Literature DB >> 31741279

Using Animation to Self-Report Health: A Randomized Experiment with Children.

Carla Guerriero1, Neus Abrines Jaume2, Karla Diaz-Ordaz3, Katherine Loraine Brown2,4, Jo Wray2,4, Joan Ashworth5, Matt Abbiss5, John Cairns3.   

Abstract

BACKGROUND: The Child Health Utility-9D (CHU-9D) is the only generic preference-based measure specifically developed to elicit health-related quality of life directly from children aged 7-11 years. The aim of this study was to investigate whether the use of animation on a touch screen device (tablet) is a better way of collecting health status information from children aged 4-14 years compared to a traditional paper questionnaire. The specific research questions were firstly, do young children (4-7 years) find an animated questionnaire easier to understand; secondly, independent of age, is completion of an animated questionnaire easier for sick children in hospital settings; and thirdly, do children's preferences for the different formats of the questionnaire vary by the age of the child.
METHODS: Using a balanced cross-over trial, we administered different formats of the CHU-9D to 221 healthy children in a school setting and 217 children with health problems in a hospital setting. The study tested five versions of the CHU-9D questionnaire: paper text, tablet text, tablet still image, paper image and tablet animation.
RESULTS: Our results indicated that the majority of the children aged 4-7 years found the CHU-9D questions easy to answer independent of the format of the questionnaire administered. Amongst children aged 7-14 with health problems, the format of questionnaire influenced understanding. Children aged 7-11 years found the tablet image and animation formats easier compared to text questionnaires, while the oldest children in hospital found text-based questionnaires easier compared to image and animation.
CONCLUSION: Children in all three age groups preferred animation on a tablet to other methods of assessment. Our results highlight the potential for using an animated preference-based measure to assess the health of children as young as 4 years.

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Year:  2020        PMID: 31741279     DOI: 10.1007/s40271-019-00392-9

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  17 in total

1.  Methodological issues raised by preference-based approaches to measuring the health status of children.

Authors:  Stavros Petrou
Journal:  Health Econ       Date:  2003-08       Impact factor: 3.046

2.  Graphic medicine: use of comics in medical education and patient care.

Authors:  Michael J Green; Kimberly R Myers
Journal:  BMJ       Date:  2010-03-03

3.  Mapping CHU9D Utility Scores from the PedsQLTM 4.0 SF-15.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Remo Russo; Katherine Stevens; Karin Dam Petersen; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2017-04       Impact factor: 4.981

4.  Nothing About Us Without Us? A Comparison of Adolescent and Adult Health-State Values for the Child Health Utility-9D Using Profile Case Best-Worst Scaling.

Authors:  Julie Ratcliffe; Elisabeth Huynh; Katherine Stevens; John Brazier; Michael Sawyer; Terry Flynn
Journal:  Health Econ       Date:  2015-02-16       Impact factor: 3.046

Review 5.  Quality-of-life measures in chronic diseases of childhood.

Authors:  C Eiser; R Morse
Journal:  Health Technol Assess       Date:  2001       Impact factor: 4.014

6.  Development of the EQ-5D-Y: a child-friendly version of the EQ-5D.

Authors:  Nora Wille; Xavier Badia; Gouke Bonsel; Kristina Burström; Gulia Cavrini; Nancy Devlin; Ann-Charlotte Egmar; Wolfgang Greiner; Narcis Gusi; Michael Herdman; Jennifer Jelsma; Paul Kind; Luciana Scalone; Ulrike Ravens-Sieberer
Journal:  Qual Life Res       Date:  2010-04-20       Impact factor: 4.147

7.  Electronic screen media for persons with autism spectrum disorders: results of a survey.

Authors:  Howard C Shane; Patti Ducoff Albert
Journal:  J Autism Dev Disord       Date:  2008-02-22

8.  Developing a descriptive system for a new preference-based measure of health-related quality of life for children.

Authors:  Katherine Stevens
Journal:  Qual Life Res       Date:  2009-08-20       Impact factor: 4.147

9.  Assessing the performance of a new generic measure of health-related quality of life for children and refining it for use in health state valuation.

Authors:  Katherine Stevens
Journal:  Appl Health Econ Health Policy       Date:  2011-05-01       Impact factor: 2.561

10.  A comparison of HAS & NICE guidelines for the economic evaluation of health technologies in the context of their respective national health care systems and cultural environments.

Authors:  Marc Massetti; Samuel Aballéa; Yann Videau; Cécile Rémuzat; Julie Roïz; Mondher Toumi
Journal:  J Mark Access Health Policy       Date:  2015-03-12
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  2 in total

1.  The role of parental health and distress in assessing children's health status.

Authors:  Sherrie H Kaplan; Marilou Shaughnessy; Michelle A Fortier; Marla Vivero-Montemayor; Sergio Gago Masague; Dylan Hayes; Hal Stern; Maozhu Dai; Lauren Heim; Zeev Kain
Journal:  Qual Life Res       Date:  2022-07-25       Impact factor: 3.440

Review 2.  Methods for Conducting Stated Preference Research with Children and Adolescents in Health: A Scoping Review of the Application of Discrete Choice Experiments.

Authors:  Christine Michaels-Igbokwe; Gillian R Currie; Bryanne L Kennedy; Karen V MacDonald; Deborah A Marshall
Journal:  Patient       Date:  2021-05-19       Impact factor: 3.883

  2 in total

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