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T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA
BACKGROUND: Cognitive impairments are a core feature of schizophrenia. Although cognitive impairments have consistently shown to have negative impacts on functional outcomes among individuals with schizophrenia, assessing and treating these symptoms in clinical settings remains a difficult challenge...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234377/ http://dx.doi.org/10.1093/schbul/sbaa029.659 |
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author | Shvetz, Cecelia Gu, Feng Drodge, Jessica Torous, John Guimond, Synthia |
author_facet | Shvetz, Cecelia Gu, Feng Drodge, Jessica Torous, John Guimond, Synthia |
author_sort | Shvetz, Cecelia |
collection | PubMed |
description | BACKGROUND: Cognitive impairments are a core feature of schizophrenia. Although cognitive impairments have consistently shown to have negative impacts on functional outcomes among individuals with schizophrenia, assessing and treating these symptoms in clinical settings remains a difficult challenge. Interestingly, the growing potential of new digital technologies, such as smartphone applications and virtual reality, hold great promise in alleviating these impairments. METHODS: This presentation will introduce results from two recent studies using digital technologies to assess and treat cognitive symptoms in schizophrenia. In the first study, smartphone versions of the pen-and-paper Trail Making Tests A and B were developed. These cognitive tests measure speed of processing and cognitive flexibility. We assessed the validity of the smartphone versions of both Trail Making Tests in measuring these cognitive domains in in 37 healthy controls and 26 individuals with schizophrenia. Following the initial assessment, participants were asked to complete the two smartphone cognitive tests once a week for three months. This served as a measure of cognitive performance over time RESULTS: Results showed that it was feasible to measure cognition using a smartphone application in schizophrenia. Performances on both smartphone cognitive tests were significantly and positively correlated with the pen-and-paper versions (Parts A: r = 0.65, p < .001; Parts B: r= 0.44, p= .01). Additionally, significant differences were observed between controls and individuals with schizophrenia on both smartphone tests (Part A: t = -3.88, p = .004; Part B: t = -3.29, p = .002). Moreover, longitudinal results showed no significant effect of practice over time on the smartphone cognitive tests. DISCUSSION: Digital technologies have the potential to optimize cognitive assessments, monitoring, and care in schizophrenia. Our findings support the feasibility and efficacy of using digital technologies to measure and treat cognitive impairments in schizophrenia. Our research also highlights the importance of including scientists, clinicians, and content experts with schizophrenia in the development of these tools to ensure their validity and facilitate clinical implementation. |
format | Online Article Text |
id | pubmed-7234377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72343772020-05-23 T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA Shvetz, Cecelia Gu, Feng Drodge, Jessica Torous, John Guimond, Synthia Schizophr Bull Poster Session III BACKGROUND: Cognitive impairments are a core feature of schizophrenia. Although cognitive impairments have consistently shown to have negative impacts on functional outcomes among individuals with schizophrenia, assessing and treating these symptoms in clinical settings remains a difficult challenge. Interestingly, the growing potential of new digital technologies, such as smartphone applications and virtual reality, hold great promise in alleviating these impairments. METHODS: This presentation will introduce results from two recent studies using digital technologies to assess and treat cognitive symptoms in schizophrenia. In the first study, smartphone versions of the pen-and-paper Trail Making Tests A and B were developed. These cognitive tests measure speed of processing and cognitive flexibility. We assessed the validity of the smartphone versions of both Trail Making Tests in measuring these cognitive domains in in 37 healthy controls and 26 individuals with schizophrenia. Following the initial assessment, participants were asked to complete the two smartphone cognitive tests once a week for three months. This served as a measure of cognitive performance over time RESULTS: Results showed that it was feasible to measure cognition using a smartphone application in schizophrenia. Performances on both smartphone cognitive tests were significantly and positively correlated with the pen-and-paper versions (Parts A: r = 0.65, p < .001; Parts B: r= 0.44, p= .01). Additionally, significant differences were observed between controls and individuals with schizophrenia on both smartphone tests (Part A: t = -3.88, p = .004; Part B: t = -3.29, p = .002). Moreover, longitudinal results showed no significant effect of practice over time on the smartphone cognitive tests. DISCUSSION: Digital technologies have the potential to optimize cognitive assessments, monitoring, and care in schizophrenia. Our findings support the feasibility and efficacy of using digital technologies to measure and treat cognitive impairments in schizophrenia. Our research also highlights the importance of including scientists, clinicians, and content experts with schizophrenia in the development of these tools to ensure their validity and facilitate clinical implementation. Oxford University Press 2020-05 2020-05-18 /pmc/articles/PMC7234377/ http://dx.doi.org/10.1093/schbul/sbaa029.659 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Session III Shvetz, Cecelia Gu, Feng Drodge, Jessica Torous, John Guimond, Synthia T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title | T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title_full | T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title_fullStr | T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title_full_unstemmed | T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title_short | T99. HARNESSING DIGITAL TECHNOLOGIES TO ASSESS AND TREAT COGNITIVE SYMPTOMS IN SCHIZOPHRENIA |
title_sort | t99. harnessing digital technologies to assess and treat cognitive symptoms in schizophrenia |
topic | Poster Session III |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234377/ http://dx.doi.org/10.1093/schbul/sbaa029.659 |
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