Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Nurses' Competence and Role in Survival Prediction and Prognostic Communication

National Taiwan University Hospital · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
advanced-canceramppalliative-caresurvival-analysis
\[Background\] Nurses' roles in survival prediction and prognostic communication have historically been limited due to role delineation, lack of formal training, and cultural norms. In Taiwan and other cultural contexts, prognostic discussions have traditionally been the purview of physicians. However, evolving paradigms in health communication, practical realities in nursing practice, and the expanded responsibilities of advanced practice nurses have highlighted the importance of nurses in this domain. Nurses frequently engage in "foreseeing" prognostic indicators through daily patient care, and emerging evidence suggests their prognostic accuracy is often comparable to or exceeds that of physicians. Despite this, the exact scope of nurses' roles in prognostication remains unclear, creating gaps in understanding the contributions, benefits, and associating factors of nurses' involvement of prognostication process. \[Aim\] This mixed-methods study aims to examine hospice nurses' competencies and roles in prognostication, with a focus on their survival prediction accuracy, confidence, influencing factors, and self-perceived responsibilities. \[Method\] This three-year, cross-national study adopts an explanatory sequential mixed-methods design. First, the quantitative phase utilizes a prospective cohort design, recruiting palliative nurses and physicians from ten palliative care sites across three countries. Eligible clinicians include nurses and physicians who provide care for patients with advanced cancer in palliative care settings or oncologic wards. Participating clinicians will provide weekly prognostic predictions for targeted patients and rate their confidence levels. Patients' demographic and disease-related information will also be collected to estimate survival using prediction tools. Data collection will conclude upon the patient's death or discharge. Based on the results of the quantitative phase, a descriptive qualitative study will be conducted to pur
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1186164
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive