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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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Childhood Drowning: How Can Healthcare Providers Help?

Description
Introduction: Drowning is the leading cause of death in children between 1 and 4 years of age; in Arizona drownings are double the national average for this age group. The goal of this Doctor of Nursing project was to educate and empower pediatric providers to give quality drowning prevention (DP)…

Introduction: Drowning is the leading cause of death in children between 1 and 4 years of age; in Arizona drownings are double the national average for this age group. The goal of this Doctor of Nursing project was to educate and empower pediatric providers to give quality drowning prevention (DP) anticipatory guidance (AG) to caregivers of children between 1 and 4 years of age at every well exam. Method: This quality improvement (QI) project included 32 providers from six pediatric clinics in Arizona. A one-hour education session focused on drowning prevention followed one month later by a a thirty-minute follow-up feedback session were conducted. Pre- and post- education surveys were administered at the first session to measure perceived previous and future intended DP AG practice. An additional follow-up survey was administered at the second session to evaluate perceived change. In addition, caregivers were contacted and surveyed one to three months post initial education to assess provider delivery of AG. Likert-scales and descriptive statistics were used to evaluate data sets. Results: Post-educational intervention, providers reported increased intention (p = 0.027) to provide water safety AG, and increased intention (p < 0.001) to connect water AG to developmental milestones. Post-intervention follow-up indicated an increased provision of developmentally specific water safety AG to caregivers (p < 0.001) and increased connection of developmental milestones in AG (p = 0.016). Barriers that prevent water safety AG were reported as time constraints and other perceived AG of higher priority. Implications: This QI project adds to the literature and demonstrates the benefit of education to invigorate and empower increased provision of quality DP AG from providers.
ContributorsDiMiceli, Carolyn (Author) / Jacobson, Diana (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2021-04-22
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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