Doctor of Nursing Practice (DNP) Final Projects

Background:
Asthma is one of the most common pediatric diseases, affecting 6.3 million U.S. children in 2014, that can result in negative health outcomes if not managed correctly due to it's chronic and complex nature requiring frequent and close management (NHLBI, 2007). The National Heart, Lung, and Blood Institute's (NHLBI) Guidelines for the Diagnosis and Management of Asthma will be implemented into practice to determine the health outcomes of patients before and after guideline implementation.

Methods:
Inclusion criteria includes patients 5-18 years with a history of asthma, recurrent albuterol use, or intermittent symptoms of airflow obstruction. Data will be collected through EHR data reports at pre implementation, 3 months, and 6 months post implementation and will be analyzed using SPSS. Descriptive statistics, paired t-tests, and a Friedman's ANOVA will be conducted to analyze data.

Results:
A Friedman ANOVA was conducted comparing the outcome variables six months priot to the practice change, at three months post implementation, and at six months post implementation. A significant difference was found (x2(15) = 216.62, p<.05). The implementation of the practice change significantly affected the outcome variables.

Conclusions:
In general, the implementation of a practice change to use evidence based NHLBI ERP-3 Asthma Guidelines, along with staff and provider education sessions and creation of standardized assessment and documentation tools resulted in positive changes in the outcomes variables. Findings from this study along with the literature of implementing evidence based asthma guidelines supports similar practice change implementations in other pediatric primary care clinics.

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.

Hospital readmissions for palliative care patients are costly for patients, families, insurance providers, and palliative care organizations. The evidence shows that integrating virtual visits into palliative care is an innovative way to reduce hospital readmissions, preserve costs, and reduce geographical barriers. The purpose of this article is to evaluate how well transitional care virtual visits reduce future hospital readmissions for palliative care patients when compared to usual care of in-home nurse visits. Palliative care patients from a large palliative company in Arizona, who received a transitional care, post hospital discharge, virtual visit with traditional model care (intervention) were compared to randomly selected traditional model care patients (control).

Data was collected through a retrospective chart review at 30 and 60 days post hospital discharge to evaluate for hospital readmissions and avoided readmissions. The Fishers Exact test was used to compare the results of the two groups to each other. There was no significant difference between the two groups. Virtual visits have an added cost to the agency without decreasing the risk of readmission. Implications for practice are to continue offering transitional care in-home nurse visits. Future research should evaluate if using virtual visits justify the increased costs of use.

Background: The cost of substance use (SU) in the United States (U.S.) is estimated at $1.25 trillion annually. SU is a worldwide health concern, impacting physical and psychological health of those who use substances, their friends, family members, communities and nations. Screening, Brief Intervention (BI) and Referral to Treatment (SBIRT) provides an evidence-based (EB) framework to detect and treat SU. Evidence shows that mental health (MH) providers are not providing EB SU management. Federally grant-funded SBIRT demonstrated evidence of decreased SU and prevention of full disorders. Implementation outcomes in smaller-scale projects have included increased clinician knowledge, documentation and interdisciplinary teamwork.

Objective: To improve quality of care (QOC) for adolescents who use substances in the inpatient psychiatric setting by implementing EB SBIRT practices.

Methods: Research questions focused on whether the number of SBIRT notes documented (N=170 charts) increased and whether training of the interdisciplinary team (N=26 clinicians) increased SBIRT knowledge. Individualized interventions used existing processes, training and a new SBIRT Note template. An SBIRT knowledge survey was adapted from a similar study. A pre-and post-chart audit was conducted to show increase in SBIRT documentation. The rationale for the latter was not only for compliance, but also so that all team members can know the status of SBIRT services. Thus, increased interdisciplinary teamwork was an intentional, though indirect, outcome.

Results: A paired-samples t-test indicated clinician SBIRT knowledge significantly increased, with a large effect size. The results suggest that a short, 45-60-minute tailored education module can significantly increase clinician SBIRT knowledge. Auditing screening & BI notes both before and after the study period yielded important patient SU information and which types of SBIRT documentation increased post-implementation. The CRAFFT scores of the patients were quite high from a SU perspective, averaging over 3/6 both pre- and post-implementation, revealing over an 80% chance that the adolescent patient had a SU disorder. Most patients were positive for at least one substance (pre- = 47.1%; post- = 65.2%), with cannabis and alcohol being the most commonly used substances. Completed CRAFFT screenings increased from 62.5% to 72.7% of audited patients. Post-implementation, there were two types of BI notes: the preexisting Progress Note BI (PN BI) and the new Auto-Text BI (AT BI), part of the new SBIRT Note template introduced during implementation. The PN BIs not completed despite a positive screen increased from 79.6% to 83.7%. PN BIs increased 1%. The option for AT BI notes ameliorated this effect. Total BI notes completed for a patient positive for a substance increased from 20.4% to 32.6%, with 67.4% not receiving a documented BI. Total BIs completed for all patients was 21.2% post-implementation.

Conclusion: This project is scalable throughout the U.S. in MH settings and will provide crucial knowledge about positive and negative drivers in small-scale SBIRT implementations. The role of registered nurses (RNs), social workers and psychiatrists in providing SBIRT services as an interdisciplinary team will be enhanced. Likely conclusions are that short trainings can significantly increase clinician knowledge about SBIRT and compliance with standards. Consistent with prior evidence, significant management involvement, SBIRT champions, thought leaders and other consistent emphasis is necessary to continue improving SBIRT practice in the target setting.

Keywords: adolescents, teenagers, youth, alcohol, behavioral health, cannabis, crisis, documentation, drug use, epidemic, high-risk use, illicit drugs, implementation, mental health, opiates, opioid, pilot study, psychiatric inpatient hospital, quality improvement, SBIRT, Screening, Brief Intervention and Referral to Treatment, substance use, unhealthy alcohol use, use disorders