Related Experiment Video
Updated: Feb 12, 2026

14:38
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
12.3K
Conscientious objection and nurses: Results of an interpretive phenomenological study
Christina Lamb1, Yolanda Babenko-Mould1, Marilyn Evans1
1Western University, Canada.
Nursing Ethics
|April 5, 2018
Summary
Nurses’ lived experiences with conscientious objection reveal themes of self-awareness, ethical stands, and support perceptions. Understanding these experiences is crucial for advancing nursing ethics and practice.
Area of Science:
- Nursing Ethics
- Bioethics
- Qualitative Research
Background:
- Conscientious objection is recognized in bioethics, but nurses' clinical experiences remain under-researched.
- A gap exists in understanding the meaning and lived experience of conscientious objection for nurses.
Purpose of the Study:
- To explore the lived experience of conscientious objection among Registered Nurses in Ontario.
- To gain an in-depth understanding of what it means for nurses to make a conscientious objection.
Main Methods:
- Interpretive phenomenological methodology was employed.
- Purposive sampling and in-depth interviews with eight Registered Nurses in Ontario.
- Data collected through two interviews per participant over nine months.
Main Results:
- Six emergent themes: encountering the problem, knowing oneself, taking a stand, feeling alone and uncertain, caring for others, and perceptions of support.
- Conscience was identified as a key informant in nurses' objections.
- The study provides initial insights into the nurse's perspective on conscientious objection.
Conclusions:
- Addressing ethical complexities in nursing requires education across disciplines and sectors.
- Creating morally inclusive environments is essential for supporting nurses' ethical concerns.
- Further research and discussion on conscience are vital for advancing nursing ethics and practice.
Related Concept Videos
Interpreting R Charts
367
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
367
Velocity of an Object
208
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
208
Interpreting Run Charts
4.1K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
4.1K
Mass Spectrum: Interpretation
3.4K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
3.4K
Interpretation of Confidence Intervals
10.1K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.1K
Potential Due to a Polarized Object
805
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
805

