Cargando…

Validation of ACCESS: an automated tool to support self-management of COPD exacerbations

BACKGROUND: To support patients with COPD in their self-management of symptom worsening, we developed Adaptive Computerized COPD Exacerbation Self-management Support (ACCESS), an innovative software application that provides automated treatment advice without the interference of a health care profes...

Descripción completa

Detalles Bibliográficos
Autores principales: Boer, Lonneke M, van der Heijden, Maarten, van Kuijk, Nathalie ME, Lucas, Peter JF, Vercoulen, Jan H, Assendelft, Willem JJ, Bischoff, Erik W, Schermer, Tjard R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188191/
https://www.ncbi.nlm.nih.gov/pubmed/30349231
http://dx.doi.org/10.2147/COPD.S167272
_version_ 1783363178287071232
author Boer, Lonneke M
van der Heijden, Maarten
van Kuijk, Nathalie ME
Lucas, Peter JF
Vercoulen, Jan H
Assendelft, Willem JJ
Bischoff, Erik W
Schermer, Tjard R
author_facet Boer, Lonneke M
van der Heijden, Maarten
van Kuijk, Nathalie ME
Lucas, Peter JF
Vercoulen, Jan H
Assendelft, Willem JJ
Bischoff, Erik W
Schermer, Tjard R
author_sort Boer, Lonneke M
collection PubMed
description BACKGROUND: To support patients with COPD in their self-management of symptom worsening, we developed Adaptive Computerized COPD Exacerbation Self-management Support (ACCESS), an innovative software application that provides automated treatment advice without the interference of a health care professional. Exacerbation detection is based on 12 symptom-related yes-or-no questions and the measurement of peripheral capillary oxygen saturation (SpO(2)), forced expiratory volume in one second (FEV(1)), and body temperature. Automated treatment advice is based on a decision model built by clinical expert panel opinion and Bayesian network modeling. The current paper describes the validity of ACCESS. METHODS: We performed secondary analyses on data from a 3-month prospective observational study in which patients with COPD registered respiratory symptoms daily on diary cards and measured SpO(2), FEV(1), and body temperature. We examined the validity of the most important treatment advice of ACCESS, ie, to contact the health care professional, against symptom- and event-based exacerbations. RESULTS: Fifty-four patients completed 2,928 diary cards. One or more of the different pieces of ACCESS advice were provided in 71.7% of all cases. We identified 115 symptom-based exacerbations. Cross-tabulation showed a sensitivity of 97.4% (95% CI 92.0–99.3), specificity of 65.6% (95% CI 63.5–67.6), and positive and negative predictive value of 13.4% (95% CI 11.2–15.9) and 99.8% (95% CI 99.3–99.9), respectively, for ACCESS’ advice to contact a health care professional in case of an exacerbation. CONCLUSION: In many cases (71.7%), ACCESS gave at least one self-management advice to lower symptom burden, showing that ACCES provides self-management support for both day-to-day symptom variations and exacerbations. High sensitivity shows that if there is an exacerbation, ACCESS will advise patients to contact a health care professional. The high negative predictive value leads us to conclude that when ACCES does not provide the advice to contact a health care professional, the risk of an exacerbation is very low. Thus, ACCESS can safely be used in patients with COPD to support self-management in case of an exacerbation.
format Online
Article
Text
id pubmed-6188191
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-61881912018-10-22 Validation of ACCESS: an automated tool to support self-management of COPD exacerbations Boer, Lonneke M van der Heijden, Maarten van Kuijk, Nathalie ME Lucas, Peter JF Vercoulen, Jan H Assendelft, Willem JJ Bischoff, Erik W Schermer, Tjard R Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: To support patients with COPD in their self-management of symptom worsening, we developed Adaptive Computerized COPD Exacerbation Self-management Support (ACCESS), an innovative software application that provides automated treatment advice without the interference of a health care professional. Exacerbation detection is based on 12 symptom-related yes-or-no questions and the measurement of peripheral capillary oxygen saturation (SpO(2)), forced expiratory volume in one second (FEV(1)), and body temperature. Automated treatment advice is based on a decision model built by clinical expert panel opinion and Bayesian network modeling. The current paper describes the validity of ACCESS. METHODS: We performed secondary analyses on data from a 3-month prospective observational study in which patients with COPD registered respiratory symptoms daily on diary cards and measured SpO(2), FEV(1), and body temperature. We examined the validity of the most important treatment advice of ACCESS, ie, to contact the health care professional, against symptom- and event-based exacerbations. RESULTS: Fifty-four patients completed 2,928 diary cards. One or more of the different pieces of ACCESS advice were provided in 71.7% of all cases. We identified 115 symptom-based exacerbations. Cross-tabulation showed a sensitivity of 97.4% (95% CI 92.0–99.3), specificity of 65.6% (95% CI 63.5–67.6), and positive and negative predictive value of 13.4% (95% CI 11.2–15.9) and 99.8% (95% CI 99.3–99.9), respectively, for ACCESS’ advice to contact a health care professional in case of an exacerbation. CONCLUSION: In many cases (71.7%), ACCESS gave at least one self-management advice to lower symptom burden, showing that ACCES provides self-management support for both day-to-day symptom variations and exacerbations. High sensitivity shows that if there is an exacerbation, ACCESS will advise patients to contact a health care professional. The high negative predictive value leads us to conclude that when ACCES does not provide the advice to contact a health care professional, the risk of an exacerbation is very low. Thus, ACCESS can safely be used in patients with COPD to support self-management in case of an exacerbation. Dove Medical Press 2018-10-10 /pmc/articles/PMC6188191/ /pubmed/30349231 http://dx.doi.org/10.2147/COPD.S167272 Text en © 2018 Boer et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Boer, Lonneke M
van der Heijden, Maarten
van Kuijk, Nathalie ME
Lucas, Peter JF
Vercoulen, Jan H
Assendelft, Willem JJ
Bischoff, Erik W
Schermer, Tjard R
Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title_full Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title_fullStr Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title_full_unstemmed Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title_short Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
title_sort validation of access: an automated tool to support self-management of copd exacerbations
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188191/
https://www.ncbi.nlm.nih.gov/pubmed/30349231
http://dx.doi.org/10.2147/COPD.S167272
work_keys_str_mv AT boerlonnekem validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT vanderheijdenmaarten validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT vankuijknathalieme validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT lucaspeterjf validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT vercoulenjanh validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT assendelftwillemjj validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT bischofferikw validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations
AT schermertjardr validationofaccessanautomatedtooltosupportselfmanagementofcopdexacerbations