Hospital admission for long-term diseases (HALT)

General Practice Catchment Area Demo

Hospital admission for long-term diseases (HALT)

These indices show the total hospital admissions of long-term diseases, recorded 2001-2005 by Hospital Episode Statistics. The indices are part of research carried out at UCL into the geography of hospital admissions: can hospital admissions be predicted from the type of area you live in? How can geographical analysis improve the targeting of public health efforts in local areas?
An index value of 100 indicates that the number of admissions in that area is proportional to the overall rate forLondon, 200 is the double, 50 is half, etc.

How was HALT created?

The indices are calculated from the total hospital admissions of long-term diseases, recorded 2001-2005 by Hospital Episode Statistics Hospital Episode Statistics, standardised by base populations projected by Office for the National Statistics at Parliamentary Constituency level.

Where can I find out more?

Southwark Atlas of Health

Hospital Episode Statistics

Department of Health Long Term Conditions

General Practice Catchment Area Demo

The General Practice Catchment Area Demo shows the density of patients registered to a General Practice (GP) for the Borough of Southwark.

How was General Practice Catchment Area Demo created?

Kernel Density Estimation (KDE) techniques are particularly effective in the analysis of GP catchments areas (CAs) in urban environments because Primary Care Trusts tend allocate people to their closest surgeries.
50%, 75% and 95% Volume Contours were calculated from the KDE surface and they are shown by the red, blue and black lines.
50% Volume Contour can be interpreted as the “core” CA and can be also linked with other socio-economic variables to obtain a profile of the area surrounding the GP. This is potentially very useful when targeting health campaigns.

Where can I find out more?

Southwark Atlas of Health (General Practice Catchment section)

Paper about the methodology used presented at GISRUK 2007

Southwark Primary Care Trust