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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Description
Purpose: To educate clinic staff on interventions and education materials which are suitable for implementation in a pediatric primary care setting, and to improve delivery and documentation of appropriate asthma interventions and inhaler/spacer education.

Background: Asthma is a chronic illness that impacts 10.9% of the pediatric population in Arizona. Poor asthma

Purpose: To educate clinic staff on interventions and education materials which are suitable for implementation in a pediatric primary care setting, and to improve delivery and documentation of appropriate asthma interventions and inhaler/spacer education.

Background: Asthma is a chronic illness that impacts 10.9% of the pediatric population in Arizona. Poor asthma understanding and management leads to high-utilization of emergency rooms and urgent care clinics, negatively impacting the healthcare economy. Poor asthma management also leads to decreased health outcomes and impacts on the child’s academic functioning, mental health, and overall quality of life. Current evidence supports use of written asthma action plans (WAAP) and inhaler/spacer instruction to improve asthma management.

Methods: The intervention was an evidence-based educational session provided to the staff of a military, pediatric primary care clinic in southwest Arizona regarding the use of WAAP, the Asthma Control Test (ACT) and integrated inhaler/spacer instruction. Chart reviews were conducted to evaluate the documentation of use of WAAP, ACT, and inhaler/spacer education.

Results: Charts were collected from pre-intervention (n = 33) and post-intervention (n = 18). Data analysis demonstrated a statistically significant higher use of WAAP (U = 0.008, p < 0.05, d = 0.83). Although there was not a statistically significant change in use of ACT tool, Cohen’s value (d = 0.48) suggested a moderate positive effect. A Pearson correlation coefficient was also calculated for the relationship between use of ACT tool and use of WAAP, demonstrating a moderate positive correlation (r (49) = .372, p < .01).

Conclusions: An evidence-based education session for pediatric staff members is a cost-effective and simple method of improving pediatric asthma management practices.
ContributorsBrown, Jennifer (Author) / Bay, Sarah (Thesis advisor)
Created2019-05-02
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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