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Record W3087790046 · doi:10.1017/s1460396920000813

Understanding team dynamics to promote team building in a radiotherapy department

2020· article· en· W3087790046 on OpenAlexaff
Krista Dawdy, Merrylee McGuffin, Colette Fegan

Bibliographic record

VenueJournal of Radiotherapy in Practice · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsTeamworkCivilityQuality (philosophy)Health careHierarchyTeam effectivenessMedical educationWork (physics)Team compositionPsychologyMedicineNursingKnowledge managementPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract Background: Teamwork is a central framework in healthcare delivery. Team dynamics can impact the team as a whole and has been identified within the literature as a contributory factor to quality and safety, patient satisfaction, staff satisfaction and overall performance. Within radiation therapy (RT), teamwork is essential in the delivery of high-quality care, yet team building and team development is under-reported. Aim: The focus of this research is to form a better understanding of what plays an impact on teams in a large urban RT cancer centre and how to better engage staff to work together, improve team dynamics and promote team building. Materials and Methods: An electronic search of the literature was conducted to better inform debate and aid in the development of team-building sessions in a busy radiotherapy department. Abstracts were screened and relevant articles selected if they met the search criteria that included relevancy related to team building, contributory factors on team dynamics, team-based learning, team performance and implication of civility. Results: A total of 45 articles were included in the final analysis. The majority were from the disciplines of medicine (45%), business (22%) and nursing (18%). Only 3 of the 45 articles (7%) focused on the profession of RT. Most articles discussed more than 1 theme with team dynamics and team building being the most common themes discussed in 16 articles each (36%). Other common themes included teamwork (31%), respect and civility (20%), leadership and hierarchy (11%), medical errors (11%) and team training (11%). Only 3 of the 45 articles (7%) focused on RT. Conclusion: There is a lack of longitudinal evidence to support the impact of team building sessions to improve team dynamics and promote a positive, cohesive team environment. Specifically within RT, the impact team building has on team dynamics has been under investigation. Highlights: High-quality patient care can be linked to team collaboration and cohesiveness. Changing the culture within a team and engaging in civility and respect in everyday practice has the potential to improve team dynamics, patient safety, staff and patient satisfaction.

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.119
GPT teacher head0.441
Teacher spread0.323 · 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
GenreEmpirical

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

Citations2
Published2020
Admission routes1
Has abstractyes

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