Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 42365553

Content validity, face validity and comprehensiveness of generic quality-of-life measures in adults and children with rare genetic conditions and their carers: a think aloud qualitative study.

Mackenzie Bourke·Xuemin Zhu·Tiffany Boughtwood·Clara Gaff·Amy Hunter·Brendan Mulhern·Tessa Peasgood·Clare Stuart·James Buchanan·Ilias Goranitis
View original source ↗Export metadata ↓

Abstract

PURPOSE: This study aims to assess the content validity, face validity and comprehensiveness of the: (a) EQ-5D-5L, EQ-HWB, and ASCOT SCT4, for adults with rare genetic conditions; (b) the EQ-5D-5L, EQ-HWB, and ASCOT-carer for carers of adults or children with rare genetic conditions; and (c) the EQ-5D-Y-5L carer proxy-complete for children with rare genetic conditions. METHODS: In total, 60 qualitative think-aloud interviews were conducted in Australia and England to understand individuals' thought process during the completion of the QoL measures. Participants were subsequently led through a semi-structured discussion. Transcripts were analysed for whether participants demonstrated understanding of the measures and thematic analysis was conducted on responses to the semi-structured discussion. RESULTS: The majority of participants showed good understanding and supported the validity of the measures for people experiencing rare conditions. For carers, however, a broader evaluative space than health-related QoL was preferred. Several non-health domains were identified as important to both patients and carers, including treatment availability, impact on employment and finance, information and uncertainty, medication and carer burden, impact of passing on a condition, relationships and social connection, and experience with the healthcare system. CONCLUSION: This study provides some support for the face validity and comprehensiveness of the measures for people experiencing rare conditions. However, several participants felt that the narrow health domains were inadequate to capture the breadth of their lived experience. Future research should explore the extent to which the measures capture differences and changes in the QoL domains identified as important to patients and carers.

Explore related subjects

HumansQuality of LifeCaregiversFemaleQualitative ResearchChildAdultMaleAustraliaMiddle AgedRare DiseasesReproducibility of ResultsSurveys and QuestionnairesEnglandPsychometricsAgedInterviews as TopicCognitive interviewQuality-of-lifeRare diseaseValidityJournal ArticleValidation Study

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Mackenzie Bourke, Xuemin Zhu, Tiffany Boughtwood, Clara Gaff, Amy Hunter, Brendan Mulhern, Tessa Peasgood, Clare Stuart, James Buchanan, Ilias Goranitis. 2026-06-28. Content validity, face validity and comprehensiveness of generic quality-of-life measures in adults and children with rare genetic conditions and their carers: a think aloud qualitative study.. https://doi.org/10.1007/s11136-026-04324-7

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