title: Measuring health status: information for primary care decision making.
abstract: Primary Care Trusts (PCTs), charged with improving the health of their population, need to measure the extent to which patients actually benefit from the health care that is provided for them. One way of achieving this is to measure health status of patients over time. The study described here reports on the feasibility of administering the EQ-5D in general practitioner (GP) surgeries and identifies how the results might be used by practices and PCTs to improve the health of their populations. The study took place in an opportunistic sample of 1942 patients attending GP surgeries. One year later, patients who had provided contact details were sent another EQ-5D together with a request for additional information about their use of health care services in the intervening time period. A total of 770 patients completed this follow-up questionnaire. There were significant age effects associated with variation in self-reported health status and also associated with top-level Read diagnostic codes in some groups of patients. The results showed that EQ-5D could be used by individual GP practices to identify patients with specific health problems. This knowledge can also be used by PCTs and other primary care organisations, to better target scarce health resources.
authors.affiliation: Outcomes Research Group, Centre for Health Economics, University of York, York YO1 5DD, UK. pk1@york.ac.uk
authors.forename: Paul
authors.initials: P
authors.lastname: Kind
authors.forename: Geoff
authors.initials: G
authors.lastname: Hardman
authors.forename: Brenda
authors.initials: B
authors.lastname: Leese
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D003657:Decision Making; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D004739:England; D005194:Family Practice / Q000592:standards / Q000706:statistics & numerical data*; D005240:Feasibility Studies; D005260:Female; D006305:Health Status Indicators; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D009819:Office Visits / Q000706:statistics & numerical data; D011320:Primary Health Care / Q000592:standards / Q000706:statistics & numerical data*; D012017:Referral and Consultation / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires; D016896:Treatment Outcome