Delayed discharges in NHSScotland monthly
Figures for December 2023

Our monthly update

This release provides a monthly update on the:

• number of people experiencing a delay in discharge from hospital at the monthly census point – the last Thursday of the month
• number of hospital bed days associated with delayed discharges in the calendar month
• number of discharges from hospital that followed a period of delay in the calendar month

The data relate to people aged 18 years and over who were clinically ready for discharge.

A selection of information from this publication is included in NHS Performs (external website).

Next release

The next release of this publication will be 5 March 2024.

Number of people delayed

At the December 2023 census, there were 1,813 people delayed. This is the smallest number of people delayed compared to the past three months, September to November 2023, and a 5% decrease in the number of people delayed compared to November 2023 (1,910).

The number of people delayed varies across the Local Authorities. Chart 4 in the All delay reasons workbook shows the variation in the rate of delays per population at the December 2023 census.

Length of delay at census point

The average (median) length of delay for people delayed at the December 2023 census was 29 days. This is an increase of 7 days from November 2023 and the highest average length of delay compared to the past three months, September to November 2023.

Average number of beds occupied per day

In December 2023 the average number of beds occupied per day due to people delayed in hospital was 1,879. Compared to the previous three months this is similar to the average number of beds occupied per day in November 2023 (1,894) and higher than in September and October 2023.

The chart below shows that the trend in the average daily number of beds occupied by people delayed in their discharge is predominantly driven by the trend in standard delays (health and social care and patient, family and carer related) reasons.

This is a line chart with three lines showing the trend in the average number of beds occupied per day by people delayed in their discharge for all delay reasons, for standard delay reasons (Health and social care reasons and Patient, family and carer related reasons) and for Code 9 delay reasons (complex delays due to the specific care needs of the person). The chart shows that the majority of delayed discharge beds occupied during this period were due to standard delay reasons and changes in the All delay reasons trend are primarily driven by changes in the standard delay reasons. The average number of beds occupied per day for All delay reasons remained fairly steady from December 2020 to April 2021, albeit at a level below that seen before the start of the COVID 19 pandemic due to the Emergency Measures taken in March 2020 and their effect on the health and social care sector. The average number of beds occupied per day for all reasons increased from May 2021 to October 2021. This was followed by a decrease in November and December 2021 then an increase to April 2022 before decreasing in May and June 2022 and then rising in July 2022. The figure remained stable in August 2022 before increasing each month to November 2022, the highest figure since July 2016. Since then the trend has generally been downwards, with some fluctuation, to June 2023. There has been an increase between June 2023 and July 2023 a decrease in August 2023, then an increase to November 2023 followed by a decrease in December 2023. The proportion of the average number of beds occupied due to standard delay reasons varies over the time period presented. For the year 2020/21 (which was affected by the impact of the COVID 19 Emergency Measures, introduced in March 2020), the proportion was 66%; for the years 2021/22 and 2022/23 the average proportion for the year were 71% and 72% respectively. In December 2023, the proportion was 70%. The average number of beds occupied by people delayed in their discharge due to Code 9 delay reasons increased from December 2020 to January 2021 before generally falling to May 2021 and then increasing to July 2021. Figures then remained relatively stable to December 2021 before rising again to March 2022. The average number of beds then generally fell to September 2022 before increasing to December 2022. Since then the average number of beds decreased each month between January and April 2023 before rising to June 2023 and decreasing in July 2023. Since then figures have increased each month to December 2023.

Close

Average number of beds occupied per day Delayed Discharge bed use in Scotland from December 2020 to December 2023, by delay reason¹

¹ Further information on the Delay Reason definitions is available in the Definitions we use section of this publication.

Delayed days in hospital

In December 2023 there were 58,258 days spent in hospital by people whose discharge was delayed. This is similar to the number of delayed days in December 2022 (58,211).

All delay reasons

This workbook contains summary statistics for delayed discharges for all delay reason groupings.

Standard delay reasons

This workbook contains statistics for delays in discharge due to standard reasons (health & social care reasons and patient & family related reasons).

Complex delay reasons

This workbook contains statistics for delays in discharge due to code 9 (complex) reasons - Adults with Incapacity (AWI) and other code 9 reasons (non-AWI).

Open data

Data from this publication is available to download from the Scottish Health and Social Care Open Data portal.

General enquiries

If you have an enquiry relating to this publication, please contact Simon Quirk at phs.delayeddischarges@phs.scot.

How we calculate our figures

The average number of beds occupied per day is calculated by dividing the total monthly number of delayed discharge bed days by the number of days in the calendar month.

We consider this daily average a better statistic for comparing month-on-month differences as the number of days in a month varies.

The percentage change is based on rounded figures.

Effects of COVID-19 on figures

The measures put in place to respond to COVID-19 have affected the delayed discharge figures in NHSScotland.

The marked fall in delayed discharges during 2020 is likely to be due to patients being moved out of hospital to increase capacity.

Definitions we use

Delay reasons

Since April 2016, following the integration of health and social care partnerships, delays are reported in three main categories.

Delays due to health and social care reasons and patient, family and carer-related reasons can be aggregated into a single standard delay reasons category.

Code 9 complex reasons can be split into:

• code 9 - Adults with incapacity (AWI) reasons
• code 9 - other reasons

The latest data definitions and national data requirements came into effect on 1 July 2016. See data definitions and reporting for more information.

The figures in this publication are not directly comparable with other UK countries. This is due to differences in definitions and data reporting.

Statistical designation

This is an Accredited official statistics publication

Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. Accredited official statistics status means that the official statistics meet the highest standards of trustworthiness, quality and public value. They are identified by the quality mark shown above.

All official statistics should comply with the UK Statistics Authority’s Code of Practice which promotes the production and dissemination of official statistics that inform decision making.

Once statistics become accredited official statistics, it is a statutory requirement that the Code of Practice shall continue to be observed.

These official statistics were independently reviewed by the Office for Statistics Regulation in September 2011. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘Accredited official statistics'.

Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly with any comments about how we meet these standards.

Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

Find out more about the Code of Practice by visiting the UK Statistics Authority website.

Find out more about Accredited official statistics on the UK Statistics Authority website.

Further information about our statistics and PHS as an Official Statistics producer.

Pre-release access

Under terms of the "Pre-release Access to Official Statistics (Scotland) Order 2008", PHS is obliged to publish information on those receiving pre-release access ("pre-release access" refers to statistics in their final form prior to publication). The standard maximum pre-release access is five working days. Shown below are details of those receiving standard pre-release access.

Standard pre-release access:

• Scottish Government Department of Health and Social Care (DHSC)
• NHS board chief executives
• NHS board communication leads
• Chief Officers of Integrated Joint Boards formed under the Public Bodies (Joint Working) (Scotland) Act 2014 (external website).

More information about delayed discharges

Find out more information about delayed discharges, including data definitions and reporting.

About Public Health Scotland (PHS)

PHS is a knowledge-based and intelligence driven organisation with a critical reliance on data and information to enable it to be an independent voice for the public’s health, leading collaboratively and effectively across the Scottish public health system, accountable at local and national levels, and providing leadership and focus for achieving better health and wellbeing outcomes for the population. Our statistics comply with the Code of Practice for Statistics in terms of trustworthiness, high quality and public value. This also means that we keep data secure at all stages, through collection, processing, analysis and output production, and adhere to the ‘five safes’.