Publication, Part of Health and Care of People with Learning Disabilities
Health and Care of People with Learning Disabilities Experimental Statistics 2020 to 2021
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 2021: Learning Disabilities Health Check Scheme - NHS England Digital
13 May 2026 16:42 PM
Metadata
Indicator definitions
Indicator IDs and descriptions can be found in the Business Rules.
Details of the indicators relating to each age band are provided as part of the publication.
CSV
| Field | Description |
| DATASET | Name of the data collection |
| PERIOD | Financial year of the reporting period |
| ONS_CODE | Office for National Statistics (ONS) geographies code for the Clinical Commissioning Group (CCG) |
| CCG_CODE | Organisation Data Service (ODS) geographies code for the Clinical Commissioning Group (CCG) |
| CCG_NAME | Name of the CCG |
| MEASURE | Indicator ID (see Business Rules for indicator IDs with descriptions |
| SEX | Sex |
| AGE_BAND | Age band |
| VALUE | Value |
Calculation Methodologies
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.
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)
Rates
The rate of events r is given by: \(r=\frac{O}{n}\)
where
O is the numerator observed number of individuals in the sample/population having the specified characteristics.
n is the denominator population-years at risk.
The 95% confidence intervals are given by
\(r_{lower}=\frac{\text{O }_{lower}}{n}\)
\(r_{upper}=\frac{\text{O }_{upper}}{n}\)
where Olower and Oupper are the lower and upper confidence limits for the observed number of events.
Using Byar's method, the 95% confidence limits for the observed number of events are given by
\(O_{lower}=O\times\begin{pmatrix}1-\frac{1}{9O}-\frac{z}{3\sqrt{O}}\end{pmatrix}^3\)
\(O_{upper}=(O+1)\times\begin{pmatrix}1-\frac{1}{9(O+1)}-\frac{z}{3\sqrt{(O+1)}}\end{pmatrix}^3\)
where z is the 97.5th percentile of the Standard Normal Distribution (1.96).
For small numerators, Byar's method can be less accurate and an exact method based on the Poisson distribution is used for all numerators less than 389. Using the link between the Poisson and X2 distributions, the equations for Olower and Oupper above can be replaced by
\(O_{lower}=\frac{\chi^2\text{ }_{ lower}}{2}\)
\(O_{upper}=\frac{\chi^2\text{ }_{ upper}}{2}\)
where
χ2lower is the 100(1–0.05/2)th percentile value from the χ2 distribution with 2O degrees of freedom
χ2upper is the 100(0.05/2)th percentile value from the χ2 distribution with 2O+2 degrees of freedom
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.
Using Byar's method, the 95% confidence limits for the observed number of events are given by
\(O_{lower}=O\times\begin{pmatrix}1-\frac{1}{9O}-\frac{z}{3\sqrt{O}}\end{pmatrix}^3\)
\(O_{upper}=(O+1)\times\begin{pmatrix}1-\frac{1}{9(O+1)}-\frac{z}{3\sqrt{(O+1)}}\end{pmatrix}^3\)
Where z is the 97.5th percentile of the standard Normal distribution (1.96)
For small numerators, Byar's method can be less accurate and an exact method based on the Poisson distribution is used for all numerators less than 389.
Using the link between the Poisson and χ2 distributions, the equations for Olower and Oupper above can be replaced by
\(O_{lower}=\frac{\chi^2\text{ }_{ lower}}{2}\)
\(O_{upper}=\frac{\chi^2\text{ }_{ upper}}{2}\)
where
χ2lower is the 100(1–0.05/2)th percentile value from the χ2 distribution with 2O degrees of freedom
χ2upper is the 100(0.05/2)th percentile value from the χ2 distribution with 2O+2 degrees of freedom
Last edited: 13 May 2026 4:42 pm