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Primary Care Dementia Data: Publication Format Update

This page aims to provide information relating to the format of the data published within the Primary Care Dementia Data (PCDD) publication. This page was specifically developed following the PCDD consultation in 2026, which resulted in a significant change to the format and content of the publication, to aid users understanding of how to use the publication content in its new format.

This guidance shows users where data was previously located within the publication outputs prior to 2026/27, and where it can be found now, as well as including information on how to perform calculations which are no longer included within the publication.

CSV Files

Several CSV files containing various different measures were consolidated into two CSV files. The tables below show the previous file location for each measure, and its current location as well as any relevant comments regarding required filtering or calculations.

Please note that the pcdem-nhs-rate and pcdem-la-rate .csv files are not included within the table below as there has been no change to the format or content of these files.

Assessments, care plans, reviews and referrals

Measure Previous file name Current file name Comments

ASS_Declined_GP_Mem_Ass

pcdem-prac-ass-plans-mmm-yyyy   Data no longer collected

ASS_Declined_GP_Mem_Clinic

pcdem-prac-ass-plans-mmm-yyyy   Data no longer collected

ASS_Received_GP

pcdem-prac-ass-plans-mmm-yyyy   Data no longer collected

ASS_Received_GP_Mem_Ass

pcdem-prac-ass-plans-mmm-yyyy   Data no longer collected

ASS_Received_GP_Mem_Clinic

pcdem-prac-ass-plans-mmm-yyyy   Data no longer collected

DEMENTIA_REGISTER_0_64

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_REGISTER_0_64'

DEMENTIA_REGISTER_65_PLUS

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_REGISTER_65_PLUS'

DIAG_Declined_Care_Plan

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'REVIEWS' and filter BREAKDOWN field to 'DIAG_DECLINED_CARE_PLAN'

DIAG_Received_Care_Plan

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'REVIEWS' and filter BREAKDOWN field to 'DIAG_RECEIVED_CARE_PLAN'

DIAG_Received_Med_Rev

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'REVIEWS' and filter BREAKDOWN field to 'DIAG_RECEIVED_MED_REV'

PAT_LIST_0_64

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'PAT_LIST' and filter BREAKDOWN field to 'PAT_LIST_0_64'

PAT_LIST_65_PLUS

pcdem-prac-ass-plans-mmm-yyyy pcdem-practice-mmm-yyyy Filter MEASURE field to 'PAT_LIST' and filter BREAKDOWN field to 'PAT_LIST_65_PLUS'

Where data is no longer collected this means that it was removed from the service specification therefore the data is no longer extracted, and is not available for publication.

Please note that within the practice level measures CSV file data is provided at practice level only; mapping to higher geographies is provided within the mapping CSV file.

Dementia register by ethnicity

Measure Previous file name Current file name Comments

ASIAN_OR_ASIAN_BRITISH

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

BLACK_OR_AFRICAN_OR_CARIBBEAN_OR_BLACK_BRITISH

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

INCONCLUSIVE_ETHNIC_GROUP

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

MIXED_OR_MULTIPLE_ETHNIC_GROUPS

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

NOT_DEFINED

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

NOT_STATED

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

OTHER_ETHNIC_GROUP

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

WHITE

pcdem-sicbl-ethnicity-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'ETHNICITY' and select appropriate ethnicity from ETHNICITY field

 

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

Dementia register by dementia type

Measure Previous file name Current file name Comments

ALZHEIMERS_DISEASE

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

FRONTOTEMPORAL

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

INCONCLUSIVE_DEMENTIA_TYPE

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

LEWY_BODY

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

MIXED_DEMENTIA_TYPES

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

OTHER_SPECIFIED_DEMENTIA_TYPES

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

OTHER_UNSPECIFIED_DEMENTIA_TYPES

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

VASCULAR_DEMENTIA

pcdem-sicbl-dem-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'DEMENTIA_TYPE' and select appropriate dementia type from DEMENTIA_TYPE field

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

Dementia register by residence type

Measure Previous file name Current file name Comments

INCONCLUSIVE_RESIDENTIAL_TYPE

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

NO_PERMANENT_ADDRESS

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

NURSING_HOME

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

OTHER_RESIDENTIAL_TYPE

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

PRIVATE_RESIDENCE

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

RESIDENTIAL_CARE_HOME

pcdem-sicbl-res-type-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'RESIDENCE_TYPE' and select appropriate dementia type from RESIDENCE_TYPE field

