Ontology highlight
ABSTRACT: Objectives
To develop a computer-based decision support tool (DST) for key decision makers to safely explore the impact on chronic obstructive pulmonary disease (COPD) care of service changes driven by restrictions to prevent the spread of COVID-19.Design
The DST is powered by discrete event simulation which captures the entire patient pathway. To estimate the number of COPD admissions under different scenario settings, a regression model was developed and embedded into the tool. The tool can generate a wide range of patient-related and service-related outputs. Thus, the likely impact of possible changes (eg, COVID-19 restrictions and pandemic scenarios) on patients with COPD and care can be estimated.Setting
COPD services (including outpatient and inpatient departm
SUBMITTER: Yakutcan U
PROVIDER: S-EPMC9556746 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature