Communication, Cognition and Competency Development in Healthcare: A Model for Integrating Cognitive Ethnography and Communication Skills Training in Clinical Interventions
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to conduct and evaluate the Blended Learning communication skills training program. The key objective was to investigate (i) how clinical intervention studies can be designed to include cognitive, organizational, and interactive processes, and (ii) how researchers and practitioners could work with integrated methods to support the desired change. METHODS: The method combined design and implementation of a 12-week Blended Learning communication skills training program based on the Calgary-Cambridge Guide. The training was implemented in a patient clinic at a Danish university hospital and targeted all healthcare professionals at the clinic. Cognitive ethnography was used to document and evaluate healthcare professionals' implementation and individual competency development, and support the design of in-situ simulation training scenarios. RESULTS: Thirteen participants completed the program. The synergy within the teams, as well as the opportunities for participants to coordinate, share, discuss, and reflect on the received knowledge with a colleague or on-site researcher, affected learning positively. The knowledge transfer process was affected by negative feedback loops, such as time shortages, issues with concept development and transfer, disjuncture between the expectations of participants and instructors of the overall course structure, as well as participant insecurity and a gradual loss of motivation and compliance. CONCLUSION: We propose a novel 3-step model for clinical interventions based on our findings and literature review. This model will effectively support the implementation of educational interventions in health care by narrowing the theory-practice gap. It will also stimulate desired change in individual behavior and organizational culture over time. Furthermore, it will work for the benefit of the clinic and may be more suitable for the implementation of communication projects than, for example, randomized setups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".