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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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Culturally Tailored Interventions for Childhood Obesity in Mexico

Description
The purpose of this Doctor of Nursing Practice (DNP) project is to develop and implement a culturally tailored educational program into a community clinic in a northern border community in Mexico to prevent and combat childhood obesity. In Mexico, 33.2% of children are overweight or obese and numbers are…

The purpose of this Doctor of Nursing Practice (DNP) project is to develop and implement a culturally tailored educational program into a community clinic in a northern border community in Mexico to prevent and combat childhood obesity. In Mexico, 33.2% of children are overweight or obese and numbers are continuing to rise, which has a significant impact on physical and psychological health and can lead to diabetes, fatty liver disease, thyroid disease, cardiovascular disease, cancer, depression, and other chronic diseases. Guided by Bandura’s theory of self-efficacy, weekly education sessions were delivered to members of the community clinic for two weeks. Content included both a nutrition component and an exercise component. An emphasis was made on increasing physical activity, increasing water consumption, decreasing sugar sweetened beverages, and increasing fruit and vegetable consumption. Videos were developed for each education session. Worksheets and handouts were developed to enhance learning and give participants a tangible reference for individual learning. Content was taken from the CDC and adapted to fit the needs of the community. All content was culturally tailored for low literacy levels and translated to Spanish. Knowledge, behavior change, and self-efficacy were measured by pre and post surveys. Self-efficacy showed statistically significant change from pre and post intervention. These findings suggest that healthy eating and exercise education can potentially increase knowledge, promote behavior change, and enhance self-efficacy, which can, in turn, prevent and combat childhood obesity and related disease states.
ContributorsBahena, Sara (Author) / Jacobson, Diana (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2022-04-26
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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