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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- All Subjects: Childhood Obesity
The birth of a new baby is known to be a joyful time for families. However, such a treasured experience can quickly reroute in a matter of moments which leaves the family feeling helpless, frightened, and guilty. The innate process of bonding and attachment is interrupted by the resuscitative course following a traumatic birth. Separation, grief, anger, and fear promote what’s being deemed more and more frequently as parental posttraumatic stress disorder (PTSD). Rates of parental PTSD associated with separation at birth are equivalating those of post-partum depression and post-partum psychosis. Emotionally unstable parents are unable to adequately care for their newborn for both short and long term needs.
Facilitation and support of the parental role in an altered environment, such as a neonatal intensive care unit (NICU), is thought to create opportunities for relationship security. Establishment of an emotionally invested caregiver has been proven to minimize sequelae of the NICU patient, reduce length of stay, cut readmission rates, and lower the incidence of failure to thrive post-discharge. A parental psychosocial program was instituted in a 32-bed NICU within a southwest children’s hospital. The program efficacy was analyzed several months after implementation. Results are concurrent with the thought that individual counseling for NICU families reduces stress scores and improves patient satisfaction at discharge.
Background and Significance: NIRS data can be used in conjunction with standard vital sign monitoring to help clinicians understand blood flow and metabolic demands of organ systems, particularly cerebral, renal, and mesenteric blood flow patterns. A NICU unit in the northwestern US adopted NIRS use on their patients in 2008, however, NIRS monitoring usage decreased over the past 5 years, citing a lack of continued education and comfort interpreting and managing NIRS monitored patients. One patient was monitored with NIRS in the year prior to the QI project.
Methods: A 5 point Likert-Type survey was designed to examine provider comfort and confidence using and interpreting NIRS on NICU patients. No Croanbach’s alpha value exists for the survey as it was purposefully designed for the QI project. An educational presentation on the use and interpretation of NIRS on NICU patients was created and delivered during a formal provider staff meeting. Pre and Post education surveys were distributed electronically to participants and were presented 1 week prior to educational session and 1 month after educational session. IBM SPSS version 23 was used for descriptive statistics, paired t tests, and Wilcoxon test. Significance set to p<0.05.
Results: In total, 18 providers (N=18) were surveyed, and 13 paired survey results (n=13) were received (8 MD and 5 NNP). Paired-samples t tests were calculated to compare the mean total score (TS) for pre/post comfort and pre/post confidence. This was a significant improvement for both comfort (t(11) = -3.13, p=0.010) and confidence (t(11) = -3.37, p=0.006). Wilcoxon test showed a significant increase in the times a provider managed a patient with NIRS (z=-2.762, p=0.006). The number NIRS monitored patients increased from one in the previous year to 15 patients in the 5 months of data tracking, a clinically significant increase.
Conclusions: Providing educational session on previously utilized clinical applications can improve providers comfort and confidence and influence their usage in clinical practice. Future continuing education sessions could be designed for different clinical applications in order to keep clinicians abreast of the current evidenced based applications of advanced clinical monitors.
Health statistics for physical activity, nutrition, and psychological wellbeing demonstrate the tenuous status of youth in the United States (US). These factors significantly affect growth and development during this critical period and indelibly influence adult health. Consequently, the successful utilization of multicomponent pediatric health promotion programs could improve current and future health, saving billions in health-care costs. The analysis of a literature review on this topic led to the development and completion of an evidence-based project. The project was guided by two conceptual frameworks, Pender’s Health Promotion Model and the Stetler Model for Evidence-based Practice. The project was completed in partnership with a local after-school youth program.
Methodology included a project intervention comprised of a single specialized training session. Data was collected using a pretest-posttest format with repeated measures from a survey adapted from the Organization Readiness to Change Assessment (ORCA) tool. Survey questions focused on participant’s knowledge, skills, attitudes, and use of the selected health promotion program. Descriptive Statistics, the Wilcoxon-Signed Rank Test, and the Friedman Test were completed for data analysis using IBM SPSS v25. Using a critical value p < .1, results from the data indicated improvement in median scores for participant’s knowledge and skills (p-value’s range = .05 - .082). Other changes were not statistically significant (p-value’s range = .135 - .317). The results indicate the project intervention’s efficacy. Future research may focus on optimal training formats, a comparison of repeat sessions versus supplemental web-accessible resources, and program sustainability via refresher sessions and/or designated management.
Background:
Approximately 1 in 5 U.S. school-aged children are obese. There are many known health complications associated with obesity including premature death. Family-based obesity interventions that promote healthy lifestyle habits are effective at enabling children to make changes needed to avoid long-term health complications associated with obesity. The purpose of this evidence-based practice intervention was to evaluate the effectiveness of a family-based obesity intervention on familial lifestyle behaviors related to nutrition, physical activity, and screen time.
Methods:
Two overweight-obese children (according to CDC criteria) ages 8-12 years old visiting a pediatric primary care clinic in a suburban neighborhood located in the southwest region were recruited to participate in this evidence-based practice intervention based on inclusion and exclusion criteria. Familial lifestyle behaviors were assessed using the Family Health Behavior Scale (FHBS) prior to receiving an educational intervention addressing nutritional, physical activity, and screen time recommendations and again after following these recommendation for 6-weeks. Additionally, scheduled follow-up phone calls were made every 3 or 6-weeks addressing any parental questions that surfaced. Data was insufficient for statistical analysis, however, anecdotal recommendations for future implementation of this intervention resulted.
Results:
Of the two patients who participated, pre- and post-intervention data was only attainable from one patient. That patient did have improved scores within each of the 4 FHBS subscales (parent behaviors, physical activity, mealtime routines, and child behaviors). Overall, 11 of the 27 behaviors assessed improved, 12 behaviors resulted in no change, and 4 behaviors worsened. Recommendations related to a more successful implementation of this intervention in the future include improved provider participation (buy-in), utilization of broader inclusion criteria, consideration of the implementation time-frame, and application of the Health Belief Model for addressing existing barriers for each patient prior to implementing the intervention.
Conclusions:
In order to determine the effectiveness of this intervention a larger sample size and completed post-intervention data are needed. The small sample size and lack of post-intervention data inhibits proper data analyzation and significance from being determined.