QUESTANT INSIGHT · FREE P2 FLOW STRESS TEST

Enough beds on paper?

Test whether the P2 bed base in your chosen scenario can provide timely daily access over 90 days—not just enough capacity across a month.

Set your baseline

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Do not enter personal, patient-identifiable or case-level confidential information.

01

THE SCENARIO BASELINE

Set the monthly baseline for the scenario you want to test.

Enter the beds, average length of stay, expected monthly admissions and planned occupancy for the same scenario. These establish the baseline used in the 90-day flow test below.

MONTHLY CAPACITY MARGIN

+13.6admissions per month
Modelled monthly capacity
133.6
Expected monthly admissions
120
Beds indicated by the monthly baseline
78
Based on the monthly calculation only. This does not test daily availability.
Continue to the 90-day flow test
02

THE 90-DAY FLOW TEST

Can the baseline provide timely access day to day?

The simulator follows this operating scenario for 90 days. Set the P2 beds occupied by people who are NCTR, new P2-ready people from acute services each day and the occupancy teams work towards in practice.

PLANNED OCCUPANCY92.0%

MAXIMUM OCCUPANCY FOR THE DELAY TARGET Delay-target reference94.2%

Highest compatible modelled occupancy

SELECTED OPERATING OCCUPANCY Above delay target97.0%

WAIT CURVE

How average waiting time changes as occupancy rises

This illustrative queueing model shows how average waiting changes as occupancy rises. The 90-day results scale the selected waiting position across the entered daily demand; they do not reproduce the full variation in local arrivals, discharges or length of stay.

YOUR 90-DAY FLOW RESULT

additional acute bed-days above the delay target over 90 days
additional waiting days per P2-ready person
bed days versus planned occupancy
probability that a newly P2-ready person waits

WHAT SHOULD THE RESULT TRIGGER?

A monthly capacity margin does not guarantee timely daily access.

Before considering additional beds, check whether length of stay or P2 NCTR is preventing existing beds from becoming available when needed. These factors may be contributing more to the delay than the total number of beds.

01

Is the planned occupancy buffer still present in daily operation?

Compare the planned occupancy with the level the system works towards each day.

02

Why are beds not becoming available?

Check how P2 NCTR and length of stay affect how quickly beds become available before adding capacity.

03

Can these baseline assumptions occur together?

Check whether daily P2-ready demand, length of stay and occupancy describe an achievable operating position.

Using the simulator · Pathway 2 decision guide

What this simulator helps you challenge.

This simulator helps NHS and local authority commissioners, providers and operational teams test whether a P2 bed baseline can provide timely daily access over 90 days once occupancy, turnover and P2 NCTR are considered together.

Decision tested
Whether the P2 bed baseline can provide timely access at the required delay target.
Who it is for
NHS and local authority commissioners, providers and operational leads responsible for Pathway 2 bed capacity, discharge and NCTR flow.
Assumptions used
P2 beds, average length of stay, expected monthly admissions, planned and operating occupancy, P2 NCTR, daily P2-ready demand and the delay target.
The result can indicate
How operating occupancy changes waiting, delay and pressure on acute beds over 90 days.
It cannot establish
The exact local requirement without validating arrival patterns, discharge patterns, length-of-stay distributions and pathway constraints.

Questions this test can help explore

  • Can the P2 beds in scope provide timely daily access over 90 days?
  • How do operating occupancy and P2 NCTR change waiting?
  • Would additional beds provide a lasting benefit if turnover remained unchanged?
  • At what operating occupancy does the planned access benefit begin to disappear?

The simulator shows which assumptions may need local validation. A fuller review would use local arrivals, length of stay, P2 NCTR, discharge, occupancy and demand data.

Review this result with Questant

THE DECISION AFTER THE MODEL

When the monthly and 90-day results disagree, test the local assumptions.

A fuller review would use local arrival patterns, length of stay, P2 NCTR, discharge behaviour and occupancy data.