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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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Data Management and Technology Avoidance in a Free Clinic

Description
Capturing and presenting high-quality data can be challenging for free clinics due to lack of resources and technology avoidance. If free clinics are unable to present impactful data to current and potential donors, this may limit funding and restrict care provided to underserved and vulnerable populations. The following is a…

Capturing and presenting high-quality data can be challenging for free clinics due to lack of resources and technology avoidance. If free clinics are unable to present impactful data to current and potential donors, this may limit funding and restrict care provided to underserved and vulnerable populations. The following is a quality improvement project which addresses utilization of information systems within a free clinic. For one month, volunteer providers completed appointment summary forms for each patient seen in the clinic. Electronic form submissions (E=110) were compared to paper form submissions (P=196), with quality of data determined by form completeness scores. Welch’s t-test was used to determine statistical significance between electronic and paper form completeness scores (E=9.7, P=8.5) (p < .001). Findings suggest that utilization of electronic data collection tools within a free clinic produce more complete and accurate data. Barriers associated with technology utilization in this under-resourced environment were substantial. Findings related to overcoming some of these barriers may be useful for future exploration of health information technology utilization in under-resourced and technology avoidant settings. Results warrant future investigation of the relationship between quality of free clinic data, information management systems, provider willingness to utilize technology and funding opportunities in free clinics.
ContributorsCorcoran, Abigail T. (Author) / Thrall, Charlotte (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2021-04-24
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Decreasing and Providing Awareness for Burnout in Mental Health Care Workers

Description

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…

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.
ContributorsHenao, Cinthya (Author) / McIntosh, Wayne (Thesis advisor)
Created2020-05-01