NHS Healthcare · Bright Spots · Case Studies

Corridor Care Bright Spots — Find What Works and Understand Why

Some hospitals have reported substantial improvements in corridor care and patient flow. These cases offer practical starting points for learning — not a league table, a proven recipe or evidence that national capacity constraints have disappeared.

By Syd Stewart, Chartered Chemical Engineer  ·  StepChangeAnalysis.com  ·  June 2026
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What to look for in a Bright Spot

A Bright Spot is a part of a system doing unusually well under comparable conditions. The useful question is not simply “Who performs best?” but “What are they doing differently, and could that help elsewhere?”

For corridor care, look beyond the emergency department. Discharge decisions, diagnostic delays, ward routines and coordination with community services can all affect whether patients reach appropriate clinical spaces. A strong case connects an observed outcome with a clear account of what changed, while acknowledging differences in demand, resources and local context.

Explore the case studies

These five case studies cover different outcomes and kinds of evidence. They are candidates for investigation, not equivalent demonstrations of reduced corridor care. Follow each link for the fuller account and its limitations.

Watford General — whole-hospital coordination

West Hertfordshire reported eliminating corridor care through a winter of record demand. The account emphasises senior management on the floor, cross-departmental authority, shared responsibility and staff empowerment. Learning focus: connecting front-line information with people able to act. The operational account is compelling, but does not establish which elements caused the result.

Gloucestershire — patient flow under rising demand

The reported results include a 68% reduction in ambulance handover delay hours and fewer discharge-ready patients remaining in hospital, despite rising emergency attendances. Learning focus: examining flow across the hospital alongside outcome data. These are related indicators, not interchangeable measures of corridor care; the time series needs formal evaluation.

Blackburn and Blackpool — discharge across organisational boundaries

The account describes reduced long A&E waits following GIRFT support, with Transfer of Care Hubs and Discharge to Assess among the changes. Learning focus: coordinating hospital and social-care decisions. Sustainability depends partly on community capacity and cross-organisational agreements; comparative improvement does not isolate the effects of individual interventions.

Ipswich — making ward delays visible

The patient-flow bundle combines Red/Green Day tracking, criteria-led discharge and earlier board rounds. Learning focus: identifying avoidable delays and enabling timely discharge decisions. Because several changes were introduced together, any improvement cannot simply be assigned to one component.

Bolton — reducing diagnostic delays

Diagnostic pathway redesign addressed scheduling, unnecessary steps and staff capabilities, supported by SPC tracking. Learning focus: reducing waits for investigations that can hold up patient flow. Improved diagnostic turnaround is relevant to corridor care, but is not itself proof that corridor care fell.

The shared learning question

Across these accounts, attention shifts from asking A&E to cope better to changing how the wider system works: who sees a blockage, who can resolve it and whether teams share responsibility for the patient’s journey. The mechanisms differ, and none should be copied without examining local conditions.

Internal coordination and external capacity both matter. A hospital may remove avoidable delays while still facing shortages in social care or community services. Local success does not demonstrate that those wider constraints are unimportant, or that another trust can achieve the same result with unchanged resources.

What the evidence can tell us

The evidence described in these cases ranges from operational reports to comparative data and SPC tracking. The material presented here does not include a pre-committed Bootstrap CUSUM evaluation for these cases. That limits the conclusions; it does not make other evidence worthless.

For a new test, agree the expected outcome, timing and evaluation plan before implementation. For existing cases, investigate retrospectively and label the limits honestly.

How to take this further

Explore your own trust’s data

The StepChange Analyzer is an optional tool for assessing changes in monthly outcomes. Interpretation still requires context, balancing measures and evidence about causes.

Open the StepChange Analyzer →