ArticleInternational journal of chronic obstructive pulmonary disease
Validation of ACCESS: an automated tool to support self-management of COPD exacerbations.
Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Differentiating the start of an exacerbation from day-to-day variation in people with COPD: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis.Journal of medical Internet research · 2024Pooled it
- A Smart Mobile Health Tool Versus a Paper Action Plan to Support Self-Management of Chronic Obstructive Pulmonary Disease Exacerbations: Randomized Controlled Trial.JMIR mHealth and uHealth · 2019Trial
- Improved Precision of COPD Exacerbation Detection in Night-Time Cough Monitoring.Journal of personalized medicine · 2025Article
- Which Patients with COPD Would Benefit from Cough Monitoring?Journal of clinical medicine · 2025Article
- The State of the Art of eHealth Self-Management Interventions for People With Chronic Obstructive Pulmonary Disease: Scoping Review.Journal of medical Internet research · 2025Article
- Assessment of Home-based Monitoring in Adults with Chronic Lung Disease: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2025Article
- Effects of Adherence to an mHealth Tool for Self-Management of COPD Exacerbations.International journal of chronic obstructive pulmonary disease · 2023Article
- Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023Review
- Artificial intelligence to differentiate asthma from COPD in medico-administrative databases.BMC pulmonary medicine · 2022Article
- Adherence to an eHealth Self-Management Intervention for Patients with Both COPD and Heart Failure: Results of a Pilot Study.International journal of chronic obstructive pulmonary disease · 2021Article
- Validation of COPDPredict™: Unique Combination of Remote Monitoring and Exacerbation Prediction to Support Preventative Management of COPD Exacerbations.International journal of chronic obstructive pulmonary disease · 2021Observational
- eHealth for people with COPD in the Netherlands: a scoping review.International journal of chronic obstructive pulmonary disease · 2019Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo 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
methodsWe 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
resultsFifty-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.
conclusionIn 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.
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