Evidence map›Paper›PMID 37889385›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

"not one size fits all" The challenges of measuring paediatric health-related quality of life and the potential role of digital ecological momentary assessment: a qualitative study.

Holly Fraser, Lauren Thompson, Esther Crawley, Matthew J Ridd, Amberly Brigden

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Holly Fraser *Digital Health, Faculty of Engineering, School of Computer Science, Electrical and Electronic Engineering, University of Bristol, Amberly Brigden, 1 Cathedral Square, Bristol, BS1 5DD, UK.ORCID http://orcid.org/0000-0001-9752-0042
Lauren Thompson *Digital Health, Faculty of Engineering, School of Computer Science, Electrical and Electronic Engineering, University of Bristol, Amberly Brigden, 1 Cathedral Square, Bristol, BS1 5DD, UK.ORCID http://orcid.org/0000-0001-5647-9426
Esther CrawleyFaculty of Health Sciences, Centre for Child and Adolescent Health, University of Bristol, Bristol, BS8 2PS, UK.ORCID http://orcid.org/0000-0002-2521-0747
Matthew J RiddFaculty of Health Sciences, Centre for Academic Primary Care, University of Bristol, Bristol, BS8 2PS, UK.ORCID http://orcid.org/0000-0002-7954-8823
Amberly BrigdenDigital Health, Faculty of Engineering, School of Computer Science, Electrical and Electronic Engineering, University of Bristol, Amberly Brigden, 1 Cathedral Square, Bristol, BS1 5DD, UK. amberly.brigden@bristol.ac.uk.ORCID http://orcid.org/0000-0002-7958-7881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the views of clinicians and researchers about the challenges of measuring health-related quality of life (HRQoL) in children (5-11 years) and to explore whether digital ecological momentary assessment (EMA) could enhance HRQoL measurement.

methodsSemi-structured qualitative interviews with 18 professionals (10 academics/researchers, four clinicians, four with both professional backgrounds) experienced in child HRQoL measurement. We analysed data thematically.

resultsTheme One describes the uncertainty around conceptualising HRQoL for children and which domains to include; the greater immediacy and sensitivity of children's reflections on their HRQoL, leading to high variability of the construct; and the wide individual differences across childhood, incongruent with fixed HRQoL measures. Theme Two describes the challenges of proxy reporting, questioning whether proxies can meaningfully report a child's HRQoL and reflecting on discrepancies between child and proxy reporting. Theme Three covers the challenge of interpreting change in HRQoL over time; does a change in HRQoL reflect a change in health, or does this reflect developmental changes in how children report HRQoL. Theme Four discusses digital EMA for HRQoL data capture. In-the-moment, repeated measurement could provide rich data and address challenges of recall, ecological validity and variability; passive data could provide objective markers to supplement subjective responses; and technology could enable personalisation and child-centred design. However, participants also raised methodological, practical and ethical challenges of digital approaches.

conclusionDigital EMA may address some of the challenges of HRQoL data collection with children. We conclude by discussing potential future research to explore and develop this approach.

Indexed as

Quality of LifeChildHumansQualitative ResearchDigital healthEcological momentary assessmentHealth-related quality of lifeHRQoLPaediatricsQualitative

Identifiers

PMID37889385
PMCPMC10850023

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.