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Author Question: The nurse is evaluating outcomes from evidence-based interventions provided to a patient with ... (Read 84 times)

Yolanda

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on: Jun 25, 2018
The nurse is evaluating outcomes from evidence-based interventions provided to a patient with chronic obstructive lung disease. Which outcome indicates that a positive change occurred in this patient?
 
  1. Patient set a date to quit smoking.
  2. Patient uses emergency bronchodilator every 4 hours.
  3. Patient states that antibiotics are to be taken until all symptoms subside.
  4. Patient explains that adverse effects of prescribed medications are to be expected.

Question 2

The nurse is designing a quantitative research project where the data will be collected at one point in time. Which type of data collection process is the nurse planning to use?
 
  1. Prospective
  2. Longitudinal
  3. Retrospective
  4. Cross-sectional


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reelove4eva

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Reply #1 on: Jun 25, 2018
Answer to Question 1

Correct Answer: 1

When evaluating outcomes, the goal is positive changes in patient outcomes that impact healthcare quality. Smoking cessation in the patient with chronic obstructive lung disease would be a positive change that impacts the quality of healthcare. Using emergency bronchodilators indicates that the patient is poorly controlled. Stating that antibiotics are to be taken until symptoms subside indicates the need for additional teaching about infection control measures. Adverse effects of medications are not to be expected. This indicates that additional teaching is required.

Answer to Question 2

Correct Answer: 4

Cross-sectional data collection occurs at one point in time. Prospective data collection is the collection of data about variables that are occurring at the time of the data collection. Longitudinal data collection occurs at two or more points in time. Retrospective is the collection of data about variables that have already occurred.


Yolanda

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Reply 2 on: Jun 25, 2018
YES! Correct, THANKS for helping me on my review

bassamabas

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Reply 3 on: Yesterday
Gracias!

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