Describing and visualizing the patient and caregiver experience of cancer pain in the home context using ecological momentary assessments.
Virginia T LeBaronNutta HomdeeEmmanuel OgunjirinNyota PatelLeslie BlackhallJohn LachPublished in: Digital health (2023)
Collecting data via EMAs is a viable RHMS strategy to capture longitudinal cancer pain event data from patients and caregivers that can inform personalized pain management and distress-alleviating interventions.
Keyphrases
- pain management
- chronic pain
- papillary thyroid
- end stage renal disease
- electronic health record
- squamous cell
- chronic kidney disease
- ejection fraction
- healthcare
- big data
- prognostic factors
- lymph node metastasis
- climate change
- patient reported outcomes
- cross sectional
- human health
- risk assessment
- deep learning
- spinal cord
- single molecule
- patient reported
- living cells