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The Doctor of Nursing Practice Final Projects collection contains the completed works of students from the DNP Program at Arizona State University's College of Nursing and Health Innovation. These projects are the culminating product of the curricula and demonstrate clinical scholarship.

Collaborating Institutions:
College of Nursing and Health Innovation
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DNP Project Report: Alternative Treatment for Mood in PD

Description
Background: Around 40-50% of people with Parkinson’s disease will develop anxiety or depression, the number one factors affecting their quality of life. Cognitive behavioral therapy is the most well-established intervention for anxiety and depression in people with Parkinson’s disease. Purpose: The project addresses a southwestern Parkinson-specific community center’s need for…

Background: Around 40-50% of people with Parkinson’s disease will develop anxiety or depression, the number one factors affecting their quality of life. Cognitive behavioral therapy is the most well-established intervention for anxiety and depression in people with Parkinson’s disease. Purpose: The project addresses a southwestern Parkinson-specific community center’s need for mental health by incorporating a cognitive behavioral therapy-based mental health program, guided by the Cognitive Behavioral Model. Methods: Recruitment at the center took place during a virtual weekly meeting with inclusion criteria of a Parkinson’s disease diagnosis, 50 years or older, and English speaking. A four-week, virtual, nurse-led cognitive behavioral therapy-based mental health program was created to examine the effects on anxiety, depression, and quality of life in ten people with Parkinson’s disease. Pre-and post-intervention Geriatric Anxiety Inventory (Cronbach’s alpha, 0.91), Hamilton Depression Rating Scale (Cronbach’s alpha, 0.87), and Parkinson’s Disease Questionnaires (Cronbach’s alpha, 0.84) were used to assess anxiety, depression, and quality of life. Results: Using a Two-tailed paired samples t-Test, mean values and p-value were calculated with alpha value of 0.05, t(39) = -0.10, p = .922 for anxiety, Alpha value of 0.05, t(16)=3.69, p=0.002 for depression, Alpha value of 0.05, t(38)=5.07, p<0.001 for quality of life, and Alpha value of 0.05, t(5)=4.54, p=0.006 for emotional wellbeing. Conclusion: A cognitive behavioral therapy-based mental health program at a Parkinson-specific center has the potential to improve quality of life and decrease depression in people with Parkinson’s disease. Implications: Research with larger sample sizes, longer duration of therapy, and in-person format would be beneficial.
ContributorsKielbania, Meghan (Author) / De' Santiago, Stephanie (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2021-04-28
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Evidence-Based Algorithm to Prevent the Misdiagnosis of Attention-Deficit Hyperactivity Disorder in Preschoolers

Description

There is an increased risk of misdiagnosis of Attention Deficit Hyperactivity Disorder (ADHD)
in preschoolers due to the lack of validated diagnostic tools and provider knowledge of normal behavior and development. The goal of this project was to standardize the diagnostic process by adopting an evidence-based ADHD algorithm protocol for preschoolers…

There is an increased risk of misdiagnosis of Attention Deficit Hyperactivity Disorder (ADHD)
in preschoolers due to the lack of validated diagnostic tools and provider knowledge of normal behavior and development. The goal of this project was to standardize the diagnostic process by adopting an evidence-based ADHD algorithm protocol for preschoolers (3-5 years). In an urban military pediatric clinic, five pediatric care clinicians were provided with an educational ADHD algorithm.

Pre/posttest surveys were used to assess provider knowledge and perceptions of care. Chart audits determined preschooler ADHD diagnosis prevalence pre- and post-implementation of the algorithm. The rate of ADHD diagnosis in preschoolers reduced significantly from 78.6% pre-audit to 22.6% post-audit. In addition, providers improved their accuracy in diagnosing alternative disorders and behaviors that mimic the symptomology of ADHD (Z=-2.0, p=0.046). The rate of misdiagnosis of ADHD in preschoolers decreased because of the use of an evidence-based ADHD algorithm.
ContributorsBranch, Nancy (Author) / Jacobson, Diana (Thesis advisor)
Created2017-05-01