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Development of the descriptive system

Stevens, K J. Working With Children to Develop Dimensions for a Preference-Based, Generic, Pediatric Health-Related Quality-of-Life Measure. Qualitative Health Research. 2010; vol. 20: 340 - 351

Stevens, K J. Developing a descriptive system for a new preference-based measure of health-related quality of life for children. Quality of Life Research. 2009; 18 (8): 1105-1113  

Stevens, K J. 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. Applied Health Economics and Health Policy. 2011; 9(3); 157-169

Stevens, K. The Child Health Utility 9D (CHU9D) – A New Paediatric Preference Based Measure of Health Related Quality of Life. PRO Newsletter #43. May 2010.  

Valuation

Ratcliffe J, Huynh E, Chen G, Stevens K. Swait J, Brazier J, Sawyer M, Roberts R, Flynn T. Valuing the Child Health Utility 9D: Using Profile Case Best Worst Scaling Methods to Develop a New Adolescent Specific Scoring Algorithm. 2016. Social Science and Medicine. 157:48-59.

Ratcliffe J, Huynh E, Stevens K, Brazier J, Sawyer M, Flynn, T. 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. Health Economics, DOI: 10.1002/hec.3165.

Ratcliffe J, Chen G, Stevens K, Bradley S, Couzner L, Brazier J, Sawyer M, Roberts R, Huynh E, Flynn T. Valuing Child Health Utility 9D Health States with Young Adults: Insights from A Time Trade Off Study. Applied Health Economics and Health Policy, Accepted (15 June 2015).

Stevens K. Valuation of the Child Health Utility 9D Index. Pharmacoeconomics 2012; 30:8: 729-747.

Ratcliffe J, Flynn T, Terlich F, Brazier J, Stevens K, Sawyer M. Developing adolescent specific health state values for economic evaluation: an application of profile case best worst scaling to the Child Health Utility-9D. Pharmacoeconomics 2012 ; 30:713-27.

Ratcliffe J, Stevens K, Flynn T, Brazier J, Sawyer M. Whose values in health? An empirical comparison of the application of adolescent and adult scoring algorithms for the CHU9D and AQOL-6D in the Australian adolescent general population. Value in Health 2012; 15(5):730-73.

Ratcliffe J, Couzner L, Flynn T, Sawyer M, Stevens K, Brazier J, Burgess L. Valuing Child Health Utility 9D health states with a young adolescent sample: a feasibility study to compare Best-Worst Discrete Choice Experiment, Standard Gamble and Time Trade Off methods. Applied Health Economics and Health Policy. 2011;9 (1)15-27

Validation

Chen G, Flynn T, Stevens K, Brazier J, Huynh E, Sawyer M, Roberts R, Ratcliffe J. Assessing the Health-Related Quality of Life of Australian Adolescents: An Empirical Comparison of the CHU9D and EQ-5D-Y Instruments. Value in Health, DOI: 10.1016/j.jval.2015.02.014

Ratcliffe J, Stevens K, Brazier J, Flynn T, Sawyer M. An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Quality of Life Research 2012 ; 21 (4):717-25.

Stevens K, Ratcliffe J. Measuring and Valuing Health Benefits for Economic Evaluation in Adolescence: An Assessment of the Practicality and Validity of the Child Health Utility 9D in the Australian Adolescent Population. Value in Health 2012; 15(8), 1092-1099.

Canaway A G, Frew E J. Measuring preference-based quality of life in children aged 6–7 years: a comparison of the performance of the CHU-9D and EQ-5D-Y—the WAVES Pilot Study. Quality of Life Research. 2013; 22(1): 173-183.

Translations

Measuring and Valuing Health-related Quality of Life among Children and Adolescents in Mainland China - A Pilot Study. Fei Xu; Gang Chen, Ph.D., M.Sc., B.M.; Katherine Stevens; HaiRong Zhou; ShengXiang Qi; ZhiYong Wang; Xin Hong; XuPeng Chen; HuaFeng Yang; ChenChen Wang; Julie Ratcliffe. PLOS One Feb 2014; 9(2). E89222. www.plosone.org

Mapping

Furber, G. V., Segal, L., Leach, M. J., & Cocks, J. (2014). Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values. Quality of Life Research.23(2):403-11

Mpundu-Kaambwa C, Chen G, Russo R, Stevens K, Petersen K, Ratcliffe J. Mapping CHU9D utility scores from the PedsQLTM 4.0 SF-15. Pharmacoeconomics.doi:10.1007/s40273-016-0476-y

Chen G, Stevens K, Rowen D, Ratcliffe J. From KIDSCREEN-10 to CHU9D: Creating a Unique Mapping Algorithm for Application in Economic Evaluation. Health and Quality of Life Outcomes, 2014, 12: 134. DOI: 10.1186/s12955-014-0134-z.

Applications

Furber G, Segal L. The validity of the Child Health Utility instrument (CHU9D) as a routine outcome measure for use in child and adolescent mental health services. Health and Quality of Life Outcomes 2015, 13:22

Foster Page L A, Thomson W M, Marshman Z, Stevens K J. The potential of the Child Health Utility 9D Index as an outcome measure for child dental health. BMC Oral Health 2014; 14(1).

