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: Branch, Nancy
Background: Alarming levels of burnout in mental health care staff is a significant concern not only for the organization but for the individual as well. Identifying and addressing burnout ought to be an essential protocol in a behavioral health organization. Currently, burnout remains an ongoing concern for mental health care organizations as it is associated with negative impacts for staff, patients, families, and the organization.
Method: The purpose of this project is to utilize the Maslach burnout inventory (MBI) survey tool to measure burnout pre and post intervention. The intervention utilized will be mindfulness-based interventions (MBI) to reduce burnout among mental healthcare workers. Implementing mindfulness interventions has evidence that it reduces burnout rates in mental health care staff. Current literature supports mindfulness-based interventions and have showed a decrease in burnout, stress, and depersonalization.
Results: The pre-intervention results were as followed: emotional exhaustion; 40, depersonalization; 20.4 and personal accomplishment 32. The post-intervention results emotional Exhaustion; 28, depersonalization; 14.90 and personal accomplishment 30. It was found that the category for emotional exhaustion was statistically significant as it had a P value .040, whereas depersonalization was not statistically significant as the P value was .171 and personal accomplishment was not statistically significant as the P value was .577.
Discussion: The use of MBI as an intervention has robust literature supporting the effectiveness in decreasing burnout and stress in mental health care staff.
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.