AUSTRALIAN PAEDIATRIC MULTI-INSTRUMENT COMPARISON (P-MIC) STUDY: TECHNICAL METHODS PAPER

Renee Jones 1,3, Brendan Mulhern 2, Nancy Devlin 1, Harriet Hiscock 3,4,5, Rachel O’Louglin1, Kristy McGregor 3, Shilana Yip3, 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 

*    Correspondence: kim.dalziel@unimelb.edu.au;

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:

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: 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.