📊 Bright Spot · NHS Example · Corridor Care

Blackburn and Blackpool — Corridor Care Reduced Through Boundary Dissolution

Royal Blackburn Hospital cleared its main corridor entirely and reduced 12-hour A&E waits by 18%. Blackpool Teaching Hospitals cut 12-hour waits by 42% and significantly reduced length of stay and discharge delays. Both results came from the same source: dissolving the organisational boundary between NHS and social care at the point of discharge. GIRFT (Getting It Right First Time) compared Blackpool against 100+ peer trusts and found it deviated significantly from the national trend — the strongest comparative evidence of any trust in this Bright Spot series.

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StepChangeAnalysis.com  ·  All Bright Spots  ·  June 2026
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The results

Trust Metric Result Timeframe
Royal Blackburn Hospital Main corridor cleared Entirely cleared April 2026
Royal Blackburn Hospital 12-hour A&E waits 18% reduction 2025/26
Blackpool Teaching Hospitals 12-hour A&E waits 42% reduction 2025/26
Blackpool Teaching Hospitals Length of stay Significantly reduced 2025/26
Blackpool Teaching Hospitals Discharge delays Significantly reduced 2025/26

The GIRFT comparative evidence

The strongest evidence for Blackpool comes not from absolute numbers but from GIRFT’s comparative dataset. GIRFT plotted Blackpool’s performance trajectory against more than 100 acute trusts facing the same winter pressures in 2025/26. Blackpool deviated significantly from the national trend line — improving while comparable trusts remained static or deteriorated.

This comparative approach is important because it controls for external factors — seasonal demand, national workforce pressures, system-wide factors — that affect all trusts simultaneously. If Blackpool improved against 100+ comparators facing identical external conditions, the improvement is more likely attributable to what Blackpool did differently rather than to favourable external circumstances.

Why GIRFT comparative data is stronger than absolute numbers alone

A 42% reduction in 12-hour waits could be explained by an unusually bad baseline year (regression to the mean), reduced demand, or a favourable external factor. GIRFT’s comparative dataset controls for all three simultaneously: if 100+ trusts facing the same conditions did not improve, the regression and demand explanations are ruled out. What remains is the intervention.

This is the closest available proxy to a pre-committed Bootstrap CUSUM test — and it is why Blackpool has stronger statistical evidence than most trusts in this series. The missing element is still the pre-committed prediction made before GIRFT arrived.


The interventions — Joiner level analysis

Intervention Joiner level What it addressed Sustainability
Transfer of Care Hubs — co-locating hospital discharge teams and local authority social workers in the same physical space Level 3 Deep Dissolved the organisational boundary between NHS and social care at the point of discharge. Made the cross-boundary constraint visible to both parties simultaneously. Enabled immediate decision-making without the information gap that produces delayed transfers. Fragile. Requires both organisations to maintain the co-location agreement and joint accountability. Vulnerable to local authority cost pressures. Required national mandate to survive local financial pressure.
Discharge to Assess (D2A) — assessing patients’ care needs at home rather than in an acute bed Level 3 Deep Dissolved the assumption that assessment must happen in hospital. The Evaporating Cloud: we need the patient out of the acute bed AND we need proper assessment. Assumption: assessment must happen in hospital. Injection: assess at home. Sustainable as national policy while community capacity exists. Dependent on social care workforce availability. If community capacity is insufficient, D2A becomes a mechanism for unsafe discharge rather than a flow intervention.

The boundary trap dissolved

Both interventions address the same structural constraint: the boundary trap between NHS acute care and local authority social care. This constraint has two features that make it particularly resistant to improvement:

Transfer of Care Hubs address both by physically co-locating the decision-makers. When the NHS discharge coordinator and the local authority social worker are in the same room looking at the same patient, the information gap dissolves. The accountability gap requires a higher-level structural change — shared ICS budgets — which is why it required national mandate rather than staying as a local agreement.


Sustainability assessment

The boundary-crossing nature of both interventions is also their primary sustainability risk. Level 3 Deep interventions are structurally significant but dependent on conditions outside any single trust’s control.

Risk factor Assessment
Local authority financial pressure High risk. If the local authority withdraws its social workers from the Transfer of Care Hub to save cost, the hub dissolves overnight. The NHS cannot compel a local authority to maintain the co-location. This is why national mandate became necessary.
Social care workforce High risk. D2A requires community capacity to receive patients at home. Social care workforce shortages mean that capacity varies significantly. In periods of high social care demand, D2A competes with other community needs for the same workforce.
GIRFT team presence Medium risk. The Hawthorne Effect is real: staff change behaviour when being observed nationally. GIRFT’s comparative dataset measured performance during engagement. Whether improvement holds without GIRFT monitoring is the Bootstrap CUSUM question.
Internal coordination (Blackburn) Lower risk. Blackburn’s corridor clearance appears to have involved internal coordination improvements alongside the boundary interventions. Internal changes are more sustainable because they are within the trust’s own authority to maintain.

Bootstrap CUSUM — the honest position

The GIRFT comparative evidence is the strongest available for any trust in this Bright Spot series in terms of ruling out alternative explanations. It does not constitute a pre-committed Bootstrap CUSUM evaluation. The missing elements:

Pre-committed prediction No prediction was made before GIRFT arrived specifying which metric would change, in which direction, by how much, within what timeframe. The evaluation was retrospective. A pre-committed prediction would have been: “12-hour waits will reduce by X% within Y months of Transfer of Care Hub implementation, as measured against the GIRFT comparator baseline.”
Sustained test The critical Bootstrap CUSUM question: do the improvements hold 12-24 months after GIRFT monitoring ends and without the presence of the GIRFT team? This question has not yet been answered publicly.
Balancing measures 30-day emergency readmission rates (did faster discharge produce unsafe discharge?), patient safety incident rates, and social care capacity strain (did D2A displace other community care needs?) should be monitored simultaneously. These have not been published alongside the primary outcomes.

The honest summary: Blackpool and Blackburn have the strongest comparative evidence of the five Bright Spots. They do not have the strongest causal evidence. The GIRFT comparison is highly suggestive. Pre-committed Bootstrap CUSUM on sustained data after GIRFT engagement ends would complete the picture.

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