Abstract

Table of contentsS1 Using computerized adaptive testingTim CroudaceS2 Well-being: what is it, how does it compare to health and what are the implications of using it to inform health policyJohn BrazierO1 “Am I going to get better?”—Using PROMs to inform patients about the likely benefit of surgeryNils Gutacker, Andrew StreetO2 Identifying Patient Reported Outcome Measures for an electronic Personal Health RecordDan Robotham, Samantha Waterman, Diana Rose, Safarina Satkunanathan, Til WykesO3 Examining the change process over time qualitatively: transformative learning and response shiftNasrin Nasr, Pamela EnderbyO4 Developing a PROM to evaluate self-management in diabetes (HASMID): giving patients a voiceJill Carlton, Donna Rowen, Jackie Elliott, John Brazier, Katherine Stevens, Hasan Basarir, Alex LabeitO5 Development of the Primary Care Outcomes Questionnaire (PCOQ)Mairead Murphy, Sandra Hollinghurst, Chris SalisburyO6 Developing the PKEX score- a multimodal assessment tool for patients with shoulder problemsDominic Marley, James Wilson, Amy Barrat, Bibhas RoyO7 Applying multiple imputation to multi-item patient reported outcome measures: advantages and disadvantages of imputing at the item, sub-scale or score levelInes Rombach, Órlaith Burke, Crispin Jenkinson, Alastair Gray, Oliver Rivero-AriasO8 Integrating Patient Reported Outcome Measures (PROMs) into routine primary care for patients with multimorbidity: a feasibility studyIan Porter, Jaheeda Gangannagaripalli, Charlotte Bramwell, Jose M. ValderasO9 eRAPID: electronic self-report and management of adverse-events for pelvic radiotherapy (RT) patientsPatricia Holch, Susan Davidson, Jacki Routledge, Ann Henry, Kevin Franks, Alex Gilbert, Kate Absolom & Galina VelikovaO10 Patient reported outcomes (PROMs) based recommendation in clinical guidance for the management of chronic conditions in the United KingdomIan Porter, Jose M.ValderasO11 Cross-sectional and longitudinal parameter shifts in epidemiological data: measurement invariance and response shifts in cohort and survey data describing the UK’s Quality of LifeJan R. BoehnkeO12 Patient-reported outcomes within health technology decision making: current status and implications for future policyAndrew Trigg, Ruth HowellsO13 Can social care needs and well-being be explained by the EQ-5D? Analysis of Health Survey for England datasetJeshika Singh, Subhash Pokhrel, Louise LongworthO14 Where patients and policy meet: exploring individual-level use of the Long-Term Conditions Questionnaire (LTCQ)Caroline Potter, Cheryl Hunter, Laura Kelly, Elizabeth Gibbons, Julian Forder, Angela Coulter, Ray Fitzpatrick, Michele Peters

Highlights

  • Health, health-related and health-care evaluation research can consider technologies that are adaptive in some way: this conference focuses interest on Patient Reported Outcome Measures but arguably its remit could be widened

  • We reviewed the available Patient Reported Outcome Measures (PROMs) for these outcomes, selecting those which were valid, sensitive to change, free of copyright and considered useful to clinicians

  • Missing data are generally unavoidable in clinical trials (RCTs), in patient reported outcome measures (PROMs) and can introduce bias into the study results

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Summary

Introduction

Health-related and health-care evaluation research can consider technologies that are adaptive in some way: this conference focuses interest on Patient Reported Outcome Measures but arguably its remit could be widened. O7 Applying multiple imputation to multi-item patient reported outcome measures: advantages and disadvantages of imputing at the item, sub-scale or score level Ines Rombach, Órlaith Burke, Crispin Jenkinson, Alastair Gray, Oliver Rivero-Arias University of Oxford, Oxford, UK Correspondence: Ines Rombach – University of Oxford, Oxford, UK Health and Quality of Life Outcomes 2016, 14(Suppl 1):O7

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