The national picture

A&E departments in England recorded 2,411,415 attendances in July 2026. Of these, 1,489,424 were at major Type 1 departments, 56,912 at specialist Type 2 departments and 865,079 at other emergency facilities such as urgent treatment centres and minor injury units. NHS England's monthly file shows that 1,806,649 attendances ended in admission, transfer or discharge within four hours. That is 74.9 per cent of all attendances. The remaining 604,766 lasted longer than four hours, meaning about one in four recorded journeys crossed that point.1, 2

The same publication recorded 77,306 waits of more than four and up to 12 hours after a decision to admit, and 47,438 waits of more than 12 hours. These counts describe people who had already reached a recorded decision that they needed admission. They are not subsets of all people whose total attendance lasted longer than four hours in a simple way. The clocks start at different points. Combining them or using the terms interchangeably would misstate what happened to patients.1, 2

The data were published on 13 August and cover activity from 1 to 31 July. They are aggregate official statistics submitted by providers. The national totals include several types of emergency facility with very different case mixes. Major departments receive resuscitation, ambulance arrivals and patients likely to need admission, while other sites often manage less complex injuries and illness. An all department percentage is useful for the national overview, but it should not be treated as the expected result for every site.1, 2

A monthly total also compresses daily and hourly variation. Two departments can report the same proportion within four hours while experiencing very different crowding, acuity and staffing patterns. One may have a short period of severe congestion and the other persistent moderate delay. The file does not explain why an individual waited or whether care was safe during that time. It shows the scale and timing of journeys, creating a starting point for clinical and operational investigation rather than a complete judgement.1, 2

Two clocks that should not be confused

The four hour measure begins when a patient arrives and ends when they are admitted, transferred or discharged. It covers the whole department journey and includes assessment, investigation, treatment, observation and arrangements for the next destination. A delay can arise before or after clinical assessment. The measure is therefore sensitive to front door processes, diagnostic access, specialist response, discharge arrangements and inpatient flow. It is not simply a count of people waiting to be seen by a clinician.3, 4

The decision to admit measure starts later. NHS England defines the start as the recorded decision to admit, or the point when treatment that must be completed in A&E has finished, whichever is later. It ends when the patient leaves for a ward, theatre, another treatment on the way to a bed or another defined admission destination. A 12 hour wait on this measure describes a long period after the need for admission has been established. It does not mean the person waited 12 hours from arrival before any care began.3, 4

Both measures matter to nurses for different reasons. The total attendance time can reveal friction across the entire emergency pathway. The post decision wait points more directly to the interface with inpatient capacity and transfer. A patient can receive repeated observations, medicines and personal care while waiting for a bed, but remaining in an emergency space can still create risk, distress and loss of privacy. Good care during a delay does not make the delay acceptable, and a performance count does not describe the quality of that care.3, 4

Public discussion often uses the phrase 12 hour A&E wait without naming the clock. The Emergency Care Data Set also supports measures from arrival, while the monthly admissions table uses decision to admit. A responsible service briefing should label the measure, denominator and period every time. Otherwise patients may hear a more reassuring or more alarming account than the data support. Nurses explaining local pressure should be able to distinguish the two clocks without turning the conversation into statistical jargon.3, 4

What the figures mean for nursing work

Crowding changes the work of emergency nurses even when the number of registered treatment spaces does not change. More people remain under the department's responsibility, observations recur, medicines become due and new symptoms must be recognised among patients at different stages. Staff may need to provide nutrition, toileting, pressure area care and communication that would ordinarily happen in an inpatient environment. The dataset counts time, not these accumulated care tasks. Workforce decisions based only on arrivals can therefore underestimate the nursing demand created by long stays.1, 4, 5

The burden is not evenly distributed. People living with frailty, dementia, learning disability, mental ill health or communication needs can be harmed by a noisy and unfamiliar environment. Children and families need age appropriate space and safeguarding. Patients requiring isolation or close observation reduce the flexibility of the physical department. These risks should be assessed from local records and safety reporting rather than assumed from the national totals, but long waits make the adequacy of the care environment an unavoidable question.1, 4, 5

Inpatient colleagues are part of the same pathway. A bed cannot be released safely without appropriate treatment, medicines, transport, equipment and community support. Pressure at the emergency front door can therefore reflect constraints many steps away. Moving patients solely to improve a metric can transfer risk to corridors, temporary spaces or wards without adequate staff. Flow decisions need a named clinical owner, a suitable destination and an explicit account of what nursing care will be required after transfer.1, 4, 5

The medium term NHS planning framework sets an ambition for 85 per cent of A&E attendances to finish within four hours and for 12 hour waits to reduce. July's all department figure was 10.1 percentage points below that ambition. This gap provides scale, but it does not identify a single intervention. Safe improvement requires attention to demand, senior decision making, diagnostics, discharge, community alternatives, bed capacity and staffing across the day and week.1, 4, 5

Questions hidden by a national total

The first hidden question is where delay occurred. Aggregate monthly data cannot show whether patients waited mainly for initial assessment, a specialty review, imaging, transport or an inpatient bed. Local event level analysis can map these intervals, provided timestamps are accurate and interpreted with staff who understand the workflow. A missing or late timestamp can resemble delay, while a target driven entry can create false reassurance. Data quality checks should precede claims about the main bottleneck.1, 3