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

 

Dementia register by age band/gender

Measure Previous file name Current file name Comments
ALL_AGED_65_69 pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
ALL_AGED_70_74 pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
ALL_AGED_75_79 pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
ALL_AGED_80_84 pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
ALL_AGED_85_89 pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
ALL_AGED_90_PLUS pcdem-sicbl-age-sex-mmm-yyyy   This breakdown is no longer provided as it can be calculated by aggregating the relevant age band for both male and female gender breakdowns provided within the sub ICB level measures file.
FEMALE_AGED_65_69 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
FEMALE_AGED_70_74 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
FEMALE_AGED_75_79 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
FEMALE_AGED_80_84 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
FEMALE_AGED_85_89 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
FEMALE_AGED_90_PLUS pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_65_69 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_70_74 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_75_79 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_80_84 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_85_89 pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MALE_AGED_90_PLUS pcdem-sicbl-age-sex-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN field to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields

 

Please note that additional age band / gender breakdowns of the dementia register are provided from 2026/27. The additional age bands published for both male and female genders are: 0-39, 40-44, 45-49, 50-54, 55-59, 60-64.

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

 

Antipsychotic medication prescribing

Measure Previous file name Current file name Comments
DEM_REGISTER pcdem-prac-anti-psy-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REG ISTER' and filter BREAKDOWN to 'AGE_GENDER' and aggregate the values
NO_PSY_DIAG pcdem-prac-anti-psy-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REG ISTER' and filter BREAKDOWN to 'AGE_GENDER' and aggregate the values
NO_PSY_DIAG_WITH_ANTIPSYMEDS pcdem-prac-anti-psy-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'PRESCRIBING' and filter BREAKDOWN field to 'NO_PSY_DIAG_WITH_ANTIPSYMEDS'
PSY_DIAG pcdem-prac-anti-psy-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'PRESCRIBING' and filter BREAKDOWN field to 'PSY_DIAG'
PSY_DIAG_WITH_ANTIPSYMEDS pcdem-prac-anti-psy-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'PRESCRIBING' and filter BREAKDOWN field to 'PSY_DIAG_WITH_ANTIPSYMEDS'

  

Please note this data is now published at sub ICB level only.

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

 

Young onset dementia, incidence and delirium

Measure Previous file name Current file name Comments
INCIDENCE pcdem-sicbl-incidence-onset-delirium-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'INCIDENCE' 
DELIRIUM_12M pcdem-sicbl-incidence-onset-delirium-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DELIRIUM_12M' 
YOUNG_ONSET pcdem-sicbl-incidence-onset-delirium-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'YOUNG_ONSET' 
PAT_LIST_ALL pcdem-sicbl-incidence-onset-delirium-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'PAT_LIST' and filter BREAKDOWN to 'AGE_GENDER' and aggregate the values
DEMENTIA_REGISTER pcdem-sicbl-incidence-onset-delirium-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN to 'AGE_GENDER' and aggregate the values

 

 

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

 

Palliative care and comorbidities

Measure Previous file name Current file name Comments
PALLIATIVE_CARE pcdem-sicbl-comor-pall-care-mmm-yyyy cdem-sub-icb-mmm-yyyy Filter MEASURE field to 'PALLIATIVE_CARE' 
COMORBIDITIES pcdem-sicbl-comor-pall-care-mmm-yyyy cdem-sub-icb-mmm-yyyy Data no longer collected
DEMENTIA_REGISTER_65_PLUS pcdem-sicbl-comor-pall-care-mmm-yyyy cdem-sub-icb-mmm-yyyy F

ilter MEASURE field to 'DEMENTIA_REGISTER' and filter BREAKDOWN to 'AGE_GENDER' and filter AGE field to:

  • 65_69
  • 70_74
  • 75_79
  • 80_84
  • 85_89
  • 90_plus

and aggregate the values

 

Where data is no longer collected this means that it was removed from the service specification therefore the data is no longer extracted, and is not available for publication.

Please note that within the sub ICB level measures CSV file data is provided at sub ICB level only; mapping to higher geographies is provided within the mapping CSV file.

