Assessment of Nursing Workload and Complexity Associated with Oncology Clinical Trials: A Scoping Review.
Cancer
Clinical Research Nurse
Clinical trials
Nurse practitioner
Workforce
Workload
Journal
Seminars in oncology nursing
ISSN: 1878-3449
Titre abrégé: Semin Oncol Nurs
Pays: United States
ID NLM: 8504688
Informations de publication
Date de publication:
17 Aug 2024
17 Aug 2024
Historique:
received:
11
04
2024
revised:
10
07
2024
accepted:
18
07
2024
medline:
19
8
2024
pubmed:
19
8
2024
entrez:
18
8
2024
Statut:
aheadofprint
Résumé
Clinical trials (CTs) play a crucial role in advancing medical knowledge and patient care but are increasingly complex and resource-intensive. This scoping review aims to explore the current approaches for evaluating workload (WL) in oncology CTs and identify tools for measuring clinical research nurses' WL. The search was conducted through MEDLINE, Scopus, CINAHL, and COCHRANE databases and carried out through the framework developed by Arksey and O'Malley and revised by the Joanna Briggs Institute. Data extraction and synthesis were performed to analyze instruments used for WL assessment and their dimensions. Of the 1,005 records identified, 12 meet the inclusion criteria. The complexity and WL associated with CTs can be attributed to five main domains: (1) protocol, (2) single case, (3) data management, (4) regulatory, and (5) worker-related. These instruments varied in their approaches, scoring systems, and domains assessed. Notably, the protocol-related domain was prevalent across most instruments, highlighting its importance in WL evaluation. Furthermore, findings revealed a wide range of WL scores across different studies, emphasizing the complexity and variability in WL management within CTs. This scoping review underscores the importance of evaluating WL in CTs and provides insights into existing tools and approaches. Nurses, as integral members of clinical research teams, bear significant responsibilities in trial management, necessitating a balanced approach to WL allocation. Future research should focus on validating and standardizing assessment tools to optimize resource allocation and enhance research efficiency in CT centers. Understanding WL dynamics in CTs is essential for nurses involved in research delivery. By utilizing validated WL assessment tools, nurses can advocate for appropriate staffing levels and promote efficient trial management, ultimately improving patient outcomes and research quality in CT settings.
Identifiants
pubmed: 39155154
pii: S0749-2081(24)00183-9
doi: 10.1016/j.soncn.2024.151711
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
151711Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they do not possess any identifiable conflicting financial interests or personal ties that could have potentially influenced the findings presented in this article.