Literature DB >> 24636385

Should linking replace regression when mapping from profile-based measures to preference-based measures?

Peter M Fayers1, Ron D Hays2.   

Abstract

BACKGROUND: Profile instruments are frequently used to assess health-related quality of life and other patient-reported outcomes. However, preference-based measures are required for health-economic cost-utility evaluations.
RESULTS: Although regression-based approaches are commonly used to map from profile measures to preference measures, we show that this results in biased estimates because of regression to the mean.
CONCLUSIONS: Linking (scale-aligning) is proposed as an alternative.
Copyright © 2014 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  linking values; mapping functions; patient-reported outcomes; preference-based measures; profile instruments; scale-aligning; test equating

Mesh:

Year:  2014        PMID: 24636385      PMCID: PMC4232819          DOI: 10.1016/j.jval.2013.12.002

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  14 in total

Review 1.  Mapping for economic evaluation.

Authors:  Ling-Hsiang Chuang; Sarah J Whitehead
Journal:  Br Med Bull       Date:  2011-12-30       Impact factor: 4.291

2.  Linking scores from multiple health outcome instruments.

Authors:  Neil J Dorans
Journal:  Qual Life Res       Date:  2007-02-08       Impact factor: 4.147

Review 3.  Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights.

Authors:  Duncan Mortimer; Leonie Segal
Journal:  Med Decis Making       Date:  2008 Jan-Feb       Impact factor: 2.583

4.  Rasch analysis in the development of a simplified version of the National Eye Institute Visual-Function Questionnaire-25 for utility estimation.

Authors:  Jonathan W Kowalski; Anne M Rentz; John G Walt; Andrew Lloyd; Jeff Lee; Tracey A Young; Wen-Hung Chen; Neil M Bressler; Paul Lee; John E Brazier; Ron D Hays; Dennis A Revicki
Journal:  Qual Life Res       Date:  2011-08-04       Impact factor: 4.147

Review 5.  A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures.

Authors:  John E Brazier; Yaling Yang; Aki Tsuchiya; Donna Louise Rowen
Journal:  Eur J Health Econ       Date:  2009-07-08

6.  A comparison of the EQ-5D and SF-6D across seven patient groups.

Authors:  John Brazier; Jennifer Roberts; Aki Tsuchiya; Jan Busschbach
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

7.  Psychometric properties of the National Eye Institute-Refractive Error Quality of Life instrument.

Authors:  Ron D Hays; Carol M Mangione; Leon Ellwein; Anne S Lindblad; Karen L Spritzer; Peter J McDonnell
Journal:  Ophthalmology       Date:  2003-12       Impact factor: 12.079

8.  Mapping onto Eq-5 D for patients in poor health.

Authors:  Matthijs M Versteegh; Donna Rowen; John E Brazier; Elly A Stolk
Journal:  Health Qual Life Outcomes       Date:  2010-11-26       Impact factor: 3.186

9.  Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample.

Authors:  Dennis A Revicki; Ariane K Kawata; Neesha Harnam; Wen-Hung Chen; Ron D Hays; David Cella
Journal:  Qual Life Res       Date:  2009-05-27       Impact factor: 4.147

10.  Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?

Authors:  Donna Rowen; John Brazier; Jennifer Roberts
Journal:  Health Qual Life Outcomes       Date:  2009-03-31       Impact factor: 3.186

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  26 in total

1.  Mapping PROMIS Global Health Items to EuroQol (EQ-5D) Utility Scores Using Linear and Equipercentile Equating.

Authors:  Nicolas R Thompson; Brittany R Lapin; Irene L Katzan
Journal:  Pharmacoeconomics       Date:  2017-11       Impact factor: 4.981

2.  Mapping clinical outcomes to generic preference-based outcome measures: development and comparison of methods.

Authors:  Mónica Hernández Alava; Allan Wailoo; Stephen Pudney; Laura Gray; Andrea Manca
Journal:  Health Technol Assess       Date:  2020-06       Impact factor: 4.014

3.  Mapping the Alzheimer's Disease Cooperative Study-Activities of Daily Living Inventory to the Health Utility Index Mark III.

Authors:  Yin Bun Cheung; Hui Xing Tan; Vivian Wei Wang; Nagaendran Kandiah; Nan Luo; Gerald C H Koh; Hwee Lin Wee
Journal:  Qual Life Res       Date:  2018-09-01       Impact factor: 4.147

4.  Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms.

Authors:  Brett Doble; Paula Lorgelly
Journal:  Qual Life Res       Date:  2015-09-21       Impact factor: 4.147

5.  Mapping the Shah-modified Barthel Index to the Health Utility Index Mark III by the Mean Rank Method.

Authors:  Yin Bun Cheung; Hui Xing Tan; Nan Luo; Hwee Lin Wee; Gerald C H Koh
Journal:  Qual Life Res       Date:  2019-07-27       Impact factor: 4.147

6.  Mapping the disease-specific LupusQoL to the SF-6D.

Authors:  Rachel Meacock; Mark Harrison; Kathleen McElhone; Janice Abbott; Sahena Haque; Ian Bruce; Lee-Suan Teh
Journal:  Qual Life Res       Date:  2014-12-16       Impact factor: 4.147

7.  Computing PROPr Utility Scores for PROMIS® Profile Instruments.

Authors:  Barry Dewitt; Hawre Jalal; Janel Hanmer
Journal:  Value Health       Date:  2019-12-30       Impact factor: 5.725

8.  QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.

Authors:  M T King; D S J Costa; N K Aaronson; J E Brazier; D F Cella; P M Fayers; P Grimison; M Janda; G Kemmler; R Norman; A S Pickard; D Rowen; G Velikova; T A Young; R Viney
Journal:  Qual Life Res       Date:  2016-01-20       Impact factor: 4.147

9.  Don't middle your MIDs: regression to the mean shrinks estimates of minimally important differences.

Authors:  Peter M Fayers; Ron D Hays
Journal:  Qual Life Res       Date:  2013-05-31       Impact factor: 4.147

10.  Using Linear Equating to Map PROMIS(®) Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3.

Authors:  Ron D Hays; Dennis A Revicki; David Feeny; Peter Fayers; Karen L Spritzer; David Cella
Journal:  Pharmacoeconomics       Date:  2016-10       Impact factor: 4.981

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