Conscience, conscientious objection, and nursing: A concept analysis
Bibliographic record
Abstract
BACKGROUND:: Ethical nursing practice is increasingly challenging, and strategies for addressing ethical dilemmas are needed to support nurses' ethical care provision. Conscientious objection is one such strategy for addressing nurses' personal, ethical conflicts, at times associated with conscience. Exploring both conscience and conscientious objection provides understanding regarding their implications for ethical nursing practice, research, and education. RESEARCH AIM:: To analyze the concepts of conscience and conscientious objection in the context of nurses. DESIGN:: Concept analysis using the method by Walker and Avant. RESEARCH CONTEXT:: Data were retrieved from Philosopher's Index, PubMed, and CINAHL with no date restrictions. ETHICAL CONSIDERATION:: This analysis was carried out per established, scientific guidelines. FINDINGS:: Ethical concepts are integral to nursing ethics, yet little is known about conscientious objection in relation to conscience for nurses. Of note, both concepts are well established in ethics literature, addressed in various nursing codes of ethics and regulatory bodies, but the meaning they hold for nurses and the impact they have on nursing education and practice remain unclear. DISCUSSION AND CONCLUSION:: This article discusses the relevance of conscience and conscientious objection to ethical nursing practice and proposes a model case to show how they can be appreciated in the context of nurses. Conscientious objection is an option for ethical transparency for nurses but is situated in contentious discussions over its use and has yet to be fully understood for nursing practice. Conscience is an element in need of more exploration in the context of conscientious objection. Further research is warranted to understand how nurses respond to conscience concerns in morally, pluralistic nursing contexts.
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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 | 0.015 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".