School of Nursing DNP Final Projects

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https://hdl.handle.net/10323/11352

The School of Nursing at Oakland University offers a DNP Program that builds upon the university’s long tradition of civic engagement and reform-oriented advocacy. The DNP program provides students with a holistic perspective that enables them to exercise high-impact, results-based health care leadership. The completion of a DNP Final Project is required for graduation; it demonstrates synthesis of the course work and lays the foundation for future scholarship. The Doctor of Nursing Practice Project Handbook provides more specific information and policies related to the project.

Beginning in 2021, the DNP Final Projects are collected here and made publicly available.


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Browsing School of Nursing DNP Final Projects by Author "Dunn, Karen"

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    Increasing Knowledge of Emotional Intelligence: An Emotional Intelligence Education Workshop for Certified Registered Nurse Anesthetists
    (2023-07-14) Knudsen, Hadley; Romprey, Alyssa; Dunn, Karen; kdunn@oakland.edu
    Certified registered nurse anesthetists (CRNAs) provide safe, efficient, high quality yet low-cost anesthesia care for the United States of America. However, job- related stress can contribute to poor performance and burnout in the nurse anesthesia profession. Emotionally intelligent individuals are aware of their own emotional state, are able regulate their emotions and can handle stressful situations leading to a healthier physical and mental state. Existing literature cites various implications of emotional intelligence (EI) in the healthcare field such as improved job satisfaction, decreased burnout, improved interprofessional communication, and enhanced patient outcomes. EI is teachable; however, there is no standardized teaching methodology. The most frequently cited and successful interventions to increase one’s emotional intelligence levels recommended multiple in-person education sessions lasting one to two hours over the course of a year; however, this pilot study was only conducted as a single one hour in person workshop. Based on the literature, the purpose of this pre-test/post-test pilot project was to develop and implement an educational workshop to solely increase knowledge levels of EI in a sample of Michigan CRNAs. A convenience sample of 39 Michigan CRNAs consented to participate in the workshop. No statistically significant difference was found [t (38) = -.595, p = .55] between the pre-test assessment (M = 8.97, SD = 1.11) and post-test assessment (M = 9.05, SD = 1.05). Statistical significance was found [t (37) = -5.441, p < .001] in the presentation evaluation item which prompted participants to rate their knowledge or familiarity with EI before (M = 3.84, SD = .86) and after (M = 4.5, SD = .60) the workshop [t (38) = -5.441, p <.001]. The workshop design was an effective teaching modality to increase participants personal knowledge levels of EI.
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    Retrospective Application of the PRODIGY Risk Prediction Model in Patients Experiencing Postoperative Adverse Respiratory Events
    (2022-07-28) MacDonald, Austin; Nixon, Brian; Dunn, Karen; kdunn@oakland.edu
    Background: Postoperative respiratory depression is a major contributor to patient morbidity and mortality. Historically, postoperative opioid-induced respiratory depression (POIRD) has been shown to be difficult to predict, leading to increased patient morbidity and mortality. The Prediction of Opioid-Induced Respiratory Depression in Patients Monitored by Capnography (PRODIGY) model is a novel risk prediction tool. It has been shown to be quick and effective for predicting opioid-induced respiratory depression and utilizes five patient characteristics in its scoring system (age, sex, previous opioid use, sleep disordered breathing, and chronic heart failure). Purpose: This quality improvement project aimed to determine if the PRODIGY risk prediction model would be a valid predictor of POIRD in the adult, inpatient, postsurgical population at a single, large, academic medical center. Additionally, this project aimed to identify timeframes for naloxone administration as well as surgical specialties where naloxone was used more frequently in the postoperative period. Methods: This quality improvement project consisted of a retrospective chart review of 47 adult, inpatient, postsurgical patients who had received parenteral opioids and naloxone after anesthesia was concluded. PRODIGY risk scores were determined and then subsequently categorized as low-, intermediate-, or high-risk for developing POIRD. Timeframes for naloxone administration were analyzed and a median time was established. Surgical specialties were grouped and analyzed for increased frequency of naloxone administration. Results: After application of the PRODIGY risk prediction model, 31 (66%) of patients were categorized as high-risk for developing POIRD. Additionally, 42 (89.4%) of 47 total patients were categorized as intermediate- or high-risk for developing POIRD. Only 5 (10.6%) patients were categorized as low-risk. The median timeframe when naloxone was administered after conclusion of anesthesia was 23.4 hours. The surgical specialties with increased incidence of naloxone administration (>10%) were cardiac surgery (17%), general surgery (14.9%), orthopedic surgery (14.9%), endoscopy (14.9%), vascular surgery (10.6%), and neuro-spine surgery (10.6%). Conclusion: The PRODIGY risk prediction model was effective in predicting POIRD in adult, inpatient, postsurgical patients who had received parenteral opioids and naloxone following anesthesia at this single, large, academic medical center. This risk prediction tool may be utilized preoperatively to identify high-risk patients, establish opioid-sparing anesthetic techniques, and implement appropriate postoperative monitoring (continuous pulse oximetry and capnography). Confirmation that the median timeframe for naloxone administration was within 24 hours after surgery further supports the use of continuous monitoring in high-risk patients for at least 24 hours after anesthesia is concluded.