Caucasian Girl with ADHD
The Assignment
Examine Case Study: A Young Caucasian Girl with ADHD
You will be asked to make three decisions concerning the medication to prescribe to this client. Be sure to consider factors that might impact the client’s pharmacokinetic and pharmacodynamic processes.
At each decision point there will be three decisions. I will choose one out of the three and give the outcome. At each decision point these are the thoughts to ponder:
Decision #1
Which decision did you select?
Why did you select this decision? Support your response with evidence and references to the Learning Resources.
What were you hoping to achieve by making this decision? Support your response with evidence and references to the Learning Resources.
Explain any difference between what you expected to achieve with Decision #1 and the results of the decision. Why were they different?
Decision #2
Why did you select this decision? Support your response with evidence and references to the Learning Resources.
What were you hoping to achieve by making this decision? Support your response with evidence and references to the Learning Resources.
Explain any difference between what you expected to achieve with Decision #2 and the results of the decision. Why were they different?
Decision #3
Why did you select this decision? Support your response with evidence and references to the Learning Resources.
What were you hoping to achieve by making this decision? Support your response with evidence and references to the Learning Resources.
Explain any difference between what you expected to achieve with Decision #3 and the results of the decision. Why were they different?
***Also include how ethical considerations might impact your treatment plan and communication with clients.***
Finally: 1. Complete the decision tree (keep track of what you selected. come up with a rational reason why you chose it. Come up with patient specific rational reason behind not choosing the other two options not chosen).
2. Write paper addressing all section listed based on the decision tree.