Author Question: Which statement by a nurse indicates a good understanding about the differences between data ... (Read 47 times)

Redwolflake15 · **on:** Jul 22, 2018

Which statement by a nurse indicates a good understanding about the differences between data validation and data interpretation?

a. Data interpretation occurs before data validation.
b. Validation involves looking for patterns in professional standards.
c. Validation involves comparing data with other sources for accuracy.
d. Data interpretation involves discovering patterns in professional standards.

Question 2

Which scenario best illustrates the nurse using data validation when making a nursing clinical decision for a patient?

a. The nurse determines to remove a wound dressing when the patient reveals the time of the last dressing change and notices old and new drainage.
b. The nurse administers pain medicine due at 1700 at 1600 because the patient reports increased pain and the family wants something done.
c. The nurse immediately asks the health care provider for an order of potassium when a patient reports leg cramps.
d. The nurse elevates a leg cast when the patient reports decreased mobility.

thall411 · **Reply #1 on:** Jul 22, 2018

Answer to Question 1

ANS: C
Validation, by definition, involves comparing data with other sources for accuracy. Data interpretation involves identifying abnormal findings, clarifying information, and identifying patient problems. The nurse should validate data before interpreting the data and making inferences. The nurse is interpreting and validating patient data, not professional standards.

Answer to Question 2

ANS: A
The only scenario that validates a patient's report with a nurse's observation is changing the wound dressing. The nurse validates what the patient says by observing the dressing. The rest of the examples have the nurse acting only from a patient and/or family reports, not the nurse's assessment.