Summary
- This report provides an overview of the occupancy rates for the
paediatric critical care unit (PCCU) at the John Radcliffe Hospital
- The main findings are:
- The average occupancy rate for the PCCU was 85%, which is above the
national benchmark of 80%.
- The occupancy rate varied by month, season, and day of the week,
with the highest rates in winter and on weekdays.
- The main factors affecting occupancy were the number and severity of
admissions, the availability and suitability of beds, and the discharge
and transfer processes.
- Occupancy significantly decreased during the COVID pandemic but has
now surpassed pre-pandemic levels.
- An increasing proportion of overall capacity is being occupied by
technology-dependent patients with complex needs and prolonged
stays.
Background
- PICU at the John Radcliffe Hospital is an 17-bed unit that provides
intensive care for children aged 0 to 16 years.
- PICU is currently externally commissioned for 9 HDU beds (Level 1
and 2 care) and 8 ICU beds (Level 3 and 4 care).
- PICU is currently located on Level 3 of the Oxford Critical Care
(OCC) building after an extensive options appraisal supported by the
trust executive taking place over the year prior to the move.
- PICU is part of the regional network of paediatric critical care
services, which means that it accepts referrals from other hospitals
within the Thames Valley and Wessex region.
- The purpose of this report is to summarise occupancy rates for the
PCCU over the past 10 years to support the external review process
- The data used for the analysis were obtained from the PCCU ‘Medicus’
database, which exports data to the national PICU audit (PICANET) and
represents the local version of the same data. The database records the
daily admission and discharge information for each patient, including
the date, time, diagnosis, severity, length of stay, and outcome.
- The data were extracted for the period from Jan 2014 to Dec
2024
- The time-period also includes data acquired during the COVID
pandemic where there was a significant drop of in PCCU activity
nationwide. This was more than compensated for by the admission of
unwell adults to PCCU (not captured in this dataset).
- The occupancy rate was calculated as the ratio of the number of
occupied beds to the total number of available beds, expressed as a
percentage.
- The occupancy rate was calculated for each day, month, season, and
day of the week, and compared with the national benchmark of 80%, which
is the recommended level of occupancy for optimal efficiency and quality
of care. Working above this level would normally trigger the national
OPEL escalation system [link here].
Results
- Overall admissions stay roughly steady at between 700 and 850 per
year. Since the expansion of the retreival service in 2022 the
proportion of admissions that are external has increased from roughly a
third to around half of all admissions.
| PICU Admissions by Source |
| 2015–2024 |
| Year |
Internal |
External |
Total |
| 2015 |
626 |
219 |
845 |
| 2016 |
661 |
190 |
851 |
| 2017 |
584 |
174 |
758 |
| 2018 |
646 |
175 |
821 |
| 2019 |
581 |
166 |
747 |
| 2020 |
402 |
125 |
527 |
| 2021 |
512 |
190 |
702 |
| 2022 |
505 |
222 |
727 |
| 2023 |
506 |
221 |
727 |
| 2024 |
458 |
245 |
703 |

Occupancy rates are overall high
The table shows that in the year before and the 2 years after the
COVID-19 pandemic mean and median occupancy ran at > 80% which should
trigger an escalation in OPEL levels regionally.
In 2022 although occupancy was lower at the beginning of the year
we saw a huge peak in winter admissions due to resurgence of infectious
pathogens (predominately influenza and group A streptococcus). This is
reflected in the highest maximum occupancy (171%) in November 2022. At
this time most of the country’s PICU beds were full and the system was
almost overwhelmed with children waiting long times in district
hospitals for PCC beds to become available and travelling long distances
to find a bed.
the following graph displays this graphically per bed day with
days >80% occupancy colored red
To consider which are the busiest months it is useful to look at
aggregate data for each month over the period studied. As already stated
occupancy of PICU with paediatric patients significantly decreased
during the COVID pandemic. As this is exceptional we have excluded these
years (2020/2021) in the following analysis so as not to artificially
skew the numbers. The data is represented in tabular form….
PCC Occupancy by month in 2019 (Excluding Coivd Pandemic)Month | Median Occupancy | Maximum Occupancy |
|---|
Jan | 82 % | 118 % |
Feb | 82 % | 112 % |
Mar | 82 % | 171 % |
Apr | 82 % | 118 % |
May | 76 % | 118 % |
Jun | 82 % | 118 % |
Jul | 76 % | 118 % |
Aug | 59 % | 129 % |
Sep | 71 % | 106 % |
Oct | 82 % | 129 % |
Nov | 94 % | 129 % |
Dec | 88 % | 124 % |
… and in graphical form:

Another useful way of displaying the data is to look at the number of
days every month when occupancy reaches pre-set thresholds. For this
purpose a representaitve year (2019) has been chosen and the days over
threshold calculated for each month.
Month | Days in month where Occupancy > 80% | Days in month where Occupancy > 100% |
|---|
Jan | 22 | 4 |
Feb | 27 | 10 |
Mar | 29 | 8 |
Apr | 28 | 7 |
May | 15 | 3 |
Jun | 19 | 1 |
Jul | 4 | 0 |
Aug | 1 | 0 |
Sep | 14 | 1 |
Oct | 28 | 10 |
Nov | 30 | 16 |
Dec | 31 | 14 |