Collecting Paediatric Health-Related Quality of Life Data: Assessing the Feasibility and Acceptability of the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study

Author:

Jones Renee12ORCID,O’Loughlin Rachel123,Xiong Xiuqin1,Bahrampour Mina4ORCID,McGregor Kristy2,Yip Shilana2,Devlin Nancy1,Hiscock Harriet235,Mulhern Brendan4,Dalziel Kim12ORCID,

Affiliation:

1. Health Economics Unit, Centre for Health Policy, The University of Melbourne, Melbourne, VIC 3010, Australia

2. Health Services and Economics, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia

3. Health Services Research Unit, Royal Children’s Hospital, Melbourne, VIC 3052, Australia

4. Centre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW 2007, Australia

5. Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3010, Australia

Abstract

Background: Collecting data using paediatric health-related quality of life (HRQoL) instruments is complex, and there is a paucity of evidence regarding the comparative performance of paediatric HRQoL instruments. The Australian Paediatric Multi-Instrument Comparison (P-MIC) study was conducted to address this paucity of evidence. This study aims to understand the (1) feasibility of collecting data using paediatric HRQoL instruments in a research setting and (2) acceptability and feasibility for children and their caregivers to complete common paediatric HRQoL instruments using data from the Australian P-MIC study. Methods: Data were from children aged 5–18 years from the Australian P-MIC study. Demographics, cost and time for data collection, dropout rates, and inconsistent responses were used to assess Aim 1. Participant-reported difficulty and completion time were used to assess Aim 2. Subgroup analyses included child age, report type (self/proxy), sample recruitment pathway (hospital/online), and online panel sample type (general population/condition groups). Results: Overall, 5945 P-MIC participants aged 5–18 years completed an initial survey, of these, 2346 also completed the follow-up survey (39.5% response rate). Compared with online panel recruitment, hospital recruitment was more costly and time-consuming and had higher follow-up completion (33.5% versus 80.4%) (Aim 1). Data were of similar good quality (based on inconsistent responses) for both recruitment pathways (Aim 1). Participants completed each instrument in <3 min, on average, and >70% reported each instrument as easy to complete (Aim 2). Conclusions: The Australian P-MIC study was able to collect good-quality data using both online panel and hospital recruitment pathways. All instruments were acceptable and feasible to children and their caregivers.

Funder

Australian Government Medical Research Futures Fund

EuroQol Research Foundation

Research Training Program Scholarship provided by the Australian Commonwealth Government and the University of Melbourne

National Health and Medical Research Council (NHMRC) Practitioner Fellowship

Victorian Government’s Operational Infrastructure Support Program

Publisher

MDPI AG

Subject

Pediatrics, Perinatology and Child Health

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