SUPPORTING THE ROUTINE COLLECTION OF PATIENT REPORTED OUTCOME MEASURES IN THE NATIONAL CLINICAL AUDITS FOR ASSESSING COST EFFECTIVENESS Work Package 1 - What patient reported outcome measures should be used in the 13 health conditions specified in the 2013/14 National Clinical Audit programme? Appendix D, Epilepsy.

The Policy Research Unit in Economic Evaluation of Health and Care Interventions (EEPRU) was approached by Jason Cox (Research and Development (R&D) Division) to prepare a programme of research to support the appropriateness of, and use of, patient reported outcome measures (PROMs) collected for the National Clinical Audit (NCA). The EEPRU programme was informed by a R&D template prepared by Simon Bennett, Steve Fairman and Keith Willett at National Health Service (NHS) England. The purpose of introducing PROMs into the NCA programme is to be able to 1) compare performance between providers and commissioners in the NHS, 2) compare the cost-effectiveness of alternative providers in delivering the specific services (i.e. linking outcomes and resource use), and 3) assess the cost-effectiveness of alternative interventions and other changes in the NHS. The intention is to introduce PROMs across a range of conditions over the next 3 years commencing with 13 conditions in the 2014/15 NCA programme. The agreed research programme consists of 3 concurrent work packages (WP) as described in the document submitted to the Department of Health (DH) (8th November 2013). The current document provides details on the objectives, methodology and results for Work Package 1 (WP1): to determine what PROMS should be used in the 13 health conditions specified in the 2014/15 NCA programme. 2. OVERVIEW WP1 is split into three separate components consisting of: WP1.1 To examine whether the EuroQol-5D (EQ-5D) is appropriate in the 13 health conditions specified in the 2013/14 NCA programme. WP1.2 To identify what measure could be used when the EQ-5D is not appropriate in the 13 health conditions, taking into account that the proposed measure would be used to generate preference-based utility measures (either directly through existing preference-based weights, or indirectly through existing mapping functions suitable for the proposed measure). WP1.3 To identify the evidence required to address questions of cost-effectiveness using ...