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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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Establishing Community to Extend Recovery Through Sober Fitness Fellowship

Description
Background: Existing substance use disorder guidelines are deficient in reducing relapse rates, evidenced by the substantial number of persons experiencing relapse within months of recovery, with most relapsing within one year. Current interventions lack community reinforcement approaches to reduce relapse and risk factors required to combat the extensive damages related…

Background: Existing substance use disorder guidelines are deficient in reducing relapse rates, evidenced by the substantial number of persons experiencing relapse within months of recovery, with most relapsing within one year. Current interventions lack community reinforcement approaches to reduce relapse and risk factors required to combat the extensive damages related to substance use as costs exceed $1 trillion annually. Guided by the Social Cognitive Model, this quality improvement project aims to explore how group exercise combined with community reinforcement reduces relapse. It aims to boost recovery capital by improving quality of life scores. Methods: A CrossFit instructor delivered personalized group exercise and wellness education in-person biweekly for six weeks. Adult residential treatment clients were eligible to participate recruited via a flyer upon treatment entry. A pre-intervention demographic questionnaire, a pre-/post World Health Organization Quality of Life Abbreviated scale (reliability ? = > 0.70) assessing intervention influence on the quality of life, and a post-intervention survey was administered. The lead investigator performed all data distribution and collection. Institutional Review Board approval safeguarded participants' rights and risks. Results: Pre/post improvements observed in all domains; psychological and environmental were statistically significant, while 100% of participants reported enhanced QoL, social support, & confidence related to long-term sobriety post-intervention. Discussion/Conclusion: Desired outcomes are increased quality of life scores to boost recovery capital. A sober community reinforcement approach combined with exercise may link to reducing relapse and total costs related to this growing public health crisis.
ContributorsChrapczynski, D. Alison (Author) / Nunez, Diane (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2022-04-30
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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