Literature DB >> 24629651

Comparison of howRU and EQ-5D measures of health-related quality of life in an outpatient clinic.

Tim Benson1, Henry W W Potts2, Justin M Whatling2, David Patterson3.   

Abstract

This paper reports on a head-to-head study of howRU and EQ-5D on patients with cardiovascular disease. howRU is a short generic measure of health-related quality of life comprising 39 words, designed for routine use, which we compare with EQ-5D (230 words). Patients attending a clinic completed both instruments. Completed data were available for 116 patients, 51% female, mean age 56 and SD 20. howRU is shorter, has better readability statistics, a higher completion rate, a wider range of states used and a smaller ceiling effect than EQ-5D. The correlations of howRU with EQ-5D are similar to those of EQ-5D with other validated instruments.

Entities:  

Mesh：

Year:  2013        PMID： 24629651     DOI： 10.14236/jhi.v21i1.9

Source DB:  PubMed          Journal:  Inform Prim Care        ISSN： 1475-9985


  9 in total

1.  Validation of the howRu and howRwe questionnaires at the individual patient level.

Authors:  Steven H Hendriks; Jojanneke Rutgers; Peter R van Dijk; Klaas H Groenier; Henk J G Bilo; Nanne Kleefstra; Janwillem W H Kocks; Kornelis J J van Hateren; Marco H Blanker
Journal:  BMC Health Serv Res       Date:  2015-10-02       Impact factor: 2.655

2.  A short generic patient experience questionnaire: howRwe development and validation.

Authors:  Tim Benson; Henry W W Potts
Journal:  BMC Health Serv Res       Date:  2014-10-22       Impact factor: 2.655

3.  Health status of care home residents: practicality and construct validity of data collection by staff at scale.

Authors:  Tim Benson; Clive Bowman
Journal:  BMJ Open Qual       Date:  2019-07-26

4.  Measuring health-related quality of life of care home residents, comparison of self-report with staff proxy responses for EQ-5D-5L and HowRu: protocol for assessing proxy reliability in care home outcome testing.

Authors:  Adeela Usman; Sarah Lewis; Kathryn Hinsliff-Smith; Annabelle Long; Gemma Housley; Jake Jordan; Heather Gage; Tom Dening; John R F Gladman; Adam L Gordon
Journal:  BMJ Open       Date:  2018-08-17       Impact factor: 2.692

5.  Measuring health-related quality of life of care home residents: comparison of self-report with staff proxy responses.

Authors:  Adeela Usman; Sarah Lewis; Kathryn Hinsliff-Smith; Annabelle Long; Gemma Housley; Jake Jordan; Heather Gage; Tom Dening; John R F Gladman; Adam L Gordon
Journal:  Age Ageing       Date:  2019-05-01       Impact factor: 10.668

6.  Lessons learned from the development and implementation of a patient-reported outcome and experience measure (POEM) in an Australian glaucoma practice.

Authors:  Alison Fraenkel; Graham A Lee; Stephen J Vincent; Roslyn A Vincent; Rupert R A Bourne; Peter Shah
Journal:  BMC Ophthalmol       Date:  2019-08-22       Impact factor: 2.209

7.  Managing uncertain recovery for patients nearing the end of life in hospital: a mixed-methods feasibility cluster randomised controlled trial of the AMBER care bundle.

Authors:  J Koffman; E Yorganci; D Yi; W Gao; F Murtagh; A Pickles; S Barclay; H Johnson; R Wilson; L Sampson; J Droney; M Farquhar; T Prevost; C J Evans
Journal:  Trials       Date:  2019-08-16       Impact factor: 2.279

8.  Performance of EQ-5D, howRu and Oxford hip & knee scores in assessing the outcome of hip and knee replacements.

Authors:  Tim Benson; Dan H Williams; Henry W W Potts
Journal:  BMC Health Serv Res       Date:  2016-09-22       Impact factor: 2.655

9.  Identification, description and appraisal of generic PROMs for primary care: a systematic review.

Authors:  Mairead Murphy; Sandra Hollinghurst; Chris Salisbury
Journal:  BMC Fam Pract       Date:  2018-03-15       Impact factor: 2.497
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.