Literature DB >> 21211495

Valuing health across the lifespan: health state preferences for seasonal influenza illnesses in patients of different ages.

Lisa A Prosser1, Katherine Payne, Donna Rusinak, Ping Shi, Timothy Uyeki, Mark Messonnier.   

Abstract

OBJECTIVE: This study sought to measure whether public values for health states vary with the age of the affected individual.
METHODS: Health state preferences were measured via a 15-minute survey administered through the Internet in December 2007 using a probability sample of the adult population of the United States (N = 1012). Respondents were asked to value hypothetical descriptions of seasonal influenza illness (uncomplicated influenza illness, hospitalization) and possible vaccine-related adverse events (anaphylaxis, Guillain-Barré syndrome) using time trade-off or willingness-to-pay questions. Respondents were randomized to four different ages for an affected hypothetical individual: 1-year-old, 8-year-old, 35-year-old, 85-year-old. All other aspects of the health state description were held constant. Summary statistics for each health state and age were calculated. The Kruskal-Wallis test was used to measure differences in responses across ages of affected individuals in the hypothetical scenarios. Regression analyses were used to evaluate the effect of age on time trade-off or willingness-to-pay amounts controlling for respondent characteristics.
RESULTS: Median values for time trade-off and willingness-to-pay were highest for young children. This pattern was generally consistent across responses and type of valuation.
CONCLUSIONS: Approaches that assume health state values do not differ with the age of a patient may bias economic analyses that use these values. If patient age is likely to affect health state valuations, then age should be included as an attribute in the valuation exercise.
Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21211495     DOI: 10.1016/j.jval.2010.10.026

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


  8 in total

1.  Using a discrete choice experiment to elicit time trade-off and willingness-to-pay amounts for influenza health-related quality of life at different ages.

Authors:  Lisa A Prosser; Katherine Payne; Donna Rusinak; Ping Shi; Mark Messonnier
Journal:  Pharmacoeconomics       Date:  2013-04       Impact factor: 4.981

2.  A cost-effectiveness analysis of antenatal influenza vaccination among HIV-infected and HIV-uninfected pregnant women in South Africa.

Authors:  Matthew Biggerstaff; Cheryl Cohen; Carrie Reed; Stefano Tempia; Meredith L McMorrow; Sibongile Walaza; Jocelyn Moyes; Florette K Treurnicht; Adam L Cohen; Paul Hutchinson; Charles Stoecker; Joni Steinberg
Journal:  Vaccine       Date:  2019-09-28       Impact factor: 3.641

3.  A person trade-off study to estimate age-related weights for health gains in economic evaluation.

Authors:  Stavros Petrou; Ngianga-Bakwin Kandala; Angela Robinson; Rachel Baker
Journal:  Pharmacoeconomics       Date:  2013-10       Impact factor: 4.981

4.  Community-based values for 2009 pandemic influenza A H1N1 illnesses and vaccination-related adverse events.

Authors:  Tara A Lavelle; Martin I Meltzer; Achamyeleh Gebremariam; Kara Lamarand; Anthony E Fiore; Lisa A Prosser
Journal:  PLoS One       Date:  2011-12-19       Impact factor: 3.240

5.  Can adult weights be used to value child health states? Testing the influence of perspective in valuing EQ-5D-Y.

Authors:  Paul Kind; Kristina Klose; Narcis Gusi; Pedro R Olivares; Wolfgang Greiner
Journal:  Qual Life Res       Date:  2015-04-19       Impact factor: 4.147

6.  Age dependency of EQ-5D-Youth health states valuations on a visual analogue scale.

Authors:  Jim G A Retra; Brigitte A B Essers; Manuela A Joore; Silvia M A A Evers; Carmen D Dirksen
Journal:  Health Qual Life Outcomes       Date:  2020-12-12       Impact factor: 3.186

7.  Estimation of population-based utility weights for gastric cancer-related health states.

Authors:  Hyeon-Jeong Lee; Minsu Ock; Kyu-Pyo Kim; Min-Woo Jo
Journal:  Patient Prefer Adherence       Date:  2018-05-23       Impact factor: 2.711

8.  A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest.

Authors:  Mark Oremus; Anis Sharafoddini; Gian Paolo Morgano; Xuejing Jin; Feng Xie
Journal:  JMIR Form Res       Date:  2018-01-23
  8 in total

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