100) × Type 1 attendances. This multiplies the breach rate by the volume of patients affected, so a busy department with many long waits scores higher than a small one with the same breach rate.
- Normalise 0–100. Min-max normalise the raw pressure across all 118 English Type 1 A&E providers: index = (raw − min) ÷ (max − min) × 100, rounded to a whole number. The highest-pressure department scores 100; the lowest-pressure scores 0.
Highest A&E pressure (March 2026)
| Trust | Type 1 4-hour performance | Type 1 attendances | Gera A&E Pressure Index |
|---|---|---|---|
| University Hospitals Birmingham NHS Foundation Trust | 60.5% | 34,602 | 100 / 100 |
| Mid And South Essex NHS Foundation Trust | 59.8% | 28,522 | 84 / 100 |
| University Hospitals Sussex NHS Foundation Trust | 60.2% | 27,989 | 81 / 100 |
| Barts Health NHS Trust | 61.3% | 26,064 | 74 / 100 |
| Northern Care Alliance NHS Foundation Trust | 65.3% | 27,062 | 68 / 100 |
For context, the England Type 1 4-hour performance was 63.9% in March 2026, against the 76% standard.
Why this index, and what it is not
Headline percentages hide scale: a small unit and a major trauma centre can share the same 4-hour breach rate while affecting very different numbers of patients. The Gera A&E Pressure Index weights the breach rate by attendance volume so it reflects the total patient burden of long A&E waits. It measures system pressure on emergency care — not the clinical quality of any hospital — and is a monthly average, never a prediction for any individual visit. Always call 999 for a life-threatening emergency.
Gera A&E Pressure Index: frequently asked questions
- What is the Gera A&E Pressure Index?
- The Gera A&E Pressure Index (0–100) is a Gera Systems measure that combines how often A&E patients wait longer than 4 hours with how many patients are affected at a given department. It is computed as (1 − Type 1 4-hour performance) × Type 1 monthly attendances, then min-max normalised across all 118 English Type 1 A&E providers, using only real NHS England March 2026 figures.
- Why multiply breach rate by attendance volume?
- A small department breaching the 4-hour standard 40% of the time affects far fewer people than a major trauma centre breaching it 40% of the time. Multiplying the breach rate by Type 1 attendance volume captures the total patient burden of long A&E waits, not just the percentage.
- Is the index reproducible?
- Yes. Every input is the real, published NHS England March 2026 A&E provider CSV under the Open Government Licence v3.0. The formula above is the complete calculation — anyone can download the same file and reproduce every index value exactly. Gera invents no numbers.
- Which trust currently has the highest A&E pressure?
- On the March 2026 data, University Hospitals Birmingham NHS Foundation Trust has the highest Gera A&E Pressure Index (100/100), reflecting 60.5% Type 1 4-hour performance across 34,602 Type 1 attendances. See its page for the full figures.
- Does a high index mean a hospital is bad?
- No. The index measures system pressure on emergency care — driven by demand, capacity and flow across the whole urgent-care system — not the clinical quality of a hospital. The busiest, most pressured departments are often major regional centres. The figure is a monthly average, never a prediction for any individual visit.
Explore the data
Contains public sector information published by NHS England and licensed under the Open Government Licence v3.0. Source: NHS England — A&E Attendances and Emergency Admissions, Monthly Statistics (March 2026, published 14 May 2026).