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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.

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College of Nursing and Health Innovation
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Hospital Discharge for Children with Medical Complexity and Adverse Events

Description
Objective: To understand and prevent adverse discharge events, the project assesses the needs and gaps of discharge care coordination for child(ren) with medical complexities (CMC). The National Survey of Children’s Health show 87.4% of CMC does not receive care in a well-functioning system, and 47.4% did not receive adequate care…

Objective: To understand and prevent adverse discharge events, the project assesses the needs and gaps of discharge care coordination for child(ren) with medical complexities (CMC). The National Survey of Children’s Health show 87.4% of CMC does not receive care in a well-functioning system, and 47.4% did not receive adequate care coordination 1. Therefore, does initiating measurement tools and communication before and after discharge identify and prevent discharge related adverse events? Methods: After IRB approval, a mixed-methods approach project occurred at southwestern pediatric free-standing hospital. Through eight weeks of convenience sampling, CMC caregivers were recruited in the inpatient setting (n=5). Qualitative and quantitative data were obtained through: [Pediatric] Care Transitions Measurement Tool – 15 (CTM- 15), with a Cronbach’s alpha of .932; a demographics survey; a post-discharge survey; and electronic health records. Results: The CTM-15 post-discharge score was 83.3 (N = 4, SD = 9.83, SE¬M = 4.92). CTM-15 qualitative data included: communication issues; rushed discharge; poor discharge anticipatory guidance; hospital policy concerns; follow-up appointment issues; and prescription errors. LOS average for all participants was 137.8 days (SD = 102.75, SEM = 45.95) with 40 unintended hospital days (SD = 41.55, SEM = 18.51). Issues encountered 30 days post-discharge included: prescription errors, follow-up issues, and home health issues. Conclusion: Hospitalized CMC have an increased risk to encounter a discharge adverse event because of a complex intertwining of disciplines, services, medications, and needs. Communication, tools, and surveys did not capture all the problems encountered by families with CMC; however, it did identify areas of notable concern.
ContributorsChalla, Hannah (Author) / Bucci, Aimee (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2022-05-02
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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