MétaCan
Menu
Back to cohort
Record W2891778933 · doi:10.1016/j.ijnss.2018.08.006

Letter to the Editor: Critical need for effective communication skills education in nursing

2018· letter· en· W2891778933 on OpenAlexaboutno aff
Karen Graham

Bibliographic record

VenueInternational Journal of Nursing Sciences · 2018
Typeletter
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsNursingPsychologyMedical educationMedicine

Abstract

fetched live from OpenAlex

Wei (2018) [1], state that specific communication problems were linked to 17.5% of all complaints, but in reality other categories, totalling 83.7% of all complaints, have a clear (verbal and non-verbal) communication component; uncaring attitudes (26.7%), unsatisfactory quality of treatment and competence (26.5%) and processes of care (13.0%).Highlighting this point are the examples given by patients in relation to complaints categorised as uncaring attitudes, included "displayed indifferent expressions, used unfriendly language tones, were impatient with patients' questions, or did not give thorough explanations when answering questions".The authors suggest theory-guided strategies to assist with nursing care.We advocate the need for this to be instilled in nursing education.Education providers for health professionals aim to improve communication skills through formal education [2e4].Wei et al. (2018) [1] state the Chinese curriculum for medicine focuses on science more than humane or caring qualities.Few education providers are able to effectively educate health professionals of the critical nature of communication for their future practice and work place requirements [5].In the United States, poor communication contributed to 1744 deaths over a five-year period [6].The United Kingdom Nation Health Service (NHS) are acutely aware of the issues with poor communication, commissioning a document, Improving Communication with Patients in the NHS.The document states that good communication, not only improves health outcomes, but could save the UK one billion pounds annually, challenging the position that communication is a "soft skill" [7].Good clear communication in nursing, specifically demonstrated as the successful ability to "receive, decode information effectivity, exhibiting different types of communication in different nursing contexts through visual, auditory and kinaesthetic modes" [[8], p. 51 2014], is the foundation of a vibrant, safe and effective healthcare system.Thus, student nurses require an evidence based, consistent communication educational approach.How communication is taught affects health professional's work place, patient lives and has financial implications [2,9,10].Previous studies have demonstrated the inconsistency in communication education [11e13].Common educational methods currently used, include simulation, role-play, videos, debriefing and reflection [4,10e12,14,15].One method that has proven to be effective is simulation, as this enhances performance in clinical practice [5].As well, there are a variety of validated communication assessment tools for health care.One example is The Calgary Cambridge Guide used by Ammentorp (2014) [16] for a programme to educate health employees, who had contact with patients.The tool measured communication ability, style and comprehension and could be applied to undergraduate nursing communication.Communication education is too important not to develop a consistent, evidenced based curriculum, employing rigorous assessments tools to ensure our future nursing practitioners are fully equipped with the communication skills required to support patients, families, and communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.104
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.532
Teacher spread0.502 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Nursing SciencesSame topicInterprofessional Education and CollaborationFrench-language works237,207