Cargando…

Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)

BACKGROUND: Over 2 billion people suffer from vision impairment or blindness globally, and access to validated visual measurement tools in imperative in accurately describing and managing the burden of eye disease. The present study applies contemporary psychometric validation techniques to the wide...

Descripción completa

Detalles Bibliográficos
Autores principales: Mitchell, William, Marmamula, Srinivas, Zebardast, Nazlee, Ng, Weiwen, Locascio, Joseph J., Kumbam, Thirupathi, Brahmanandam, Satya, Barrenkala, Navya Rekha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866746/
https://www.ncbi.nlm.nih.gov/pubmed/33546603
http://dx.doi.org/10.1186/s12874-021-01217-w
_version_ 1783648145606967296
author Mitchell, William
Marmamula, Srinivas
Zebardast, Nazlee
Ng, Weiwen
Locascio, Joseph J.
Kumbam, Thirupathi
Brahmanandam, Satya
Barrenkala, Navya Rekha
author_facet Mitchell, William
Marmamula, Srinivas
Zebardast, Nazlee
Ng, Weiwen
Locascio, Joseph J.
Kumbam, Thirupathi
Brahmanandam, Satya
Barrenkala, Navya Rekha
author_sort Mitchell, William
collection PubMed
description BACKGROUND: Over 2 billion people suffer from vision impairment or blindness globally, and access to validated visual measurement tools in imperative in accurately describing and managing the burden of eye disease. The present study applies contemporary psychometric validation techniques to the widely used 33-item Indian Visual Function Questionnaire (IND-VFQ-33). METHODS: We first estimated the polychoric correlation between each pair of items. Next, an unrotated and oblique Promax rotated factor analysis, item response theory (IRT, using a graded response model (GRM)), and differential item functioning (DIF) testing were applied to the IND-VFQ-33. We subsequently propose a validated IND-VFQ-33 questionnaire after psychometric testing, data reduction, and adjustment. RESULTS: Exploratory unrotated factor analysis identified two factors; one with a particularly high eigenvalue (18.1) and a second with a lower eigenvalue still above our threshold (1.1). A subsequent oblique Promax factor rotation was undertaken for a 2-factor solution, revealing two moderately correlated factors (+ 0.68) with clinically discrete item loadings onto either Factor 1 (21 items; collectively labelled “daily activities”) or Factor 2 (5 items; collectively labelled “bright lights”). IRT confirmed high item discrimination for all remaining items with good separation between difficulty thresholds. We found significant DIF on depression for six items in Factor 1 (all uniform DIF, except item 21 (non-uniform DIF) with no substantive difference in beta thresholds for any item and no substantive difference in expected individual or sum score, by depression at baseline. For Factor 2, only one item demonstrated significant uniform DIF on gender, similarly without major differences in beta thresholds or expected total score between gender at baseline. Consequently, no further item recalibration or reduction was undertaken after IRT and DIF analysis. CONCLUSION: Applying IRT and DIF validation techniques to the IND-VFQ-33 identified 2 discrete factors with 26 uniquely-loading items, clinically representative of difficulty performing daily activities and experiencing difficulty due to bright lights/glare respectively. The proposed modified scale may be useful in evaluating symptomatic disease progression or response to treatment in an Indian population.
format Online
Article
Text
id pubmed-7866746
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-78667462021-02-08 Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES) Mitchell, William Marmamula, Srinivas Zebardast, Nazlee Ng, Weiwen Locascio, Joseph J. Kumbam, Thirupathi Brahmanandam, Satya Barrenkala, Navya Rekha BMC Med Res Methodol Research Article BACKGROUND: Over 2 billion people suffer from vision impairment or blindness globally, and access to validated visual measurement tools in imperative in accurately describing and managing the burden of eye disease. The present study applies contemporary psychometric validation techniques to the widely used 33-item Indian Visual Function Questionnaire (IND-VFQ-33). METHODS: We first estimated the polychoric correlation between each pair of items. Next, an unrotated and oblique Promax rotated factor analysis, item response theory (IRT, using a graded response model (GRM)), and differential item functioning (DIF) testing were applied to the IND-VFQ-33. We subsequently propose a validated IND-VFQ-33 questionnaire after psychometric testing, data reduction, and adjustment. RESULTS: Exploratory unrotated factor analysis identified two factors; one with a particularly high eigenvalue (18.1) and a second with a lower eigenvalue still above our threshold (1.1). A subsequent oblique Promax factor rotation was undertaken for a 2-factor solution, revealing two moderately correlated factors (+ 0.68) with clinically discrete item loadings onto either Factor 1 (21 items; collectively labelled “daily activities”) or Factor 2 (5 items; collectively labelled “bright lights”). IRT confirmed high item discrimination for all remaining items with good separation between difficulty thresholds. We found significant DIF on depression for six items in Factor 1 (all uniform DIF, except item 21 (non-uniform DIF) with no substantive difference in beta thresholds for any item and no substantive difference in expected individual or sum score, by depression at baseline. For Factor 2, only one item demonstrated significant uniform DIF on gender, similarly without major differences in beta thresholds or expected total score between gender at baseline. Consequently, no further item recalibration or reduction was undertaken after IRT and DIF analysis. CONCLUSION: Applying IRT and DIF validation techniques to the IND-VFQ-33 identified 2 discrete factors with 26 uniquely-loading items, clinically representative of difficulty performing daily activities and experiencing difficulty due to bright lights/glare respectively. The proposed modified scale may be useful in evaluating symptomatic disease progression or response to treatment in an Indian population. BioMed Central 2021-02-05 /pmc/articles/PMC7866746/ /pubmed/33546603 http://dx.doi.org/10.1186/s12874-021-01217-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mitchell, William
Marmamula, Srinivas
Zebardast, Nazlee
Ng, Weiwen
Locascio, Joseph J.
Kumbam, Thirupathi
Brahmanandam, Satya
Barrenkala, Navya Rekha
Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title_full Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title_fullStr Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title_full_unstemmed Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title_short Psychometric validation techniques applied to the IND-VFQ-33 visual function questionnaire: the Hyderabad ocular morbidity in the elderly study (HOMES)
title_sort psychometric validation techniques applied to the ind-vfq-33 visual function questionnaire: the hyderabad ocular morbidity in the elderly study (homes)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866746/
https://www.ncbi.nlm.nih.gov/pubmed/33546603
http://dx.doi.org/10.1186/s12874-021-01217-w
work_keys_str_mv AT mitchellwilliam psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT marmamulasrinivas psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT zebardastnazlee psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT ngweiwen psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT locasciojosephj psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT kumbamthirupathi psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT brahmanandamsatya psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes
AT barrenkalanavyarekha psychometricvalidationtechniquesappliedtotheindvfq33visualfunctionquestionnairethehyderabadocularmorbidityintheelderlystudyhomes