Ontology highlight
ABSTRACT: Introduction
Patient-reported outcome-based symptom monitoring and alerting have been attractive for patient care after a tumour-removal surgery. However, the implementation parameters of this patient-centred symptom management system in perioperative patients with lung cancer are still lacking. We aim to develop a perioperative symptom scale (PSS) for monitoring, to determine the optimal time points for symptom assessment and to define the alert thresholds for medical intervention.Methods and analysis
This study will prospectively recruit 300 patients undergoing lung cancer surgery in six hospitals. The MD Anderson Symptom Inventory-Lung Cancer Module (MDASI-LC) is used to collect longitudinal symptom data preoperatively, daily postoperatively during in-hospital stay and w
SUBMITTER: Dai W
PROVIDER: S-EPMC6830688 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature