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

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
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Description
Purpose: To integrate text messaging into a multi-component reminder system to improve influenza vaccination rates among children with chronic respiratory conditions.

Background: Influenza presents burdens for children with chronic respiratory conditions including increased mortality, morbidity, hospitalizations, and decreased quality of life for children and caregivers. Influenza vaccinations may reduce these

Purpose: To integrate text messaging into a multi-component reminder system to improve influenza vaccination rates among children with chronic respiratory conditions.

Background: Influenza presents burdens for children with chronic respiratory conditions including increased mortality, morbidity, hospitalizations, and decreased quality of life for children and caregivers. Influenza vaccinations may reduce these complications yet approximately half of children remain unprotected annually. Synthesized evidence supports integration of text messaging into a multi-component strategy to increase the influenza vaccination rate in many populations of interest.

Methods: The intervention was a single text message and electronic mail message sent to all families in a private pediatric pulmonology practice who enabled text and/or electronic mail messages in the patient portal. A follow-up survey assessed various aspects of message receipt. Surveys were completed without collection of demographic information.

Results: Electronic mail messages were sent to 3140 addresses available in the patient portal. The number of text messages sent out via the patient portal was 75 with 66 (88%) delivered successfully. Follow-up surveys were initiated by 107 recipients. Frequency analysis showed that participants preferred text and electronic mail messages over other forms of communication. A statistically significant positive relationship was found utilizing Chi Square between those who received a message and those whose child received an influenza vaccination (p= .027).

Conclusions: Text and electronic mail messaging are cost-effective and well-received forms of communication that can be easily integrated into existing systems. These delivery routes are translatable to many populations and can convey various types of messages.
ContributorsBay, Sarah L. (Author)
Created2016-05-03