Development and Implementation of a Clinician-Facing Prognostic Communication Tool for Patients With COVID-19 and Critical Illness
| Autor: | Lindsay M. Gibbon, Kuang Ning Huang, Shirou Wu, Laura I. Buck, Katherine E. GrayBuck, Neela L. Penumarthy, J. Randall Curtis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Palliative care Critical Care Coronavirus disease 2019 (COVID-19) Critical Illness Health Personnel Point-of-Care Systems Pneumonia Viral Clinical Neurology Disease Article 03 medical and health sciences 0302 clinical medicine Health care Humans Medicine Diagnosis Computer-Assisted 030212 general & internal medicine Intensive care medicine Pandemics Health communication General Nursing Aged Internet business.industry Data Visualization Palliative Care Infographic COVID-19 Middle Aged Prognosis Cognitive bias Anesthesiology and Pain Medicine Health Communication 030220 oncology & carcinogenesis Critical illness Neurology (clinical) Coronavirus Infections business Prejudice |
| Zdroj: | Journal of Pain and Symptom Management |
| ISSN: | 0885-3924 |
| DOI: | 10.1016/j.jpainsymman.2020.05.005 |
| Popis: | Effective prognostication for a novel disease presents significant challenges, especially given the stress induced during a pandemic. We developed a point-of-care tool to summarize outcome data for critically ill patients with COVID-19 and help guide clinicians through a thoughtful prognostication process. Two authors reviewed studies of outcomes of patients with critical illness due to COVID-19 and created a visual infographic tool based on available data. Survival data were supplemented by descriptions of best- and worst-case clinical scenarios. The tool also included prompts for clinician reflection designed to enhance awareness of cognitive biases that may affect prognostic accuracy. This online, open-source COVID-19 Prognostication Tool has been made available to all clinicians at our institution and is updated weekly to reflect evolving data. Our COVID-19 Prognostication Tool may provide a useful approach to promoting consistent and high-quality prognostic communication across a health care system. |
| Databáze: | OpenAIRE |
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