Journal
SEMINARS IN ONCOLOGY NURSING
Volume 39, Issue 6, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.soncn.2023.151517
Keywords
Clinical decision-making; Lung cancer; Nursing; Patient-reported outcome measures; Qualitative research
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Nurses reported that remote symptom monitoring can support clinical decision-making by assisting in problem identification, monitoring changes over time, and prompting relevant actions. Factors that influence this support include access to supplemental information, trustworthiness of PRO data, nursing competencies and responsibilities, working conditions, and distance care.
Objectives: Patient-reported outcome (PRO) measures are commonly used in clinical practice, and an important aspect is how healthcare professionals use these measures to make clinical decisions. This study aimed 1) to understand how remote electronic symptom monitoring using PRO measures can support oncology nurses' clinical decision-making in patients with metastatic lung cancer and 2) to explore factors that potentially can influence how remote symptom monitoring supports clinical decision-making.Data Sources: A qualitative approach using semistructured interviews was conducted with 18 registered nurses working with remote symptom monitoring at oncology departments at eight Danish hospitals.Conclusion: Nurses reported that remote symptom monitoring supports clinical decision-making because it assisted in identifying relevant problems, monitoring relevant changes over time, and prompting relevant clinical actions. Factors that affected how remote symptom monitoring could support clinical decision-mak-ing were access to supplemental information, the trustworthiness of PRO data, nursing competencies and responsibilities, working conditions, and care at a distance.Implication for Nursing Practice: The use of PRO data in the clinical decision-making process is highly dependent on the nurses' professional competencies, the organizational structure, and the trustworthiness of PRO data. Thus, we recommend considering these factors before implementing PRO data in routine care. For example, train clinical staff in using PRO data in their clinical decision-making, develop guidance for how to use PRO data with other forms of data to make sound clinical actions, and ensure that organizational resour-ces are sufficient.(c) 2023 Elsevier Inc. All rights reserved.
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