A set of data on aspects of dementia published on the myhealthlondon website. DEM0001 - Numbers of people with a diagnosis DEM0002 - Diagnosis rates DEM0003 - Care reviews for GP patients DEM0004 - Dementia today DEM0005 - Spend on anti-dementia drugs DEM0006 - Waiting to be tested by Memory Clinics DEM0007 - Waiting for results at Memory Clinics DEM0008 - Looking for dementia in hospital DEM0009 - Assessing dementia in hospital DEM0010 - Referring people for further tests DEM0011 - Help to remain at home DEM0012 - Dying with dementia in hospital DEM0013 - Involving people in research DEM0014 - Length of stay in hospital DEM0015 - Making sure people are treated well in hospital DEM0016 - Caring for people in hospital DEM0017 - Meeting mental health needs of people in hospital DEM0018 - Helping people when they leave hospital DEM0019 - Understanding people's needs in hospital DEM0020 - Recognising dementia in hospital DEM0021 - Training staff on dementia in hospital DEM0022 - Resources for supporting people in hospital DEM0023 - Specialist dementia care for people in hospital DEM0024 - Delays in leaving hospital DEM0025 - Going back into hospital Data are provided in a standardised schema with each record containing an indicator ID and organisation ID. These can be matched against the Indicator Lookup, Organisation Lookup and Period Lookup tables included in the file, which also includes further metadata.

This dataset reports the dementia diagnosis rate among individuals aged 65 and over in England. It reflects the proportion of people within this age group who have a recorded diagnosis of dementia, compared to the estimated number of people expected to have dementia based on prevalence models. The data is derived from General Practice records and national prevalence estimates, offering a view into how effectively dementia is being identified and recorded in primary care settings.

Rationale

Improving the diagnosis rate of dementia is a key public health priority, as early identification allows for better care planning, support, and treatment. This indicator helps assess how well healthcare systems are performing in identifying dementia among older adults, and supports efforts to close the gap between estimated and recorded cases.

Numerator

The numerator includes patients aged 65 and older who are registered for General Medical Services and have an unresolved diagnosis of dementia. These counts are broken down by five-year age and sex bands and are extracted from GP Clinical Systems via the General Practice Extraction Service (GPES) on the last day of the reporting month.

Denominator

The denominator is the estimated number of people aged 65 and older expected to have dementia within the population. This estimate is calculated by applying reference prevalence rates to the registered population.

Caveats

From 2017 onwards, a new methodology was introduced for this indicator, which is not directly comparable with previous versions. As a result, overlapping time series data may show differing values. Users should exercise caution when comparing historical data.

External References

More information is available from the following sources:

Recorded Dementia Diagnoses - NHS Digital Primary Care Dementia Data - NHS Digital Fingertips Public Health Profiles

Localities ExplainedThis dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations:Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs).Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities.This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

The report looks into the various drivers of social exclusion amongst older people (although many of these indicators are equally relevant amongst all age groups) and attempts to identify areas in London where susceptibility is particularly high. Six key drivers have been included with various indicators used in an attempt to measure these. The majority of these indicators are at Lower Super Output Area (LSOA) level in an effort to identify areas at as small a geography as possible. Key Driver Indicator Description Economic Situation Income deprivation Income Deprivation Affecting Older People Score from the 2015 Indices of Deprivation Transport Accessibility Public Transport Average Public Transport Accessibility Score Car access Percentage aged 65 and over with no cars or vans in household Household Ties One person households Percentage aged 65+ living alone Providing unpaid care Percentage aged 65+ providing 50 or more hours of unpaid care a week Neighbourhood Ties Proficiency in English Percent aged 65+ who cannot speak English well Churn Rate Churn Rate: (inflow+outflow) per 100 population Health Mental health Estimated prevalence of dementia amongst population aged 65 and over (%) General health Percentage aged 65+ with a limiting long-term health problem or disability Safety Fear of crime Percentage in borough worried about anti-social behaviour in area Percentage in borough who feel unsafe walking alone after dark Crime rates Total offences per 100 population

This project comprises a study of factors affecting help-seeking among Chinese family caregivers of people living with dementia in China. Data were collected through individual semi-structured interviews and the transcripts analysed via reflexive thematic analysis. Code spreadsheets are uploaded by theme and subtheme, with data provided in both Chinese and English.This item shows coding for the five themes:"Caregivers' responses to dementia", which contains two subthemes: "Changes in the person living with dementia affect everyone" and "One of us owes the other"."Dementia through the caregiver's eye", which contains two subthemes: "An old child" and "Struggling against insurmountable symptoms"."Help-seeking may not help", which contains four subthemes: "Medical services", "Social and familial networks", External caregivers", and "Media information"."Perceptions of dementia", which contains three subthemes: "Caregivers' attributions", "Dementia should be hidden", and "The impact of not knowing"."It's a balancing act", which comprises a single theme with no subthemes.

