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Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items

PURPOSE: Patient-reported outcome measures (PROMs) vary in their psycholinguistic complexity. This study examined whether response time to PROM items is related to psycholinguistic attributes of the item and/or the self-reported cognitive ability of the respondent. METHODS: Baseline data from Wave 2...

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Autores principales: Cohen, Matthew L., Boulton, Aaron J., Lanzi, Alyssa M., Sutherland, Elyse, Hunting Pompon, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178143/
https://www.ncbi.nlm.nih.gov/pubmed/33555446
http://dx.doi.org/10.1007/s11136-021-02778-5
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author Cohen, Matthew L.
Boulton, Aaron J.
Lanzi, Alyssa M.
Sutherland, Elyse
Hunting Pompon, Rebecca
author_facet Cohen, Matthew L.
Boulton, Aaron J.
Lanzi, Alyssa M.
Sutherland, Elyse
Hunting Pompon, Rebecca
author_sort Cohen, Matthew L.
collection PubMed
description PURPOSE: Patient-reported outcome measures (PROMs) vary in their psycholinguistic complexity. This study examined whether response time to PROM items is related to psycholinguistic attributes of the item and/or the self-reported cognitive ability of the respondent. METHODS: Baseline data from Wave 2 of the Quality of Life in Neurological Disorders (Neuro-QoL) development study were reanalyzed. That sample contained 581 adults with neurological disorders and whose self-reported cognitive abilities were quantified by the Neuro-QoL v2.0 Cognitive Function Item Bank. 185 Neuro-QoL items were coded for several psycholinguistic variables and design attributes: number of words and syllables, mean imageability of words, mean word frequency, mean age of word acquisition, and response format (e.g., about symptom frequency or task difficulty). Data were analyzed with linear and generalized linear mixed models. RESULTS: Main effects models revealed that slower response times were associated with respondents with lower self-reported cognitive abilities and with PROM items that contained more syllables, less imageable (e.g., more abstract) words, and that asked about task difficulty rather than symptom frequency. Interaction effects were found between self-reported cognition and those same PROM attributes such that people with worse self-reported cognitive abilities were disproportionately slow when responding to items that were longer (more syllables), contained less imageable words, and asked about task difficulty. CONCLUSION: Completing a PROM requires multiple cognitive skills (e.g., memory, executive functioning) and appraisal processes. Response time is a means of operationalizing the amount or difficulty of cognitive processing, and this report indicates several aspects of PROM design that relate to a measure’s cognitive burden. However, future research with better experimental control is needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02778-5.
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spelling pubmed-81781432021-06-17 Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items Cohen, Matthew L. Boulton, Aaron J. Lanzi, Alyssa M. Sutherland, Elyse Hunting Pompon, Rebecca Qual Life Res Article PURPOSE: Patient-reported outcome measures (PROMs) vary in their psycholinguistic complexity. This study examined whether response time to PROM items is related to psycholinguistic attributes of the item and/or the self-reported cognitive ability of the respondent. METHODS: Baseline data from Wave 2 of the Quality of Life in Neurological Disorders (Neuro-QoL) development study were reanalyzed. That sample contained 581 adults with neurological disorders and whose self-reported cognitive abilities were quantified by the Neuro-QoL v2.0 Cognitive Function Item Bank. 185 Neuro-QoL items were coded for several psycholinguistic variables and design attributes: number of words and syllables, mean imageability of words, mean word frequency, mean age of word acquisition, and response format (e.g., about symptom frequency or task difficulty). Data were analyzed with linear and generalized linear mixed models. RESULTS: Main effects models revealed that slower response times were associated with respondents with lower self-reported cognitive abilities and with PROM items that contained more syllables, less imageable (e.g., more abstract) words, and that asked about task difficulty rather than symptom frequency. Interaction effects were found between self-reported cognition and those same PROM attributes such that people with worse self-reported cognitive abilities were disproportionately slow when responding to items that were longer (more syllables), contained less imageable words, and asked about task difficulty. CONCLUSION: Completing a PROM requires multiple cognitive skills (e.g., memory, executive functioning) and appraisal processes. Response time is a means of operationalizing the amount or difficulty of cognitive processing, and this report indicates several aspects of PROM design that relate to a measure’s cognitive burden. However, future research with better experimental control is needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02778-5. Springer International Publishing 2021-02-08 2021 /pmc/articles/PMC8178143/ /pubmed/33555446 http://dx.doi.org/10.1007/s11136-021-02778-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cohen, Matthew L.
Boulton, Aaron J.
Lanzi, Alyssa M.
Sutherland, Elyse
Hunting Pompon, Rebecca
Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title_full Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title_fullStr Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title_full_unstemmed Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title_short Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
title_sort psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178143/
https://www.ncbi.nlm.nih.gov/pubmed/33555446
http://dx.doi.org/10.1007/s11136-021-02778-5
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