Developing a Strategy for Studying Critical Thinking in a Nurse Telehealth Setting: A Participatory Approach
Bibliographic record
Abstract
Telehealth nursing is a specialized area of nursing practice that has grown in response to the emergence of new technologies and consumer demand for health care services in the community. HealthLinkBC Nursing Services provides symptom triage and health education to residents of British Columbia and Yukon over the phone. Unlike traditional nursing care, telenurses are limited in terms of information they receive from callers. Therefore, there is a need for critical thinking skills to be developed. The purpose of this paper is to describe a participatory approach towards identifying: (1) the factors that affect telehealth nursing practice including critical thinking, and (2) developing a research strategy aimed at identifying the ways in which critical thinking can be supported in a telehealth nursing environment. A HealthLinkBC working group has begun work in developing a definition of critical thinking specific to nursing, identifying future research opportunities and methodologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.097 | 0.065 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.015 | 0.024 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".