 

Mild cognitive impairment (MCI)

Measure Previous file name Current file name Comments
MCI_FEMALE_AGED_40_44 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_45_49 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_50_54 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_55_59 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_60_64 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_65_69 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_70_74 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_75_79 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_80_84 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_85_89 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_FEMALE_AGED_90_PLUS pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_40_44 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_45_49 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_50_54 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_55_59 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_60_64 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_65_69 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_70_74 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_75_79 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_80_84 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_85_89 pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields
MCI_MALE_AGED_90_PLUS pcdem_sicbl-cog-imp-mmm-yyyy pcdem-sub-icb-mmm-yyyy Filter MEASURE field to 'MCI' and filter BREAKDOWN to 'AGE_GENDER' and select appropriate age and gender from the AGE and GENDER fields

 


National Excel Summary File

From 2026/27 the national excel summary file is no longer produced. The information in the tables below describes the data and measures which were previously available within the excel summary file and information regarding where and how these figures can be calculated using the data in the updated format.

Table 1 - National counts of various measures

Measure Comments
Open practices This count is no longer provided. It can be derived from the Patients Registered at a GP Practice publication.
Included practices This count is no longer provided. It can be derived from the pcdem-practice-mmm-yyyy.csv file by counting the distinct number of practice codes
Practice coverage (%)

This proportion is no longer provided as data coverage is consistently high at ~98%. Where this is not the case, a caveat will be provided within the publication notes and caveats

This proportion can be calculated using the open and included counts described below with the following formula:

Practice coverage = Included / Open * 100

Recorded dementia diagnoses

  • all ages
  • 0-64
  • 65+

These counts can be derived from the pcdem-practice-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER' and aggregating the values accordingly dependent on the age breakdown you require.

This data is also available within the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER', filtering BREAKDOWN to AGE_GENDER' and aggregating the values accordingly dependent on the age breakdown you require.

Registered to a GP

  • all ages
  • 0-64
  • 65+

These counts can be derived from the pcdem-practice-mmm-yyyy.csv file by filtering MEASURE to 'PAT_LIST' and aggregating the values accordingly dependent on the age breakdown you require.

This data is also available within the ppcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'PAT_LIST', filtering BREAKDOWN to AGE_GENDER' and aggregating the values accordingly dependent on the age breakdown you require.

Recorded prevalence

  • All ages
  • 0-64
  • 65+

This calculation is no longer provided. 

This proportion can be calculated using the 'Recorded dementia diagnoses' and 'Registered to a GP' counts described above with the following formula (for whichever age breakdown you require):

Prevalence = Recorded dementia diagnoses / Registered to a GP * 100

Diagnosis rate

  • Estimated diagnoses
  • Diagnosis rate (%)
  • Lower 95& confidence limit
  • Upper 95% confidence limit

This data is available in either the pcdem-nhs-rate-mmm-yyyy or pcdem-la-rate-mmm-yyyy CSVs.

Filter ORG_TYPE to COUNTRY_RESPONSIBILITITY or COUNTRY_GEOGRAPHICAL and the associated values for estimated diagnoses, diagnosis rate and confidence intervals are provided.

Assessments in reporting year

  • Record of receiving a dementia assessment
  • Record of an initial memory assessment
  • Record of declining an initial memory assessment
  • Record of referral to a memory clinic
  • Record of declining a referral to a memory clinic

Data is no longer collected as it was removed from the service specification therefore the data is no longer extracted, and is not available for publication.

Additional measures relating to referrals have been added to the specification and are published within the pcdem-sub-icb-mmm-yyyy CSV file.

Medication reviews These counts can be derived from the pcdem-practice-mmm-yyyy.csv file by filtering MEASURE to 'REVIEWS', filtering BREAKDOWN to 'DIAG_RECEIVED_MED_REV' and aggregating the values

Care plans and reviews

  • Received
  • Declined
These counts can be derived from the pcdem-practice-mmm-yyyy.csv file by filtering MEASURE to 'REVIEWS', filtering BREAKDOWN to 'DIAG_RECEIVED_CARE_PLAN' or 'DIAG_DECLINED_CARE_PLAN' and aggregating the values accordingly

Recorded dementia diagnoses:

  • With a diagnosis of psychosis
  • Without a diagnosis of psychosis

Antipsychotic prescribing:

  • with a diagnosis of psychosis
  • without a diagnosis of psychosis

 

These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'PRESCRIBING' and filtering BREAKDOWN to:

  • PSY_DIAG
  • NO_PSY_DIAG
  • PSY_DIAG_WITH_ANTIPSYMEDS
  • NO_PSY_DIAG_WITH_ANTIPSYMEDS

and aggregating the values accordingly

Recorded dementia diagnoses before age 65

These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'YOUNG_ONSET' and aggregating the values accordingly

