Conscientious objection and nurses: Results of an interpretive phenomenological study
Bibliographic record
Abstract
BACKGROUND: While conscientious objection is a well-known phenomenon in normative and bioethical literature, there is a lack of evidence to support an understanding of what it is like for nurses to make a conscientious objection in clinical practice including the meaning this holds for them and the nursing profession. RESEARCH QUESTION: The question guiding this research was: what is the lived experience of conscientious objection for Registered Nurses in Ontario? RESEARCH DESIGN: Interpretive phenomenological methodology was used to gain an in-depth understanding of what it means to be a nurse making a conscientious objection. Purposive sampling with in-depth interview methods was used to collect and then analyze data through an iterative process. PARTICIPANTS AND RESEARCH CONTEXT: Eight nurse participants were interviewed from across practice settings in Ontario, Canada. Each participant was interviewed twice over 9 months. ETHICAL CONSIDERATIONS: This study was conducted in accordance with Health Science Research Ethics Board approval and all participants gave consent. FINDINGS: Six themes emerged from data analysis: encountering the problem, knowing oneself, taking a stand, alone and uncertain, caring for others, and perceptions of support. DISCUSSION: This study offers an initial understanding of what it is like to be a nurse making a conscientious objection in clinical practice. Implications for nursing practice, education, policy, and further research are discussed. CONCLUSION: Addressing ethical issues in nursing practice is complex. The need for education across nursing, healthcare disciplines and socio-political sectors is essential to respond to nurses' ethical concerns giving rise to objections. Conscience emerged as an informant to nurses' conscientious objections. The need for morally inclusive environments and addressing challenging ethical questions as well as the concept of conscience are relevant to advancing nursing ethics and ethical nursing practice.
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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 | 0.025 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.024 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".