Doctor of Nursing Practice (DNP) Final Projects
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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- Creators: Chifelle, Rochelle
- Creators: Branch, Nancy
Cancer survivorship has been identified as separate stage in cancer treatment posing unique issues that arise from the diagnosis of cancer, as well as late effects associated with treatments. Evidence shows that cancer survivors demonstrate suboptimal follow-up care, and report high levels of unmet needs related to their cancer experience. To improve care for the increasing number of cancer survivors in the United States, survivorship care plans (SCPs) have been proposed as way to strengthen care coordination and improve patient outcomes.
Research suggests that SCPs have favorable impact on patient satisfaction and quality of life, however little research to date investigates the utility of SCPs in improving patient outcomes, adherence to follow-up recommendations, or patients’ confidence in self-care management. To further understand the role of SCPs in survivorship care, a pilot implementation of SCPs in colon cancer patients was implemented to gather data on the identified gaps.
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.