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Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation
INTRODUCTION: Since COVID-19, medical resources have been tight, making it inconvenient to go offline for the sequelae of diseases such as post-stroke depression (PSD) that require long-term follow-up. As a new digital therapy, VRTL began to gain popularity. METHOD: The research is divided into two...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253173/ https://www.ncbi.nlm.nih.gov/pubmed/37304104 http://dx.doi.org/10.3389/fpubh.2023.1120596 |
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author | Li, Yuxuan Zhang, Qi Fang, Xing |
author_facet | Li, Yuxuan Zhang, Qi Fang, Xing |
author_sort | Li, Yuxuan |
collection | PubMed |
description | INTRODUCTION: Since COVID-19, medical resources have been tight, making it inconvenient to go offline for the sequelae of diseases such as post-stroke depression (PSD) that require long-term follow-up. As a new digital therapy, VRTL began to gain popularity. METHOD: The research is divided into two parts: pre-test and post-test. In the pre-test, an evaluation method integrating reality-based interaction (RBI), structural equation model (SEM), analytic hierarchy process (AHP), and entropy weight method is proposed. In the post-test the patients’ physiological indicators (Diastolic blood pressure, systolic blood pressure and heart rate) are measured to verify the effectiveness of RBI-SEM model using T-test method. RESULTS: In the pre-test, using SEM, it was confirmed that P(i) physical awareness, B(i) body awareness, E(i) environmental awareness, and S(i) social awareness were significantly correlated and positively affected VRTL satisfaction (p >> F 0.217; B >> F 0.130; E >> F 0.243; S >> F 0.122). The comprehensive weight ranking based on RBI-SEM considered light environment (0.665), vegetation diversity (0.667), accessible roaming space (0.550) et al. relatively of importance. And T-tset in the post-test experiment considered that the data of the two measurements before and after the VRTL experience, systolic blood pressure (p < 0.01), diastolic blood pressure (p < 0.01), and blood pressure (p < 0.01) were significantly decreased; one-way ANOVA concluded that there was no significant difference in the changes of blood pressure and heart rate among participants of different ages and genders (p > 0.01). CONCLUSION: This research validated the effectiveness of RBI theory for VRTL design guidelines, established an RBI-SEM based VRTL evaluation model, and the output VRTL for PSD in the older adults was confirmed to have significant therapeutic benefits. This lays the foundation for designers to decompose design tasks and integrate VRTL into traditional clinical treatment systems. CONTRIBUTION FROM THE PUBLIC OR PATIENTS: Four public health department employees helped to improve the research’s content. |
format | Online Article Text |
id | pubmed-10253173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102531732023-06-10 Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation Li, Yuxuan Zhang, Qi Fang, Xing Front Public Health Public Health INTRODUCTION: Since COVID-19, medical resources have been tight, making it inconvenient to go offline for the sequelae of diseases such as post-stroke depression (PSD) that require long-term follow-up. As a new digital therapy, VRTL began to gain popularity. METHOD: The research is divided into two parts: pre-test and post-test. In the pre-test, an evaluation method integrating reality-based interaction (RBI), structural equation model (SEM), analytic hierarchy process (AHP), and entropy weight method is proposed. In the post-test the patients’ physiological indicators (Diastolic blood pressure, systolic blood pressure and heart rate) are measured to verify the effectiveness of RBI-SEM model using T-test method. RESULTS: In the pre-test, using SEM, it was confirmed that P(i) physical awareness, B(i) body awareness, E(i) environmental awareness, and S(i) social awareness were significantly correlated and positively affected VRTL satisfaction (p >> F 0.217; B >> F 0.130; E >> F 0.243; S >> F 0.122). The comprehensive weight ranking based on RBI-SEM considered light environment (0.665), vegetation diversity (0.667), accessible roaming space (0.550) et al. relatively of importance. And T-tset in the post-test experiment considered that the data of the two measurements before and after the VRTL experience, systolic blood pressure (p < 0.01), diastolic blood pressure (p < 0.01), and blood pressure (p < 0.01) were significantly decreased; one-way ANOVA concluded that there was no significant difference in the changes of blood pressure and heart rate among participants of different ages and genders (p > 0.01). CONCLUSION: This research validated the effectiveness of RBI theory for VRTL design guidelines, established an RBI-SEM based VRTL evaluation model, and the output VRTL for PSD in the older adults was confirmed to have significant therapeutic benefits. This lays the foundation for designers to decompose design tasks and integrate VRTL into traditional clinical treatment systems. CONTRIBUTION FROM THE PUBLIC OR PATIENTS: Four public health department employees helped to improve the research’s content. Frontiers Media S.A. 2023-05-26 /pmc/articles/PMC10253173/ /pubmed/37304104 http://dx.doi.org/10.3389/fpubh.2023.1120596 Text en Copyright © 2023 Li, Zhang and Fang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Li, Yuxuan Zhang, Qi Fang, Xing Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title | Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title_full | Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title_fullStr | Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title_full_unstemmed | Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title_short | Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation |
title_sort | research on patient-centered design for post-stroke depression patients based on sem and comprehensive evaluation |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253173/ https://www.ncbi.nlm.nih.gov/pubmed/37304104 http://dx.doi.org/10.3389/fpubh.2023.1120596 |
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