PURPOSE OF REVIEW: This review addresses a distressing symptom experienced by many palliative care patients, for which available interventions have been only partially effective. A new model of healthcare delivery and research - rapid learning healthcare - provides a potential framework for improving clinical care for and outcomes of dyspnea. This review places dyspnea management in palliative care within the new systems approach offered by rapid learning healthcare. RECENT FINDINGS: Results of important studies in dyspnea are briefly presented, though the focus of this review is on evidence supporting implementation of a rapid learning model for palliative symptom management. Recent findings suggest that a rapid learning system is feasible and acceptable to patients with advanced illness, helps monitor symptoms over time, facilitates study of the impact of novel interventions, and can identify unrecognized needs and concerns. SUMMARY: A rapid learning model could improve comprehensive assessment, timeliness of intervention, accrual of data to support best practice, and tailoring of care to patients' needs as their disease and experiences change over time. Data collected in the process of routine care in a rapid learning model can simultaneously function as clinical information and a resource for research on patient-centered experiences and outcomes.
PURPOSE OF REVIEW: This review addresses a distressing symptom experienced by many palliative care patients, for which available interventions have been only partially effective. A new model of healthcare delivery and research - rapid learning healthcare - provides a potential framework for improving clinical care for and outcomes of dyspnea. This review places dyspnea management in palliative care within the new systems approach offered by rapid learning healthcare. RECENT FINDINGS: Results of important studies in dyspnea are briefly presented, though the focus of this review is on evidence supporting implementation of a rapid learning model for palliative symptom management. Recent findings suggest that a rapid learning system is feasible and acceptable to patients with advanced illness, helps monitor symptoms over time, facilitates study of the impact of novel interventions, and can identify unrecognized needs and concerns. SUMMARY: A rapid learning model could improve comprehensive assessment, timeliness of intervention, accrual of data to support best practice, and tailoring of care to patients' needs as their disease and experiences change over time. Data collected in the process of routine care in a rapid learning model can simultaneously function as clinical information and a resource for research on patient-centered experiences and outcomes.
Authors: Nicholas G Wysham; Benjamin J Miriovsky; David C Currow; James E Herndon; Gregory P Samsa; Andrew Wilcock; Amy P Abernethy Journal: J Pain Symptom Manage Date: 2015-05-22 Impact factor: 3.612
Authors: Arif H Kamal; Janet Bull; Dio Kavalieratos; Jonathan M Nicolla; Laura Roe; Martha Adams; Amy P Abernethy Journal: J Palliat Med Date: 2016-06-27 Impact factor: 2.947
Authors: Arif H Kamal; Ryan D Nipp; Janet H Bull; Charles S Stinson; Ashlei W Lowery; Jonathan M Nicolla; Amy P Abernethy Journal: J Pain Symptom Manage Date: 2014-09-08 Impact factor: 3.612
Authors: Lourdes Vicent; Juan Manuel Nuñez Olarte; Luis Puente-Maestu; Esther Artajona; Francisco Fernández-Avilés; Manuel Martínez-Sellés Journal: J Geriatr Cardiol Date: 2016-07 Impact factor: 3.327