Correct Answer: B

Rationale: The correct answer is B: compassion fatigue. Compassion fatigue refers to the emotional and physical exhaustion that healthcare providers may experience from caring for patients in distressing situations over a prolonged period. In this scenario, the nurse's lack of empathy despite the patient's heart-wrenching story indicates emotional exhaustion and desensitization, which are common symptoms of compassion fatigue. This nurse has likely become overwhelmed by the emotional toll of consistently supporting patients facing difficult circumstances, leading to a diminished capacity for empathy. Incorrect choices: A: Burnout is a state of emotional, physical, and mental exhaustion caused by excessive and prolonged stress. While the nurse may be experiencing emotional exhaustion, the specific lack of empathy in response to the patient's situation aligns more closely with compassion fatigue. C: Reality shock typically refers to the discrepancy between the expectations of a new role and the actual experiences encountered. This term does not accurately describe the nurse's emotional response to the patient's situation. D: Horizontal hostility refers to negative

Correct Answer: D

Rationale: The correct answer is D because shared governance involves empowering nurses to participate in decision-making related to patient care. This element is fundamental as it promotes autonomy, collaboration, and professional growth among nurses. Option A is incorrect as an open-door policy does not necessarily imply shared governance. Option B, dispute resolution, is important but not a fundamental characteristic of shared governance. Option C, mandatory reporting, does not align with the collaborative nature of shared governance. In summary, nurses having an active role in patient care decision making is crucial for the successful implementation of a shared governance model.

Correct Answer: D

Rationale: The correct answer is D: Evaluation. In this scenario, the nurse researcher is determining the significance of findings, which falls under the evaluation phase of scientific inquiry. Evaluation involves assessing the results and determining their importance and relevance. It is crucial in determining the validity and impact of the research findings. A: Hypothesis - While formulating a hypothesis is an important step in the scientific method, it is not directly related to determining the significance of findings. B: Method - Refers to the procedures used to conduct the research study, not specifically related to evaluating the significance of findings. C: Data collection - Involves the process of gathering data, not directly related to determining the level of significance of findings.

Correct Answer: A

Rationale: The correct answer is A: uterine contractions resulting in possible miscarriage. Feverfew is known to stimulate uterine contractions, which can potentially lead to miscarriage in pregnant women. This risk is especially concerning during the first trimester when the uterus is more sensitive to such stimulants. Uterine contractions can increase the risk of premature labor and miscarriage. Reduced fetal growth (choice B), insomnia (choice C), and tiredness the following day (choice D) are not directly associated with feverfew use during pregnancy. It is crucial for the nurse to educate the patient about the potential risk of uterine contractions and advise against the use of feverfew during pregnancy to ensure the safety of both the mother and the fetus.

Correct Answer: C

Rationale: The correct answer is C: Meta-analysis. In a meta-analysis, a researcher combines data from multiple studies to provide a quantitative summary of the findings. This approach allows for a more comprehensive and statistically powerful analysis of the research evidence on a particular topic. Survey (A) involves collecting data directly from individuals, which is not the same as integrating data from existing studies. Triangulation (B) refers to using multiple methods or data sources to validate findings, not necessarily integrating data from different studies. State of the science summary (D) typically involves summarizing the current state of knowledge on a topic but does not involve quantitative integration of data like in a meta-analysis.