Evaluation of an online communication skills training programme for oncology nurses working with patients from minority backgrounds View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Rajneesh Kaur, Bettina Meiser, Elvira Zilliacus, W. K. Tim Wong, Lisa Woodland, Kaaren Watts, Sarah Tomkins, David Kissane, Afaf Girgis, Phyllis Butow, Sandra Hale, Astrid Perry, Sanchia K. Aranda, Tim Shaw, Helen Tebble, Christie Norris, David Goldstein

ABSTRACT

OBJECTIVE: This study aimed to develop and assess the feasibility of an online communication skills training intervention to increase cultural competence amongst oncology nurses working with individuals from minority backgrounds. METHODS: The intervention provided examples of communication strategies using vignette-based, professionally produced videos, developed through an iterative process with input from a large multidisciplinary team. Fifty-three oncology nurses completed all three questionnaires at baseline, within 2 weeks and then 3 months after accessing the programme. RESULTS: The online intervention was well received by the majority of participants, and was endorsed as clearly presented, informative, relevant and useful by more than 90% of participants. Eighty-seven percent of participants reported increased confidence in communicating with patients via an interpreter, and 93% agreed that skills they gained would be useful in providing better patient care. Participants reported significant improvements in practice while interacting with people with limited English proficiency 2 weeks and 3 months after accessing the website (X2 = 13.66, P < 0.001). CONCLUSION: This online communication training programme can now be tested for its utility in improving patient care for oncology nurses working with patients from minority backgrounds. More... »

PAGES

1-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00520-018-4507-4

DOI

http://dx.doi.org/10.1007/s00520-018-4507-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107668106

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30327877


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00520-018-4507-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00520-018-4507-4'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00520-018-4507-4'


 

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