ATI RN
ATI RN Leadership 2019 Questions
Extract:
Client with full-thickness burns on 72% of body
Question 1 of 5
A nurse is conducting a disaster preparedness drill with a group of nurses who are orienting to the facility. Which of the following triage tag colors should the nurse instruct the group to apply to a client who has full-thickness burns on 72% of his body?
Correct Answer: A
Rationale: Severe burns covering 72% are likely unsurvivable, warranting a black tag to prioritize resources in a disaster scenario.
Extract:
Question 2 of 5
A nurse is working on a quality improvement team that is assessing an increase in client falls at the facility. After problem identification, which of the following actions should the nurse plan to take first as part of the quality improvement process?
Correct Answer: D
Rationale: Identifying at-risk clients allows targeted interventions, forming the basis for effective fall prevention.
Extract:
Client with Type 1 diabetes; client at risk for pressure ulcers; client receiving heparin; client with orthostatic hypotension
Question 3 of 5
A nurse working on a medical-surgical unit is managing the care of four clients. The nurse should schedule an interdisciplinary conference for which of the following clients?
Correct Answer: B
Rationale: Pressure ulcer risk requires interdisciplinary intervention to prevent complications, given the client's condition.
Extract:
Question 4 of 5
A nurse manager is reviewing isolation guidelines with a newly licensed nurse. Which of the following statements by the newly licensed nurse indicates understanding of isolation guidelines?
Correct Answer: C
Rationale: Clients on airborne precautions wear masks outside their room to prevent pathogen spread.
Extract:
Client requests information about Tay-Sachs disease
Question 5 of 5
A nurse is caring for a client who requests information about the prevalence of Tay-Sachs disease. Which of the following resources should the nurse use to obtain this information?
Correct Answer: B
Rationale: Evidence-based journals provide reliable, peer-reviewed data on disease prevalence, ideal for accurate information.