HEDS is part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We undertake research, teaching, training and consultancy on all aspects of health related decision science, with a particular emphasis on health economics, HTA and evidence synthesis.

Tuesday 18 October 2016

Proceedings of Sheffield PROMs Conference 2016

Abstract from the Conference held on 9th June 2016 are now available in Health and Quality of Life Outcomes via here.  The papers are listed below.
  • Using computerized adaptive testing
  • Well-being: what is it, how does it compare to health and what are the implications of using it to inform health policy?
  • “Am I going to get better?” - Using PROMs to inform patients about the likely benefit of surgery
  • Identifying Patient Reported Outcome Measures for an electronic Personal Health Record
  • Examining the change process over time qualitatively: transformative learning and response shift
  • Developing a PROM to evaluate self-management in diabetes (HASMID): giving patients a voice
  • Development of the Primary Care Outcomes Questionnaire (PCOQ)
  • Developing the PKEX score- a multimodal assessment tool for patients with shoulder problems
  • Applying multiple imputation to multi-item patient reported outcome measures: advantages and disadvantages of imputing at the item, sub-scale or score level
  • Integrating Patient Reported Outcome Measures (PROMs) into routine primary care for patients with multimorbidity: a feasibility study
  • eRAPID: electronic self-report and management of adverse-events for pelvic radiotherapy (RT) patients
  • Patient reported outcomes (PROMs) based recommendation in clinical guidance for the management of chronic conditions in the United Kingdom
  • 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 Life
  • Patient-reported outcomes within health technology decision making: current status and implications for future policy
  • Can social care needs and well-being be explained by the EQ-5D? Analysis of Health Survey for England dataset
  • Where patients and policy meet: exploring individual-level use of the Long-Term Conditions Questionnaire (LTCQ)