Supplementary Information Files for: Does physical exercise improve the capacity for independent living in people with dementia or mild cognitive impairment: an overview of systematic reviews and meta-analysesObjective: To summarise existing systematic reviews which assessed the effects of physical exercise on activities of daily living, walking, balance and visual processing in people with dementia or mild cognitive impairment Methods: In this overview of systematic reviews and meta-analyses, seven electronic databases were searched to identify eligible reviews published between January 2015 and April 2021. Results: A total of 30 systematic reviews were identified and included in the overview. The most frequent type of exercise for the intervention group was multimodal exercises. Mind-body exercises, exergames, dance intervention and aerobic exercise were other exercise types. Most of the reviews reported that exercise is significantly effective for improving activities of daily living (SMD 95%CI, from 0.27 to 1.44), walking (SMD 95%CI, from 0.08 to 2.23), balance (SMD 95%CI, from 0.37 to 2.24) and visuospatial function (SMD 95%CI, from 0.16 to 0.51), which are among the most leading determinants of independent living in individuals with dementia or mild cognitive impairment. Conclusion: Evidence has shown that exercise (especially multicomponent exercise programmes including cognitive, physical and multitasking exercises) with sufficient intensity improves the activities of daily living skills. Exercise also improves walking, balance and visual processing, which can provide a more independent life for people with dementia and mild cognitive impairment. Cognitively impaired people should therefore be encouraged to exercise regularly in order to be more independent.

Objectives: The primary objective of this UK-based trial was to investigate the feasibility of conducting a multi-centre randomised controlled evaluation trial of Empowered Conversations (EC). EC is a 6-session group psychosocial intervention for family / informal care partners of people living with dementia.Methods: The feasibility trial used a pragmatic data-collector blind parallel two-group RCT design with two arms (EC intervention plus treatment as usual, and treatment as usual waitlist control). There was a 2:1 allocation in favour of the EC arm. Participants completed baseline outcome measures including measures of their psychological health, quality of life and service use. These were repeated after six-months. Results: Seventy-five care partners were recruited. The average number of people randomised per month was 8.9, consistent with the pre-specified average recruitment rate of 6 to 10 carers per month sufficient for proceeding to a multi-centre trial. A total of 58 (77%) participants were retained at 6 months follow up meeting the amber stop-go criterion (65%–

The KP is a study on elderly people living in a parish of Stockholm, Sweden. The study uses a longitudinal approach with the principal purpose of determining the natural history of Alzheimer’s disease and other dementias. The study population consists of all inhabitants of the Kungsholmen area in Stockholm, aged 75 years and above in October, 1987, who were born in 1912 or before. People living in institutions were included. The total number of participants at baseline was 2,368, consisting of 568 males and 1,800 females.

Semi-structured interviews were conducted between March and July 2019 in Scotland: Carers were eligible if they i) worked at least 20hrs/week; ii) cared at least 5hrs/week; iii) had combined work and care for at least 6 months; and iv) cared for a person with dementia living in a community setting.The topic guide included issues such as general challenges when combining work and care; any support used or needed; the impact of autonomy at work (regarding breaks, schedule and place) on these challenges; and their experiences, wants and needs regarding technologies (electronic and/or digital) which could offer support.Full ethical approval was granted by the ScHARR Research Ethics Committee at the University of Sheffield (Reference 022994).An Excel sheet with an overview of participants' characteristics for context can be requested from the author.

The 10/66 Puerto Rico study is a sub-study of the 10/66 Dementia Research Group's population-based research program. The aim of this program is to create a publicly accessible data archive from the 10/66 population-based surveys. These surveys include over 17,000 older people from six countries in Latin America and the Caribbean, India, China, and Nigeria. The 10/66 Puerto Rico cohort comprises all older residents aged 65 years and over, living in Bayamon, Puerto Rico, in the United States of America. At baseline, 20.6% of the sample were between the ages of 65 and 69 years, and 32.6% were 80 years and above. The baseline sweep took place in 2007, a second wave in 2012 and 2013, and a third wave in 2015 and 2016.

The Brain Health Data Pilot (BHDP) project aims to be a shared database (like a library) of information for scientists studying brain health, especially for diseases like dementia, which affects about 900,000 people in the UK. Its main feature is a huge collection of brain images linked to routinely collected health records, both from NHS Scotland, which will help scientists learn more about dementia and other brain diseases. What is special about this database is that it will get better over time – as scientists use it and add their discoveries, it becomes more valuable.

This is a subset of the Mental Health Inpatient and Day Case - Scottish Morbidity Record (SMR04) dataset for use in the Brain Health Data Pilot (BHDP) project.

The dataset contains a wide variety of information such as patient characteristics, mental health diagnosis, length of stay, destination on discharge, whether they are admitted under Mental Health Legislation and any previous psychiatric care. Patient identifiers such as name, date of birth, Community Health Index number, NHS number, and postcode are included together with a wide variety of geographical measures. This includes the Scottish Index of Multiple Deprivation and Carstairs measures, census output area, NHS Board, Electoral Ward and Parliamentary constituency.

Outcomes at 52 and 78 weeks for people with dementia and family carers by allocated group.

Background/Aims: Although caring for a person with dementia can be stressful, some caregivers appear to experience few negative consequences to their well-being. This study aimed to examine what proportion of caregivers demonstrates resilience under different challenging circumstances and to identify factors related to their resilience.Methods: Baseline data from 4 studies from the Netherlands and UK among informal caregivers of people with dementia were harmonized and integrated. Caregiver resilience was defined as high levels of psychological well-being despite different types of high caregiving demands. Multivariate regression analyses identified factors significantly related to caregiver resilience. Results: The integrated data set included 15 harmonized variables with data from 1,048 caregivers facing a high care demand. The prevalence of resilience varied between 35 and 43%, depending on the demand for high care. Being a male caregiver, caring for a female, living apart from your relative, and low caregiver burden were positively related to caregiver resilience.Conclusion: Caregivers have the capacity to demonstrate resilience despite significant challenges. This study demonstrates how harmonization of data from multiple existing studies can be used to increase power and explore the consistency of findings. This contributes to a better understanding of which factors are likely to facilitate caregiver resilience and offers insights for developing services.