The Screening Visual Complaints questionnaire-acquired brain injury: Development and evaluation of psychometric properties in a community sample

DOI

Purpose: Visual complaints are a common consequence of acquired brain injury (ABI). Yet, they may be overlooked in clinical practice. The present study aims to develop a screening instrument for assessing visual complaints in individuals with ABI and evaluate its psychometrics properties in a community sample. Methods: We constructed the Dutch Screening Visual Complaints questionnaire-acquired brain injury (SVCq-abi), a self-report 23-item questionnaire. A Dutch community sample of 1159 participants (Mean [SD] age, 60 [16] years) completed the SVCq-abi and other questionnaires on visual disturbances, executive functioning, mental health, and autistic traits. Confirmatory factor analyses were performed for 5 models (1-factor, 3-factor, 5-factor, second-order, and bifactor) on a random split of half of the sample, and cross-validated on the other half. In addition, we evaluated floor and ceiling effects, scale reliability, test-retest reliability, as well as convergent and divergent validity. Results: A 5-factor structure of the SVCq-abi was adopted which showed an excellent model of fit, with all item loadings exceeding 0.5. The SVCq-abi subscales demonstrated various floor effects, acceptable scale reliability, moderate to good test-retest reliability (ICC = 0.65 to 0.73), along with sufficient convergent (r2 = 9% to 32%) and divergent validity (r2 = 2% to 13%). Conclusions: The SVCq-abi shows fundamental psychometric properties and the factor analysis provides support for a 5-factor structure. Further validation of the SVCq-abi in individuals with ABI is essential.

This dataset includes data from 1021 participants analyzed in the study described in the associated publication. To protect participant privacy, sensitive health-related information, including histories of neurological and ophthalmic conditions, has been excluded. Additionally, all responses to open-ended questionnaire items have been removed.

Identifier
DOI https://doi.org/10.34894/58VDK7
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/58VDK7
Provenance
Creator Dol, Vera Linde ORCID logo; Fuermaier, Anselm B.M. ORCID logo; Will, Eline M.E.; Van Sorge, Arlette J.; Heutink, Joost (ORCID: 0000-0002-4811-968X)
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; Vera Linde Dol; DataverseNL Network
Publication Year 2024
Funding Reference Visio Foundation https://visiofoundation.org/
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Groningen Digital Competence Centre (University of Groningen)
Representation
Resource Type Questionnaire data; Dataset
Format text/csv; text/plain
Size 361569; 1476
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Medicine; Social Sciences; Social and Behavioural Sciences; Soil Sciences