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Renee Jones 1,3, Brendan Mulhern 2, Nancy Devlin 1, Harriet Hiscock 3,4,5, Gang Chen 6, Rachel O’Louglin 1, Xiuqin Xiong 1, Mina Bahrampour 2, Kristy McGregor 3, Shilana Yip 3, and Kim Dalziel 1,3,* on behalf of the Quality Of Life in Kids: Key evidence to strengthen decisions in Australia (QUOKKA) project team. 

1  Health Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, Australia;

2  Centre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, Australia

3  Health Services and Economics, Murdoch Children’s Research Institute, Melbourne, Australia;

4  Health Services Research Unit, Royal Children’s Hospital, Melbourne, Australia 

5  Department of Paediatrics, The University of Melbourne, Melbourne, Australia

6 Centre for Health Economics, Monash University, Melbourne, Australia 

*    Correspondence:;

Note: As recruitment is ongoing, data will be cut at certain time points and a new version of the technical methods paper will be produced for each data cut to transparently summarise the data available in each cut. Please see a summary below of the different data cuts and corresponding versions of the technical methods paper.

Australian Paediatric Multi-Instrument Comparison (P-MIC) Study: Technical Methods Paper Version and Date Summary:

Current Version

Version number: 4

Data cut number: 3

Data cut date: 27/06/2023

Number of participants: 7,226 (final recruitment)

Link to corresponding version

Previous Versions

Version number: 3

Data cut number: 2

Data cut date: 10/08/2022

Number of participants: 6,787

Link to corresponding version

Publication using data cut 2:  Coming soon!

Version number: 1

Data cut number: 1

Data cut date: 06/05/2022

Number of participants: 6,247

Link to corresponding version

Publications using data cut 1:

Jones R, Mulhern B, Devlin N, O’Loughlin R, Xiong X, Bahrampour M, McGregor K, Yip S, Hiscock H, Dalziel K. The Australian paediatric multi-instrument comparison (P-MIC) study: data quality, feasibility, acceptability, and descriptive comparisons of the EQ-5D-Y-3L, EQ-5D-Y-5L, TANDI and PedsQL. Paper presented at the Scientific Plenary Meeting of the EuroQol Group, Chicago, 2022.

Bahrampour M, Jones R, Dalziel K, Devlin N, Mulhern B. What Does the EQ-5D-Y-5L Measure in Comparison to other Generic Pediatric Health Related Quality of Life Instruments? A Dimensionality Assessment Using Factor Analysis. Paper presented at the Scientific Plenary Meeting of the EuroQol Group, Chicago, 2022.

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