Title:	Developing and validating measures of multimorbidity
Project Description:	In this project we aim to develop new multi-morbidity scores for three different outcomes relevant in health services research (one year mortality, general practice consultations and unscheduled hospital admissions). We will 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.
Methodology description:	This is a retrospective cohort study (including linked ONS and Basic HES data). A random sample of 300,000 adults will be used for multimorbidity score development, with two separate validation cohorts used to evaluate outcomes over 1 and 5 year follow-up periods. Adjusted rate or Cox regression (as appropriate) will be 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:	Dr Silvia Mendonca
Contact Details:	Primary Care Unit Institute of Public Health University Forvie Site, Robinson Way Cambridge Cambs CB2 0SR UK Telephone: tba Fax: 01223 762515 E-mail: sm2061@medschl.cam.ac.uk
Funding information
Funding Organisation:	NIHR School for Primary Care Research
Funding Reference:	New models of primary care
Funding Amount:	£124,025
Further Information, References and Publications