Skip to main content
Top
Published in: The Patient - Patient-Centered Outcomes Research 4/2010

01-12-2010 | Short Communication

Patient Preferences and Linear Scoring Rules for Patient-Reported Outcomes

Authors: Ms Ateesha F. Mohamed, A. Brett Hauber, F. Reed Johnson, Cheryl D. Coon

Published in: The Patient - Patient-Centered Outcomes Research | Issue 4/2010

Login to get access

Abstract

Background: Many patient-reported outcomes (PRO) instruments are scored by averaging or summing Likert category values over all items or domains of the elicitation instrument, yielding domain-specific scores or a total score for the entire instrument.
Objective: To evaluate differences between conventional linear and preference-weighted scores for PRO instruments used in asthma, oncology, and obesity.
Methods: We estimated preference-weighted scores for all the items and response categories in the Onset-of-Effect Questionnaire (OEQ), the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30, and the Impact of Weight on Quality of Life Questionnaire-Lite version (IWQOL-Lite) using choice-format conjoint analysis, known also as discrete-choice experiments.
Results: Conventional linear scoring rules can overstate the relative importance to patients of improvements in some domains and understate the relative importance of improvements in other domains.
Conclusions: Patient preference-weighted scores estimated by conjoint-analysis methods allow for non-linearities and account for the relative contribution of individual items and domains to patient well-being. Conventional linear scores and preference-weighted scores can result in different conclusions about the size of patient-reported treatment effects.
Literature
1.
go back to reference Kolotkin RL, Crosby RD, Kosloski KD, et al. Development of a brief measure to assess quality of life in obesity. Obes Res 2001; 9(2): 102–11PubMedCrossRef Kolotkin RL, Crosby RD, Kosloski KD, et al. Development of a brief measure to assess quality of life in obesity. Obes Res 2001; 9(2): 102–11PubMedCrossRef
2.
go back to reference Kolotkin RL, Crosby RD. Psychometric evaluation of the impact of weight on quality of life-lite questionnaire (IWQOL-Lite) in a community sample. Qual Life Res 2002; 11: 157–71PubMedCrossRef Kolotkin RL, Crosby RD. Psychometric evaluation of the impact of weight on quality of life-lite questionnaire (IWQOL-Lite) in a community sample. Qual Life Res 2002; 11: 157–71PubMedCrossRef
3.
go back to reference Bateman I, Carson R, Day B, et al. Economic valuation with stated preference techniques. Cheltenham: Edward Elgar, 2002 Bateman I, Carson R, Day B, et al. Economic valuation with stated preference techniques. Cheltenham: Edward Elgar, 2002
4.
go back to reference Bennett J, Adamowicz V. Some fundamentals of environmental choice modeling. In: Bennett J, Blamey R, editors. The choice modeling approach to environmental valuation. Cheltenham: Edward Elgar, 2001 Bennett J, Adamowicz V. Some fundamentals of environmental choice modeling. In: Bennett J, Blamey R, editors. The choice modeling approach to environmental valuation. Cheltenham: Edward Elgar, 2001
5.
go back to reference Cattin P, Wittink D. Commercial use of conjoint analysis: a survey. J Mark 1982; 46: 44–53CrossRef Cattin P, Wittink D. Commercial use of conjoint analysis: a survey. J Mark 1982; 46: 44–53CrossRef
6.
go back to reference Holmes T, Adamowicz V. Attribute-based methods. In: Champ P, Boyle K, Brown T, editors. A primer on nonmarket valuation. Norwell: Kluwer Academic Publishers, 2003 Holmes T, Adamowicz V. Attribute-based methods. In: Champ P, Boyle K, Brown T, editors. A primer on nonmarket valuation. Norwell: Kluwer Academic Publishers, 2003
7.
go back to reference Louviere J. Conjoint analysis modeling of stated preferences: a review of theory, methods, recent developments and external validity. J Transport Econ Policy 1988; 10: 93–119 Louviere J. Conjoint analysis modeling of stated preferences: a review of theory, methods, recent developments and external validity. J Transport Econ Policy 1988; 10: 93–119
8.
go back to reference Louviere J, Swait J, Hensher D. Stated choice methods: analysis and application. Cambridge: Cambridge University Press, 2000CrossRef Louviere J, Swait J, Hensher D. Stated choice methods: analysis and application. Cambridge: Cambridge University Press, 2000CrossRef
9.
go back to reference Ryan M, Gerard K. Discrete choice experiments. In: Fayers P, Hays R, editors. Assessing quality of life in clinical trials: methods and practice. 2nd ed. Oxford: Oxford University Press, 2005:431–45 Ryan M, Gerard K. Discrete choice experiments. In: Fayers P, Hays R, editors. Assessing quality of life in clinical trials: methods and practice. 2nd ed. Oxford: Oxford University Press, 2005:431–45
