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: Carroccio, Tanya
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.
Methods: Analysis of a subset of questions from a larger survey was used to evaluate wearable device attitudes and behavior changes over time. Convenience sample (n=10), ages >18, required enrollment in a clinic-based weight and wellness program (WWP) to participate. The survey questions assessed effectiveness of wearable device on a 0-10 motivation scale to increase physical activity and a self- assessment of behavioral changes at specific intervals over a 6-month period. Descriptive statistics and non-parametric, two-tailed tests will be used to analyze the data. Due to the necessity of detecting minute differences with the small sample size, the significance level will be tested at the p<0.10.
Results: Participants >18 years of age, enrolled in a WWP (n=10) included 20% male and 80% female. Although a 12.3% increase in the mean score was found from week-1 to 6-months, the results were not statistically conclusive to the effectiveness of self-motivation to increase activity by participants wearing an activity tracking device; however, results are statistically significant for participants to increase activity with behavior changes based on device dashboard.
Conclusions: It is recommended for primary care providers to encourage the use of an activity tracking wearable device for behavior change to increase activity.