AG Canaway, EJ Frew. (2013) Is utility-based quality of life in children aged 6–7 years affected by Body Mass Index (BMI)? International Journal of Obesity,

Chen G, Ratcliffe R, Olds T, Magarey A, Jones M, Leslie E (2014). BMI, Health Behaviors, and Quality of Life in Children and Adolescents: A School-Based Study. Pedaitrics (published online March 3rd 2014)

Presentations about the CHU9D

By Katherine Stevens

Katherine Stevens. Measuring and valuing child and adolescent health: where have we come from, where are we now and where are we going? Part of an organised session on The measurement and valuation of child and adolescent health: What does the future hold? 9th iHEA World Congress on Health Economics. Sydney, 7th-10th July 2013

Katherine Stevens, Simon Palfreyman. The use of qualitative methods in developing the descriptive systems of preference based measures of health related quality of life for use in economic evaluation.UK HESG meeting. Bangor University 29th June-1st July 2011.

Katherine Stevens. Valuation of the Child Health Utility 9D (CHU9D). Part of an organised session on The Measurement and Valuation of Child and Adolescent Health. The 32nd Australian Conference of Health Economists. Sydney. September 2010.

Katherine Stevens. How does health affect children’s quality of life? The views of children. Part of an organised session on Learning and Wellbeing in Childhood and Beyond. 3rd international conference of The Centre for the Study of Childhood and Youth. ºù«Ӱҵ. 6th-8th July 2010

Katherine Stevens. Development of a preference based PROM for use in a paediatric population. Part of a symposium on patient reported outcome measures(PROMS). International Nursing Research Conference. Gateshead 11th May 2010.

Katherine Stevens. Developing a descriptive system for a new preference based measure of health related quality of life for children. UK HESG meeting. The University of Aberdeen 27th-29th August 2008.

Katherine Stevens. Using children to develop the dimensions for a new generic paediatric health related quality of life measure. 14th Annual Conference of the International Society for Quality of Life Research (ISOQOL). Toronto, Canada, October 2007.

For further information or details of any of these presentations, please contact Katherine Stevens

Presentations by others

Petersen K D, Chen G, Mpundu-Kaambwa C, Stevens K, Flynn T, Brazier J, Sawyer M, Huynh E, Roberts R, Ratcliffe J. Measuring health related quality of life in adolescent populations. An empirical comparison of the CHU9D and the PedsQLTM 4.0 SF-15.ISOQOL 23rd Annual Conference. Copenhagen, Denmark, October 2016

Furber G, Cocks J, Leach M, Segal L. From practice to policy in child and adolescent mental health: Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility scores. 9th iHEA World Congress on Health Economics. Sydney, 7th-10th July 2013.

Ratcliffe J, Huynh E, Stevens K, Brazier J, Sawyer M, Flynn T. 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. Part of an organised session on The measurement and valuation of child and adolescent health: What does the future hold? 9th iHEA World Congress on Health Economics. Sydney, 7th-10th July 2013.

Chen G, Stevens K, Rowen D, Ratcliffe J. From KIDSCREEN-10 to CHU9D. Creating a unique mapping algorithm for application in economic evaluation. Part of an organised session on The measurement and valuation of child and adolescent health: What does the future hold? 9th iHEA World Congress on Health Economics. Sydney, 7th-10th July 2013.

Ratcliffe J, Stevens K, Flynn T, Brazier J, Sawyer M (2012) Whose values in health? An empirical comparison of the application of adolescent and adult values for the CHU9D and AQOL-6D in the Australian adolescent general population. Poster presentation to the 15th Annual European Congress of the International Society for Pharmaceutical and Outcomes Research, Berlin, Germany, Nov 2012.

Julie Ratcliffe, Katherine Stevens. Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the Child Health Utility 9D in the Australian adolescent population. 7th Health Services and Policy Research Conference 5-7 December 2011, Adelaide, Australia.

Julie Ratcliffe, Terry Flynn, Frances Terlich, Katherine Stevens and John Brazier. Valuing Health Related Quality of Life in Adolescence: Application of Best Worst Scaling Discrete Choice Experiment Methods to Obtain Adolescent Specific Values for the Child Health Utility 9D. 8th iHEA World Congress on Health Economics. Toronto. July 10-13, 2011.

Julie Ratcliffe, Terry Flynn, Frances Terlich, Katherine Stevens, John Brazier and Michael Sawyer. Nothing about us without us? Relfections on the utilisation of best worst discrete choice experiment methods to obtain adolescent specific values for the Child Health Utility 9D. UK HESG meeting. Bangor University 29th June-1st July 2011.

Ratcliffe J, Stevens K, Brazier J, Flynn T, Sawyer M (2010) The measurement and valuation of health related quality of life in adolescence: An empirical comparison of the CHU9D and HUI2 in an adolescent general population sample. Paper presented to the Australian Health Economics Society Meeting, Universities of New South Wales and Sydney, September 2010.

Ratcliffe J, Couzner L, Flynn T, Sawyer M, Stevens K, Brazier J (2009). Valuing ChildHealth Utility 9D health states with a young adolescent sample: a feasibility study to compare best worst discrete choice, standard gamble and time trade off methods. Paper presented to the Australian Health Economics Society, University of Tasmania, September 2009.

Ratcliffe J, Couzner L, Flynn T, Sawyer M, Stevens K, Brazier J (2009). Nothing about us without us. Valuing Child Health Utility 9D health states in a young adolescent sample. A pilot study to assess the feasibility of applying best worst discrete choice, standard gamble and time trade off methods. Paper presented to the UK Health Economists Study Group, University of ºù«Ӱҵ, July 2009

For further information on these presentations, please contact the lead author.