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ABSTRACT: 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 (SpO2), forced expiratory volume in one second (FEV1), 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 pr
SUBMITTER: Boer LM
PROVIDER: S-EPMC6188191 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature