Self-perceived attitudes of Italian oncology nurses towards clinical trial involvement: A cohort observational study.

Attitude clinical trial oncology nursing

Journal

Tumori
ISSN: 2038-2529
Titre abrégé: Tumori
Pays: United States
ID NLM: 0111356

Informations de publication

Date de publication:
27 Oct 2024
Historique:
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: aheadofprint

Résumé

Literature is lacking when it comes to oncology nursing attitudes in clinical trial involvement. To assess how Italian oncology nurses perceived their attitudes in clinical trials involvement. An on-line cohort observational study was carried out. Data collected included: sex, years of work experience in oncology field and 10 items assessing participants' self-perceptions of their attitudes in clinical trials. Linear regression was used to assess associations between work experience and self-perceived preparedness. A total of 338 Italian oncology nurses were enrolled. Most nurses declared not receiving any specific training in oncology clinical trials (23.1%). No significant associations were reported between self- perceived attitudes in clinical trial involvement in the oncology setting and both work experience and clinical trial involvement. Cancer centers are improving cancer nursing research in supplying clinical care. But very few centers are involved in training oncology nurses. This gap seems to be very deep in taking into consideration the oncology nursing research in clinical trials, too.

Sections du résumé

BACKGROUND UNASSIGNED
Literature is lacking when it comes to oncology nursing attitudes in clinical trial involvement.
OBJECTIVE UNASSIGNED
To assess how Italian oncology nurses perceived their attitudes in clinical trials involvement.
METHODS UNASSIGNED
An on-line cohort observational study was carried out. Data collected included: sex, years of work experience in oncology field and 10 items assessing participants' self-perceptions of their attitudes in clinical trials. Linear regression was used to assess associations between work experience and self-perceived preparedness.
RESULTS UNASSIGNED
A total of 338 Italian oncology nurses were enrolled. Most nurses declared not receiving any specific training in oncology clinical trials (23.1%). No significant associations were reported between self- perceived attitudes in clinical trial involvement in the oncology setting and both work experience and clinical trial involvement.
CONCLUSIONS UNASSIGNED
Cancer centers are improving cancer nursing research in supplying clinical care. But very few centers are involved in training oncology nurses. This gap seems to be very deep in taking into consideration the oncology nursing research in clinical trials, too.

Identifiants

pubmed: 39462826
doi: 10.1177/03008916241290736
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3008916241290736

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Elsa Vitale (E)

Scientific Directorate, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.

Roberto Lupo (R)

San Giuseppe da Copertino Hospital, Local Health Authority of Lecce, Copertino, Lecce, Italy.

Luana Conte (L)

Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics E. De Giorgi, University of Salento, Lecce, Italy.
Laboratory of Advanced Data Analysis for Medicine (ADAM) at the Laboratory of Interdisciplinary Research Applied to Medicine, University of Salento and Local Health Authority of Lecce, Lecce, Italy.

Rocco Mea (R)

Cardiology Unit, San Carlo Hospital, Potenza, Italy.

Ivan Rubbi (I)

School of Nursing, University of Bologna, Faenza, Italy.

Serena Iacovelli (S)

Scientific Directorate, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.

Giorgio De Nunzio (G)

Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics E. De Giorgi, University of Salento, Lecce, Italy.
Laboratory of Advanced Data Analysis for Medicine (ADAM) at the Laboratory of Interdisciplinary Research Applied to Medicine, University of Salento and Local Health Authority of Lecce, Lecce, Italy.

Raffaella Massafra (R)

Laboratorio di Bioinformatica e Biostatistica, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.

Classifications MeSH