Title:	Using national administrative data to evaluate new models of primary care
Project Description:	In this project we have developed new multi-morbidity scores for three different outcomes relevant in health services research (one year mortality, general practice consultations and unscheduled hospital admissions). We do this using contemporary electronic health records data from the UK. Our multi-morbidity scores are based on a list of conditions relevant to characterize multimorbidity in UK primary care published by Barnett et al. (2012). It is our intention to provide transparent, simple approaches to coding multi-morbidity in CPRD that will be useful for other researchers. This is a retrospective cohort study (including linked ONS and Basic HES data).
Sample group description:	A random sample of 300000 adults is used for multimorbidity score development, with two separate validation cohorts used to evaluate outcomes over 1 and 5 year follow-up periods.
Outcome measure description:	Adjusted rate or Cox regression (as appropriate) is used to model numbers of GP consultations, unscheduled hospitalisation and death, using model coefficients for weighting conditions in the score.
Project organisation
Start date:	1st January 2016
End date:	31st December 2018
Contact person:	Professor Martin Roland
Contact Details:	Primary Care Unit Institute of Public Health University Forvie Site, Robinson Way Cambridge Cambs CB2 0SR UK Telephone: (01223) 762033 Fax: 01223 762515 E-mail: martin.roland@medschl.cam.ac.uk
Collaborative:	Dr Katie Saunders Dr Silvia Mendonca
Funding information
Funding Organisation:	School for Primary Care Research
Funding Reference:	FR10
Funding Amount:
Further Information, References and Publications
Project at School for Primary Care Research (NIHR)