The second question is who experienced the longest waits and what happened during them. National totals are not stratified here by deprivation, ethnicity, disability, language, age or presenting condition. Local services should examine inequalities without creating unreliable rankings from small groups. They should pair time measures with incidents, deterioration, complaints, restraint, leaving before treatment and patient experience. A reduction in average waiting time can coexist with a small group of people facing exceptionally poor care.1, 3

The third question is whether performance improved through durable pathway change or a temporary operational response. Additional escalation spaces may shorten one part of the recorded journey while increasing nursing workload elsewhere. A new streaming process may be helpful, but it needs audit for missed acuity and repeated assessment. Measures should follow the patient beyond a boundary where practical. The aim is timely, safe care, not merely stopping a clock at a different location.1, 3

The fourth question concerns variation within the month. July includes weekdays, weekends, heat, public events and changes in staff availability. Monthly reporting cannot show whether a department repeatedly lost control overnight or recovered quickly after peaks. Reviewing demand and staffing by hour can reveal a mismatch concealed by a monthly average. It can also show when inpatient discharge or diagnostic availability needs to change rather than asking the emergency team to absorb every surge.1, 3

A safer way to use the data

Boards should see a small set of connected measures. These include the share completing the journey within four hours, waits after decision to admit, time to initial assessment, ambulance handover, crowding, staffing, incidents and patient experience. Each measure should have a clear definition and a named source. Trends are more informative than a single rank, and comparisons need to account for department type and case mix. A dashboard should prompt action and questions, not create an illusion that one percentage summarises safety.3, 4, 5

Clinical review is essential when numbers change unexpectedly. A sudden improvement may represent genuine pathway work, a change in reporting, closure of capacity or patients being redirected. A deterioration may reflect demand, reduced beds, infection controls or data correction. Nurses from the affected areas should be able to test the explanation against what happened on shifts. Their account is evidence, although it should be combined with patient level and operational records rather than treated as a substitute for them.3, 4, 5

During pressure, leaders need explicit minimum standards for people waiting in non-standard spaces. These should cover observations, medicines, call bell access, privacy, nutrition, toileting, infection prevention, mental health support, safeguarding and escalation. Staffing must follow the patient rather than remain fixed to the nominal department layout. Recording a patient as admitted or transferred should not remove them from nursing oversight before responsibility and location have safely changed.3, 4, 5

Communication with patients should also be honest and repeated. People need to know what they are waiting for, who is responsible, how to seek help and whether eating or drinking is safe. Families may have crucial information about deterioration and usual function. A long wait is made worse when no one can explain the next step. The monthly statistics cannot measure every conversation, but reliable communication is one of the few protections staff can provide even when the underlying capacity problem is unresolved.3, 4, 5

What should happen next

The July figures warrant attention because both the volume and duration of care were substantial. More than 600,000 attendances exceeded four hours, and 47,438 admitted patients waited beyond 12 hours after the later decision point. These are national counts, not a forecast for an individual department, but they show that delay is not exceptional. Systems should publish how they are reducing it and how patients are protected while change takes effect.2, 3, 5

Improvement plans should identify the constraint they are designed to address and the unintended effects they will monitor. Extending same day emergency care may reduce admission for suitable patients, but it requires staffing, diagnostics and a safe route back if symptoms worsen. Earlier discharge can release beds, but only when medicines, support and follow up are ready. Additional capacity must include nursing and support staff, not just physical spaces. Each intervention should have patient outcome and workforce balancing measures.2, 3, 5

National reporting can improve understanding by keeping definitions visible and making changes in provider footprint clear. NHS England notes that from April 2026 some performance reporting uses an acute trust footprint, which affects comparison with older provider level presentations. Analysts should use consistent series and document any break. Publication should also continue to distinguish official monthly statistics from experimental Emergency Care Data Set analyses. More detailed data are valuable, but different products are not automatically interchangeable.2, 3, 5

Commissioners and providers should also test whether improvement reaches the whole pathway. If an ambulance handover becomes faster but the patient then waits in an unstaffed internal space, the recorded gain has not produced safer care. If admission occurs sooner but the receiving ward has no capacity for timely assessment or medicines, risk has moved rather than reduced. Shared measures and joint clinical review can make these transfers visible and keep accountability attached to the patient rather than to an organisational boundary.2, 3, 5

Workforce plans need to reflect occupancy as well as attendance volume. A department caring for many patients awaiting beds requires nursing time for ongoing treatment and fundamental care at the same moment that new arrivals need triage and resuscitation. Escalation staffing should be defined before pressure peaks, with competence, breaks and supervision considered. Pulling staff from another service may solve an immediate gap but should trigger an assessment of the risk created in the area they leave.2, 3, 5

For nursing teams, the immediate message is precise. July's data show prolonged journeys across emergency care and thousands of very long waits after admission decisions. They do not identify the cause in a particular hospital or prove that care was unsafe in every delayed case. The correct response is to trace the local pathway, protect patients throughout the wait and insist that flow changes carry the staff, equipment and clinical accountability required to make them safe.2, 3, 5