Newly diagnosed with dementia These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'INCIDENCE' and aggregating the values accordingly
Delirium diagnoses within a 12 month period These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DELIRIUM_12M' and aggregating the values accordingly
One or more comorbidities 65+ Data is no longer collected as it was removed from the service specification therefore the data is no longer extracted, and is not available for publication.
Record of receiving palliative care 65+ These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'PALLIATIVE_CARE' and aggregating the values accordingly
Mild cognitive impairment without a diagnosis of dementia 40+ These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'MCI' and aggregating the values accordingly

 

Table 2 - Dementia diagnoses by age group and gender

Measure Comments
Count of recorded dementia diagnoses by age group and gender These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER' and filtering the BREAKDOWN to 'AGE_GENDER', selecting the appropriate AGE and GENDER from those fields, aggregating the values accordingly.
Proportion of recorded diagnoses by age group and gender

These proportions can be derived using the counts described above. Proportions are calculated using the following formula:

Count of patients with recorded diagnosis of dementia in relevant age band and gender / Count of patients with recorded diagnosis of dementia in relevant gender

e.g. male patients aged 90+ with dementia / all male patients with dementia

Table 3a - Dementia diagnoses by ethnic group

Measure Comments
Count of recorded dementia diagnoses by ethnic group These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER' and filtering the BREAKDOWN to 'ETHNICITY', selecting the appropriate ethnic group from the ETHNICITY field, aggregating the values accordingly.
Proportion of recorded diagnoses by ethnic group

These proportions can be derived using the counts described above. Proportions are calculated using the following formula:

Count of patients with recorded diagnosis of dementia in relevant ethnic group / Count of all patients with recorded diagnosis of dementia

e.g. Asian or Asian British patients with dementia / all patients with dementia

 

Table 3b - Dementia diagnoses by dementia type

Measure Comments
Count of recorded dementia diagnoses by dementia type These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER' and filtering the BREAKDOWN to 'DEMENTIA_TYPE', selecting the appropriate ethnic group from the DEMENTIA_TYPE field, aggregating the values accordingly.
Proportion of recorded diagnoses by dementia type

These proportions can be derived using the counts described above. Proportions are calculated using the following formula:

Count of patients with recorded diagnosis of dementia in relevant dementia type / Count of all patients with recorded diagnosis of dementia

e.g. patients with Alzheimer's disease / all patients with dementia

 

Table 3c - Dementia diagnoses by residential type

Measure Comments
Count of recorded dementia diagnoses by residence type These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file by filtering MEASURE to 'DEMENTIA_REGISTER' and filtering the BREAKDOWN to 'RESIDENCE_TYPE', selecting the appropriate ethnic group from the RESIDENCE_TYPE field, aggregating the values accordingly.
Proportion of recorded diagnoses by residence type

These proportions can be derived using the counts described above. Proportions are calculated using the following formula:

Count of patients with recorded diagnosis of dementia in relevant residence type / Count of all patients with recorded diagnosis of dementia

e.g. patients with dementia living in a nursing home / all patients with dementia

 

Table 4 - 65+ estimated diagnosis rate b organisation of responsibility

 

All data from table 4 can be found within the pcdem-nhs-rate-mmm-yyyy or pcdem-la-rate-mmm-yyyy CSV files. 

Users should filter on the ORG_TYPE, ORG_CODE, ONS_CODE, NAME and MEASURE to locate the appropriate values.

 

Table 5 - Patients with a diagnosis of dementia and a prescription for anti-psychotic medication in the last 6 weeks

These counts can be derived from the pcdem-sub-icb-mmm-yyyy.csv file. For geographies higher than sub ICB level e.g. ICB and Region, data will need joining to the mapping file via the sub ICB ODS code and aggregating to the relevant geography.

The Dementia Register can be derived by filtering MEASURE to 'DEMENTIA_REGISTER' and filtering BREAKDOWN to 'AGE_SEX' and aggregating accordingly.

The antipsychotic prescription counts can be derived by filtering MEASURE to 'PRESCRIBING' and filtering BREAKDOWN to the following and aggregating accordingly.

  • PSY_DIAG_WITH_ANTIPSYMEDS
  • NO_PSY_DIAG_WITH_ANTIPSYMEDS

 

Last edited: 23 July 2026 11:44 am