|Date:||Thursday, 17th January 2013|
|Time:||1 pm - 2.45 pm (12.45 for sandwiches)|
|Venue:||Seminar Room 2, PCPH, Upper 3rd Floor, UCL (Royal Free Campus)|
|1 pm||Sam Bulford||Qualitative exploration of sexual health in old age|
|1.15 pm||Tom Nolan||Micromapping population health data: an exploratory study|
|A systematic review of undergraduate medical education in the general practice setting|
|1.45 pm||Lisa Feldman||What characteristics are associated with help-seeking behaviours in people with symptoms suggesting dementia?|
|2 pm||Zoe Wang||Educating undergraduate medical students about unexplained physical symptoms: a systematic review|
|2.15 pm||Tom Nolan||Developing a risk calculator and support package for a diabetes self-management website|
population health data: an exploratory study
- Tom Nolan
If hotspots of disease, risk or health seeking behaviour exist within your practice boundary how would you know? The smallest geographical area for routine population health surveillance is the middle super output area, with an average population of 7200. Meanwhile, GPs can't be expected to notice geographical trends when consulting. Advances in mapping software mean that geographical data can be easily and intuitively displayed at low cost. If mapping of practice data by postcode, or micro-mapping, can be shown to reliably detect significant highly localised variations in health and health-seeking behaviour, a valuable new field of population health may emerge along with cost effective strategies for targeting health inequality.
To develop a methodology for plotting postcode level data that will enable highly localised geographical trends to be identified.
We created a random dataset for a fictitious outcome in a South London practice. After researching available mapping software we mapped the dataset using Quantum GIS software. Different ways to map the data were tested.
Different formats of displaying the data will be demonstrated. These highlight many of the challenges ahead, including graphical, statistical, and data protection issues.
As GPs become responsible for commissioning they will be expected to know, better than ever, their local population needs. Meanwhile, pressure on resources is greater than ever. Micromapping can give GPs a visual representation of their practice population needs and behaviour, and may help target cost effective interventions. This exploratory study demonstrates how this may be done and identifies the challenges that lie ahead.
a risk calculator and support package for a diabetes self-management website
- Tom Nolan
Page last modified on 17 jan 13 12:07 by Maryanne Ogbogbo