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Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study

INTRODUCTION: An increasing number of digital tools, including dedicated diagnostic decision support systems (DDSS) exist to better assess new symptoms and understand when and where to seek medical care. The aim of this study was to evaluate patient's previous online assessment experiences and...

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Autores principales: Knitza, Johannes, Muehlensiepen, Felix, Ignatyev, Yuriy, Fuchs, Franziska, Mohn, Jacob, Simon, David, Kleyer, Arnd, Fagni, Filippo, Boeltz, Sebastian, Morf, Harriet, Bergmann, Christina, Labinsky, Hannah, Vorbrüggen, Wolfgang, Ramming, Andreas, Distler, Jörg H. W., Bartz-Bazzanella, Peter, Vuillerme, Nicolas, Schett, Georg, Welcker, Martin, Hueber, Axel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902046/
https://www.ncbi.nlm.nih.gov/pubmed/35273944
http://dx.doi.org/10.3389/fpubh.2022.844669
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author Knitza, Johannes
Muehlensiepen, Felix
Ignatyev, Yuriy
Fuchs, Franziska
Mohn, Jacob
Simon, David
Kleyer, Arnd
Fagni, Filippo
Boeltz, Sebastian
Morf, Harriet
Bergmann, Christina
Labinsky, Hannah
Vorbrüggen, Wolfgang
Ramming, Andreas
Distler, Jörg H. W.
Bartz-Bazzanella, Peter
Vuillerme, Nicolas
Schett, Georg
Welcker, Martin
Hueber, Axel J.
author_facet Knitza, Johannes
Muehlensiepen, Felix
Ignatyev, Yuriy
Fuchs, Franziska
Mohn, Jacob
Simon, David
Kleyer, Arnd
Fagni, Filippo
Boeltz, Sebastian
Morf, Harriet
Bergmann, Christina
Labinsky, Hannah
Vorbrüggen, Wolfgang
Ramming, Andreas
Distler, Jörg H. W.
Bartz-Bazzanella, Peter
Vuillerme, Nicolas
Schett, Georg
Welcker, Martin
Hueber, Axel J.
author_sort Knitza, Johannes
collection PubMed
description INTRODUCTION: An increasing number of digital tools, including dedicated diagnostic decision support systems (DDSS) exist to better assess new symptoms and understand when and where to seek medical care. The aim of this study was to evaluate patient's previous online assessment experiences and to compare the acceptability, usability, usefulness and potential impact of artificial intelligence (AI)-based symptom checker (Ada) and an online questionnaire-based self-referral tool (Rheport). MATERIALS AND METHODS: Patients newly presenting to three German secondary rheumatology outpatient clinics were randomly assigned in a 1:1 ratio to complete consecutively Ada or Rheport in a prospective non-blinded multicentre controlled crossover randomized trial. DDSS completion time was recorded by local study personnel and perceptions on DDSS and previous online assessment were collected through a self-completed study questionnaire, including usability measured with the validated System Usability Scale (SUS). RESULTS: 600 patients (median age 52 years, 418 women) were included. 277/600 (46.2%) of patients used an online search engine prior to the appointment. The median time patients spent assessing symptoms was 180, 7, and 8 min, respectively using online using search engines, Ada and Rheport. 111/275 (40.4%), 266/600 (44.3%) and 395/600 (65.8%) of patients rated the respective symptom assessment as very helpful or helpful, using online search engines, Ada and Rheport, respectively. Usability of both diagnostic decision support systems (DDSS) was “good” with a significantly higher mean SUS score (SD) of Rheport 77.1/100 (16.0) compared to Ada 74.4/100 (16.8), (p < 0.0001). In male patients, usability of Rheport was rated higher than Ada (p = 0.02) and the usability rating of older (52 years ≥) patients of both DDSS was lower than in younger participants (p = 0.005). Both effects were independent of each other. 440/600 (73.3%) and 475/600 (79.2%) of the patients would recommend Ada and Rheport to friends and other patients, respectively. CONCLUSION: In summary, patients increasingly assess their symptoms independently online, however only a minority used dedicated symptom assessment websites or DDSS. DDSS, such as Ada an Rheport are easy to use, well accepted among patients with musculoskeletal complaints and could replace online search engines for patient symptom assessment, potentially saving time and increasing helpfulness.
