Neighbourhood estimates on health conditions: What’s the story in your area?

Decorative image with the text "data analysis"

The latest additions to Local Insight are an interesting bunch. Not least because they are local health datasets and also because they are so relevant to a number of different sectors, job roles and priorities.

The 21 new indicators added look at estimated prevalence of a number of health conditions. Read on for more information on the datasets, a closer look at the prevalence of dementia and how you can explore the data for yourself.

More on the data:

The new indicators were originally collected and published at GP practice level by NHS Digital. Data collected at GP level can be very valuable for identifying the health challenges experienced by individual GP practices and their patients. However, for the purpose of analysis, it can present some challenges as it is not straightforward to link practice data to standard statistical geographies – patients living in the same neighbourhoods can attend different GP practices, and patients are not necessarily registered with their local GP, so it is difficult to straightforwardly attribute GP data to the neighbourhood in which the GP is located in.

The Commons Library have recently taken these indicators and aggregated them to MSOA level in order to estimate disease prevalence, so that the insights from the data can be used in a more place-based way.

The 21 new indicators are the estimated prevalence of Atrial Fibrillation, Asthma, Cancer, Coronary Heart Disease, Chronic Kidney Disease, COPD, Cardiovascular Disease, Dementia, Depression, Diabetes, Epilepsy, Heart Failure, High Blood Pressure, Learning Disabilities, Serious Mental Illness, Obesity, Osteoporosis, Peripheral Arterial Disease, Pallative Care, Rheumatoid Arthritis, Stroke and Transient Ischaemic Attack.

For more detail on the methodology used to aggregate GP level data to MSOA, take a look at The Commons Library’s documentation.

Health warnings:

As with any dataset, these indicators come with their own challenges and caveats. These datasets are estimates­ and based upon what has been reported to GPs. The following guidance on using the datasets has been taken from The Commons Library:

  • These figures are only estimates and some divergence between separate areas served by an individual GP practices is bound to be lost.
  • In attributing GP practice-level data to different areas, weighting adjustments have been made in respect of the relevant age category (e.g. diabetes prevalence is measured for age 17+ only), based on the varying age profiles of different small areas.
  • For some conditions, the proportion of people on GP registers is less than the proportion of the people living with the disease. For example: only 67.5% of cases of dementia are estimated to have been diagnosed, and 29% of adults are obese compared with 10% identified on GP registers. The prevalence estimates here represent only those cases diagnosed by a GP.
  • These estimates are sensitive to the quality and consistency of data reporting by GPs. People who are not registered at GP practices are not included in the estimates – either in the numerator or the denominator.
  • Some GP practices did not submit data in 2017/18. In these areas, data for 2016/17 was used.
  • Comparable figures can’t be calculated on the same basis for Scotland, Wales or Northern Ireland.

A closer look at dementia:

Dementia Prevalence across Berkshire and the surrounding areas. Map taken from Local Insight.

Using Local Insight, we have taken a look at one of the indicators in more detail – the estimated prevalence of dementia across Bracknell Forest. The estimate is calculated as a percentage and is based on the number of people listed on GP registers in 2017/18, and the number of people recorded as having dementia.

The estimated prevalence of dementia at a national level is 0.8%. Bracknell Forest has a slightly lower estimated prevalence at 0.6%. This is equal to the average prevalence across the whole of Berkshire (defined as Bracknell Forest, Reading, Slough, West Berkshire, Windsor and Maidenhead, Wokingham). Of the local authorities in Berkshire, Windsor and Maidenhead has the highest estimated prevalence of dementia (0.9%) and Slough the lowest (0.4%).

When looking at the estimated prevalence of dementia across wards in Bracknell Forest, Crown Wood ward has the lowest estimated prevalence of dementia (0.3%) and and Winkfield and Cranbourne ward has the highest (1.2%).

Estimated prevalence of dementia across wards in Bracknell Forest. Table taken from Local Insight.

Explore in Local Insight:

Digging into the data for the areas you care about is made super simple with Local Insight. It provides instant access to more than 900 local datasets, including a wide range of health related datasets.  

To take a look for yourself and gain a better understanding of health conditions to inform decisions, request a free trial of Local Insight.


Featured posts

Decorative image with the text "Data and resources"

Resources and data

UKGrantmaking and Community Foundations

What is UKGrantmaking? UKGrantmaking is a landmark publication on the state of…

Decorative image with the text "Data and resources"

Data analysis

Marmot Principles and neighbourhood level data

The Marmot Review, published back in 2010, still has important implications today…

Decorative image with the text "OCSI news"

OCSI news

Announcing Local Insight 2.0, the place-based data platform from OCSI

We are proud to announce that we have successfully redeveloped and launched…

Case studies
Data analysis
Indices of Deprivation
left behind neighbourhoods
OCSI news
Research Projects
Resources and data