10.
go back to reference Johnson FR, Ozdemir S, Mansfield C, et al. Crohn’s disease patients’ risk-benefit preferences: serious adverse event risks versus treatment efficacy. Gastroenterology 2007; 133: 769–79PubMedCrossRef Johnson FR, Ozdemir S, Mansfield C, et al. Crohn’s disease patients’ risk-benefit preferences: serious adverse event risks versus treatment efficacy. Gastroenterology 2007; 133: 769–79PubMedCrossRef
11.
go back to reference Johnson FR, Banzhaf M, Desvousges W. Willingness to pay for improved respiratory and cardiovascular health: a multiple-format stated-preference approach. Health Econ 2000; 9: 295–317PubMedCrossRef Johnson FR, Banzhaf M, Desvousges W. Willingness to pay for improved respiratory and cardiovascular health: a multiple-format stated-preference approach. Health Econ 2000; 9: 295–317PubMedCrossRef
12.
go back to reference Ryan M, McIntosh E, Shackley P. Methodological issues in the application of conjoint analysis in health care. Health Econ 1998; 7: 373–8PubMedCrossRef Ryan M, McIntosh E, Shackley P. Methodological issues in the application of conjoint analysis in health care. Health Econ 1998; 7: 373–8PubMedCrossRef
13.
go back to reference Bryan S, Buxton M, Sheldon R, et al. Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences. Health Econ 1998; 7: 595–603PubMedCrossRef Bryan S, Buxton M, Sheldon R, et al. Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences. Health Econ 1998; 7: 595–603PubMedCrossRef
14.
go back to reference Hauber AB, Mohamed AF, Watson ME, et al. Benefits, risks, and uncertainty: preferences of antiretroviral-na:?ve African Americans for HIV treatments. AIDS Patient Care STDs 2009; 23: 29–34PubMedCrossRef Hauber AB, Mohamed AF, Watson ME, et al. Benefits, risks, and uncertainty: preferences of antiretroviral-na:?ve African Americans for HIV treatments. AIDS Patient Care STDs 2009; 23: 29–34PubMedCrossRef
15.
go back to reference Bridges JFP, Kinter ET, Kidane L, et al. Things are looking up since we started listening to patients: trends in the application of conjoint analysis in health 1982–2007. Patient 2008; 1(4): 273–82PubMedCrossRef Bridges JFP, Kinter ET, Kidane L, et al. Things are looking up since we started listening to patients: trends in the application of conjoint analysis in health 1982–2007. Patient 2008; 1(4): 273–82PubMedCrossRef
16.
go back to reference Hauber AB, Mohamed AF, Johnson FR, et al. Quantifying asthma patient preferences for onset of effect of combination inhaled corticosteroids and long-acting beta2-agonist maintenance medications. Allergy Asthma Proc 2009; 30(2): 139–47PubMedCrossRef Hauber AB, Mohamed AF, Johnson FR, et al. Quantifying asthma patient preferences for onset of effect of combination inhaled corticosteroids and long-acting beta2-agonist maintenance medications. Allergy Asthma Proc 2009; 30(2): 139–47PubMedCrossRef
17.
go back to reference Johnson FR, Hauber AB, Osoba D, et al. Are chemotherapy patients’ HRQoL importance weights consistent with linear scoring rules? A stated-choice approach. Qual Life Res 2006; 15: 285–98PubMedCrossRef Johnson FR, Hauber AB, Osoba D, et al. Are chemotherapy patients’ HRQoL importance weights consistent with linear scoring rules? A stated-choice approach. Qual Life Res 2006; 15: 285–98PubMedCrossRef
18.
go back to reference Osoba D, Hsu A, Copley-Merriman C, et al. Stated preferences of patients with cancer for health-related quality-of-life (HRQOL) domains during treatment. Qual Life Res 2006; 15: 273–83PubMedCrossRef Osoba D, Hsu A, Copley-Merriman C, et al. Stated preferences of patients with cancer for health-related quality-of-life (HRQOL) domains during treatment. Qual Life Res 2006; 15: 273–83PubMedCrossRef
19.
go back to reference Hauber AB, Mohamed AF, Johnson FR, et al. Estimating importance weights for the IWQOL-Lite using conjoint analysis. Qual Life Res 2010; 19: 701–9PubMedCrossRef Hauber AB, Mohamed AF, Johnson FR, et al. Estimating importance weights for the IWQOL-Lite using conjoint analysis. Qual Life Res 2010; 19: 701–9PubMedCrossRef
Metadata
Title
Patient Preferences and Linear Scoring Rules for Patient-Reported Outcomes
Authors
Ms Ateesha F. Mohamed
A. Brett Hauber
F. Reed Johnson
Cheryl D. Coon
Publication date
01-12-2010
Publisher
Springer International Publishing
Published in
The Patient - Patient-Centered Outcomes Research / Issue 4/2010
Print ISSN: 1178-1653
Electronic ISSN: 1178-1661
DOI
https://doi.org/10.2165/11537880-000000000-00000

Other articles of this Issue 4/2010

The Patient - Patient-Centered Outcomes Research 4/2010 Go to the issue

Pioneer Profile

Deborah Marshall, PhD

Original Research Article

Analysis of Patients’ Preferences

Acknowledgments

Acknowledgment

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.