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spelling pubmed-89020462022-03-09 Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study Knitza, Johannes Muehlensiepen, Felix Ignatyev, Yuriy Fuchs, Franziska Mohn, Jacob Simon, David Kleyer, Arnd Fagni, Filippo Boeltz, Sebastian Morf, Harriet Bergmann, Christina Labinsky, Hannah Vorbrüggen, Wolfgang Ramming, Andreas Distler, Jörg H. W. Bartz-Bazzanella, Peter Vuillerme, Nicolas Schett, Georg Welcker, Martin Hueber, Axel J. Front Public Health Public Health INTRODUCTION: An increasing number of digital tools, including dedicated diagnostic decision support systems (DDSS) exist to better assess new symptoms and understand when and where to seek medical care. The aim of this study was to evaluate patient's previous online assessment experiences and to compare the acceptability, usability, usefulness and potential impact of artificial intelligence (AI)-based symptom checker (Ada) and an online questionnaire-based self-referral tool (Rheport). MATERIALS AND METHODS: Patients newly presenting to three German secondary rheumatology outpatient clinics were randomly assigned in a 1:1 ratio to complete consecutively Ada or Rheport in a prospective non-blinded multicentre controlled crossover randomized trial. DDSS completion time was recorded by local study personnel and perceptions on DDSS and previous online assessment were collected through a self-completed study questionnaire, including usability measured with the validated System Usability Scale (SUS). RESULTS: 600 patients (median age 52 years, 418 women) were included. 277/600 (46.2%) of patients used an online search engine prior to the appointment. The median time patients spent assessing symptoms was 180, 7, and 8 min, respectively using online using search engines, Ada and Rheport. 111/275 (40.4%), 266/600 (44.3%) and 395/600 (65.8%) of patients rated the respective symptom assessment as very helpful or helpful, using online search engines, Ada and Rheport, respectively. Usability of both diagnostic decision support systems (DDSS) was “good” with a significantly higher mean SUS score (SD) of Rheport 77.1/100 (16.0) compared to Ada 74.4/100 (16.8), (p < 0.0001). In male patients, usability of Rheport was rated higher than Ada (p = 0.02) and the usability rating of older (52 years ≥) patients of both DDSS was lower than in younger participants (p = 0.005). Both effects were independent of each other. 440/600 (73.3%) and 475/600 (79.2%) of the patients would recommend Ada and Rheport to friends and other patients, respectively. CONCLUSION: In summary, patients increasingly assess their symptoms independently online, however only a minority used dedicated symptom assessment websites or DDSS. DDSS, such as Ada an Rheport are easy to use, well accepted among patients with musculoskeletal complaints and could replace online search engines for patient symptom assessment, potentially saving time and increasing helpfulness. Frontiers Media S.A. 2022-02-22 /pmc/articles/PMC8902046/ /pubmed/35273944 http://dx.doi.org/10.3389/fpubh.2022.844669 Text en Copyright © 2022 Knitza, Muehlensiepen, Ignatyev, Fuchs, Mohn, Simon, Kleyer, Fagni, Boeltz, Morf, Bergmann, Labinsky, Vorbrüggen, Ramming, Distler, Bartz-Bazzanella, Vuillerme, Schett, Welcker and Hueber. 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
Knitza, Johannes
Muehlensiepen, Felix
Ignatyev, Yuriy
Fuchs, Franziska
Mohn, Jacob
Simon, David
Kleyer, Arnd
Fagni, Filippo
Boeltz, Sebastian
Morf, Harriet
Bergmann, Christina
Labinsky, Hannah
Vorbrüggen, Wolfgang
Ramming, Andreas
Distler, Jörg H. W.
Bartz-Bazzanella, Peter
Vuillerme, Nicolas
Schett, Georg
Welcker, Martin
Hueber, Axel J.
Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title_full Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title_fullStr Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title_full_unstemmed Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title_short Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study
title_sort patient's perception of digital symptom assessment technologies in rheumatology: results from a multicentre study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902046/
https://www.ncbi.nlm.nih.gov/pubmed/35273944
http://dx.doi.org/10.3389/fpubh.2022.844669
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