Publication, Part of Health and Care of People with Learning Disabilities
Health and Care of People with Learning Disabilities, Experimental Statistics 2024 to 2025
Experimental statistics, Other reports and statistics, Official statistics in development
Data Quality Notice
NHS England had identified an issue with the data for the following indicator which was reported in the Interactive Visualisation Tool and the data csv file for this publication:
LDOB080 - Number of patients recorded on their general practice’s Learning Disabilities Register aged 14 years or over who have received an annual learning disability health check and have been provided with a health action plan, as at the end of the reporting period.
The proportion of people on the learning disability register with a heath check and health action plan was lower than expected. We have investigated the issue and found an error in the data extraction. We have therefore removed LDOB080 from the published Power BI and csv files for years 2019-20 through to 2024-25. An alternative source of this data is available for this indicator and we recommend that you refer to the Learning Disability Health Check Scheme publication for March 2025: Learning Disabilities Health Check Scheme - NHS England Digital
13 May 2026 17:06 PM
Calculation Methodologies and Suppression
Proportions
The proportion p is given by \(p = \frac{O}{n}\)
where:
O is the numerator observed number of individuals in the sample/population having the specified characteristics.
n is the denominator total number of individuals in the sample/population.
Confidence Intervals
The 95% confidence intervals are given by
\(p_{lower}=\frac{(2O+z^2-z\sqrt{z^2+4Oq})}{2(n+z^2)}\)
\(p_{upper}=\frac{(2O+z^2+z\sqrt{z^2+4Oq})}{2(n+z^2)}\)
where: q is 1-p
z is the 97.5th percentile of the Standard Normal Distribution (1.96)
Indirectly Standardised Rates
Indirectly standardised rate (ISR) is given by
\(ISR=\frac{O}{E}\times 100 = \frac{\sum O_{ij}\\_{ij}}{\sum E_{ij}\\_{ij}}\times 100 = \frac{\sum O_{ij}\\_{ij}}{\sum n_{ij} \lambda_{ij}\\_{ij}}\times 100\)
where
Oij is the observed number of events in the subject population for each combination of age group i and sex j
Eij is the expected number of events in the subject population for each combination of age group i and sex j
nij is the number of individuals in the subject population for each combination of age group i and sex j
λij is the crude age-specific rate in the standard population for each combination of age group i and sex j
The 95% confidence intervals are given by
\(ISR_{lower}=\frac{\text{O }_{ lower}}{E}\)
\(ISR_{upper}=\frac{\text{O }_{ upper}}{E}\)
where
Olower and Oupper are the lower and upper confidence limits for the observed number of events.
Suppression
The presence of small numbers, combined with reasonably granular age and sex and in some cases ethnicity breakdowns, presents a risk of identification and/or self-identification. Data also pertains to sensitive information such as mental health.
As such, within the sub ICB level csv file the following suppression rules will be applied:
1. Zeros remain as zero
2. Counts 1 to 4 rounded to 5
3. Counts > 4 rounded to the nearest 5.
Last edited: 13 May 2026 5:45 pm